diff --git a/samples/timm/resnetblur50d/graph_hash.txt b/samples/timm/resnetblur50d/graph_hash.txt new file mode 100644 index 000000000..ce4d67663 --- /dev/null +++ b/samples/timm/resnetblur50d/graph_hash.txt @@ -0,0 +1 @@ +5eb6bb0cab773db63d9fb8fcaae48c456df8fb2040ac6ee87c6cc2305d6b13c8 \ No newline at end of file diff --git a/samples/timm/resnetblur50d/graph_net.json b/samples/timm/resnetblur50d/graph_net.json new file mode 100644 index 000000000..1373fe3b5 --- /dev/null +++ b/samples/timm/resnetblur50d/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/resnetblur50d/input_meta.py b/samples/timm/resnetblur50d/input_meta.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/timm/resnetblur50d/input_tensor_constraints.py b/samples/timm/resnetblur50d/input_tensor_constraints.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/timm/resnetblur50d/model.py b/samples/timm/resnetblur50d/model.py new file mode 100644 index 000000000..670141dd3 --- /dev/null +++ b/samples/timm/resnetblur50d/model.py @@ -0,0 +1,2753 @@ +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_maxpool_modules_1_buffers_filt_: torch.Tensor, + 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_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_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_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_aa_buffers_filt_: torch.Tensor, + 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_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_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_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_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_aa_buffers_filt_: torch.Tensor, + 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_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_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_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_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_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_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_aa_buffers_filt_: torch.Tensor, + 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_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_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_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_maxpool_modules_1_buffers_filt_ = ( + L_self_modules_maxpool_modules_1_buffers_filt_ + ) + 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_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_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_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_aa_buffers_filt_ = ( + L_self_modules_layer2_modules_0_modules_aa_buffers_filt_ + ) + 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_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_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_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_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_aa_buffers_filt_ = ( + L_self_modules_layer3_modules_0_modules_aa_buffers_filt_ + ) + 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_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_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_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_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_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_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_aa_buffers_filt_ = ( + L_self_modules_layer4_modules_0_modules_aa_buffers_filt_ + ) + 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_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_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_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 + input_8 = torch.nn.functional.max_pool2d( + x_1, 3, 1, 1, 1, ceil_mode=False, return_indices=False + ) + x_1 = None + x_2 = torch._C._nn.pad(input_8, [1, 1, 1, 1], "reflect", None) + input_8 = None + input_9 = torch.conv2d( + x_2, l_self_modules_maxpool_modules_1_buffers_filt_, stride=2, groups=64 + ) + x_2 = l_self_modules_maxpool_modules_1_buffers_filt_ = None + x_3 = torch.conv2d( + input_9, + 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 + input_10 = torch.conv2d( + input_9, + l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + input_9 = l_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) + input_11 = torch.nn.functional.batch_norm( + input_10, + 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_10 = 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_10 += input_11 + x_11 = x_10 + x_10 = input_11 = None + x_12 = torch.nn.functional.relu(x_11, inplace=True) + x_11 = None + x_13 = torch.conv2d( + x_12, + 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_14 = torch.nn.functional.batch_norm( + x_13, + 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_13 = ( + 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_15 = torch.nn.functional.relu(x_14, inplace=True) + x_14 = None + x_16 = torch.conv2d( + x_15, + l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_15 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None + x_17 = torch.nn.functional.batch_norm( + x_16, + 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_16 = ( + 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_18 = torch.nn.functional.relu(x_17, inplace=True) + x_17 = None + x_19 = torch.conv2d( + x_18, + l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_18 = l_self_modules_layer1_modules_1_modules_conv3_parameters_weight_ = None + x_20 = torch.nn.functional.batch_norm( + x_19, + 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_19 = ( + 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 + x_20 += x_12 + x_21 = x_20 + x_20 = x_12 = None + x_22 = torch.nn.functional.relu(x_21, inplace=True) + x_21 = None + x_23 = torch.conv2d( + x_22, + 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_24 = torch.nn.functional.batch_norm( + x_23, + 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_23 = ( + 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_25 = torch.nn.functional.relu(x_24, inplace=True) + x_24 = None + x_26 = torch.conv2d( + x_25, + l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_25 = l_self_modules_layer1_modules_2_modules_conv2_parameters_weight_ = None + x_27 = torch.nn.functional.batch_norm( + x_26, + 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_26 = ( + 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_28 = torch.nn.functional.relu(x_27, inplace=True) + x_27 = None + x_29 = torch.conv2d( + x_28, + l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_28 = l_self_modules_layer1_modules_2_modules_conv3_parameters_weight_ = None + x_30 = torch.nn.functional.batch_norm( + x_29, + 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_29 = ( + 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 + x_30 += x_22 + x_31 = x_30 + x_30 = x_22 = None + x_32 = torch.nn.functional.relu(x_31, inplace=True) + x_31 = None + x_33 = torch.conv2d( + x_32, + 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_34 = torch.nn.functional.batch_norm( + x_33, + 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_33 = ( + 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_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_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_35 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None + x_37 = torch.nn.functional.batch_norm( + x_36, + 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_36 = ( + 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_38 = torch.nn.functional.relu(x_37, inplace=True) + x_37 = None + x_39 = torch._C._nn.pad(x_38, [1, 1, 1, 1], "reflect", None) + x_38 = None + x_40 = torch.conv2d( + x_39, + l_self_modules_layer2_modules_0_modules_aa_buffers_filt_, + stride=2, + groups=128, + ) + x_39 = l_self_modules_layer2_modules_0_modules_aa_buffers_filt_ = None + x_41 = torch.conv2d( + x_40, + l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_40 = l_self_modules_layer2_modules_0_modules_conv3_parameters_weight_ = None + x_42 = torch.nn.functional.batch_norm( + x_41, + 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_41 = ( + 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 + input_12 = torch._C._nn.avg_pool2d(x_32, 2, 2, 0, True, False, None) + x_32 = None + input_13 = torch.conv2d( + input_12, + l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + input_12 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) + input_14 = torch.nn.functional.batch_norm( + input_13, + 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_13 = 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_42 += input_14 + x_43 = x_42 + x_42 = input_14 = None + x_44 = torch.nn.functional.relu(x_43, inplace=True) + x_43 = None + x_45 = torch.conv2d( + x_44, + 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_46 = torch.nn.functional.batch_norm( + x_45, + 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_45 = ( + 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_47 = torch.nn.functional.relu(x_46, inplace=True) + x_46 = None + x_48 = torch.conv2d( + x_47, + l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_47 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None + x_49 = torch.nn.functional.batch_norm( + x_48, + 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_48 = ( + 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_50 = torch.nn.functional.relu(x_49, inplace=True) + x_49 = None + x_51 = torch.conv2d( + x_50, + l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_50 = l_self_modules_layer2_modules_1_modules_conv3_parameters_weight_ = None + x_52 = torch.nn.functional.batch_norm( + x_51, + 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_51 = ( + 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 + x_52 += x_44 + x_53 = x_52 + x_52 = x_44 = None + x_54 = torch.nn.functional.relu(x_53, inplace=True) + x_53 = None + x_55 = torch.conv2d( + x_54, + 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_56 = torch.nn.functional.batch_norm( + x_55, + 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_55 = ( + 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_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_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_57 = l_self_modules_layer2_modules_2_modules_conv2_parameters_weight_ = None + x_59 = torch.nn.functional.batch_norm( + x_58, + 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_58 = ( + 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_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_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_60 = l_self_modules_layer2_modules_2_modules_conv3_parameters_weight_ = None + x_62 = torch.nn.functional.batch_norm( + x_61, + 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_61 = ( + 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 + x_62 += x_54 + x_63 = x_62 + x_62 = x_54 = None + x_64 = torch.nn.functional.relu(x_63, inplace=True) + x_63 = None + x_65 = torch.conv2d( + x_64, + 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_66 = torch.nn.functional.batch_norm( + x_65, + 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_65 = ( + 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_67 = torch.nn.functional.relu(x_66, inplace=True) + x_66 = None + x_68 = torch.conv2d( + x_67, + l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_67 = l_self_modules_layer2_modules_3_modules_conv2_parameters_weight_ = None + x_69 = torch.nn.functional.batch_norm( + x_68, + 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_68 = ( + 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_70 = torch.nn.functional.relu(x_69, inplace=True) + x_69 = None + x_71 = torch.conv2d( + x_70, + l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_70 = l_self_modules_layer2_modules_3_modules_conv3_parameters_weight_ = None + x_72 = torch.nn.functional.batch_norm( + x_71, + 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_71 = ( + 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 + x_72 += x_64 + x_73 = x_72 + x_72 = x_64 = None + x_74 = torch.nn.functional.relu(x_73, inplace=True) + x_73 = None + x_75 = torch.conv2d( + x_74, + 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_76 = torch.nn.functional.batch_norm( + x_75, + 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_75 = ( + 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_77 = torch.nn.functional.relu(x_76, inplace=True) + x_76 = None + x_78 = torch.conv2d( + x_77, + l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_77 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None + x_79 = torch.nn.functional.batch_norm( + x_78, + 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_78 = ( + 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_80 = torch.nn.functional.relu(x_79, inplace=True) + x_79 = None + x_81 = torch._C._nn.pad(x_80, [1, 1, 1, 1], "reflect", None) + x_80 = None + x_82 = torch.conv2d( + x_81, + l_self_modules_layer3_modules_0_modules_aa_buffers_filt_, + stride=2, + groups=256, + ) + x_81 = l_self_modules_layer3_modules_0_modules_aa_buffers_filt_ = None + x_83 = torch.conv2d( + x_82, + l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_82 = l_self_modules_layer3_modules_0_modules_conv3_parameters_weight_ = None + x_84 = torch.nn.functional.batch_norm( + x_83, + 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_83 = ( + 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 + input_15 = torch._C._nn.avg_pool2d(x_74, 2, 2, 0, True, False, None) + x_74 = None + input_16 = torch.conv2d( + input_15, + l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + input_15 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) + input_17 = torch.nn.functional.batch_norm( + input_16, + 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_16 = 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_84 += input_17 + x_85 = x_84 + x_84 = input_17 = 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_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_88 = torch.nn.functional.batch_norm( + x_87, + 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_87 = ( + 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_89 = torch.nn.functional.relu(x_88, inplace=True) + x_88 = None + x_90 = torch.conv2d( + x_89, + l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_89 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None + x_91 = torch.nn.functional.batch_norm( + x_90, + 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_90 = ( + 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_92 = torch.nn.functional.relu(x_91, inplace=True) + x_91 = None + x_93 = torch.conv2d( + x_92, + l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_92 = l_self_modules_layer3_modules_1_modules_conv3_parameters_weight_ = None + x_94 = torch.nn.functional.batch_norm( + x_93, + 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_93 = ( + 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 + x_94 += x_86 + x_95 = x_94 + x_94 = x_86 = 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_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_98 = torch.nn.functional.batch_norm( + x_97, + 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_97 = ( + 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_99 = torch.nn.functional.relu(x_98, inplace=True) + x_98 = None + x_100 = torch.conv2d( + x_99, + l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_99 = l_self_modules_layer3_modules_2_modules_conv2_parameters_weight_ = None + x_101 = torch.nn.functional.batch_norm( + x_100, + 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_100 = ( + 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_102 = torch.nn.functional.relu(x_101, inplace=True) + x_101 = None + x_103 = torch.conv2d( + x_102, + l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_102 = l_self_modules_layer3_modules_2_modules_conv3_parameters_weight_ = None + x_104 = torch.nn.functional.batch_norm( + x_103, + 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_103 = ( + 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 + x_104 += x_96 + x_105 = x_104 + x_104 = x_96 = None + x_106 = torch.nn.functional.relu(x_105, inplace=True) + x_105 = None + x_107 = torch.conv2d( + x_106, + 