From a95eb817b61d5928cbdf1014abd220a1bc80734f Mon Sep 17 00:00:00 2001 From: liumengyuan Date: Mon, 4 Aug 2025 23:58:09 +0800 Subject: [PATCH] ADD resnetblur50d Coomputation graph --- samples/timm/resnetblur50d/graph_hash.txt | 1 + samples/timm/resnetblur50d/graph_net.json | 5 + samples/timm/resnetblur50d/input_meta.py | 0 .../resnetblur50d/input_tensor_constraints.py | 0 samples/timm/resnetblur50d/model.py | 483 ++++ samples/timm/resnetblur50d/weight_meta.py | 2546 +++++++++++++++++ 6 files changed, 3035 insertions(+) create mode 100644 samples/timm/resnetblur50d/graph_hash.txt create mode 100644 samples/timm/resnetblur50d/graph_net.json create mode 100644 samples/timm/resnetblur50d/input_meta.py create mode 100644 samples/timm/resnetblur50d/input_tensor_constraints.py create mode 100644 samples/timm/resnetblur50d/model.py create mode 100644 samples/timm/resnetblur50d/weight_meta.py 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..2ee04c01c --- /dev/null +++ b/samples/timm/resnetblur50d/model.py @@ -0,0 +1,483 @@ +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,) + \ No newline at end of file diff --git a/samples/timm/resnetblur50d/weight_meta.py b/samples/timm/resnetblur50d/weight_meta.py new file mode 100644 index 000000000..f50fd40f5 --- /dev/null +++ b/samples/timm/resnetblur50d/weight_meta.py @@ -0,0 +1,2546 @@ +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 = 0.002 + std = 0.084 + data = None + +class Program_weight_tensor_meta_s1: + name = "s1" + shape = [] + dtype = "torch.int64" + device = "cpu" + mean = None + std = None + data = [4] + +class Program_weight_tensor_meta_L_x_: + name = "L_x_" + shape = [1, 3, 224, 224] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.232 + std = 1.286 + data = None + +class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_conv1_modules_1_buffers_running_mean_" + shape = [32] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_conv1_modules_1_buffers_running_var_" + shape = [32] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_conv1_modules_1_parameters_weight_" + shape = [32] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_conv1_modules_1_parameters_bias_" + shape = [32] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_conv1_modules_3_parameters_weight_: + name = "L_self_modules_conv1_modules_3_parameters_weight_" + shape = [32, 32, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + 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 = -0.001 + std = 0.174 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_bn1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_bn1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.059 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_bn2_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_bn2_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv3_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_bn3_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_bn3_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_downsample_modules_1_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_downsample_modules_2_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_" + shape = [64, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.178 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer1_modules_1_modules_bn1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_: + name = "L_self_modules_layer1_modules_1_modules_bn1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.059 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer1_modules_1_modules_bn2_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_: + name = "L_self_modules_layer1_modules_1_modules_bn2_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv3_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer1_modules_1_modules_bn3_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_: + name = "L_self_modules_layer1_modules_1_modules_bn3_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_: + name = "L_self_modules_layer1_modules_2_modules_conv1_parameters_weight_" + shape = [64, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.177 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer1_modules_2_modules_bn1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_: + name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_: + name = "L_self_modules_layer1_modules_2_modules_bn1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_: + name = "L_self_modules_layer1_modules_2_modules_conv2_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.059 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer1_modules_2_modules_bn2_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_: + name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_: + name = "L_self_modules_layer1_modules_2_modules_bn2_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_: + name = "L_self_modules_layer1_modules_2_modules_conv3_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.088 + 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 = 0.062 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer2_modules_1_modules_bn3_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_: + name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_: + name = "L_self_modules_layer2_modules_1_modules_bn3_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_: + name = "L_self_modules_layer2_modules_2_modules_conv1_parameters_weight_" + shape = [128, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.125 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer2_modules_2_modules_bn1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_: + name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_: + name = "L_self_modules_layer2_modules_2_modules_bn1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_: + name = "L_self_modules_layer2_modules_2_modules_conv2_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.042 + 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 = -0.000 + std = 0.125 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer2_modules_3_modules_bn1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_: + name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_: + name = "L_self_modules_layer2_modules_3_modules_bn1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_: + name = "L_self_modules_layer2_modules_3_modules_conv2_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.042 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer2_modules_3_modules_bn2_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_: + name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_: + name = "L_self_modules_layer2_modules_3_modules_bn2_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_: + name = "L_self_modules_layer2_modules_3_modules_conv3_parameters_weight_" + shape = [512, 128, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.063 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer2_modules_3_modules_bn3_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_: + name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_: + name = "L_self_modules_layer2_modules_3_modules_bn3_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_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 = 0.089 + 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 = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer3_modules_2_modules_bn1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_: + name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_: + name = "L_self_modules_layer3_modules_2_modules_bn1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_: + name = "L_self_modules_layer3_modules_2_modules_conv2_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.029 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer3_modules_2_modules_bn2_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_: + name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_: + name = "L_self_modules_layer3_modules_2_modules_bn2_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_: + name = "L_self_modules_layer3_modules_2_modules_conv3_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.044 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer3_modules_2_modules_bn3_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_: + name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_: + name = "L_self_modules_layer3_modules_2_modules_bn3_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_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 = 0.030 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer3_modules_4_modules_bn2_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_: + name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_: + name = "L_self_modules_layer3_modules_4_modules_bn2_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_: + name = "L_self_modules_layer3_modules_4_modules_conv3_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.044 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer3_modules_4_modules_bn3_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_: + name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_: + name = "L_self_modules_layer3_modules_4_modules_bn3_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_conv1_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer3_modules_5_modules_bn1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_: + name = "L_self_modules_layer3_modules_5_modules_bn1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_conv2_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.029 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer3_modules_5_modules_bn2_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_: + name = "L_self_modules_layer3_modules_5_modules_bn2_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_conv3_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.044 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_: + name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_: + name = "L_self_modules_layer3_modules_5_modules_bn3_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_: + name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_: + name = "L_self_modules_layer3_modules_5_modules_bn3_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_" + shape = [512, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.063 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_: + name = "L_self_modules_layer4_modules_0_modules_bn1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_: + name = "L_self_modules_layer4_modules_0_modules_bn1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_" + shape = [512, 512, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.021 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_: + name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_: + name = "L_self_modules_layer4_modules_0_modules_bn2_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_: + name = "L_self_modules_layer4_modules_0_modules_bn2_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.000 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_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