From 876ea7bb3d3d49a08e9300a3f157f4ce1b35da9f Mon Sep 17 00:00:00 2001 From: darkerkiller <2771634569@qq.com> Date: Sat, 7 Mar 2026 17:39:55 +0000 Subject: [PATCH 1/3] [New Sample] Add resnet18 computational graph and extraction script --- graph_net/test/extract_resnet18.py | 35 + samples/torch_samples/resnet18/graph_hash.txt | 1 + samples/torch_samples/resnet18/graph_net.json | 7 + samples/torch_samples/resnet18/input_meta.py | 0 .../resnet18/input_tensor_constraints.py | 0 samples/torch_samples/resnet18/model.py | 261 ++++ samples/torch_samples/resnet18/weight_meta.py | 1295 +++++++++++++++++ 7 files changed, 1599 insertions(+) create mode 100644 graph_net/test/extract_resnet18.py create mode 100644 samples/torch_samples/resnet18/graph_hash.txt create mode 100644 samples/torch_samples/resnet18/graph_net.json create mode 100644 samples/torch_samples/resnet18/input_meta.py create mode 100644 samples/torch_samples/resnet18/input_tensor_constraints.py create mode 100644 samples/torch_samples/resnet18/model.py create mode 100644 samples/torch_samples/resnet18/weight_meta.py diff --git a/graph_net/test/extract_resnet18.py b/graph_net/test/extract_resnet18.py new file mode 100644 index 000000000..35e812d7d --- /dev/null +++ b/graph_net/test/extract_resnet18.py @@ -0,0 +1,35 @@ +import torch +from torchvision.models import get_model, get_model_weights +from graph_net.torch.extractor import extract + +def main(): + name = 'resnet18' + device_str = 'cpu' # 推荐先用 CPU 测试 + device = torch.device(device_str) + print(f"开始测试模型: {name} on {device_str}") + + # 加载模型与权重 + try: + w = get_model_weights(name) + model = get_model(name, weights=w.DEFAULT) + except Exception as e: + print(f"[FAIL] 实例化模型失败 - {e}") + return + + # 构造标准 CV 模型的输入张量 (1, 3, 224, 224) + input_data = torch.rand(1, 3, 224, 224, device=device) + + # 使用 GraphNet 官方 API 包装并抽取计算图 + model = model.to(device).eval() + wrapped = extract(name=name)(model).eval() + + try: + with torch.no_grad(): + # 执行前向传播，计算图会自动保存到 GRAPH_NET_EXTRACT_WORKSPACE 目录 + wrapped(input_data) + print(f"[OK] {name} 计算图抽取成功！") + except Exception as e: + print(f"[FAIL] {name} 抽取发生错误 - {e}") + +if __name__ == "__main__": + main() \ No newline at end of file diff --git a/samples/torch_samples/resnet18/graph_hash.txt b/samples/torch_samples/resnet18/graph_hash.txt new file mode 100644 index 000000000..1a18ceb0b --- /dev/null +++ b/samples/torch_samples/resnet18/graph_hash.txt @@ -0,0 +1 @@ +12a36b53c4742d20089985ac096387bd94a4bf0df30a690a185b0014cf2cfde3 \ No newline at end of file diff --git a/samples/torch_samples/resnet18/graph_net.json b/samples/torch_samples/resnet18/graph_net.json new file mode 100644 index 000000000..28de89783 --- /dev/null +++ b/samples/torch_samples/resnet18/graph_net.json @@ -0,0 +1,7 @@ +{ + "framework": "torch", + "num_devices_required": 1, + "num_nodes_required": 1, + "dynamic": true, + "model_name": "resnet18" +} \ No newline at end of file diff --git a/samples/torch_samples/resnet18/input_meta.py b/samples/torch_samples/resnet18/input_meta.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/torch_samples/resnet18/input_tensor_constraints.py b/samples/torch_samples/resnet18/input_tensor_constraints.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/torch_samples/resnet18/model.py b/samples/torch_samples/resnet18/model.py new file mode 100644 index 000000000..8aaae960e --- /dev/null +++ b/samples/torch_samples/resnet18/model.py @@ -0,0 +1,261 @@ +import torch + +class GraphModule(torch.nn.Module): + + + + def forward(self, L_self_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, s53 : torch.SymInt, L_x_ : torch.Tensor, L_self_modules_bn1_momentum : torch.Tensor, L_self_modules_bn1_buffers_running_mean_ : torch.Tensor, L_self_modules_bn1_buffers_running_var_ : torch.Tensor, L_self_modules_bn1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_bn1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_fc_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_bias_ : torch.nn.parameter.Parameter): + l_self_modules_conv1_parameters_weight_ = L_self_modules_conv1_parameters_weight_ + l_x_ = L_x_ + l_self_modules_bn1_momentum = L_self_modules_bn1_momentum + 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_bn1_eps = L_self_modules_bn1_eps + 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_momentum = L_self_modules_layer1_modules_0_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer1_modules_0_modules_bn1_eps + 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_momentum = L_self_modules_layer1_modules_0_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer1_modules_0_modules_bn2_eps + 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_momentum = L_self_modules_layer1_modules_1_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer1_modules_1_modules_bn1_eps + 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_momentum = L_self_modules_layer1_modules_1_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer1_modules_1_modules_bn2_eps + 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_momentum = L_self_modules_layer2_modules_0_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer2_modules_0_modules_bn1_eps + 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_momentum = L_self_modules_layer2_modules_0_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer2_modules_0_modules_bn2_eps + l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ + l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum + l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ + l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ + 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_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ + l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps + 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_momentum = L_self_modules_layer2_modules_1_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer2_modules_1_modules_bn1_eps + 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_momentum = L_self_modules_layer2_modules_1_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer2_modules_1_modules_bn2_eps + 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_momentum = L_self_modules_layer3_modules_0_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer3_modules_0_modules_bn1_eps + 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_momentum = L_self_modules_layer3_modules_0_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer3_modules_0_modules_bn2_eps + l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ + l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum + l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ + l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ + 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_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ + l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps + 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_momentum = L_self_modules_layer3_modules_1_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer3_modules_1_modules_bn1_eps + 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_momentum = L_self_modules_layer3_modules_1_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer3_modules_1_modules_bn2_eps + 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_momentum = L_self_modules_layer4_modules_0_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer4_modules_0_modules_bn1_eps + 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_momentum = L_self_modules_layer4_modules_0_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer4_modules_0_modules_bn2_eps + l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ + l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum + l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ + l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ + 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_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ + l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps + 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_momentum = L_self_modules_layer4_modules_1_modules_bn1_momentum + 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_bn1_eps = L_self_modules_layer4_modules_1_modules_bn1_eps + 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_momentum = L_self_modules_layer4_modules_1_modules_bn2_momentum + 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_bn2_eps = L_self_modules_layer4_modules_1_modules_bn2_eps + l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ + l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ + x = torch.conv2d(l_x_, l_self_modules_conv1_parameters_weight_, None, (2, 2), (3, 3), (1, 1), 1); l_x_ = l_self_modules_conv1_parameters_weight_ = None + item = l_self_modules_bn1_momentum.item(); l_self_modules_bn1_momentum = None + item_1 = l_self_modules_bn1_eps.item(); l_self_modules_bn1_eps = None + x_1 = torch.nn.functional.batch_norm(x, l_self_modules_bn1_buffers_running_mean_, l_self_modules_bn1_buffers_running_var_, l_self_modules_bn1_parameters_weight_, l_self_modules_bn1_parameters_bias_, False, item, item_1); x = l_self_modules_bn1_buffers_running_mean_ = l_self_modules_bn1_buffers_running_var_ = l_self_modules_bn1_parameters_weight_ = l_self_modules_bn1_parameters_bias_ = item = item_1 = None + x_2 = torch.nn.functional.relu(x_1, inplace = True); x_1 = None + x_3 = torch.nn.functional.max_pool2d(x_2, 3, 2, 1, 1, ceil_mode = False, return_indices = False); x_2 = None + out = torch.conv2d(x_3, l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None + item_2 = l_self_modules_layer1_modules_0_modules_bn1_momentum.item(); l_self_modules_layer1_modules_0_modules_bn1_momentum = None + item_3 = l_self_modules_layer1_modules_0_modules_bn1_eps.item(); l_self_modules_layer1_modules_0_modules_bn1_eps = None + out_1 = torch.nn.functional.batch_norm(out, 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, item_2, item_3); out = 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_ = item_2 = item_3 = None + out_2 = torch.nn.functional.relu(out_1, inplace = True); out_1 = None + out_3 = torch.conv2d(out_2, l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_2 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None + item_4 = l_self_modules_layer1_modules_0_modules_bn2_momentum.item(); l_self_modules_layer1_modules_0_modules_bn2_momentum = None + item_5 = l_self_modules_layer1_modules_0_modules_bn2_eps.item(); l_self_modules_layer1_modules_0_modules_bn2_eps = None + out_4 = torch.nn.functional.batch_norm(out_3, 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, item_4, item_5); out_3 = 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_ = item_4 = item_5 = None + out_4 += x_3; out_5 = out_4; out_4 = x_3 = None + out_6 = torch.nn.functional.relu(out_5, inplace = True); out_5 = None + out_7 = torch.conv2d(out_6, l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None + item_6 = l_self_modules_layer1_modules_1_modules_bn1_momentum.item(); l_self_modules_layer1_modules_1_modules_bn1_momentum = None + item_7 = l_self_modules_layer1_modules_1_modules_bn1_eps.item(); l_self_modules_layer1_modules_1_modules_bn1_eps = None + out_8 = torch.nn.functional.batch_norm(out_7, 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, item_6, item_7); out_7 = 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_ = item_6 = item_7 = None + out_9 = torch.nn.functional.relu(out_8, inplace = True); out_8 = None + out_10 = torch.conv2d(out_9, l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_9 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None + item_8 = l_self_modules_layer1_modules_1_modules_bn2_momentum.item(); l_self_modules_layer1_modules_1_modules_bn2_momentum = None + item_9 = l_self_modules_layer1_modules_1_modules_bn2_eps.item(); l_self_modules_layer1_modules_1_modules_bn2_eps = None + out_11 = torch.nn.functional.batch_norm(out_10, 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, item_8, item_9); out_10 = 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_ = item_8 = item_9 = None + out_11 += out_6; out_12 = out_11; out_11 = out_6 = None + out_13 = torch.nn.functional.relu(out_12, inplace = True); out_12 = None + out_14 = torch.conv2d(out_13, l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None + item_10 = l_self_modules_layer2_modules_0_modules_bn1_momentum.item(); l_self_modules_layer2_modules_0_modules_bn1_momentum = None + item_11 = l_self_modules_layer2_modules_0_modules_bn1_eps.item(); l_self_modules_layer2_modules_0_modules_bn1_eps = None + out_15 = torch.nn.functional.batch_norm(out_14, 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, item_10, item_11); out_14 = 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_ = item_10 = item_11 = None + out_16 = torch.nn.functional.relu(out_15, inplace = True); out_15 = None + out_17 = torch.conv2d(out_16, l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_16 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None + item_12 = l_self_modules_layer2_modules_0_modules_bn2_momentum.item(); l_self_modules_layer2_modules_0_modules_bn2_momentum = None + item_13 = l_self_modules_layer2_modules_0_modules_bn2_eps.item(); l_self_modules_layer2_modules_0_modules_bn2_eps = None + out_18 = torch.nn.functional.batch_norm(out_17, 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, item_12, item_13); out_17 = 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_ = item_12 = item_13 = None + input_1 = torch.conv2d(out_13, l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_13 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = None + item_14 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum = None + item_15 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps = None + input_2 = torch.nn.functional.batch_norm(input_1, l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_14, item_15); input_1 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = item_14 = item_15 = None + out_18 += input_2; out_19 = out_18; out_18 = input_2 = None + out_20 = torch.nn.functional.relu(out_19, inplace = True); out_19 = None + out_21 = torch.conv2d(out_20, l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None + item_16 = l_self_modules_layer2_modules_1_modules_bn1_momentum.item(); l_self_modules_layer2_modules_1_modules_bn1_momentum = None + item_17 = l_self_modules_layer2_modules_1_modules_bn1_eps.item(); l_self_modules_layer2_modules_1_modules_bn1_eps = None + out_22 = torch.nn.functional.batch_norm(out_21, 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, item_16, item_17); out_21 = 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_ = item_16 = item_17 = None + out_23 = torch.nn.functional.relu(out_22, inplace = True); out_22 = None + out_24 = torch.conv2d(out_23, l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_23 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None + item_18 = l_self_modules_layer2_modules_1_modules_bn2_momentum.item(); l_self_modules_layer2_modules_1_modules_bn2_momentum = None + item_19 = l_self_modules_layer2_modules_1_modules_bn2_eps.item(); l_self_modules_layer2_modules_1_modules_bn2_eps = None + out_25 = torch.nn.functional.batch_norm(out_24, 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, item_18, item_19); out_24 = 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_ = item_18 = item_19 = None + out_25 += out_20; out_26 = out_25; out_25 = out_20 = None + out_27 = torch.nn.functional.relu(out_26, inplace = True); out_26 = None + out_28 = torch.conv2d(out_27, l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None + item_20 = l_self_modules_layer3_modules_0_modules_bn1_momentum.item(); l_self_modules_layer3_modules_0_modules_bn1_momentum = None + item_21 = l_self_modules_layer3_modules_0_modules_bn1_eps.item(); l_self_modules_layer3_modules_0_modules_bn1_eps = None + out_29 = torch.nn.functional.batch_norm(out_28, 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, item_20, item_21); out_28 = 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_ = item_20 = item_21 = None + out_30 = torch.nn.functional.relu(out_29, inplace = True); out_29 = None + out_31 = torch.conv2d(out_30, l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_30 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None + item_22 = l_self_modules_layer3_modules_0_modules_bn2_momentum.item(); l_self_modules_layer3_modules_0_modules_bn2_momentum = None + item_23 = l_self_modules_layer3_modules_0_modules_bn2_eps.item(); l_self_modules_layer3_modules_0_modules_bn2_eps = None + out_32 = torch.nn.functional.batch_norm(out_31, 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, item_22, item_23); out_31 = 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_ = item_22 = item_23 = None + input_3 = torch.conv2d(out_27, l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_27 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = None + item_24 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum = None + item_25 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps = None + input_4 = torch.nn.functional.batch_norm(input_3, l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_24, item_25); input_3 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = item_24 = item_25 = None + out_32 += input_4; out_33 = out_32; out_32 = input_4 = None + out_34 = torch.nn.functional.relu(out_33, inplace = True); out_33 = None + out_35 = torch.conv2d(out_34, l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None + item_26 = l_self_modules_layer3_modules_1_modules_bn1_momentum.item(); l_self_modules_layer3_modules_1_modules_bn1_momentum = None + item_27 = l_self_modules_layer3_modules_1_modules_bn1_eps.item(); l_self_modules_layer3_modules_1_modules_bn1_eps = None + out_36 = torch.nn.functional.batch_norm(out_35, 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, item_26, item_27); out_35 = 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_ = item_26 = item_27 = None + out_37 = torch.nn.functional.relu(out_36, inplace = True); out_36 = None + out_38 = torch.conv2d(out_37, l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_37 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None + item_28 = l_self_modules_layer3_modules_1_modules_bn2_momentum.item(); l_self_modules_layer3_modules_1_modules_bn2_momentum = None + item_29 = l_self_modules_layer3_modules_1_modules_bn2_eps.item(); l_self_modules_layer3_modules_1_modules_bn2_eps = None + out_39 = torch.nn.functional.batch_norm(out_38, 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, item_28, item_29); out_38 = 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_ = item_28 = item_29 = None + out_39 += out_34; out_40 = out_39; out_39 = out_34 = None + out_41 = torch.nn.functional.relu(out_40, inplace = True); out_40 = None + out_42 = torch.conv2d(out_41, l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None + item_30 = l_self_modules_layer4_modules_0_modules_bn1_momentum.item(); l_self_modules_layer4_modules_0_modules_bn1_momentum = None + item_31 = l_self_modules_layer4_modules_0_modules_bn1_eps.item(); l_self_modules_layer4_modules_0_modules_bn1_eps = None + out_43 = torch.nn.functional.batch_norm(out_42, 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, item_30, item_31); out_42 = 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_ = item_30 = item_31 = None + out_44 = torch.nn.functional.relu(out_43, inplace = True); out_43 = None + out_45 = torch.conv2d(out_44, l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_44 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None + item_32 = l_self_modules_layer4_modules_0_modules_bn2_momentum.item(); l_self_modules_layer4_modules_0_modules_bn2_momentum = None + item_33 = l_self_modules_layer4_modules_0_modules_bn2_eps.item(); l_self_modules_layer4_modules_0_modules_bn2_eps = None + out_46 = torch.nn.functional.batch_norm(out_45, 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, item_32, item_33); out_45 = 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_ = item_32 = item_33 = None + input_5 = torch.conv2d(out_41, l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_41 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = None + item_34 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum = None + item_35 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps = None + input_6 = torch.nn.functional.batch_norm(input_5, l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_34, item_35); input_5 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = item_34 = item_35 = None + out_46 += input_6; out_47 = out_46; out_46 = input_6 = None + out_48 = torch.nn.functional.relu(out_47, inplace = True); out_47 = None + out_49 = torch.conv2d(out_48, l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None + item_36 = l_self_modules_layer4_modules_1_modules_bn1_momentum.item(); l_self_modules_layer4_modules_1_modules_bn1_momentum = None + item_37 = l_self_modules_layer4_modules_1_modules_bn1_eps.item(); l_self_modules_layer4_modules_1_modules_bn1_eps = None + out_50 = torch.nn.functional.batch_norm(out_49, 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, item_36, item_37); out_49 = 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_ = item_36 = item_37 = None + out_51 = torch.nn.functional.relu(out_50, inplace = True); out_50 = None + out_52 = torch.conv2d(out_51, l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_51 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None + item_38 = l_self_modules_layer4_modules_1_modules_bn2_momentum.item(); l_self_modules_layer4_modules_1_modules_bn2_momentum = None + item_39 = l_self_modules_layer4_modules_1_modules_bn2_eps.item(); l_self_modules_layer4_modules_1_modules_bn2_eps = None + out_53 = torch.nn.functional.batch_norm(out_52, 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, item_38, item_39); out_52 = 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_ = item_38 = item_39 = None + out_53 += out_48; out_54 = out_53; out_53 = out_48 = None + out_55 = torch.nn.functional.relu(out_54, inplace = True); out_54 = None + x_4 = torch.nn.functional.adaptive_avg_pool2d(out_55, (1, 1)); out_55 = None + x_5 = torch.flatten(x_4, 1); x_4 = None + x_6 = torch.nn.functional.linear(x_5, l_self_modules_fc_parameters_weight_, l_self_modules_fc_parameters_bias_); x_5 = l_self_modules_fc_parameters_weight_ = l_self_modules_fc_parameters_bias_ = None + return (x_6,) + \ No newline at end of file diff --git a/samples/torch_samples/resnet18/weight_meta.py b/samples/torch_samples/resnet18/weight_meta.py new file mode 100644 index 000000000..a60920030 --- /dev/null +++ b/samples/torch_samples/resnet18/weight_meta.py @@ -0,0 +1,1295 @@ +class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: + name = "L_self_modules_conv1_parameters_weight_" + shape = [64, 3, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.130 + data = None + +class Program_weight_tensor_meta_s53: + name = "s53" + 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 = "cpu" + mean = 0.499 + std = 0.288 + data = None + +class Program_weight_tensor_meta_L_self_modules_bn1_momentum: + name = "L_self_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = 0.001 + std = 0.049 + 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 = "cpu" + mean = 3.020 + std = 2.947 + 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 = "cpu" + mean = 0.258 + std = 0.123 + 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 = "cpu" + mean = 0.181 + std = 0.299 + data = None + +class Program_weight_tensor_meta_L_self_modules_bn1_eps: + name = "L_self_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.003 + std = 0.053 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_momentum: + name = "L_self_modules_layer1_modules_0_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.905 + std = 0.894 + 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 = "cpu" + mean = 0.532 + std = 0.388 + 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 = "cpu" + mean = 0.340 + std = 0.125 + 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 = "cpu" + mean = -0.034 + std = 0.210 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_eps: + name = "L_self_modules_layer1_modules_0_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.045 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_momentum: + name = "L_self_modules_layer1_modules_0_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.065 + std = 0.246 + 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 = "cpu" + mean = 0.094 + std = 0.062 + 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 = "cpu" + mean = 0.333 + std = 0.122 + 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 = "cpu" + mean = 0.003 + std = 0.201 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_eps: + name = "L_self_modules_layer1_modules_0_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 64, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.051 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_momentum: + name = "L_self_modules_layer1_modules_1_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.617 + std = 0.859 + 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 = "cpu" + mean = 0.436 + std = 0.177 + 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 = "cpu" + mean = 0.329 + std = 0.071 + 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 = "cpu" + mean = -0.084 + std = 0.166 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_eps: + name = "L_self_modules_layer1_modules_1_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.044 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_momentum: + name = "L_self_modules_layer1_modules_1_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.049 + std = 0.213 + 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 = "cpu" + mean = 0.053 + std = 0.021 + 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 = "cpu" + mean = 0.392 + std = 0.160 + 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 = "cpu" + mean = -0.030 + std = 0.154 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_eps: + name = "L_self_modules_layer1_modules_1_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 64, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.001 + std = 0.042 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_momentum: + name = "L_self_modules_layer2_modules_0_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.294 + std = 0.439 + 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 = "cpu" + mean = 0.645 + std = 0.172 + 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 = "cpu" + mean = 0.316 + std = 0.041 + 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 = "cpu" + mean = -0.067 + std = 0.109 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_eps: + name = "L_self_modules_layer2_modules_0_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.034 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_momentum: + name = "L_self_modules_layer2_modules_0_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.199 + std = 0.240 + 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 = "cpu" + mean = 0.075 + std = 0.041 + 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 = "cpu" + mean = 0.328 + std = 0.111 + 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 = "cpu" + mean = -0.004 + std = 0.090 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_eps: + name = "L_self_modules_layer2_modules_0_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [128, 64, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.003 + std = 0.071 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = -0.066 + std = 0.308 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.073 + std = 0.053 + 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 = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.195 + std = 0.102 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = -0.004 + std = 0.090 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps: + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.034 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_momentum: + name = "L_self_modules_layer2_modules_1_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.295 + std = 0.331 + 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 = "cpu" + mean = 0.225 + std = 0.076 + 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 = "cpu" + mean = 0.321 + std = 0.048 + 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 = "cpu" + mean = -0.210 + std = 0.101 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_eps: + name = "L_self_modules_layer2_modules_1_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.030 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_momentum: + name = "L_self_modules_layer2_modules_1_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.060 + std = 0.129 + 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 = "cpu" + mean = 0.033 + std = 0.013 + 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 = "cpu" + mean = 0.283 + std = 0.125 + 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 = "cpu" + mean = -0.151 + std = 0.138 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_eps: + name = "L_self_modules_layer2_modules_1_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.001 + std = 0.029 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_momentum: + name = "L_self_modules_layer3_modules_0_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.325 + std = 0.328 + 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 = "cpu" + mean = 0.253 + std = 0.093 + 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 = "cpu" + mean = 0.312 + std = 0.041 + 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 = "cpu" + mean = -0.115 + std = 0.093 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_eps: + name = "L_self_modules_layer3_modules_0_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.025 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_momentum: + name = "L_self_modules_layer3_modules_0_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.125 + std = 0.155 + 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 = "cpu" + mean = 0.103 + std = 0.042 + 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 = "cpu" + mean = 0.320 + std = 0.076 + 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 = "cpu" + mean = -0.031 + std = 0.089 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_eps: + name = "L_self_modules_layer3_modules_0_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [256, 128, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.033 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = -0.047 + std = 0.085 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = 0.014 + std = 0.007 + 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 = [256] + dtype = "torch.float32" + device = "cpu" + mean = 0.082 + std = 0.040 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = -0.031 + std = 0.089 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps: + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 256, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.022 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_momentum: + name = "L_self_modules_layer3_modules_1_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.390 + std = 0.337 + 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 = "cpu" + mean = 0.149 + std = 0.048 + 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 = "cpu" + mean = 0.278 + std = 0.055 + 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 = "cpu" + mean = -0.237 + std = 0.120 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_eps: + name = "L_self_modules_layer3_modules_1_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.021 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_momentum: + name = "L_self_modules_layer3_modules_1_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.083 + std = 0.100 + 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 = "cpu" + mean = 0.020 + std = 0.010 + 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 = "cpu" + mean = 0.246 + std = 0.121 + 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 = "cpu" + mean = -0.164 + std = 0.149 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_eps: + name = "L_self_modules_layer3_modules_1_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 256, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.020 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_momentum: + name = "L_self_modules_layer4_modules_0_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.409 + std = 0.247 + 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 = "cpu" + mean = 0.129 + std = 0.031 + 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 = "cpu" + mean = 0.264 + std = 0.036 + 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 = "cpu" + mean = -0.226 + std = 0.079 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_eps: + name = "L_self_modules_layer4_modules_0_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.001 + std = 0.017 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_momentum: + name = "L_self_modules_layer4_modules_0_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.143 + std = 0.064 + 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 = "cpu" + mean = 0.022 + std = 0.008 + 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 = "cpu" + mean = 0.424 + std = 0.068 + 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 = "cpu" + mean = -0.198 + std = 0.065 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_eps: + name = "L_self_modules_layer4_modules_0_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [512, 256, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.001 + std = 0.033 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = -0.045 + std = 0.078 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = 0.020 + std = 0.009 + 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 = [512] + dtype = "torch.float32" + device = "cpu" + mean = 0.251 + std = 0.077 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = -0.198 + std = 0.065 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps: + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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, 512, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.018 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_momentum: + name = "L_self_modules_layer4_modules_1_modules_bn1_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.595 + std = 0.138 + 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 = "cpu" + mean = 0.138 + std = 0.024 + 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 = "cpu" + mean = 0.289 + std = 0.050 + 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 = "cpu" + mean = -0.242 + std = 0.106 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_eps: + name = "L_self_modules_layer4_modules_1_modules_bn1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +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 = "cpu" + mean = -0.000 + std = 0.013 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_momentum: + name = "L_self_modules_layer4_modules_1_modules_bn2_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + +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 = "cpu" + mean = -0.031 + std = 0.020 + 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 = "cpu" + mean = 0.013 + std = 0.002 + 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 = "cpu" + mean = 1.854 + std = 0.107 + 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 = "cpu" + mean = 0.274 + std = 0.082 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_eps: + name = "L_self_modules_layer4_modules_1_modules_bn2_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + +class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: + name = "L_self_modules_fc_parameters_weight_" + shape = [1000, 512] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.069 + 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 = "cpu" + mean = -0.000 + std = 0.016 + data = None From 8a97a37a2f65dfc84185eb866ff2761d7c76a860 Mon Sep 17 00:00:00 2001 From: darkerkiller <2771634569@qq.com> Date: Mon, 9 Mar 2026 06:44:04 +0000 Subject: [PATCH 2/3] [New Sample] Add convnext_atto model computational graph from timm --- graph_net/test/extract_convnext_atto.py | 43 + .../timm_samples/convnext_atto/graph_hash.txt | 1 + .../timm_samples/convnext_atto/graph_net.json | 7 + .../timm_samples/convnext_atto/input_meta.py | 0 .../convnext_atto/input_tensor_constraints.py | 0 samples/timm_samples/convnext_atto/model.py | 1475 +++++++++++ .../timm_samples/convnext_atto/weight_meta.py | 2345 +++++++++++++++++ 7 files changed, 3871 insertions(+) create mode 100644 graph_net/test/extract_convnext_atto.py create mode 100644 samples/timm_samples/convnext_atto/graph_hash.txt create mode 100644 samples/timm_samples/convnext_atto/graph_net.json create mode 100644 samples/timm_samples/convnext_atto/input_meta.py create mode 100644 samples/timm_samples/convnext_atto/input_tensor_constraints.py create mode 100644 samples/timm_samples/convnext_atto/model.py create mode 100644 samples/timm_samples/convnext_atto/weight_meta.py diff --git a/graph_net/test/extract_convnext_atto.py b/graph_net/test/extract_convnext_atto.py new file mode 100644 index 000000000..7b137805d --- /dev/null +++ b/graph_net/test/extract_convnext_atto.py @@ -0,0 +1,43 @@ +import os + +import timm +import torch +from graph_net.torch.extractor import extract + +# 强制在运行脚本时注入环境变量，避免终端重置导致的环境丢失 +os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = "/home/aistudio/graphnet_workspace" +os.makedirs(os.environ["GRAPH_NET_EXTRACT_WORKSPACE"], exist_ok=True) + + +def main(): + name = "convnext_atto" + device_str = "cpu" + device = torch.device(device_str) + print(f"开始测试模型: {name} on {device_str}") + + # 1. 实例化 timm 模型 + # 抽取计算图只关心网络结构 (OPs)，无需下载庞大的预训练权重，因此 pretrained=False + try: + model = timm.create_model(name, pretrained=False) + except Exception as e: + print(f"[FAIL] 实例化模型失败 - {e}") + return + + # 2. 构造标准 CV 模型的输入张量 (BatchSize=1, Channels=3, H=224, W=224) + input_data = torch.rand(1, 3, 224, 224, device=device) + + # 3. 包装并抽取计算图 + model = model.to(device).eval() + wrapped = extract(name=name)(model).eval() + + try: + with torch.no_grad(): + # 执行前向传播，GraphNet 装饰器会自动拦截并保存计算图 + wrapped(input_data) + print(f"[OK] {name} 计算图抽取成功！") + except Exception as e: + print(f"[FAIL] {name} 抽取发生错误 - {e}") + + +if __name__ == "__main__": + main() diff --git a/samples/timm_samples/convnext_atto/graph_hash.txt b/samples/timm_samples/convnext_atto/graph_hash.txt new file mode 100644 index 000000000..73ef1fc2b --- /dev/null +++ b/samples/timm_samples/convnext_atto/graph_hash.txt @@ -0,0 +1 @@ +ac967aa1bb3783cd2518ab30ca764396240d096ecbe8e20ce89251057338a463 \ No newline at end of file diff --git a/samples/timm_samples/convnext_atto/graph_net.json b/samples/timm_samples/convnext_atto/graph_net.json new file mode 100644 index 000000000..4742b5e13 --- /dev/null +++ b/samples/timm_samples/convnext_atto/graph_net.json @@ -0,0 +1,7 @@ +{ + "framework": "torch", + "num_devices_required": 1, + "num_nodes_required": 1, + "dynamic": true, + "model_name": "convnext_atto" +} \ No newline at end of file diff --git a/samples/timm_samples/convnext_atto/input_meta.py b/samples/timm_samples/convnext_atto/input_meta.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/timm_samples/convnext_atto/input_tensor_constraints.py b/samples/timm_samples/convnext_atto/input_tensor_constraints.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/timm_samples/convnext_atto/model.py b/samples/timm_samples/convnext_atto/model.py new file mode 100644 index 000000000..326f3e734 --- /dev/null +++ b/samples/timm_samples/convnext_atto/model.py @@ -0,0 +1,1475 @@ +import torch + + +class GraphModule(torch.nn.Module): + def forward( + self, + L_self_modules_stem_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_0_parameters_bias_: torch.nn.parameter.Parameter, + s53: torch.SymInt, + L_x_: torch.Tensor, + L_self_modules_stem_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_1_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_downsample_modules_0_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_downsample_modules_0_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_downsample_modules_0_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, + L_self_modules_head_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_head_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_head_modules_norm_eps: torch.Tensor, + L_self_modules_head_modules_drop_p: torch.Tensor, + L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, + ): + l_self_modules_stem_modules_0_parameters_weight_ = ( + L_self_modules_stem_modules_0_parameters_weight_ + ) + l_self_modules_stem_modules_0_parameters_bias_ = ( + L_self_modules_stem_modules_0_parameters_bias_ + ) + l_x_ = L_x_ + l_self_modules_stem_modules_1_parameters_weight_ = ( + L_self_modules_stem_modules_1_parameters_weight_ + ) + l_self_modules_stem_modules_1_parameters_bias_ = ( + L_self_modules_stem_modules_1_parameters_bias_ + ) + l_self_modules_stem_modules_1_eps = L_self_modules_stem_modules_1_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps = ( + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( + L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps = ( + L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( + L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ + ) + l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ + l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ + l_self_modules_stages_modules_1_modules_downsample_modules_0_eps = ( + L_self_modules_stages_modules_1_modules_downsample_modules_0_eps + ) + l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ + l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps = ( + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( + L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps = ( + L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( + L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ + l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ + l_self_modules_stages_modules_2_modules_downsample_modules_0_eps = ( + L_self_modules_stages_modules_2_modules_downsample_modules_0_eps + ) + l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ + l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps = ( + L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( + L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ + ) + l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ + l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ + l_self_modules_stages_modules_3_modules_downsample_modules_0_eps = ( + L_self_modules_stages_modules_3_modules_downsample_modules_0_eps + ) + l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ + l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps = ( + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( + L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps = ( + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p + l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( + L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ + ) + l_self_modules_head_modules_norm_parameters_weight_ = ( + L_self_modules_head_modules_norm_parameters_weight_ + ) + l_self_modules_head_modules_norm_parameters_bias_ = ( + L_self_modules_head_modules_norm_parameters_bias_ + ) + l_self_modules_head_modules_norm_eps = L_self_modules_head_modules_norm_eps + l_self_modules_head_modules_drop_p = L_self_modules_head_modules_drop_p + l_self_modules_head_modules_fc_parameters_weight_ = ( + L_self_modules_head_modules_fc_parameters_weight_ + ) + l_self_modules_head_modules_fc_parameters_bias_ = ( + L_self_modules_head_modules_fc_parameters_bias_ + ) + input_1 = torch.conv2d( + l_x_, + l_self_modules_stem_modules_0_parameters_weight_, + l_self_modules_stem_modules_0_parameters_bias_, + (4, 4), + (0, 0), + (1, 1), + 1, + ) + l_x_ = ( + l_self_modules_stem_modules_0_parameters_weight_ + ) = l_self_modules_stem_modules_0_parameters_bias_ = None + x = input_1.permute(0, 2, 3, 1) + input_1 = None + item = l_self_modules_stem_modules_1_eps.item() + l_self_modules_stem_modules_1_eps = None + x_1 = torch.nn.functional.layer_norm( + x, + (40,), + l_self_modules_stem_modules_1_parameters_weight_, + l_self_modules_stem_modules_1_parameters_bias_, + item, + ) + x = ( + l_self_modules_stem_modules_1_parameters_weight_ + ) = l_self_modules_stem_modules_1_parameters_bias_ = item = None + x_2 = x_1.permute(0, 3, 1, 2) + x_1 = None + x_3 = torch.conv2d( + x_2, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 40, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) + x_4 = x_3.permute(0, 2, 3, 1) + x_3 = None + item_1 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps = None + x_5 = torch.nn.functional.layer_norm( + x_4, + (40,), + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_, + item_1, + ) + x_4 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_1) = ( + None + ) + x_6 = x_5.permute(0, 3, 1, 2) + x_5 = None + x_7 = torch.conv2d( + x_6, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_8 = torch.nn.functional.gelu(x_7) + x_7 = None + item_2 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( + None + ) + x_9 = torch.nn.functional.dropout(x_8, item_2, False, False) + x_8 = item_2 = None + x_10 = torch.conv2d( + x_9, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_3 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( + None + ) + x_11 = torch.nn.functional.dropout(x_10, item_3, False, False) + x_10 = item_3 = None + reshape = l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( + None + ) + x_12 = x_11.mul(reshape) + x_11 = reshape = None + x_13 = x_12 + x_2 + x_12 = x_2 = None + x_14 = torch.conv2d( + x_13, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 40, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) + x_15 = x_14.permute(0, 2, 3, 1) + x_14 = None + item_4 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps = None + x_16 = torch.nn.functional.layer_norm( + x_15, + (40,), + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_, + item_4, + ) + x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_4) = ( + None + ) + x_17 = x_16.permute(0, 3, 1, 2) + x_16 = None + x_18 = torch.conv2d( + x_17, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_17 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_19 = torch.nn.functional.gelu(x_18) + x_18 = None + item_5 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( + None + ) + x_20 = torch.nn.functional.dropout(x_19, item_5, False, False) + x_19 = item_5 = None + x_21 = torch.conv2d( + x_20, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_20 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_6 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( + None + ) + x_22 = torch.nn.functional.dropout(x_21, item_6, False, False) + x_21 = item_6 = None + reshape_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( + None + ) + x_23 = x_22.mul(reshape_1) + x_22 = reshape_1 = None + x_24 = x_23 + x_13 + x_23 = x_13 = None + x_25 = x_24.permute(0, 2, 3, 1) + x_24 = None + item_7 = l_self_modules_stages_modules_1_modules_downsample_modules_0_eps.item() + l_self_modules_stages_modules_1_modules_downsample_modules_0_eps = None + x_26 = torch.nn.functional.layer_norm( + x_25, + (40,), + l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_, + l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_, + item_7, + ) + x_25 = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = (item_7) = ( + None + ) + x_27 = x_26.permute(0, 3, 1, 2) + x_26 = None + input_2 = torch.conv2d( + x_27, + l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_, + l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + x_27 = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = (None) + x_28 = torch.conv2d( + input_2, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 80, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) + x_29 = x_28.permute(0, 2, 3, 1) + x_28 = None + item_8 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps = None + x_30 = torch.nn.functional.layer_norm( + x_29, + (80,), + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_, + item_8, + ) + x_29 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_8) = ( + None + ) + x_31 = x_30.permute(0, 3, 1, 2) + x_30 = None + x_32 = torch.conv2d( + x_31, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_31 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_33 = torch.nn.functional.gelu(x_32) + x_32 = None + item_9 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( + None + ) + x_34 = torch.nn.functional.dropout(x_33, item_9, False, False) + x_33 = item_9 = None + x_35 = torch.conv2d( + x_34, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_34 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_10 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( + None + ) + x_36 = torch.nn.functional.dropout(x_35, item_10, False, False) + x_35 = item_10 = None + reshape_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( + None + ) + x_37 = x_36.mul(reshape_2) + x_36 = reshape_2 = None + x_38 = x_37 + input_2 + x_37 = input_2 = None + x_39 = torch.conv2d( + x_38, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 80, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) + x_40 = x_39.permute(0, 2, 3, 1) + x_39 = None + item_11 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps = None + x_41 = torch.nn.functional.layer_norm( + x_40, + (80,), + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_, + item_11, + ) + x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_11) = ( + None + ) + x_42 = x_41.permute(0, 3, 1, 2) + x_41 = None + x_43 = torch.conv2d( + x_42, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_44 = torch.nn.functional.gelu(x_43) + x_43 = None + item_12 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( + None + ) + x_45 = torch.nn.functional.dropout(x_44, item_12, False, False) + x_44 = item_12 = None + x_46 = torch.conv2d( + x_45, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_13 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( + None + ) + x_47 = torch.nn.functional.dropout(x_46, item_13, False, False) + x_46 = item_13 = None + reshape_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( + None + ) + x_48 = x_47.mul(reshape_3) + x_47 = reshape_3 = None + x_49 = x_48 + x_38 + x_48 = x_38 = None + x_50 = x_49.permute(0, 2, 3, 1) + x_49 = None + item_14 = ( + l_self_modules_stages_modules_2_modules_downsample_modules_0_eps.item() + ) + l_self_modules_stages_modules_2_modules_downsample_modules_0_eps = None + x_51 = torch.nn.functional.layer_norm( + x_50, + (80,), + l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_, + l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_, + item_14, + ) + x_50 = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = (item_14) = ( + None + ) + x_52 = x_51.permute(0, 3, 1, 2) + x_51 = None + input_3 = torch.conv2d( + x_52, + l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_, + l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + x_52 = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = (None) + x_53 = torch.conv2d( + input_3, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) + x_54 = x_53.permute(0, 2, 3, 1) + x_53 = None + item_15 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps = None + x_55 = torch.nn.functional.layer_norm( + x_54, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_, + item_15, + ) + x_54 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_15) = ( + None + ) + x_56 = x_55.permute(0, 3, 1, 2) + x_55 = None + x_57 = torch.conv2d( + x_56, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_56 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_58 = torch.nn.functional.gelu(x_57) + x_57 = None + item_16 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( + None + ) + x_59 = torch.nn.functional.dropout(x_58, item_16, False, False) + x_58 = item_16 = None + x_60 = torch.conv2d( + x_59, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_59 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_17 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( + None + ) + x_61 = torch.nn.functional.dropout(x_60, item_17, False, False) + x_60 = item_17 = None + reshape_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( + None + ) + x_62 = x_61.mul(reshape_4) + x_61 = reshape_4 = None + x_63 = x_62 + input_3 + x_62 = input_3 = None + x_64 = torch.conv2d( + x_63, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) + x_65 = x_64.permute(0, 2, 3, 1) + x_64 = None + item_18 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps = None + x_66 = torch.nn.functional.layer_norm( + x_65, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_, + item_18, + ) + x_65 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_18) = ( + None + ) + x_67 = x_66.permute(0, 3, 1, 2) + x_66 = None + x_68 = torch.conv2d( + x_67, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_69 = torch.nn.functional.gelu(x_68) + x_68 = None + item_19 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( + None + ) + x_70 = torch.nn.functional.dropout(x_69, item_19, False, False) + x_69 = item_19 = None + x_71 = torch.conv2d( + x_70, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_20 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( + None + ) + x_72 = torch.nn.functional.dropout(x_71, item_20, False, False) + x_71 = item_20 = None + reshape_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( + None + ) + x_73 = x_72.mul(reshape_5) + x_72 = reshape_5 = None + x_74 = x_73 + x_63 + x_73 = x_63 = None + x_75 = torch.conv2d( + x_74, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) + x_76 = x_75.permute(0, 2, 3, 1) + x_75 = None + item_21 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps = None + x_77 = torch.nn.functional.layer_norm( + x_76, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_, + item_21, + ) + x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = (item_21) = ( + None + ) + x_78 = x_77.permute(0, 3, 1, 2) + x_77 = None + x_79 = torch.conv2d( + x_78, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_78 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_80 = torch.nn.functional.gelu(x_79) + x_79 = None + item_22 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p = ( + None + ) + x_81 = torch.nn.functional.dropout(x_80, item_22, False, False) + x_80 = item_22 = None + x_82 = torch.conv2d( + x_81, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_81 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_23 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p = ( + None + ) + x_83 = torch.nn.functional.dropout(x_82, item_23, False, False) + x_82 = item_23 = None + reshape_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( + None + ) + x_84 = x_83.mul(reshape_6) + x_83 = reshape_6 = None + x_85 = x_84 + x_74 + x_84 = x_74 = None + x_86 = torch.conv2d( + x_85, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = (None) + x_87 = x_86.permute(0, 2, 3, 1) + x_86 = None + item_24 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps = None + x_88 = torch.nn.functional.layer_norm( + x_87, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_, + item_24, + ) + x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = (item_24) = ( + None + ) + x_89 = x_88.permute(0, 3, 1, 2) + x_88 = None + x_90 = torch.conv2d( + x_89, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_91 = torch.nn.functional.gelu(x_90) + x_90 = None + item_25 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p = ( + None + ) + x_92 = torch.nn.functional.dropout(x_91, item_25, False, False) + x_91 = item_25 = None + x_93 = torch.conv2d( + x_92, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_26 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p = ( + None + ) + x_94 = torch.nn.functional.dropout(x_93, item_26, False, False) + x_93 = item_26 = None + reshape_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( + None + ) + x_95 = x_94.mul(reshape_7) + x_94 = reshape_7 = None + x_96 = x_95 + x_85 + x_95 = x_85 = None + x_97 = torch.conv2d( + x_96, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = (None) + x_98 = x_97.permute(0, 2, 3, 1) + x_97 = None + item_27 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps = None + x_99 = torch.nn.functional.layer_norm( + x_98, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_, + item_27, + ) + x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = (item_27) = ( + None + ) + x_100 = x_99.permute(0, 3, 1, 2) + x_99 = None + x_101 = torch.conv2d( + x_100, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_102 = torch.nn.functional.gelu(x_101) + x_101 = None + item_28 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p = ( + None + ) + x_103 = torch.nn.functional.dropout(x_102, item_28, False, False) + x_102 = item_28 = None + x_104 = torch.conv2d( + x_103, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_103 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_29 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p = ( + None + ) + x_105 = torch.nn.functional.dropout(x_104, item_29, False, False) + x_104 = item_29 = None + reshape_8 = l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( + None + ) + x_106 = x_105.mul(reshape_8) + x_105 = reshape_8 = None + x_107 = x_106 + x_96 + x_106 = x_96 = None + x_108 = torch.conv2d( + x_107, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 160, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = (None) + x_109 = x_108.permute(0, 2, 3, 1) + x_108 = None + item_30 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps = None + x_110 = torch.nn.functional.layer_norm( + x_109, + (160,), + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_, + item_30, + ) + x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = (item_30) = ( + None + ) + x_111 = x_110.permute(0, 3, 1, 2) + x_110 = None + x_112 = torch.conv2d( + x_111, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_113 = torch.nn.functional.gelu(x_112) + x_112 = None + item_31 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p = ( + None + ) + x_114 = torch.nn.functional.dropout(x_113, item_31, False, False) + x_113 = item_31 = None + x_115 = torch.conv2d( + x_114, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_32 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p = ( + None + ) + x_116 = torch.nn.functional.dropout(x_115, item_32, False, False) + x_115 = item_32 = None + reshape_9 = l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( + None + ) + x_117 = x_116.mul(reshape_9) + x_116 = reshape_9 = None + x_118 = x_117 + x_107 + x_117 = x_107 = None + x_119 = x_118.permute(0, 2, 3, 1) + x_118 = None + item_33 = ( + l_self_modules_stages_modules_3_modules_downsample_modules_0_eps.item() + ) + l_self_modules_stages_modules_3_modules_downsample_modules_0_eps = None + x_120 = torch.nn.functional.layer_norm( + x_119, + (160,), + l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_, + l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_, + item_33, + ) + x_119 = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = (item_33) = ( + None + ) + x_121 = x_120.permute(0, 3, 1, 2) + x_120 = None + input_4 = torch.conv2d( + x_121, + l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_, + l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + x_121 = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = (None) + x_122 = torch.conv2d( + input_4, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 320, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) + x_123 = x_122.permute(0, 2, 3, 1) + x_122 = None + item_34 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps = None + x_124 = torch.nn.functional.layer_norm( + x_123, + (320,), + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_, + item_34, + ) + x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_34) = ( + None + ) + x_125 = x_124.permute(0, 3, 1, 2) + x_124 = None + x_126 = torch.conv2d( + x_125, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_125 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_127 = torch.nn.functional.gelu(x_126) + x_126 = None + item_35 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( + None + ) + x_128 = torch.nn.functional.dropout(x_127, item_35, False, False) + x_127 = item_35 = None + x_129 = torch.conv2d( + x_128, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_128 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_36 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( + None + ) + x_130 = torch.nn.functional.dropout(x_129, item_36, False, False) + x_129 = item_36 = None + reshape_10 = l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( + None + ) + x_131 = x_130.mul(reshape_10) + x_130 = reshape_10 = None + x_132 = x_131 + input_4 + x_131 = input_4 = None + x_133 = torch.conv2d( + x_132, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, + (1, 1), + (3, 3), + (1, 1), + 320, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) + x_134 = x_133.permute(0, 2, 3, 1) + x_133 = None + item_37 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps = None + x_135 = torch.nn.functional.layer_norm( + x_134, + (320,), + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_, + item_37, + ) + x_134 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_37) = ( + None + ) + x_136 = x_135.permute(0, 3, 1, 2) + x_135 = None + x_137 = torch.conv2d( + x_136, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_136 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) + x_138 = torch.nn.functional.gelu(x_137) + x_137 = None + item_38 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( + None + ) + x_139 = torch.nn.functional.dropout(x_138, item_38, False, False) + x_138 = item_38 = None + x_140 = torch.conv2d( + x_139, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_139 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) + item_39 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( + None + ) + x_141 = torch.nn.functional.dropout(x_140, item_39, False, False) + x_140 = item_39 = None + reshape_11 = l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_.reshape( + 1, -1, 1, 1 + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( + None + ) + x_142 = x_141.mul(reshape_11) + x_141 = reshape_11 = None + x_143 = x_142 + x_132 + x_142 = x_132 = None + x_144 = torch.nn.functional.adaptive_avg_pool2d(x_143, 1) + x_143 = None + x_145 = x_144.permute(0, 2, 3, 1) + x_144 = None + item_40 = l_self_modules_head_modules_norm_eps.item() + l_self_modules_head_modules_norm_eps = None + x_146 = torch.nn.functional.layer_norm( + x_145, + (320,), + l_self_modules_head_modules_norm_parameters_weight_, + l_self_modules_head_modules_norm_parameters_bias_, + item_40, + ) + x_145 = ( + l_self_modules_head_modules_norm_parameters_weight_ + ) = l_self_modules_head_modules_norm_parameters_bias_ = item_40 = None + x_147 = x_146.permute(0, 3, 1, 2) + x_146 = None + x_148 = x_147.flatten(1, -1) + x_147 = None + item_41 = l_self_modules_head_modules_drop_p.item() + l_self_modules_head_modules_drop_p = None + x_149 = torch.nn.functional.dropout(x_148, item_41, False, False) + x_148 = item_41 = None + x_150 = torch.nn.functional.linear( + x_149, + l_self_modules_head_modules_fc_parameters_weight_, + l_self_modules_head_modules_fc_parameters_bias_, + ) + x_149 = ( + l_self_modules_head_modules_fc_parameters_weight_ + ) = l_self_modules_head_modules_fc_parameters_bias_ = None + return (x_150,) diff --git a/samples/timm_samples/convnext_atto/weight_meta.py b/samples/timm_samples/convnext_atto/weight_meta.py new file mode 100644 index 000000000..15c8d9170 --- /dev/null +++ b/samples/timm_samples/convnext_atto/weight_meta.py @@ -0,0 +1,2345 @@ +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_weight_: + name = "L_self_modules_stem_modules_0_parameters_weight_" + shape = [40, 3, 4, 4] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.019 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_bias_: + name = "L_self_modules_stem_modules_0_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_s53: + name = "s53" + 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 = "cpu" + mean = 0.499 + std = 0.289 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_weight_: + name = "L_self_modules_stem_modules_1_parameters_weight_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = [ + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_bias_: + name = "L_self_modules_stem_modules_1_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_eps: + name = "L_self_modules_stem_modules_1_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" + shape = [40, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = [ + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" + shape = [160, 40, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" + shape = [40, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.001 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" + shape = [40, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = [ + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" + shape = [160, 40, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" + shape = [40, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + 0.000001, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_" + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = [ + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + 1.