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_108 = torch.nn.functional.batch_norm( + x_107, + 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_107 = ( + 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_109 = torch.nn.functional.relu(x_108, inplace=True) + x_108 = None + x_110 = torch.conv2d( + x_109, + l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_109 = l_self_modules_layer3_modules_3_modules_conv2_parameters_weight_ = None + x_111 = torch.nn.functional.batch_norm( + x_110, + 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_110 = ( + 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_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_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_112 = l_self_modules_layer3_modules_3_modules_conv3_parameters_weight_ = None + x_114 = torch.nn.functional.batch_norm( + x_113, + 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_113 = ( + 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 + x_114 += x_106 + x_115 = x_114 + x_114 = x_106 = 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_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_118 = torch.nn.functional.batch_norm( + x_117, + 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_117 = ( + 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_119 = torch.nn.functional.relu(x_118, inplace=True) + x_118 = None + x_120 = torch.conv2d( + x_119, + l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_119 = l_self_modules_layer3_modules_4_modules_conv2_parameters_weight_ = None + x_121 = torch.nn.functional.batch_norm( + x_120, + 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_120 = ( + 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_122 = torch.nn.functional.relu(x_121, inplace=True) + x_121 = None + x_123 = torch.conv2d( + x_122, + l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_122 = l_self_modules_layer3_modules_4_modules_conv3_parameters_weight_ = None + x_124 = torch.nn.functional.batch_norm( + x_123, + 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_123 = ( + 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 + x_124 += x_116 + x_125 = x_124 + x_124 = x_116 = 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_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_128 = torch.nn.functional.batch_norm( + x_127, + 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_127 = ( + 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_129 = torch.nn.functional.relu(x_128, inplace=True) + x_128 = None + x_130 = torch.conv2d( + x_129, + l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_129 = l_self_modules_layer3_modules_5_modules_conv2_parameters_weight_ = None + x_131 = torch.nn.functional.batch_norm( + x_130, + 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_130 = ( + 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_132 = torch.nn.functional.relu(x_131, inplace=True) + x_131 = None + x_133 = torch.conv2d( + x_132, + l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_132 = l_self_modules_layer3_modules_5_modules_conv3_parameters_weight_ = None + x_134 = torch.nn.functional.batch_norm( + x_133, + 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_133 = ( + 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 + x_134 += x_126 + x_135 = x_134 + x_134 = x_126 = None + x_136 = torch.nn.functional.relu(x_135, inplace=True) + x_135 = None + x_137 = torch.conv2d( + x_136, + 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_138 = torch.nn.functional.batch_norm( + x_137, + 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_137 = ( + 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_139 = torch.nn.functional.relu(x_138, inplace=True) + x_138 = None + x_140 = torch.conv2d( + x_139, + l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_139 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None + x_141 = torch.nn.functional.batch_norm( + x_140, + 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_140 = ( + 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_142 = torch.nn.functional.relu(x_141, inplace=True) + x_141 = None + x_143 = torch._C._nn.pad(x_142, [1, 1, 1, 1], "reflect", None) + x_142 = None + x_144 = torch.conv2d( + x_143, + l_self_modules_layer4_modules_0_modules_aa_buffers_filt_, + stride=2, + groups=512, + ) + x_143 = l_self_modules_layer4_modules_0_modules_aa_buffers_filt_ = None + x_145 = torch.conv2d( + x_144, + l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_144 = l_self_modules_layer4_modules_0_modules_conv3_parameters_weight_ = None + x_146 = torch.nn.functional.batch_norm( + x_145, + 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_145 = ( + 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 + input_18 = torch._C._nn.avg_pool2d(x_136, 2, 2, 0, True, False, None) + x_136 = None + input_19 = torch.conv2d( + input_18, + l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + input_18 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = (None) + input_20 = torch.nn.functional.batch_norm( + input_19, + 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_19 = 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_146 += input_20 + x_147 = x_146 + x_146 = input_20 = 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_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_150 = torch.nn.functional.batch_norm( + x_149, + 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_149 = ( + 