From 3fefba5c5e194e50558c6667fc83ead7701ca8e9 Mon Sep 17 00:00:00 2001 From: SidusAntares <2934978005@qq.com> Date: Tue, 24 Feb 2026 23:24:51 +0800 Subject: [PATCH 1/4] add mc3_18 --- graph_net/test/vision_model_video_test.py | 71 ++ samples/torchvision/mc3_18/graph_net.json | 7 + samples/torchvision/mc3_18/input_meta.py | 0 .../mc3_18/input_tensor_constraints.py | 0 samples/torchvision/mc3_18/model.py | 180 ++++ samples/torchvision/mc3_18/weight_meta.py | 944 ++++++++++++++++++ 6 files changed, 1202 insertions(+) create mode 100644 graph_net/test/vision_model_video_test.py create mode 100644 samples/torchvision/mc3_18/graph_net.json create mode 100644 samples/torchvision/mc3_18/input_meta.py create mode 100644 samples/torchvision/mc3_18/input_tensor_constraints.py create mode 100644 samples/torchvision/mc3_18/model.py create mode 100644 samples/torchvision/mc3_18/weight_meta.py diff --git a/graph_net/test/vision_model_video_test.py b/graph_net/test/vision_model_video_test.py new file mode 100644 index 000000000..1ceb51222 --- /dev/null +++ b/graph_net/test/vision_model_video_test.py @@ -0,0 +1,71 @@ +import argparse +import os +import torch +import torchvision +from torchvision import transforms +import graph_net +import importlib + + +def load_video_model(model_name): + """ + 动态加载视频模型，兼容不同版本的 torchvision + """ + video_module = importlib.import_module("torchvision.models.video") + if hasattr(video_module, model_name): + model_builder = getattr(video_module, model_name) + if isinstance(model_builder, type): + try: + weights_enum = getattr(torchvision.models.video, f"{model_name.upper()}_WEIGHTS", None) + if weights_enum and hasattr(weights_enum, "DEFAULT"): + return model_builder(weights=weights_enum.DEFAULT) + else: + return model_builder(pretrained=True) + except Exception as e: + print(f"Initialize randomly") + return model_builder() + else: + # 如果是函数，直接调用 + return model_builder(pretrained=True) + + + raise ValueError(f"Not found: {model_name}") + + +def extract_visio_graph(model_name, model_path): + model = load_video_model(model_path) + model.eval() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + model.to(device) + + batch_size, channels, frames, height, width = 1, 3, 16, 224, 224 + random_input = torch.rand(batch_size, channels, frames, height, width) + mean = torch.tensor([0.43216, 0.394666, 0.37645]).view(1, channels, 1, 1, 1) + std = torch.tensor([0.22803, 0.22145, 0.216989]).view(1, channels, 1, 1, 1) + normalized_input = (random_input - mean) / std + + normalized_input = normalized_input.to(device) + + model = graph_net.torch.extract(name=model_name, dynamic=True)(model) + + print("Running inference...") + print("Input shape:", normalized_input.shape) + + output = model(normalized_input) + + + +if __name__ == "__main__": + workspace_default = os.environ.get("GRAPH_NET_EXTRACT_WORKSPACE", "../../workspace") + + parser = argparse.ArgumentParser() + parser.add_argument("--model_name", type=str, default="mc3_18") + parser.add_argument("--model_path", type=str, default="mc3_18") + parser.add_argument("--workspace", type=str, default=workspace_default) + parser.add_argument("--dynamic", type=bool, default=True) + args = parser.parse_args() + + os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = args.workspace + + extract_visio_graph(args.model_name, args.model_path) \ No newline at end of file diff --git a/samples/torchvision/mc3_18/graph_net.json b/samples/torchvision/mc3_18/graph_net.json new file mode 100644 index 000000000..00b343099 --- /dev/null +++ b/samples/torchvision/mc3_18/graph_net.json @@ -0,0 +1,7 @@ +{ + "framework": "torch", + "num_devices_required": 1, + "num_nodes_required": 1, + "dynamic": true, + "model_name": "mc3_18" +} \ No newline at end of file diff --git a/samples/torchvision/mc3_18/input_meta.py b/samples/torchvision/mc3_18/input_meta.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/torchvision/mc3_18/input_tensor_constraints.py b/samples/torchvision/mc3_18/input_tensor_constraints.py new file mode 100644 index 000000000..e69de29bb diff --git a/samples/torchvision/mc3_18/model.py b/samples/torchvision/mc3_18/model.py new file mode 100644 index 000000000..6437574e6 --- /dev/null +++ b/samples/torchvision/mc3_18/model.py @@ -0,0 +1,180 @@ +import torch + +class GraphModule(torch.nn.Module): + + + + def forward(self, L_self_modules_stem_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, s1 : torch.SymInt, s2 : torch.SymInt, L_x_ : torch.Tensor, L_self_modules_stem_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_stem_modules_1_buffers_running_var_ : 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_bias_ : torch.nn.parameter.Parameter): + l_self_modules_stem_modules_0_parameters_weight_ = L_self_modules_stem_modules_0_parameters_weight_ + l_x_ = L_x_ + l_self_modules_stem_modules_1_buffers_running_mean_ = L_self_modules_stem_modules_1_buffers_running_mean_ + l_self_modules_stem_modules_1_buffers_running_var_ = L_self_modules_stem_modules_1_buffers_running_var_ + 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ + 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ + 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ + 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ + l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ + l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ + l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ + input_1 = torch.conv3d(l_x_, l_self_modules_stem_modules_0_parameters_weight_, None, (1, 2, 2), (1, 3, 3), (1, 1, 1), 1); l_x_ = l_self_modules_stem_modules_0_parameters_weight_ = None + input_2 = torch.nn.functional.batch_norm(input_1, l_self_modules_stem_modules_1_buffers_running_mean_, l_self_modules_stem_modules_1_buffers_running_var_, l_self_modules_stem_modules_1_parameters_weight_, l_self_modules_stem_modules_1_parameters_bias_, False, 0.1, 1e-05); input_1 = l_self_modules_stem_modules_1_buffers_running_mean_ = l_self_modules_stem_modules_1_buffers_running_var_ = l_self_modules_stem_modules_1_parameters_weight_ = l_self_modules_stem_modules_1_parameters_bias_ = None + input_3 = torch.nn.functional.relu(input_2, inplace = True); input_2 = None + input_4 = torch.conv3d(input_3, l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = None + input_5 = torch.nn.functional.batch_norm(input_4, l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_4 = l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ = None + input_6 = torch.nn.functional.relu(input_5, inplace = True); input_5 = None + input_7 = torch.conv3d(input_6, l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); input_6 = l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ = None + input_8 = torch.nn.functional.batch_norm(input_7, l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_7 = l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ = None + input_8 += input_3; out = input_8; input_8 = input_3 = None + out_1 = torch.nn.functional.relu(out, inplace = True); out = None + input_9 = torch.conv3d(out_1, l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = None + input_10 = torch.nn.functional.batch_norm(input_9, l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_9 = l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ = None + input_11 = torch.nn.functional.relu(input_10, inplace = True); input_10 = None + input_12 = torch.conv3d(input_11, l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); input_11 = l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ = None + input_13 = torch.nn.functional.batch_norm(input_12, l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_12 = l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ = None + input_13 += out_1; out_2 = input_13; input_13 = out_1 = None + out_3 = torch.nn.functional.relu(out_2, inplace = True); out_2 = None + input_14 = torch.conv3d(out_3, l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = None + input_15 = torch.nn.functional.batch_norm(input_14, l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_14 = l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ = None + input_16 = torch.nn.functional.relu(input_15, inplace = True); input_15 = None + input_17 = torch.conv3d(input_16, l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_16 = l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ = None + input_18 = torch.nn.functional.batch_norm(input_17, l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_17 = l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ = None + input_19 = torch.conv3d(out_3, l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = None + input_20 = torch.nn.functional.batch_norm(input_19, 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, 0.1, 1e-05); input_19 = 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_ = None + input_18 += input_20; out_4 = input_18; input_18 = input_20 = None + out_5 = torch.nn.functional.relu(out_4, inplace = True); out_4 = None + input_21 = torch.conv3d(out_5, l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ = None + input_22 = torch.nn.functional.batch_norm(input_21, l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_21 = l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ = None + input_23 = torch.nn.functional.relu(input_22, inplace = True); input_22 = None + input_24 = torch.conv3d(input_23, l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_23 = l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ = None + input_25 = torch.nn.functional.batch_norm(input_24, l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_24 = l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ = None + input_25 += out_5; out_6 = input_25; input_25 = out_5 = None + out_7 = torch.nn.functional.relu(out_6, inplace = True); out_6 = None + input_26 = torch.conv3d(out_7, l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = None + input_27 = torch.nn.functional.batch_norm(input_26, l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_26 = l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ = None + input_28 = torch.nn.functional.relu(input_27, inplace = True); input_27 = None + input_29 = torch.conv3d(input_28, l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_28 = l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ = None + input_30 = torch.nn.functional.batch_norm(input_29, l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_29 = l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ = None + input_31 = torch.conv3d(out_7, l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_7 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = None + input_32 = torch.nn.functional.batch_norm(input_31, 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, 0.1, 1e-05); input_31 = 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_ = None + input_30 += input_32; out_8 = input_30; input_30 = input_32 = None + out_9 = torch.nn.functional.relu(out_8, inplace = True); out_8 = None + input_33 = torch.conv3d(out_9, l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ = None + input_34 = torch.nn.functional.batch_norm(input_33, l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_33 = l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ = None + input_35 = torch.nn.functional.relu(input_34, inplace = True); input_34 = None + input_36 = torch.conv3d(input_35, l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_35 = l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ = None + input_37 = torch.nn.functional.batch_norm(input_36, l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_36 = l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ = None + input_37 += out_9; out_10 = input_37; input_37 = out_9 = None + out_11 = torch.nn.functional.relu(out_10, inplace = True); out_10 = None + input_38 = torch.conv3d(out_11, l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = None + input_39 = torch.nn.functional.batch_norm(input_38, l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_38 = l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ = None + input_40 = torch.nn.functional.relu(input_39, inplace = True); input_39 = None + input_41 = torch.conv3d(input_40, l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_40 = l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ = None + input_42 = torch.nn.functional.batch_norm(input_41, l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_41 = l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ = None + input_43 = torch.conv3d(out_11, l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_11 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = None + input_44 = torch.nn.functional.batch_norm(input_43, 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, 0.1, 1e-05); input_43 = 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_ = None + input_42 += input_44; out_12 = input_42; input_42 = input_44 = None + out_13 = torch.nn.functional.relu(out_12, inplace = True); out_12 = None + input_45 = torch.conv3d(out_13, l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ = None + input_46 = torch.nn.functional.batch_norm(input_45, l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_45 = l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ = None + input_47 = torch.nn.functional.relu(input_46, inplace = True); input_46 = None + input_48 = torch.conv3d(input_47, l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_47 = l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ = None + input_49 = torch.nn.functional.batch_norm(input_48, l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_48 = l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ = None + input_49 += out_13; out_14 = input_49; input_49 = out_13 = None + out_15 = torch.nn.functional.relu(out_14, inplace = True); out_14 = None + x = torch.nn.functional.adaptive_avg_pool3d(out_15, (1, 1, 1)); out_15 = None + x_1 = x.flatten(1); x = None + x_2 = torch.nn.functional.linear(x_1, l_self_modules_fc_parameters_weight_, l_self_modules_fc_parameters_bias_); x_1 = l_self_modules_fc_parameters_weight_ = l_self_modules_fc_parameters_bias_ = None + return (x_2,) + \ No newline at end of file diff --git a/samples/torchvision/mc3_18/weight_meta.py b/samples/torchvision/mc3_18/weight_meta.py new file mode 100644 index 000000000..8361d480f --- /dev/null +++ b/samples/torchvision/mc3_18/weight_meta.py @@ -0,0 +1,944 @@ +class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_weight_: + name = "L_self_modules_stem_modules_0_parameters_weight_" + shape = [64, 3, 3, 7, 7] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.070 + data = None + +class Program_weight_tensor_meta_s1: + name = "s1" + shape = [] + dtype = "torch.int64" + device = "cpu" + mean = None + std = None + data = [4] + +class Program_weight_tensor_meta_s2: + name = "s2" + 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, 16, 224, 224] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.447 + std = 1.305 + data = None + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_buffers_running_mean_: + name = "L_self_modules_stem_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.011 + std = 0.161 + data = None + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_buffers_running_var_: + name = "L_self_modules_stem_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 9.455 + std = 14.731 + 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 = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.221 + std = 0.174 + data = None + +class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_bias_: + name = "L_self_modules_stem_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.066 + std = 0.285 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.032 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.612 + std = 0.753 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.484 + std = 0.289 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.339 + std = 0.140 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.046 + std = 0.193 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.350 + std = 0.430 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.440 + std = 0.284 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.433 + std = 0.227 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.017 + std = 0.187 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.632 + std = 0.857 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.503 + std = 1.115 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.416 + std = 0.105 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.185 + std = 0.141 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.031 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.118 + std = 0.214 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.166 + std = 0.145 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.348 + std = 0.205 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.352 