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: + name = ( + "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_" + ) + shape = [40] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [ + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + 0.000000, + ] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_eps: + name = "L_self_modules_stages_modules_1_modules_downsample_modules_0_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_" + shape = [80, 40, 2, 2] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: + name = ( + "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_" + ) + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" + shape = [80, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" + shape = [320, 80, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" + shape = [80, 320, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" + shape = [80, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" + shape = [320, 80, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" + shape = [80, 320, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_" + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: + name = ( + "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_" + ) + shape = [80] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_eps: + name = "L_self_modules_stages_modules_2_modules_downsample_modules_0_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_" + shape = [160, 80, 2, 2] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: + name = ( + "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_" + ) + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_" + shape = [160, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_" + shape = [640, 160, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_" + shape = [640] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_" + shape = [160, 640, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: + name = ( + "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_" + ) + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_eps: + name = "L_self_modules_stages_modules_3_modules_downsample_modules_0_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_" + shape = [320, 160, 2, 2] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: + name = ( + "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_" + ) + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" + shape = [320, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" + shape = [1280, 320, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" + shape = [1280] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" + shape = [320, 1280, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" + shape = [320, 1, 7, 7] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" + shape = [1280, 320, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" + shape = [1280] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" + shape = [320, 1280, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_weight_: + name = "L_self_modules_head_modules_norm_parameters_weight_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_bias_: + name = "L_self_modules_head_modules_norm_parameters_bias_" + shape = [320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_head_modules_norm_eps: + name = "L_self_modules_head_modules_norm_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000001] + + +class Program_weight_tensor_meta_L_self_modules_head_modules_drop_p: + name = "L_self_modules_head_modules_drop_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_: + name = "L_self_modules_head_modules_fc_parameters_weight_" + shape = [1000, 320] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_: + name = "L_self_modules_head_modules_fc_parameters_bias_" + shape = [1000] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None From f2ca15552c16c19067f1c1d2f02753a296cdb64c Mon Sep 17 00:00:00 2001 From: darkerkiller <2771634569@qq.com> Date: Mon, 9 Mar 2026 09:44:01 +0000 Subject: [PATCH 3/3] format vovnet39a sample and fix code style --- graph_net/test/extract_resnet18.py | 35 - ..._convnext_atto.py => extract_vovnet39a.py} | 10 +- samples/timm/vovnet39a/graph_hash.txt | 1 + .../vovnet39a}/graph_net.json | 2 +- .../vovnet39a}/input_meta.py | 0 .../vovnet39a}/input_tensor_constraints.py | 0 samples/timm/vovnet39a/model.py | 2146 +++++++++++++ samples/timm/vovnet39a/weight_meta.py | 2778 +++++++++++++++++ .../timm_samples/convnext_atto/graph_hash.txt | 1 - .../timm_samples/convnext_atto/graph_net.json | 7 - samples/timm_samples/convnext_atto/model.py | 1475 --------- .../timm_samples/convnext_atto/weight_meta.py | 2345 -------------- samples/torch_samples/resnet18/graph_hash.txt | 1 - samples/torch_samples/resnet18/input_meta.py | 0 .../resnet18/input_tensor_constraints.py | 0 samples/torch_samples/resnet18/model.py | 261 -- samples/torch_samples/resnet18/weight_meta.py | 1295 -------- 17 files changed, 4929 insertions(+), 5428 deletions(-) delete mode 100644 graph_net/test/extract_resnet18.py rename graph_net/test/{extract_convnext_atto.py => extract_vovnet39a.py} (66%) create mode 100644 samples/timm/vovnet39a/graph_hash.txt rename samples/{torch_samples/resnet18 => timm/vovnet39a}/graph_net.json (78%) rename samples/{timm_samples/convnext_atto => timm/vovnet39a}/input_meta.py (100%) rename samples/{timm_samples/convnext_atto => timm/vovnet39a}/input_tensor_constraints.py (100%) create mode 100644 samples/timm/vovnet39a/model.py create mode 100644 samples/timm/vovnet39a/weight_meta.py delete mode 100644 samples/timm_samples/convnext_atto/graph_hash.txt delete mode 100644 samples/timm_samples/convnext_atto/graph_net.json delete mode 100644 samples/timm_samples/convnext_atto/model.py delete mode 100644 samples/timm_samples/convnext_atto/weight_meta.py delete mode 100644 samples/torch_samples/resnet18/graph_hash.txt delete mode 100644 samples/torch_samples/resnet18/input_meta.py delete mode 100644 samples/torch_samples/resnet18/input_tensor_constraints.py delete mode 100644 samples/torch_samples/resnet18/model.py delete mode 100644 samples/torch_samples/resnet18/weight_meta.py diff --git a/graph_net/test/extract_resnet18.py b/graph_net/test/extract_resnet18.py deleted file mode 100644 index 35e812d7d..000000000 --- a/graph_net/test/extract_resnet18.py +++ /dev/null @@ -1,35 +0,0 @@ -import torch -from torchvision.models import get_model, get_model_weights -from graph_net.torch.extractor import extract - -def main(): - name = 'resnet18' - device_str = 'cpu' # 推荐先用 CPU 测试 - device = torch.device(device_str) - print(f"开始测试模型: {name} on {device_str}") - - # 加载模型与权重 - try: - w = get_model_weights(name) - model = get_model(name, weights=w.DEFAULT) - except Exception as e: - print(f"[FAIL] 实例化模型失败 - {e}") - return - - # 构造标准 CV 模型的输入张量 (1, 3, 224, 224) - input_data = torch.rand(1, 3, 224, 224, device=device) - - # 使用 GraphNet 官方 API 包装并抽取计算图 - model = model.to(device).eval() - wrapped = extract(name=name)(model).eval() - - try: - with torch.no_grad(): - # 执行前向传播，计算图会自动保存到 GRAPH_NET_EXTRACT_WORKSPACE 目录 - wrapped(input_data) - print(f"[OK] {name} 计算图抽取成功！") - except Exception as e: - print(f"[FAIL] {name} 抽取发生错误 - {e}") - -if __name__ == "__main__": - main() \ No newline at end of file diff --git a/graph_net/test/extract_convnext_atto.py b/graph_net/test/extract_vovnet39a.py similarity index 66% rename from graph_net/test/extract_convnext_atto.py rename to graph_net/test/extract_vovnet39a.py index 7b137805d..1e7ca2b51 100644 --- a/graph_net/test/extract_convnext_atto.py +++ b/graph_net/test/extract_vovnet39a.py @@ -4,35 +4,31 @@ import torch from graph_net.torch.extractor import extract -# 强制在运行脚本时注入环境变量，避免终端重置导致的环境丢失 +# 强制注入环境变量，防止丢失 os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = "/home/aistudio/graphnet_workspace" os.makedirs(os.environ["GRAPH_NET_EXTRACT_WORKSPACE"], exist_ok=True) def main(): - name = "convnext_atto" + name = "vovnet39a" device_str = "cpu" device = torch.device(device_str) print(f"开始测试模型: {name} on {device_str}") - # 1. 实例化 timm 模型 - # 抽取计算图只关心网络结构 (OPs)，无需下载庞大的预训练权重，因此 pretrained=False try: model = timm.create_model(name, pretrained=False) except Exception as e: print(f"[FAIL] 实例化模型失败 - {e}") return - # 2. 构造标准 CV 模型的输入张量 (BatchSize=1, Channels=3, H=224, W=224) + # VoVNet 标准输入分辨率是 224 input_data = torch.rand(1, 3, 224, 224, device=device) - # 3. 包装并抽取计算图 model = model.to(device).eval() wrapped = extract(name=name)(model).eval() try: with torch.no_grad(): - # 执行前向传播，GraphNet 装饰器会自动拦截并保存计算图 wrapped(input_data) print(f"[OK] {name} 计算图抽取成功！") except Exception as e: diff --git a/samples/timm/vovnet39a/graph_hash.txt b/samples/timm/vovnet39a/graph_hash.txt new file mode 100644 index 000000000..d934f7a83 --- /dev/null +++ b/samples/timm/vovnet39a/graph_hash.txt @@ -0,0 +1 @@ +59ec37f6d64ba344a84c2ac69fcb427273851fb0eee47fa4f2a755b30c277913 \ No newline at end of file diff --git a/samples/torch_samples/resnet18/graph_net.json b/samples/timm/vovnet39a/graph_net.json similarity index 78% rename from samples/torch_samples/resnet18/graph_net.json rename to samples/timm/vovnet39a/graph_net.json index 28de89783..e1d583ed6 100644 --- a/samples/torch_samples/resnet18/graph_net.json +++ b/samples/timm/vovnet39a/graph_net.json @@ -3,5 +3,5 @@ "num_devices_required": 1, "num_nodes_required": 1, "dynamic": true, - "model_name": "resnet18" + "model_name": "vovnet39a" } \ No newline at end of file diff --git a/samples/timm_samples/convnext_atto/input_meta.py b/samples/timm/vovnet39a/input_meta.py similarity index 100% rename from samples/timm_samples/convnext_atto/input_meta.py rename to samples/timm/vovnet39a/input_meta.py diff --git a/samples/timm_samples/convnext_atto/input_tensor_constraints.py b/samples/timm/vovnet39a/input_tensor_constraints.py similarity index 100% rename from samples/timm_samples/convnext_atto/input_tensor_constraints.py rename to samples/timm/vovnet39a/input_tensor_constraints.py diff --git a/samples/timm/vovnet39a/model.py b/samples/timm/vovnet39a/model.py new file mode 100644 index 000000000..7dc1844db --- /dev/null +++ b/samples/timm/vovnet39a/model.py @@ -0,0 +1,2146 @@ +import torch + + +class GraphModule(torch.nn.Module): + def forward( + self, + L_self_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + s53: torch.SymInt, + L_x_: torch.Tensor, + L_self_modules_stem_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stem_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: torch.Tensor, + L_self_modules_head_modules_drop_p: torch.Tensor, + L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, + ): + l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = ( + L_self_modules_stem_modules_0_modules_conv_parameters_weight_ + ) + l_x_ = L_x_ + l_self_modules_stem_modules_0_modules_bn_momentum = ( + L_self_modules_stem_modules_0_modules_bn_momentum + ) + l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ = ( + L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ + ) + l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ = ( + L_self_modules_stem_modules_0_modules_bn_buffers_running_var_ + ) + l_self_modules_stem_modules_0_modules_bn_parameters_weight_ = ( + L_self_modules_stem_modules_0_modules_bn_parameters_weight_ + ) + l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = ( + L_self_modules_stem_modules_0_modules_bn_parameters_bias_ + ) + l_self_modules_stem_modules_0_modules_bn_eps = ( + L_self_modules_stem_modules_0_modules_bn_eps + ) + l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = ( + L_self_modules_stem_modules_1_modules_conv_parameters_weight_ + ) + l_self_modules_stem_modules_1_modules_bn_momentum = ( + L_self_modules_stem_modules_1_modules_bn_momentum + ) + l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ = ( + L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ + ) + l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ = ( + L_self_modules_stem_modules_1_modules_bn_buffers_running_var_ + ) + l_self_modules_stem_modules_1_modules_bn_parameters_weight_ = ( + L_self_modules_stem_modules_1_modules_bn_parameters_weight_ + ) + l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = ( + L_self_modules_stem_modules_1_modules_bn_parameters_bias_ + ) + l_self_modules_stem_modules_1_modules_bn_eps = ( + L_self_modules_stem_modules_1_modules_bn_eps + ) + l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = ( + L_self_modules_stem_modules_2_modules_conv_parameters_weight_ + ) + l_self_modules_stem_modules_2_modules_bn_momentum = ( + L_self_modules_stem_modules_2_modules_bn_momentum + ) + l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ = ( + L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ + ) + l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ = ( + L_self_modules_stem_modules_2_modules_bn_buffers_running_var_ + ) + l_self_modules_stem_modules_2_modules_bn_parameters_weight_ = ( + L_self_modules_stem_modules_2_modules_bn_parameters_weight_ + ) + l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = ( + L_self_modules_stem_modules_2_modules_bn_parameters_bias_ + ) + l_self_modules_stem_modules_2_modules_bn_eps = ( + L_self_modules_stem_modules_2_modules_bn_eps + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps + l_self_modules_head_modules_drop_p = L_self_modules_head_modules_drop_p + l_self_modules_head_modules_fc_parameters_weight_ = ( + L_self_modules_head_modules_fc_parameters_weight_ + ) + l_self_modules_head_modules_fc_parameters_bias_ = ( + L_self_modules_head_modules_fc_parameters_bias_ + ) + x = torch.conv2d( + l_x_, + l_self_modules_stem_modules_0_modules_conv_parameters_weight_, + None, + (2, 2), + (1, 1), + (1, 1), + 1, + ) + l_x_ = l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = None + item = l_self_modules_stem_modules_0_modules_bn_momentum.item() + l_self_modules_stem_modules_0_modules_bn_momentum = None + item_1 = l_self_modules_stem_modules_0_modules_bn_eps.item() + l_self_modules_stem_modules_0_modules_bn_eps = None + x_1 = torch.nn.functional.batch_norm( + x, + l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stem_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stem_modules_0_modules_bn_parameters_weight_, + l_self_modules_stem_modules_0_modules_bn_parameters_bias_, + False, + item, + item_1, + ) + x = ( + l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ + ) = ( + l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ + ) = ( + l_self_modules_stem_modules_0_modules_bn_parameters_weight_ + ) = ( + l_self_modules_stem_modules_0_modules_bn_parameters_bias_ + ) = item = item_1 = None + x_2 = torch.nn.functional.relu(x_1, inplace=True) + x_1 = None + x_3 = torch.conv2d( + x_2, + l_self_modules_stem_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + x_2 = l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = None + item_2 = l_self_modules_stem_modules_1_modules_bn_momentum.item() + l_self_modules_stem_modules_1_modules_bn_momentum = None + item_3 = l_self_modules_stem_modules_1_modules_bn_eps.item() + l_self_modules_stem_modules_1_modules_bn_eps = None + x_4 = torch.nn.functional.batch_norm( + x_3, + l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stem_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stem_modules_1_modules_bn_parameters_weight_, + l_self_modules_stem_modules_1_modules_bn_parameters_bias_, + False, + item_2, + item_3, + ) + x_3 = ( + l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ + ) = ( + l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ + ) = ( + l_self_modules_stem_modules_1_modules_bn_parameters_weight_ + ) = ( + l_self_modules_stem_modules_1_modules_bn_parameters_bias_ + ) = item_2 = item_3 = None + x_5 = torch.nn.functional.relu(x_4, inplace=True) + x_4 = None + x_6 = torch.conv2d( + x_5, + l_self_modules_stem_modules_2_modules_conv_parameters_weight_, + None, + (2, 2), + (1, 1), + (1, 1), + 1, + ) + x_5 = l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = None + item_4 = l_self_modules_stem_modules_2_modules_bn_momentum.item() + l_self_modules_stem_modules_2_modules_bn_momentum = None + item_5 = l_self_modules_stem_modules_2_modules_bn_eps.item() + l_self_modules_stem_modules_2_modules_bn_eps = None + x_7 = torch.nn.functional.batch_norm( + x_6, + l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stem_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stem_modules_2_modules_bn_parameters_weight_, + l_self_modules_stem_modules_2_modules_bn_parameters_bias_, + False, + item_4, + item_5, + ) + x_6 = ( + l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ + ) = ( + l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ + ) = ( + l_self_modules_stem_modules_2_modules_bn_parameters_weight_ + ) = ( + l_self_modules_stem_modules_2_modules_bn_parameters_bias_ + ) = item_4 = item_5 = None + x_8 = torch.nn.functional.relu(x_7, inplace=True) + x_7 = None + x_9 = torch.conv2d( + x_8, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_6 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_7 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_10 = torch.nn.functional.batch_norm( + x_9, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_6, + item_7, + ) + x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_6) = ( + item_7 + ) = None + x_11 = torch.nn.functional.relu(x_10, inplace=True) + x_10 = None + x_12 = torch.conv2d( + x_11, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_8 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_9 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_13 = torch.nn.functional.batch_norm( + x_12, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_8, + item_9, + ) + x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_8) = ( + item_9 + ) = None + x_14 = torch.nn.functional.relu(x_13, inplace=True) + x_13 = None + x_15 = torch.conv2d( + x_14, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_10 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_11 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_16 = torch.nn.functional.batch_norm( + x_15, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_10, + item_11, + ) + x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_10) = ( + item_11 + ) = None + x_17 = torch.nn.functional.relu(x_16, inplace=True) + x_16 = None + x_18 = torch.conv2d( + x_17, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_12 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_13 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_19 = torch.nn.functional.batch_norm( + x_18, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_12, + item_13, + ) + x_18 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_12) = ( + item_13 + ) = None + x_20 = torch.nn.functional.relu(x_19, inplace=True) + x_19 = None + x_21 = torch.conv2d( + x_20, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_14 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_15 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_22 = torch.nn.functional.batch_norm( + x_21, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_14, + item_15, + ) + x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_14) = ( + item_15 + ) = None + x_23 = torch.nn.functional.relu(x_22, inplace=True) + x_22 = None + x_24 = torch.cat([x_8, x_11, x_14, x_17, x_20, x_23], dim=1) + x_8 = x_11 = x_14 = x_17 = x_20 = x_23 = None + x_25 = torch.conv2d( + x_24, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_24 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_16 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_17 = ( + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = ( + None + ) + x_26 = torch.nn.functional.batch_norm( + x_25, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_16, + item_17, + ) + x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_16) = ( + item_17 + ) = None + x_27 = torch.nn.functional.relu(x_26, inplace=True) + x_26 = None + x_28 = torch.nn.functional.max_pool2d( + x_27, 3, 2, 0, 1, ceil_mode=True, return_indices=False + ) + x_27 = None + x_29 = torch.conv2d( + x_28, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_18 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_19 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_30 = torch.nn.functional.batch_norm( + x_29, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_18, + item_19, + ) + x_29 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_18) = ( + item_19 + ) = None + x_31 = torch.nn.functional.relu(x_30, inplace=True) + x_30 = None + x_32 = torch.conv2d( + x_31, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_20 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_21 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_33 = torch.nn.functional.batch_norm( + x_32, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_20, + item_21, + ) + x_32 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_20) = ( + item_21 + ) = None + x_34 = torch.nn.functional.relu(x_33, inplace=True) + x_33 = None + x_35 = torch.conv2d( + x_34, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_22 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_23 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_36 = torch.nn.functional.batch_norm( + x_35, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_22, + item_23, + ) + x_35 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_22) = ( + item_23 + ) = None + x_37 = torch.nn.functional.relu(x_36, inplace=True) + x_36 = None + x_38 = torch.conv2d( + x_37, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_24 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_25 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_39 = torch.nn.functional.batch_norm( + x_38, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_24, + item_25, + ) + x_38 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_24) = ( + item_25 + ) = None + x_40 = torch.nn.functional.relu(x_39, inplace=True) + x_39 = None + x_41 = torch.conv2d( + x_40, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_26 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_27 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_42 = torch.nn.functional.batch_norm( + x_41, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_26, + item_27, + ) + x_41 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_26) = ( + item_27 + ) = None + x_43 = torch.nn.functional.relu(x_42, inplace=True) + x_42 = None + x_44 = torch.cat([x_28, x_31, x_34, x_37, x_40, x_43], dim=1) + x_28 = x_31 = x_34 = x_37 = x_40 = x_43 = None + x_45 = torch.conv2d( + x_44, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_28 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_29 = ( + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = ( + None + ) + x_46 = torch.nn.functional.batch_norm( + x_45, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_28, + item_29, + ) + x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_28) = ( + item_29 + ) = None + x_47 = torch.nn.functional.relu(x_46, inplace=True) + x_46 = None + x_48 = torch.nn.functional.max_pool2d( + x_47, 3, 2, 0, 1, ceil_mode=True, return_indices=False + ) + x_47 = None + x_49 = torch.conv2d( + x_48, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_30 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_31 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_50 = torch.nn.functional.batch_norm( + x_49, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_30, + item_31, + ) + x_49 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_30) = ( + item_31 + ) = None + x_51 = torch.nn.functional.relu(x_50, inplace=True) + x_50 = None + x_52 = torch.conv2d( + x_51, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_32 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_33 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_53 = torch.nn.functional.batch_norm( + x_52, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_32, + item_33, + ) + x_52 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_32) = ( + item_33 + ) = None + x_54 = torch.nn.functional.relu(x_53, inplace=True) + x_53 = None + x_55 = torch.conv2d( + x_54, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_34 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_35 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_56 = torch.nn.functional.batch_norm( + x_55, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_34, + item_35, + ) + x_55 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_34) = ( + item_35 + ) = None + x_57 = torch.nn.functional.relu(x_56, inplace=True) + x_56 = None + x_58 = torch.conv2d( + x_57, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_36 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_37 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_59 = torch.nn.functional.batch_norm( + x_58, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_36, + item_37, + ) + x_58 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_36) = ( + item_37 + ) = None + x_60 = torch.nn.functional.relu(x_59, inplace=True) + x_59 = None + x_61 = torch.conv2d( + x_60, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_38 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_39 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_62 = torch.nn.functional.batch_norm( + x_61, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_38, + item_39, + ) + x_61 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_38) = ( + item_39 + ) = None + x_63 = torch.nn.functional.relu(x_62, inplace=True) + x_62 = None + x_64 = torch.cat([x_48, x_51, x_54, x_57, x_60, x_63], dim=1) + x_48 = x_51 = x_54 = x_57 = x_60 = x_63 = None + x_65 = torch.conv2d( + x_64, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_64 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_40 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_41 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = ( + None + ) + x_66 = torch.nn.functional.batch_norm( + x_65, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_40, + item_41, + ) + x_65 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_40) = ( + item_41 + ) = None + x_67 = torch.nn.functional.relu(x_66, inplace=True) + x_66 = None + x_68 = torch.conv2d( + x_67, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_42 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_43 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_69 = torch.nn.functional.batch_norm( + x_68, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_42, + item_43, + ) + x_68 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_42) = ( + item_43 + ) = None + x_70 = torch.nn.functional.relu(x_69, inplace=True) + x_69 = None + x_71 = torch.conv2d( + x_70, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_44 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_45 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_72 = torch.nn.functional.batch_norm( + x_71, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_44, + item_45, + ) + x_71 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_44) = ( + item_45 + ) = None + x_73 = torch.nn.functional.relu(x_72, inplace=True) + x_72 = None + x_74 = torch.conv2d( + x_73, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_46 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_47 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_75 = torch.nn.functional.batch_norm( + x_74, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_46, + item_47, + ) + x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_46) = ( + item_47 + ) = None + x_76 = torch.nn.functional.relu(x_75, inplace=True) + x_75 = None + x_77 = torch.conv2d( + x_76, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_48 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_49 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_78 = torch.nn.functional.batch_norm( + x_77, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_48, + item_49, + ) + x_77 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_48) = ( + item_49 + ) = None + x_79 = torch.nn.functional.relu(x_78, inplace=True) + x_78 = None + x_80 = torch.conv2d( + x_79, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_50 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_51 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_81 = torch.nn.functional.batch_norm( + x_80, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_50, + item_51, + ) + x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_50) = ( + item_51 + ) = None + x_82 = torch.nn.functional.relu(x_81, inplace=True) + x_81 = None + x_83 = torch.cat([x_67, x_70, x_73, x_76, x_79, x_82], dim=1) + x_67 = x_70 = x_73 = x_76 = x_79 = x_82 = None + x_84 = torch.conv2d( + x_83, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_52 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_53 = ( + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = ( + None + ) + x_85 = torch.nn.functional.batch_norm( + x_84, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_52, + item_53, + ) + x_84 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (item_52) = ( + item_53 + ) = None + x_86 = torch.nn.functional.relu(x_85, inplace=True) + x_85 = None + x_87 = torch.nn.functional.max_pool2d( + x_86, 3, 2, 0, 1, ceil_mode=True, return_indices=False + ) + x_86 = None + x_88 = torch.conv2d( + x_87, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_54 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_55 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_89 = torch.nn.functional.batch_norm( + x_88, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_54, + item_55, + ) + x_88 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_54) = ( + item_55 + ) = None + x_90 = torch.nn.functional.relu(x_89, inplace=True) + x_89 = None + x_91 = torch.conv2d( + x_90, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_56 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_57 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_92 = torch.nn.functional.batch_norm( + x_91, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_56, + item_57, + ) + x_91 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_56) = ( + item_57 + ) = None + x_93 = torch.nn.functional.relu(x_92, inplace=True) + x_92 = None + x_94 = torch.conv2d( + x_93, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_58 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_59 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_95 = torch.nn.functional.batch_norm( + x_94, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_58, + item_59, + ) + x_94 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_58) = ( + item_59 + ) = None + x_96 = torch.nn.functional.relu(x_95, inplace=True) + x_95 = None + x_97 = torch.conv2d( + x_96, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_60 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_61 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_98 = torch.nn.functional.batch_norm( + x_97, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_60, + item_61, + ) + x_97 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_60) = ( + item_61 + ) = None + x_99 = torch.nn.functional.relu(x_98, inplace=True) + x_98 = None + x_100 = torch.conv2d( + x_99, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_62 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_63 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_101 = torch.nn.functional.batch_norm( + x_100, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_62, + item_63, + ) + x_100 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_62) = ( + item_63 + ) = None + x_102 = torch.nn.functional.relu(x_101, inplace=True) + x_101 = None + x_103 = torch.cat([x_87, x_90, x_93, x_96, x_99, x_102], dim=1) + x_87 = x_90 = x_93 = x_96 = x_99 = x_102 = None + x_104 = torch.conv2d( + x_103, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_103 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_64 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_65 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = ( + None + ) + x_105 = torch.nn.functional.batch_norm( + x_104, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_64, + item_65, + ) + x_104 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_64) = ( + item_65 + ) = None + x_106 = torch.nn.functional.relu(x_105, inplace=True) + x_105 = None + x_107 = torch.conv2d( + x_106, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = ( + None + ) + item_66 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = ( + None + ) + item_67 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = ( + None + ) + x_108 = torch.nn.functional.batch_norm( + x_107, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_, + False, + item_66, + item_67, + ) + x_107 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_66) = ( + item_67 + ) = None + x_109 = torch.nn.functional.relu(x_108, inplace=True) + x_108 = None + x_110 = torch.conv2d( + x_109, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = ( + None + ) + item_68 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = ( + None + ) + item_69 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = ( + None + ) + x_111 = torch.nn.functional.batch_norm( + x_110, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_, + False, + item_68, + item_69, + ) + x_110 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_68) = ( + item_69 + ) = None + x_112 = torch.nn.functional.relu(x_111, inplace=True) + x_111 = None + x_113 = torch.conv2d( + x_112, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = ( + None + ) + item_70 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = ( + None + ) + item_71 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = ( + None + ) + x_114 = torch.nn.functional.batch_norm( + x_113, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_, + False, + item_70, + item_71, + ) + x_113 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_70) = ( + item_71 + ) = None + x_115 = torch.nn.functional.relu(x_114, inplace=True) + x_114 = None + x_116 = torch.conv2d( + x_115, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = ( + None + ) + item_72 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = ( + None + ) + item_73 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = ( + None + ) + x_117 = torch.nn.functional.batch_norm( + x_116, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_, + False, + item_72, + item_73, + ) + x_116 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_72) = ( + item_73 + ) = None + x_118 = torch.nn.functional.relu(x_117, inplace=True) + x_117 = None + x_119 = torch.conv2d( + x_118, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = ( + None + ) + item_74 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = ( + None + ) + item_75 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = ( + None + ) + x_120 = torch.nn.functional.batch_norm( + x_119, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_, + False, + item_74, + item_75, + ) + x_119 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_74) = ( + item_75 + ) = None + x_121 = torch.nn.functional.relu(x_120, inplace=True) + x_120 = None + x_122 = torch.cat([x_106, x_109, x_112, x_115, x_118, x_121], dim=1) + x_106 = x_109 = x_112 = x_115 = x_118 = x_121 = None + x_123 = torch.conv2d( + x_122, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + x_122 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None) + item_76 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = ( + None + ) + item_77 = ( + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps.item() + ) + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = ( + None + ) + x_124 = torch.nn.functional.batch_norm( + x_123, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_, + l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_, + False, + item_76, + item_77, + ) + x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (item_76) = ( + item_77 + ) = None + x_125 = torch.nn.functional.relu(x_124, inplace=True) + x_124 = None + x_126 = torch.nn.functional.adaptive_avg_pool2d(x_125, 1) + x_125 = None + x_127 = x_126.flatten(1, -1) + x_126 = None + item_78 = l_self_modules_head_modules_drop_p.item() + l_self_modules_head_modules_drop_p = None + x_128 = torch.nn.functional.dropout(x_127, item_78, False, False) + x_127 = item_78 = None + x_129 = torch.nn.functional.linear( + x_128, + l_self_modules_head_modules_fc_parameters_weight_, + l_self_modules_head_modules_fc_parameters_bias_, + ) + x_128 = ( + l_self_modules_head_modules_fc_parameters_weight_ + ) = l_self_modules_head_modules_fc_parameters_bias_ = None + return (x_129,) diff --git a/samples/timm/vovnet39a/weight_meta.py b/samples/timm/vovnet39a/weight_meta.py new file mode 100644 index 000000000..e28a7fcf5 --- /dev/null +++ b/samples/timm/vovnet39a/weight_meta.py @@ -0,0 +1,2778 @@ +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stem_modules_0_modules_conv_parameters_weight_" + shape = [64, 3, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.002 + std = 0.059 + data = None + + +class Program_weight_tensor_meta_s53: + name = "s53" + 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 = "cpu" + mean = 0.501 + std = 0.288 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_momentum: + name = "L_self_modules_stem_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stem_modules_0_modules_bn_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stem_modules_0_modules_bn_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_eps: + name = "L_self_modules_stem_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stem_modules_1_modules_conv_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.001 + std = 0.059 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_momentum: + name = "L_self_modules_stem_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stem_modules_1_modules_bn_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stem_modules_1_modules_bn_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_eps: + name = "L_self_modules_stem_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stem_modules_2_modules_conv_parameters_weight_" + shape = [128, 64, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_momentum: + name = "L_self_modules_stem_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stem_modules_2_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stem_modules_2_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_eps: + name = "L_self_modules_stem_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_" + shape = [256, 768, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.088 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [160, 256, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [160, 160, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [160, 160, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [160, 160, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [160, 160, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [160] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_" + shape = [512, 1056, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.063 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [192, 512, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_" + shape = [768, 1472, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [192, 768, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [192, 192, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [192] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_" + shape = [768, 1728, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [224, 768, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.032 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.032 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.032 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_" + shape = [1024, 1888, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_" + shape = [224, 1024, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_" + shape = [224, 224, 3, 3] + dtype = "torch.float32" + device = "cpu" + mean = -0.000 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_" + shape = [224] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_" + shape = [1024, 2144, 1, 1] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.100 + std = 0.000 + data = [0.100000] + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 1.