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_151 = torch.nn.functional.relu(x_150, inplace=True) + x_150 = None + x_152 = torch.conv2d( + x_151, + l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_151 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None + x_153 = torch.nn.functional.batch_norm( + x_152, + 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_152 = ( + 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_154 = torch.nn.functional.relu(x_153, inplace=True) + x_153 = None + x_155 = torch.conv2d( + x_154, + l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_154 = l_self_modules_layer4_modules_1_modules_conv3_parameters_weight_ = None + x_156 = torch.nn.functional.batch_norm( + x_155, + 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_155 = ( + 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 + x_156 += x_148 + x_157 = x_156 + x_156 = x_148 = None + x_158 = torch.nn.functional.relu(x_157, inplace=True) + x_157 = None + x_159 = torch.conv2d( + x_158, + 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_160 = torch.nn.functional.batch_norm( + x_159, + 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_159 = ( + 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_161 = torch.nn.functional.relu(x_160, inplace=True) + x_160 = None + x_162 = torch.conv2d( + x_161, + l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_161 = l_self_modules_layer4_modules_2_modules_conv2_parameters_weight_ = None + x_163 = torch.nn.functional.batch_norm( + x_162, + 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_162 = ( + 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_164 = torch.nn.functional.relu(x_163, inplace=True) + x_163 = None + x_165 = torch.conv2d( + x_164, + l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_164 = l_self_modules_layer4_modules_2_modules_conv3_parameters_weight_ = None + x_166 = torch.nn.functional.batch_norm( + x_165, + 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_165 = ( + 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 + x_166 += x_158 + x_167 = x_166 + x_166 = x_158 = None + x_168 = torch.nn.functional.relu(x_167, inplace=True) + x_167 = None + x_169 = torch.nn.functional.adaptive_avg_pool2d(x_168, 1) + x_168 = None + x_170 = x_169.flatten(1, -1) + x_169 = None + x_171 = torch._C._nn.linear( + x_170, + l_self_modules_fc_parameters_weight_, + l_self_modules_fc_parameters_bias_, + ) + x_170 = ( + l_self_modules_fc_parameters_weight_ + ) = l_self_modules_fc_parameters_bias_ = None + return (x_171,) diff --git a/samples/timm/resnetblur50d/weight_meta.py b/samples/timm/resnetblur50d/weight_meta.py new file mode 100644 index 000000000..466e70ca6 --- /dev/null +++ b/samples/timm/resnetblur50d/weight_meta.py @@ -0,0 +1,2836 @@ +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 = 0.082 + 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 = 0.230 + 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 = -0.000 + 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 = 0.000 + 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_maxpool_modules_1_buffers_filt_: + name = "L_self_modules_maxpool_modules_1_buffers_filt_" + shape = [64, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.111 + std = 0.057 + 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 = 0.002 + std = 0.177 + 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_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 = 0.001 + 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_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 = 0.177 + 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 = -0.000 + 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_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_aa_buffers_filt_: + name = "L_self_modules_layer2_modules_0_modules_aa_buffers_filt_" + shape = [128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.111 + std = 0.057 + 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_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 = 0.000 + 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 = 0.063 + 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_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_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 = 0.063 + 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_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_aa_buffers_filt_: + name = "L_self_modules_layer3_modules_0_modules_aa_buffers_filt_" + shape = [256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.111 + std = 0.057 + 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_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_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 = 0.089 + 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_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_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_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 = 0.089 + 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_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_aa_buffers_filt_: + name = "L_self_modules_layer4_modules_0_modules_aa_buffers_filt_" + shape = [512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.111 + std = 0.057 + 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_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_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_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