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None + + +class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: + name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000010] + + +class Program_weight_tensor_meta_L_self_modules_head_modules_drop_p: + name = "L_self_modules_head_modules_drop_p" + shape = [] + dtype = "torch.float64" + device = "cpu" + mean = 0.000 + std = 0.000 + data = [0.000000] + + +class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_: + name = "L_self_modules_head_modules_fc_parameters_weight_" + shape = [1000, 1024] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.018 + data = None + + +class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_: + name = "L_self_modules_head_modules_fc_parameters_bias_" + shape = [1000] + dtype = "torch.float32" + device = "cpu" + mean = 0.000 + std = 0.000 + data = None diff --git a/samples/timm_samples/convnext_atto/graph_hash.txt b/samples/timm_samples/convnext_atto/graph_hash.txt deleted file mode 100644 index 73ef1fc2b..000000000 --- a/samples/timm_samples/convnext_atto/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -ac967aa1bb3783cd2518ab30ca764396240d096ecbe8e20ce89251057338a463 \ No newline at end of file diff --git a/samples/timm_samples/convnext_atto/graph_net.json b/samples/timm_samples/convnext_atto/graph_net.json deleted file mode 100644 index 4742b5e13..000000000 --- a/samples/timm_samples/convnext_atto/graph_net.json +++ /dev/null @@ -1,7 +0,0 @@ -{ - "framework": "torch", - "num_devices_required": 1, - "num_nodes_required": 1, - "dynamic": true, - "model_name": "convnext_atto" -} \ No newline at end of file diff --git a/samples/timm_samples/convnext_atto/model.py b/samples/timm_samples/convnext_atto/model.py deleted file mode 100644 index 326f3e734..000000000 --- a/samples/timm_samples/convnext_atto/model.py +++ /dev/null @@ -1,1475 +0,0 @@ -import torch - - -class GraphModule(torch.nn.Module): - def forward( - self, - L_self_modules_stem_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - s53: torch.SymInt, - L_x_: torch.Tensor, - L_self_modules_stem_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stem_modules_1_eps: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_0_eps: torch.Tensor, - L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_0_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_0_eps: torch.Tensor, - L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p: torch.Tensor, - L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_norm_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_norm_parameters_bias_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_norm_eps: torch.Tensor, - L_self_modules_head_modules_drop_p: torch.Tensor, - L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, - L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, - ): - l_self_modules_stem_modules_0_parameters_weight_ = ( - L_self_modules_stem_modules_0_parameters_weight_ - ) - l_self_modules_stem_modules_0_parameters_bias_ = ( - L_self_modules_stem_modules_0_parameters_bias_ - ) - l_x_ = L_x_ - l_self_modules_stem_modules_1_parameters_weight_ = ( - L_self_modules_stem_modules_1_parameters_weight_ - ) - l_self_modules_stem_modules_1_parameters_bias_ = ( - L_self_modules_stem_modules_1_parameters_bias_ - ) - l_self_modules_stem_modules_1_eps = L_self_modules_stem_modules_1_eps - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps = ( - L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps = ( - L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_1_modules_downsample_modules_0_eps = ( - L_self_modules_stages_modules_1_modules_downsample_modules_0_eps - ) - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps = ( - L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps = ( - L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_2_modules_downsample_modules_0_eps = ( - L_self_modules_stages_modules_2_modules_downsample_modules_0_eps - ) - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps = ( - L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( - L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ - ) - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ - l_self_modules_stages_modules_3_modules_downsample_modules_0_eps = ( - L_self_modules_stages_modules_3_modules_downsample_modules_0_eps - ) - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps = ( - L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( - L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps = ( - L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p - l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( - L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ - ) - l_self_modules_head_modules_norm_parameters_weight_ = ( - L_self_modules_head_modules_norm_parameters_weight_ - ) - l_self_modules_head_modules_norm_parameters_bias_ = ( - L_self_modules_head_modules_norm_parameters_bias_ - ) - l_self_modules_head_modules_norm_eps = L_self_modules_head_modules_norm_eps - l_self_modules_head_modules_drop_p = L_self_modules_head_modules_drop_p - l_self_modules_head_modules_fc_parameters_weight_ = ( - L_self_modules_head_modules_fc_parameters_weight_ - ) - l_self_modules_head_modules_fc_parameters_bias_ = ( - L_self_modules_head_modules_fc_parameters_bias_ - ) - input_1 = torch.conv2d( - l_x_, - l_self_modules_stem_modules_0_parameters_weight_, - l_self_modules_stem_modules_0_parameters_bias_, - (4, 4), - (0, 0), - (1, 1), - 1, - ) - l_x_ = ( - l_self_modules_stem_modules_0_parameters_weight_ - ) = l_self_modules_stem_modules_0_parameters_bias_ = None - x = input_1.permute(0, 2, 3, 1) - input_1 = None - item = l_self_modules_stem_modules_1_eps.item() - l_self_modules_stem_modules_1_eps = None - x_1 = torch.nn.functional.layer_norm( - x, - (40,), - l_self_modules_stem_modules_1_parameters_weight_, - l_self_modules_stem_modules_1_parameters_bias_, - item, - ) - x = ( - l_self_modules_stem_modules_1_parameters_weight_ - ) = l_self_modules_stem_modules_1_parameters_bias_ = item = None - x_2 = x_1.permute(0, 3, 1, 2) - x_1 = None - x_3 = torch.conv2d( - x_2, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 40, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_4 = x_3.permute(0, 2, 3, 1) - x_3 = None - item_1 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps = None - x_5 = torch.nn.functional.layer_norm( - x_4, - (40,), - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_, - item_1, - ) - x_4 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_1) = ( - None - ) - x_6 = x_5.permute(0, 3, 1, 2) - x_5 = None - x_7 = torch.conv2d( - x_6, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_6 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_8 = torch.nn.functional.gelu(x_7) - x_7 = None - item_2 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( - None - ) - x_9 = torch.nn.functional.dropout(x_8, item_2, False, False) - x_8 = item_2 = None - x_10 = torch.conv2d( - x_9, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_3 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( - None - ) - x_11 = torch.nn.functional.dropout(x_10, item_3, False, False) - x_10 = item_3 = None - reshape = l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_12 = x_11.mul(reshape) - x_11 = reshape = None - x_13 = x_12 + x_2 - x_12 = x_2 = None - x_14 = torch.conv2d( - x_13, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 40, - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_15 = x_14.permute(0, 2, 3, 1) - x_14 = None - item_4 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps = None - x_16 = torch.nn.functional.layer_norm( - x_15, - (40,), - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_, - item_4, - ) - x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_4) = ( - None - ) - x_17 = x_16.permute(0, 3, 1, 2) - x_16 = None - x_18 = torch.conv2d( - x_17, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_17 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_19 = torch.nn.functional.gelu(x_18) - x_18 = None - item_5 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( - None - ) - x_20 = torch.nn.functional.dropout(x_19, item_5, False, False) - x_19 = item_5 = None - x_21 = torch.conv2d( - x_20, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_20 = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_6 = ( - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( - None - ) - x_22 = torch.nn.functional.dropout(x_21, item_6, False, False) - x_21 = item_6 = None - reshape_1 = l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_23 = x_22.mul(reshape_1) - x_22 = reshape_1 = None - x_24 = x_23 + x_13 - x_23 = x_13 = None - x_25 = x_24.permute(0, 2, 3, 1) - x_24 = None - item_7 = l_self_modules_stages_modules_1_modules_downsample_modules_0_eps.item() - l_self_modules_stages_modules_1_modules_downsample_modules_0_eps = None - x_26 = torch.nn.functional.layer_norm( - x_25, - (40,), - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_, - item_7, - ) - x_25 = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_ = (item_7) = ( - None - ) - x_27 = x_26.permute(0, 3, 1, 2) - x_26 = None - input_2 = torch.conv2d( - x_27, - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_27 = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_ = (None) - x_28 = torch.conv2d( - input_2, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 80, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_29 = x_28.permute(0, 2, 3, 1) - x_28 = None - item_8 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps = None - x_30 = torch.nn.functional.layer_norm( - x_29, - (80,), - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_, - item_8, - ) - x_29 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_8) = ( - None - ) - x_31 = x_30.permute(0, 3, 1, 2) - x_30 = None - x_32 = torch.conv2d( - x_31, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_31 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_33 = torch.nn.functional.gelu(x_32) - x_32 = None - item_9 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( - None - ) - x_34 = torch.nn.functional.dropout(x_33, item_9, False, False) - x_33 = item_9 = None - x_35 = torch.conv2d( - x_34, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_34 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_10 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( - None - ) - x_36 = torch.nn.functional.dropout(x_35, item_10, False, False) - x_35 = item_10 = None - reshape_2 = l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_37 = x_36.mul(reshape_2) - x_36 = reshape_2 = None - x_38 = x_37 + input_2 - x_37 = input_2 = None - x_39 = torch.conv2d( - x_38, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 80, - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_40 = x_39.permute(0, 2, 3, 1) - x_39 = None - item_11 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps = None - x_41 = torch.nn.functional.layer_norm( - x_40, - (80,), - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_, - item_11, - ) - x_40 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_11) = ( - None - ) - x_42 = x_41.permute(0, 3, 1, 2) - x_41 = None - x_43 = torch.conv2d( - x_42, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_42 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_44 = torch.nn.functional.gelu(x_43) - x_43 = None - item_12 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( - None - ) - x_45 = torch.nn.functional.dropout(x_44, item_12, False, False) - x_44 = item_12 = None - x_46 = torch.conv2d( - x_45, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_13 = ( - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( - None - ) - x_47 = torch.nn.functional.dropout(x_46, item_13, False, False) - x_46 = item_13 = None - reshape_3 = l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_48 = x_47.mul(reshape_3) - x_47 = reshape_3 = None - x_49 = x_48 + x_38 - x_48 = x_38 = None - x_50 = x_49.permute(0, 2, 3, 1) - x_49 = None - item_14 = ( - l_self_modules_stages_modules_2_modules_downsample_modules_0_eps.item() - ) - l_self_modules_stages_modules_2_modules_downsample_modules_0_eps = None - x_51 = torch.nn.functional.layer_norm( - x_50, - (80,), - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_, - item_14, - ) - x_50 = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_ = (item_14) = ( - None - ) - x_52 = x_51.permute(0, 3, 1, 2) - x_51 = None - input_3 = torch.conv2d( - x_52, - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_52 = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_ = (None) - x_53 = torch.conv2d( - input_3, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_54 = x_53.permute(0, 2, 3, 1) - x_53 = None - item_15 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps = None - x_55 = torch.nn.functional.layer_norm( - x_54, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_, - item_15, - ) - x_54 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_15) = ( - None - ) - x_56 = x_55.permute(0, 3, 1, 2) - x_55 = None - x_57 = torch.conv2d( - x_56, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_56 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_58 = torch.nn.functional.gelu(x_57) - x_57 = None - item_16 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( - None - ) - x_59 = torch.nn.functional.dropout(x_58, item_16, False, False) - x_58 = item_16 = None - x_60 = torch.conv2d( - x_59, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_59 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_17 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( - None - ) - x_61 = torch.nn.functional.dropout(x_60, item_17, False, False) - x_60 = item_17 = None - reshape_4 = l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_62 = x_61.mul(reshape_4) - x_61 = reshape_4 = None - x_63 = x_62 + input_3 - x_62 = input_3 = None - x_64 = torch.conv2d( - x_63, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_65 = x_64.permute(0, 2, 3, 1) - x_64 = None - item_18 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps = None - x_66 = torch.nn.functional.layer_norm( - x_65, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_, - item_18, - ) - x_65 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_18) = ( - None - ) - x_67 = x_66.permute(0, 3, 1, 2) - x_66 = None - x_68 = torch.conv2d( - x_67, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_67 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_69 = torch.nn.functional.gelu(x_68) - x_68 = None - item_19 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( - None - ) - x_70 = torch.nn.functional.dropout(x_69, item_19, False, False) - x_69 = item_19 = None - x_71 = torch.conv2d( - x_70, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_70 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_20 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( - None - ) - x_72 = torch.nn.functional.dropout(x_71, item_20, False, False) - x_71 = item_20 = None - reshape_5 = l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_73 = x_72.mul(reshape_5) - x_72 = reshape_5 = None - x_74 = x_73 + x_63 - x_73 = x_63 = None - x_75 = torch.conv2d( - x_74, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_ = (None) - x_76 = x_75.permute(0, 2, 3, 1) - x_75 = None - item_21 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps = None - x_77 = torch.nn.functional.layer_norm( - x_76, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_, - item_21, - ) - x_76 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_ = (item_21) = ( - None - ) - x_78 = x_77.permute(0, 3, 1, 2) - x_77 = None - x_79 = torch.conv2d( - x_78, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_78 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_80 = torch.nn.functional.gelu(x_79) - x_79 = None - item_22 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p = ( - None - ) - x_81 = torch.nn.functional.dropout(x_80, item_22, False, False) - x_80 = item_22 = None - x_82 = torch.conv2d( - x_81, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_81 = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_23 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p = ( - None - ) - x_83 = torch.nn.functional.dropout(x_82, item_23, False, False) - x_82 = item_23 = None - reshape_6 = l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_ = ( - None - ) - x_84 = x_83.mul(reshape_6) - x_83 = reshape_6 = None - x_85 = x_84 + x_74 - x_84 = x_74 = None - x_86 = torch.conv2d( - x_85, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_ = (None) - x_87 = x_86.permute(0, 2, 3, 1) - x_86 = None - item_24 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps = None - x_88 = torch.nn.functional.layer_norm( - x_87, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_, - item_24, - ) - x_87 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_ = (item_24) = ( - None - ) - x_89 = x_88.permute(0, 3, 1, 2) - x_88 = None - x_90 = torch.conv2d( - x_89, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_89 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_91 = torch.nn.functional.gelu(x_90) - x_90 = None - item_25 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p = ( - None - ) - x_92 = torch.nn.functional.dropout(x_91, item_25, False, False) - x_91 = item_25 = None - x_93 = torch.conv2d( - x_92, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_92 = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_26 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p = ( - None - ) - x_94 = torch.nn.functional.dropout(x_93, item_26, False, False) - x_93 = item_26 = None - reshape_7 = l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_ = ( - None - ) - x_95 = x_94.mul(reshape_7) - x_94 = reshape_7 = None - x_96 = x_95 + x_85 - x_95 = x_85 = None - x_97 = torch.conv2d( - x_96, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_ = (None) - x_98 = x_97.permute(0, 2, 3, 1) - x_97 = None - item_27 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps = None - x_99 = torch.nn.functional.layer_norm( - x_98, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_, - item_27, - ) - x_98 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_ = (item_27) = ( - None - ) - x_100 = x_99.permute(0, 3, 1, 2) - x_99 = None - x_101 = torch.conv2d( - x_100, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_100 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_102 = torch.nn.functional.gelu(x_101) - x_101 = None - item_28 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p = ( - None - ) - x_103 = torch.nn.functional.dropout(x_102, item_28, False, False) - x_102 = item_28 = None - x_104 = torch.conv2d( - x_103, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_103 = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_29 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p = ( - None - ) - x_105 = torch.nn.functional.dropout(x_104, item_29, False, False) - x_104 = item_29 = None - reshape_8 = l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_ = ( - None - ) - x_106 = x_105.mul(reshape_8) - x_105 = reshape_8 = None - x_107 = x_106 + x_96 - x_106 = x_96 = None - x_108 = torch.conv2d( - x_107, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 160, - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_ = (None) - x_109 = x_108.permute(0, 2, 3, 1) - x_108 = None - item_30 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps = None - x_110 = torch.nn.functional.layer_norm( - x_109, - (160,), - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_, - item_30, - ) - x_109 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_ = (item_30) = ( - None - ) - x_111 = x_110.permute(0, 3, 1, 2) - x_110 = None - x_112 = torch.conv2d( - x_111, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_111 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_113 = torch.nn.functional.gelu(x_112) - x_112 = None - item_31 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p = ( - None - ) - x_114 = torch.nn.functional.dropout(x_113, item_31, False, False) - x_113 = item_31 = None - x_115 = torch.conv2d( - x_114, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_114 = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_32 = ( - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p = ( - None - ) - x_116 = torch.nn.functional.dropout(x_115, item_32, False, False) - x_115 = item_32 = None - reshape_9 = l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_ = ( - None - ) - x_117 = x_116.mul(reshape_9) - x_116 = reshape_9 = None - x_118 = x_117 + x_107 - x_117 = x_107 = None - x_119 = x_118.permute(0, 2, 3, 1) - x_118 = None - item_33 = ( - l_self_modules_stages_modules_3_modules_downsample_modules_0_eps.item() - ) - l_self_modules_stages_modules_3_modules_downsample_modules_0_eps = None - x_120 = torch.nn.functional.layer_norm( - x_119, - (160,), - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_, - item_33, - ) - x_119 = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_ = (item_33) = ( - None - ) - x_121 = x_120.permute(0, 3, 1, 2) - x_120 = None - input_4 = torch.conv2d( - x_121, - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_, - l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_, - (2, 2), - (0, 0), - (1, 1), - 1, - ) - x_121 = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_ = l_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_ = (None) - x_122 = torch.conv2d( - input_4, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 320, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_ = (None) - x_123 = x_122.permute(0, 2, 3, 1) - x_122 = None - item_34 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps = None - x_124 = torch.nn.functional.layer_norm( - x_123, - (320,), - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_, - item_34, - ) - x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_ = (item_34) = ( - None - ) - x_125 = x_124.permute(0, 3, 1, 2) - x_124 = None - x_126 = torch.conv2d( - x_125, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_125 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_127 = torch.nn.functional.gelu(x_126) - x_126 = None - item_35 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p = ( - None - ) - x_128 = torch.nn.functional.dropout(x_127, item_35, False, False) - x_127 = item_35 = None - x_129 = torch.conv2d( - x_128, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_128 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_36 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p = ( - None - ) - x_130 = torch.nn.functional.dropout(x_129, item_36, False, False) - x_129 = item_36 = None - reshape_10 = l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_ = ( - None - ) - x_131 = x_130.mul(reshape_10) - x_130 = reshape_10 = None - x_132 = x_131 + input_4 - x_131 = input_4 = None - x_133 = torch.conv2d( - x_132, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_, - (1, 1), - (3, 3), - (1, 1), - 320, - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_ = (None) - x_134 = x_133.permute(0, 2, 3, 1) - x_133 = None - item_37 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps = None - x_135 = torch.nn.functional.layer_norm( - x_134, - (320,), - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_, - item_37, - ) - x_134 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_ = (item_37) = ( - None - ) - x_136 = x_135.permute(0, 3, 1, 2) - x_135 = None - x_137 = torch.conv2d( - x_136, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_136 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_ = (None) - x_138 = torch.nn.functional.gelu(x_137) - x_137 = None - item_38 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p = ( - None - ) - x_139 = torch.nn.functional.dropout(x_138, item_38, False, False) - x_138 = item_38 = None - x_140 = torch.conv2d( - x_139, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_, - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_, - (1, 1), - (0, 0), - (1, 1), - 1, - ) - x_139 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_ = (None) - item_39 = ( - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p.item() - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p = ( - None - ) - x_141 = torch.nn.functional.dropout(x_140, item_39, False, False) - x_140 = item_39 = None - reshape_11 = l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_.reshape( - 1, -1, 1, 1 - ) - l_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_ = ( - None - ) - x_142 = x_141.mul(reshape_11) - x_141 = reshape_11 = None - x_143 = x_142 + x_132 - x_142 = x_132 = None - x_144 = torch.nn.functional.adaptive_avg_pool2d(x_143, 1) - x_143 = None - x_145 = x_144.permute(0, 2, 3, 1) - x_144 = None - item_40 = l_self_modules_head_modules_norm_eps.item() - l_self_modules_head_modules_norm_eps = None - x_146 = torch.nn.functional.layer_norm( - x_145, - (320,), - l_self_modules_head_modules_norm_parameters_weight_, - l_self_modules_head_modules_norm_parameters_bias_, - item_40, - ) - x_145 = ( - l_self_modules_head_modules_norm_parameters_weight_ - ) = l_self_modules_head_modules_norm_parameters_bias_ = item_40 = None - x_147 = x_146.permute(0, 3, 1, 2) - x_146 = None - x_148 = x_147.flatten(1, -1) - x_147 = None - item_41 = l_self_modules_head_modules_drop_p.item() - l_self_modules_head_modules_drop_p = None - x_149 = torch.nn.functional.dropout(x_148, item_41, False, False) - x_148 = item_41 = None - x_150 = torch.nn.functional.linear( - x_149, - l_self_modules_head_modules_fc_parameters_weight_, - l_self_modules_head_modules_fc_parameters_bias_, - ) - x_149 = ( - l_self_modules_head_modules_fc_parameters_weight_ - ) = l_self_modules_head_modules_fc_parameters_bias_ = None - return (x_150,) diff --git a/samples/timm_samples/convnext_atto/weight_meta.py b/samples/timm_samples/convnext_atto/weight_meta.py deleted file mode 100644 index 15c8d9170..000000000 --- a/samples/timm_samples/convnext_atto/weight_meta.py +++ /dev/null @@ -1,2345 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_weight_: - name = "L_self_modules_stem_modules_0_parameters_weight_" - shape = [40, 3, 4, 4] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.019 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_bias_: - name = "L_self_modules_stem_modules_0_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_s53: - name = "s53" - 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 = "cpu" - mean = 0.499 - std = 0.289 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_weight_: - name = "L_self_modules_stem_modules_1_parameters_weight_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = [ - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_bias_: - name = "L_self_modules_stem_modules_1_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stem_modules_1_eps: - name = "L_self_modules_stem_modules_1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [40, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = [ - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [160, 40, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [40, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_parameters_gamma_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [40, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = [ - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [160, 40, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [40, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_0_modules_blocks_modules_1_parameters_gamma_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - 0.000001, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_weight_" - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = [ - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - 1.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_1_modules_downsample_modules_0_parameters_bias_" - ) - shape = [40] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [ - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - 0.000000, - ] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_0_eps: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_0_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_weight_" - shape = [80, 40, 2, 2] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_1_modules_downsample_modules_1_parameters_bias_" - ) - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [80, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [320, 80, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [80, 320, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_parameters_gamma_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [80, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [320, 80, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [80, 320, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_1_modules_blocks_modules_1_parameters_gamma_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_weight_" - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_2_modules_downsample_modules_0_parameters_bias_" - ) - shape = [80] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_0_eps: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_0_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_weight_" - shape = [160, 80, 2, 2] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_2_modules_downsample_modules_1_parameters_bias_" - ) - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_2_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_3_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_4_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_weight_" - shape = [160, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_conv_dw_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_weight_" - shape = [640, 160, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc1_parameters_bias_" - shape = [640] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_weight_" - shape = [160, 640, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_fc2_parameters_bias_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_: - name = "L_self_modules_stages_modules_2_modules_blocks_modules_5_parameters_gamma_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_weight_" - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_: - name = ( - "L_self_modules_stages_modules_3_modules_downsample_modules_0_parameters_bias_" - ) - shape = [160] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_0_eps: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_0_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_weight_" - shape = [320, 160, 2, 2] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_: - name = ( - "L_self_modules_stages_modules_3_modules_downsample_modules_1_parameters_bias_" - ) - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_weight_" - shape = [320, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_dw_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_weight_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_weight_" - shape = [1280, 320, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc1_parameters_bias_" - shape = [1280] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_weight_" - shape = [320, 1280, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_fc2_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_parameters_gamma_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_weight_" - shape = [320, 1, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_dw_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_weight_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_weight_" - shape = [1280, 320, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc1_parameters_bias_" - shape = [1280] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop1_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_weight_" - shape = [320, 1280, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_fc2_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_mlp_modules_drop2_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_: - name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_parameters_gamma_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_weight_: - name = "L_self_modules_head_modules_norm_parameters_weight_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 1.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_norm_parameters_bias_: - name = "L_self_modules_head_modules_norm_parameters_bias_" - shape = [320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_norm_eps: - name = "L_self_modules_head_modules_norm_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000001] - - -class Program_weight_tensor_meta_L_self_modules_head_modules_drop_p: - name = "L_self_modules_head_modules_drop_p" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000000] - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_: - name = "L_self_modules_head_modules_fc_parameters_weight_" - shape = [1000, 320] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.020 - data = None - - -class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_: - name = "L_self_modules_head_modules_fc_parameters_bias_" - shape = [1000] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.000 - data = None diff --git a/samples/torch_samples/resnet18/graph_hash.txt b/samples/torch_samples/resnet18/graph_hash.txt deleted file mode 100644 index 1a18ceb0b..000000000 --- a/samples/torch_samples/resnet18/graph_hash.txt +++ /dev/null @@ -1 +0,0 @@ -12a36b53c4742d20089985ac096387bd94a4bf0df30a690a185b0014cf2cfde3 \ No newline at end of file diff --git a/samples/torch_samples/resnet18/input_meta.py b/samples/torch_samples/resnet18/input_meta.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torch_samples/resnet18/input_tensor_constraints.py b/samples/torch_samples/resnet18/input_tensor_constraints.py deleted file mode 100644 index e69de29bb..000000000 diff --git a/samples/torch_samples/resnet18/model.py b/samples/torch_samples/resnet18/model.py deleted file mode 100644 index 8aaae960e..000000000 --- a/samples/torch_samples/resnet18/model.py +++ /dev/null @@ -1,261 +0,0 @@ -import torch - -class GraphModule(torch.nn.Module): - - - - def forward(self, L_self_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, s53 : torch.SymInt, L_x_ : torch.Tensor, L_self_modules_bn1_momentum : torch.Tensor, L_self_modules_bn1_buffers_running_mean_ : torch.Tensor, L_self_modules_bn1_buffers_running_var_ : torch.Tensor, L_self_modules_bn1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_bn1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ : torch.Tensor, 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_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_bn1_momentum : torch.Tensor, 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_bn1_eps : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_bn2_momentum : torch.Tensor, 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_bn2_eps : torch.Tensor, L_self_modules_fc_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_bias_ : torch.nn.parameter.Parameter): - l_self_modules_conv1_parameters_weight_ = L_self_modules_conv1_parameters_weight_ - l_x_ = L_x_ - l_self_modules_bn1_momentum = L_self_modules_bn1_momentum - 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_bn1_eps = L_self_modules_bn1_eps - 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_momentum = L_self_modules_layer1_modules_0_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer1_modules_0_modules_bn1_eps - 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_momentum = L_self_modules_layer1_modules_0_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer1_modules_0_modules_bn2_eps - 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_momentum = L_self_modules_layer1_modules_1_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer1_modules_1_modules_bn1_eps - 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_momentum = L_self_modules_layer1_modules_1_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer1_modules_1_modules_bn2_eps - 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_momentum = L_self_modules_layer2_modules_0_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer2_modules_0_modules_bn1_eps - 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_momentum = L_self_modules_layer2_modules_0_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer2_modules_0_modules_bn2_eps - l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ - 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_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps - 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_momentum = L_self_modules_layer2_modules_1_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer2_modules_1_modules_bn1_eps - 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_momentum = L_self_modules_layer2_modules_1_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer2_modules_1_modules_bn2_eps - 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_momentum = L_self_modules_layer3_modules_0_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer3_modules_0_modules_bn1_eps - 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_momentum = L_self_modules_layer3_modules_0_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer3_modules_0_modules_bn2_eps - l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ - 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_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps - 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_momentum = L_self_modules_layer3_modules_1_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer3_modules_1_modules_bn1_eps - 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_momentum = L_self_modules_layer3_modules_1_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer3_modules_1_modules_bn2_eps - 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_momentum = L_self_modules_layer4_modules_0_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer4_modules_0_modules_bn1_eps - 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_momentum = L_self_modules_layer4_modules_0_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer4_modules_0_modules_bn2_eps - l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum = L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ - 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_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ - l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps = L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps - 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_momentum = L_self_modules_layer4_modules_1_modules_bn1_momentum - 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_bn1_eps = L_self_modules_layer4_modules_1_modules_bn1_eps - 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_momentum = L_self_modules_layer4_modules_1_modules_bn2_momentum - 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_bn2_eps = L_self_modules_layer4_modules_1_modules_bn2_eps - l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ - l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - x = torch.conv2d(l_x_, l_self_modules_conv1_parameters_weight_, None, (2, 2), (3, 3), (1, 1), 1); l_x_ = l_self_modules_conv1_parameters_weight_ = None - item = l_self_modules_bn1_momentum.item(); l_self_modules_bn1_momentum = None - item_1 = l_self_modules_bn1_eps.item(); l_self_modules_bn1_eps = None - x_1 = torch.nn.functional.batch_norm(x, l_self_modules_bn1_buffers_running_mean_, l_self_modules_bn1_buffers_running_var_, l_self_modules_bn1_parameters_weight_, l_self_modules_bn1_parameters_bias_, False, item, item_1); x = l_self_modules_bn1_buffers_running_mean_ = l_self_modules_bn1_buffers_running_var_ = l_self_modules_bn1_parameters_weight_ = l_self_modules_bn1_parameters_bias_ = item = item_1 = None - x_2 = torch.nn.functional.relu(x_1, inplace = True); x_1 = None - x_3 = torch.nn.functional.max_pool2d(x_2, 3, 2, 1, 1, ceil_mode = False, return_indices = False); x_2 = None - out = torch.conv2d(x_3, l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer1_modules_0_modules_conv1_parameters_weight_ = None - item_2 = l_self_modules_layer1_modules_0_modules_bn1_momentum.item(); l_self_modules_layer1_modules_0_modules_bn1_momentum = None - item_3 = l_self_modules_layer1_modules_0_modules_bn1_eps.item(); l_self_modules_layer1_modules_0_modules_bn1_eps = None - out_1 = torch.nn.functional.batch_norm(out, 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, item_2, item_3); out = 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_ = item_2 = item_3 = None - out_2 = torch.nn.functional.relu(out_1, inplace = True); out_1 = None - out_3 = torch.conv2d(out_2, l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_2 = l_self_modules_layer1_modules_0_modules_conv2_parameters_weight_ = None - item_4 = l_self_modules_layer1_modules_0_modules_bn2_momentum.item(); l_self_modules_layer1_modules_0_modules_bn2_momentum = None - item_5 = l_self_modules_layer1_modules_0_modules_bn2_eps.item(); l_self_modules_layer1_modules_0_modules_bn2_eps = None - out_4 = torch.nn.functional.batch_norm(out_3, 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, item_4, item_5); out_3 = 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_ = item_4 = item_5 = None - out_4 += x_3; out_5 = out_4; out_4 = x_3 = None - out_6 = torch.nn.functional.relu(out_5, inplace = True); out_5 = None - out_7 = torch.conv2d(out_6, l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer1_modules_1_modules_conv1_parameters_weight_ = None - item_6 = l_self_modules_layer1_modules_1_modules_bn1_momentum.item(); l_self_modules_layer1_modules_1_modules_bn1_momentum = None - item_7 = l_self_modules_layer1_modules_1_modules_bn1_eps.item(); l_self_modules_layer1_modules_1_modules_bn1_eps = None - out_8 = torch.nn.functional.batch_norm(out_7, 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, item_6, item_7); out_7 = 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_ = item_6 = item_7 = None - out_9 = torch.nn.functional.relu(out_8, inplace = True); out_8 = None - out_10 = torch.conv2d(out_9, l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_9 = l_self_modules_layer1_modules_1_modules_conv2_parameters_weight_ = None - item_8 = l_self_modules_layer1_modules_1_modules_bn2_momentum.item(); l_self_modules_layer1_modules_1_modules_bn2_momentum = None - item_9 = l_self_modules_layer1_modules_1_modules_bn2_eps.item(); l_self_modules_layer1_modules_1_modules_bn2_eps = None - out_11 = torch.nn.functional.batch_norm(out_10, 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, item_8, item_9); out_10 = 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_ = item_8 = item_9 = None - out_11 += out_6; out_12 = out_11; out_11 = out_6 = None - out_13 = torch.nn.functional.relu(out_12, inplace = True); out_12 = None - out_14 = torch.conv2d(out_13, l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer2_modules_0_modules_conv1_parameters_weight_ = None - item_10 = l_self_modules_layer2_modules_0_modules_bn1_momentum.item(); l_self_modules_layer2_modules_0_modules_bn1_momentum = None - item_11 = l_self_modules_layer2_modules_0_modules_bn1_eps.item(); l_self_modules_layer2_modules_0_modules_bn1_eps = None - out_15 = torch.nn.functional.batch_norm(out_14, 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, item_10, item_11); out_14 = 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_ = item_10 = item_11 = None - out_16 = torch.nn.functional.relu(out_15, inplace = True); out_15 = None - out_17 = torch.conv2d(out_16, l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_16 = l_self_modules_layer2_modules_0_modules_conv2_parameters_weight_ = None - item_12 = l_self_modules_layer2_modules_0_modules_bn2_momentum.item(); l_self_modules_layer2_modules_0_modules_bn2_momentum = None - item_13 = l_self_modules_layer2_modules_0_modules_bn2_eps.item(); l_self_modules_layer2_modules_0_modules_bn2_eps = None - out_18 = torch.nn.functional.batch_norm(out_17, 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, item_12, item_13); out_17 = 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_ = item_12 = item_13 = None - input_1 = torch.conv2d(out_13, l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_13 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = None - item_14 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum = None - item_15 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer2_modules_0_modules_downsample_modules_1_eps = None - input_2 = torch.nn.functional.batch_norm(input_1, l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_14, item_15); input_1 = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_ = item_14 = item_15 = None - out_18 += input_2; out_19 = out_18; out_18 = input_2 = None - out_20 = torch.nn.functional.relu(out_19, inplace = True); out_19 = None - out_21 = torch.conv2d(out_20, l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer2_modules_1_modules_conv1_parameters_weight_ = None - item_16 = l_self_modules_layer2_modules_1_modules_bn1_momentum.item(); l_self_modules_layer2_modules_1_modules_bn1_momentum = None - item_17 = l_self_modules_layer2_modules_1_modules_bn1_eps.item(); l_self_modules_layer2_modules_1_modules_bn1_eps = None - out_22 = torch.nn.functional.batch_norm(out_21, 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, item_16, item_17); out_21 = 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_ = item_16 = item_17 = None - out_23 = torch.nn.functional.relu(out_22, inplace = True); out_22 = None - out_24 = torch.conv2d(out_23, l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_23 = l_self_modules_layer2_modules_1_modules_conv2_parameters_weight_ = None - item_18 = l_self_modules_layer2_modules_1_modules_bn2_momentum.item(); l_self_modules_layer2_modules_1_modules_bn2_momentum = None - item_19 = l_self_modules_layer2_modules_1_modules_bn2_eps.item(); l_self_modules_layer2_modules_1_modules_bn2_eps = None - out_25 = torch.nn.functional.batch_norm(out_24, 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, item_18, item_19); out_24 = 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_ = item_18 = item_19 = None - out_25 += out_20; out_26 = out_25; out_25 = out_20 = None - out_27 = torch.nn.functional.relu(out_26, inplace = True); out_26 = None - out_28 = torch.conv2d(out_27, l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer3_modules_0_modules_conv1_parameters_weight_ = None - item_20 = l_self_modules_layer3_modules_0_modules_bn1_momentum.item(); l_self_modules_layer3_modules_0_modules_bn1_momentum = None - item_21 = l_self_modules_layer3_modules_0_modules_bn1_eps.item(); l_self_modules_layer3_modules_0_modules_bn1_eps = None - out_29 = torch.nn.functional.batch_norm(out_28, 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, item_20, item_21); out_28 = 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_ = item_20 = item_21 = None - out_30 = torch.nn.functional.relu(out_29, inplace = True); out_29 = None - out_31 = torch.conv2d(out_30, l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_30 = l_self_modules_layer3_modules_0_modules_conv2_parameters_weight_ = None - item_22 = l_self_modules_layer3_modules_0_modules_bn2_momentum.item(); l_self_modules_layer3_modules_0_modules_bn2_momentum = None - item_23 = l_self_modules_layer3_modules_0_modules_bn2_eps.item(); l_self_modules_layer3_modules_0_modules_bn2_eps = None - out_32 = torch.nn.functional.batch_norm(out_31, 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, item_22, item_23); out_31 = 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_ = item_22 = item_23 = None - input_3 = torch.conv2d(out_27, l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_27 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = None - item_24 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum = None - item_25 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer3_modules_0_modules_downsample_modules_1_eps = None - input_4 = torch.nn.functional.batch_norm(input_3, l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_24, item_25); input_3 = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_ = item_24 = item_25 = None - out_32 += input_4; out_33 = out_32; out_32 = input_4 = None - out_34 = torch.nn.functional.relu(out_33, inplace = True); out_33 = None - out_35 = torch.conv2d(out_34, l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer3_modules_1_modules_conv1_parameters_weight_ = None - item_26 = l_self_modules_layer3_modules_1_modules_bn1_momentum.item(); l_self_modules_layer3_modules_1_modules_bn1_momentum = None - item_27 = l_self_modules_layer3_modules_1_modules_bn1_eps.item(); l_self_modules_layer3_modules_1_modules_bn1_eps = None - out_36 = torch.nn.functional.batch_norm(out_35, 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, item_26, item_27); out_35 = 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_ = item_26 = item_27 = None - out_37 = torch.nn.functional.relu(out_36, inplace = True); out_36 = None - out_38 = torch.conv2d(out_37, l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_37 = l_self_modules_layer3_modules_1_modules_conv2_parameters_weight_ = None - item_28 = l_self_modules_layer3_modules_1_modules_bn2_momentum.item(); l_self_modules_layer3_modules_1_modules_bn2_momentum = None - item_29 = l_self_modules_layer3_modules_1_modules_bn2_eps.item(); l_self_modules_layer3_modules_1_modules_bn2_eps = None - out_39 = torch.nn.functional.batch_norm(out_38, 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, item_28, item_29); out_38 = 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_ = item_28 = item_29 = None - out_39 += out_34; out_40 = out_39; out_39 = out_34 = None - out_41 = torch.nn.functional.relu(out_40, inplace = True); out_40 = None - out_42 = torch.conv2d(out_41, l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_, None, (2, 2), (1, 1), (1, 1), 1); l_self_modules_layer4_modules_0_modules_conv1_parameters_weight_ = None - item_30 = l_self_modules_layer4_modules_0_modules_bn1_momentum.item(); l_self_modules_layer4_modules_0_modules_bn1_momentum = None - item_31 = l_self_modules_layer4_modules_0_modules_bn1_eps.item(); l_self_modules_layer4_modules_0_modules_bn1_eps = None - out_43 = torch.nn.functional.batch_norm(out_42, 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, item_30, item_31); out_42 = 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_ = item_30 = item_31 = None - out_44 = torch.nn.functional.relu(out_43, inplace = True); out_43 = None - out_45 = torch.conv2d(out_44, l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_44 = l_self_modules_layer4_modules_0_modules_conv2_parameters_weight_ = None - item_32 = l_self_modules_layer4_modules_0_modules_bn2_momentum.item(); l_self_modules_layer4_modules_0_modules_bn2_momentum = None - item_33 = l_self_modules_layer4_modules_0_modules_bn2_eps.item(); l_self_modules_layer4_modules_0_modules_bn2_eps = None - out_46 = torch.nn.functional.batch_norm(out_45, 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, item_32, item_33); out_45 = 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_ = item_32 = item_33 = None - input_5 = torch.conv2d(out_41, l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, None, (2, 2), (0, 0), (1, 1), 1); out_41 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = None - item_34 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum.item(); l_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum = None - item_35 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps.item(); l_self_modules_layer4_modules_0_modules_downsample_modules_1_eps = None - input_6 = torch.nn.functional.batch_norm(input_5, l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_, False, item_34, item_35); input_5 = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_ = item_34 = item_35 = None - out_46 += input_6; out_47 = out_46; out_46 = input_6 = None - out_48 = torch.nn.functional.relu(out_47, inplace = True); out_47 = None - out_49 = torch.conv2d(out_48, l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); l_self_modules_layer4_modules_1_modules_conv1_parameters_weight_ = None - item_36 = l_self_modules_layer4_modules_1_modules_bn1_momentum.item(); l_self_modules_layer4_modules_1_modules_bn1_momentum = None - item_37 = l_self_modules_layer4_modules_1_modules_bn1_eps.item(); l_self_modules_layer4_modules_1_modules_bn1_eps = None - out_50 = torch.nn.functional.batch_norm(out_49, 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, item_36, item_37); out_49 = 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_ = item_36 = item_37 = None - out_51 = torch.nn.functional.relu(out_50, inplace = True); out_50 = None - out_52 = torch.conv2d(out_51, l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_, None, (1, 1), (1, 1), (1, 1), 1); out_51 = l_self_modules_layer4_modules_1_modules_conv2_parameters_weight_ = None - item_38 = l_self_modules_layer4_modules_1_modules_bn2_momentum.item(); l_self_modules_layer4_modules_1_modules_bn2_momentum = None - item_39 = l_self_modules_layer4_modules_1_modules_bn2_eps.item(); l_self_modules_layer4_modules_1_modules_bn2_eps = None - out_53 = torch.nn.functional.batch_norm(out_52, 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, item_38, item_39); out_52 = 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_ = item_38 = item_39 = None - out_53 += out_48; out_54 = out_53; out_53 = out_48 = None - out_55 = torch.nn.functional.relu(out_54, inplace = True); out_54 = None - x_4 = torch.nn.functional.adaptive_avg_pool2d(out_55, (1, 1)); out_55 = None - x_5 = torch.flatten(x_4, 1); x_4 = None - x_6 = torch.nn.functional.linear(x_5, l_self_modules_fc_parameters_weight_, l_self_modules_fc_parameters_bias_); x_5 = l_self_modules_fc_parameters_weight_ = l_self_modules_fc_parameters_bias_ = None - return (x_6,) - \ No newline at end of file diff --git a/samples/torch_samples/resnet18/weight_meta.py b/samples/torch_samples/resnet18/weight_meta.py deleted file mode 100644 index a60920030..000000000 --- a/samples/torch_samples/resnet18/weight_meta.py +++ /dev/null @@ -1,1295 +0,0 @@ -class Program_weight_tensor_meta_L_self_modules_conv1_parameters_weight_: - name = "L_self_modules_conv1_parameters_weight_" - shape = [64, 3, 7, 7] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.130 - data = None - -class Program_weight_tensor_meta_s53: - name = "s53" - 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 = "cpu" - mean = 0.499 - std = 0.288 - data = None - -class Program_weight_tensor_meta_L_self_modules_bn1_momentum: - name = "L_self_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = 0.001 - std = 0.049 - 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 = "cpu" - mean = 3.020 - std = 2.947 - 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 = "cpu" - mean = 0.258 - std = 0.123 - 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 = "cpu" - mean = 0.181 - std = 0.299 - data = None - -class Program_weight_tensor_meta_L_self_modules_bn1_eps: - name = "L_self_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.053 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_momentum: - name = "L_self_modules_layer1_modules_0_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.905 - std = 0.894 - 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 = "cpu" - mean = 0.532 - std = 0.388 - 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 = "cpu" - mean = 0.340 - std = 0.125 - 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 = "cpu" - mean = -0.034 - std = 0.210 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn1_eps: - name = "L_self_modules_layer1_modules_0_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.045 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_momentum: - name = "L_self_modules_layer1_modules_0_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.065 - std = 0.246 - 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 = "cpu" - mean = 0.094 - std = 0.062 - 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 = "cpu" - mean = 0.333 - std = 0.122 - 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 = "cpu" - mean = 0.003 - std = 0.201 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_bn2_eps: - name = "L_self_modules_layer1_modules_0_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 64, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.051 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_momentum: - name = "L_self_modules_layer1_modules_1_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.617 - std = 0.859 - 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 = "cpu" - mean = 0.436 - std = 0.177 - 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 = "cpu" - mean = 0.329 - std = 0.071 - 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 = "cpu" - mean = -0.084 - std = 0.166 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn1_eps: - name = "L_self_modules_layer1_modules_1_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.044 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_momentum: - name = "L_self_modules_layer1_modules_1_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.049 - std = 0.213 - 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 = "cpu" - mean = 0.053 - std = 0.021 - 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 = "cpu" - mean = 0.392 - std = 0.160 - 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 = "cpu" - mean = -0.030 - std = 0.154 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_bn2_eps: - name = "L_self_modules_layer1_modules_1_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 64, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.042 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_momentum: - name = "L_self_modules_layer2_modules_0_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.294 - std = 0.439 - 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 = "cpu" - mean = 0.645 - std = 0.172 - 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 = "cpu" - mean = 0.316 - std = 0.041 - 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 = "cpu" - mean = -0.067 - std = 0.109 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn1_eps: - name = "L_self_modules_layer2_modules_0_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.034 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_momentum: - name = "L_self_modules_layer2_modules_0_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.199 - std = 0.240 - 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 = "cpu" - mean = 0.075 - std = 0.041 - 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 = "cpu" - mean = 0.328 - std = 0.111 - 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 = "cpu" - mean = -0.004 - std = 0.090 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_bn2_eps: - name = "L_self_modules_layer2_modules_0_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [128, 64, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.003 - std = 0.071 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.066 - std = 0.308 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = 0.073 - std = 0.053 - 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 = [128] - dtype = "torch.float32" - device = "cpu" - mean = 0.195 - std = 0.102 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cpu" - mean = -0.004 - std = 0.090 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps: - name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.034 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_momentum: - name = "L_self_modules_layer2_modules_1_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.295 - std = 0.331 - 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 = "cpu" - mean = 0.225 - std = 0.076 - 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 = "cpu" - mean = 0.321 - std = 0.048 - 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 = "cpu" - mean = -0.210 - std = 0.101 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn1_eps: - name = "L_self_modules_layer2_modules_1_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.030 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_momentum: - name = "L_self_modules_layer2_modules_1_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.060 - std = 0.129 - 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 = "cpu" - mean = 0.033 - std = 0.013 - 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 = "cpu" - mean = 0.283 - std = 0.125 - 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 = "cpu" - mean = -0.151 - std = 0.138 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_bn2_eps: - name = "L_self_modules_layer2_modules_1_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 128, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.029 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_momentum: - name = "L_self_modules_layer3_modules_0_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.325 - std = 0.328 - 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 = "cpu" - mean = 0.253 - std = 0.093 - 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 = "cpu" - mean = 0.312 - std = 0.041 - 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 = "cpu" - mean = -0.115 - std = 0.093 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn1_eps: - name = "L_self_modules_layer3_modules_0_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.025 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_momentum: - name = "L_self_modules_layer3_modules_0_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.125 - std = 0.155 - 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 = "cpu" - mean = 0.103 - std = 0.042 - 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 = "cpu" - mean = 0.320 - std = 0.076 - 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 = "cpu" - mean = -0.031 - std = 0.089 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_bn2_eps: - name = "L_self_modules_layer3_modules_0_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [256, 128, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.033 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.047 - std = 0.085 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.014 - std = 0.007 - 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 = [256] - dtype = "torch.float32" - device = "cpu" - mean = 0.082 - std = 0.040 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cpu" - mean = -0.031 - std = 0.089 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps: - name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.022 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_momentum: - name = "L_self_modules_layer3_modules_1_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.390 - std = 0.337 - 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 = "cpu" - mean = 0.149 - std = 0.048 - 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 = "cpu" - mean = 0.278 - std = 0.055 - 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 = "cpu" - mean = -0.237 - std = 0.120 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn1_eps: - name = "L_self_modules_layer3_modules_1_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.021 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_momentum: - name = "L_self_modules_layer3_modules_1_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.083 - std = 0.100 - 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 = "cpu" - mean = 0.020 - std = 0.010 - 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 = "cpu" - mean = 0.246 - std = 0.121 - 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 = "cpu" - mean = -0.164 - std = 0.149 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_bn2_eps: - name = "L_self_modules_layer3_modules_1_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 256, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.020 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_momentum: - name = "L_self_modules_layer4_modules_0_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.409 - std = 0.247 - 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 = "cpu" - mean = 0.129 - std = 0.031 - 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 = "cpu" - mean = 0.264 - std = 0.036 - 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 = "cpu" - mean = -0.226 - std = 0.079 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn1_eps: - name = "L_self_modules_layer4_modules_0_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.001 - std = 0.017 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_momentum: - name = "L_self_modules_layer4_modules_0_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.143 - std = 0.064 - 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 = "cpu" - mean = 0.022 - std = 0.008 - 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 = "cpu" - mean = 0.424 - std = 0.068 - 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 = "cpu" - mean = -0.198 - std = 0.065 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_bn2_eps: - name = "L_self_modules_layer4_modules_0_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" - shape = [512, 256, 1, 1] - dtype = "torch.float32" - device = "cpu" - mean = -0.001 - std = 0.033 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.045 - std = 0.078 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.020 - std = 0.009 - 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 = [512] - dtype = "torch.float32" - device = "cpu" - mean = 0.251 - std = 0.077 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cpu" - mean = -0.198 - std = 0.065 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps: - name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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, 512, 3, 3] - dtype = "torch.float32" - device = "cpu" - mean = -0.002 - std = 0.018 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_momentum: - name = "L_self_modules_layer4_modules_1_modules_bn1_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.595 - std = 0.138 - 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 = "cpu" - mean = 0.138 - std = 0.024 - 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 = "cpu" - mean = 0.289 - std = 0.050 - 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 = "cpu" - mean = -0.242 - std = 0.106 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn1_eps: - name = "L_self_modules_layer4_modules_1_modules_bn1_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -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 = "cpu" - mean = -0.000 - std = 0.013 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_momentum: - name = "L_self_modules_layer4_modules_1_modules_bn2_momentum" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.100 - std = 0.000 - data = [0.100000] - -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 = "cpu" - mean = -0.031 - std = 0.020 - 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 = "cpu" - mean = 0.013 - std = 0.002 - 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 = "cpu" - mean = 1.854 - std = 0.107 - 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 = "cpu" - mean = 0.274 - std = 0.082 - data = None - -class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_bn2_eps: - name = "L_self_modules_layer4_modules_1_modules_bn2_eps" - shape = [] - dtype = "torch.float64" - device = "cpu" - mean = 0.000 - std = 0.000 - data = [0.000010] - -class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [1000, 512] - dtype = "torch.float32" - device = "cpu" - mean = 0.000 - std = 0.069 - 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 = "cpu" - mean = -0.000 - std = 0.016 - data = None