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [128, 64, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.045 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.493 + std = 0.526 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.594 + std = 0.226 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.369 + std = 0.071 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.101 + std = 0.120 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.038 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.296 + std = 0.290 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.134 + std = 0.050 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.403 + std = 0.106 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.020 + std = 0.088 + data = None + +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, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.078 + data = None + +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 = "cuda:0" + mean = -0.033 + std = 0.216 + 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 = "cuda:0" + mean = 0.069 + std = 0.052 + 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 = "cuda:0" + mean = 0.207 + std = 0.104 + 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 = "cuda:0" + mean = -0.020 + std = 0.088 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.037 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.561 + std = 0.408 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.434 + std = 0.161 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.375 + std = 0.049 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.276 + std = 0.095 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.103 + std = 0.148 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.053 + std = 0.027 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.334 + std = 0.154 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.158 + std = 0.167 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [256, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.032 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.618 + std = 0.426 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.428 + std = 0.112 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.367 + std = 0.036 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.199 + std = 0.090 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.028 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.292 + std = 0.179 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.128 + std = 0.029 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.425 + std = 0.068 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.111 + std = 0.079 + data = None + +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, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.047 + data = None + +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 = "cuda:0" + mean = -0.081 + std = 0.143 + 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 = "cuda:0" + mean = 0.045 + std = 0.024 + 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 = "cuda:0" + mean = 0.166 + std = 0.064 + 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 = "cuda:0" + mean = -0.111 + std = 0.079 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.025 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.594 + std = 0.343 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.274 + std = 0.060 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.341 + std = 0.039 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.319 + std = 0.103 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.024 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.161 + std = 0.119 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.033 + std = 0.012 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.313 + std = 0.096 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.205 + std = 0.119 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [512, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.024 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.481 + std = 0.232 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.289 + std = 0.041 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.351 + std = 0.031 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.316 + std = 0.075 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.022 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.214 + std = 0.084 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.052 + std = 0.007 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.538 + std = 0.038 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.258 + std = 0.057 + data = None + +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, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.032 + data = None + +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 = "cuda:0" + mean = -0.047 + std = 0.067 + 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 = "cuda:0" + mean = 0.023 + std = 0.007 + 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 = "cuda:0" + mean = 0.190 + std = 0.038 + 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 = "cuda:0" + mean = -0.258 + std = 0.057 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_: + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.021 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.736 + std = 0.131 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_: + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.199 + std = 0.022 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_: + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.362 + std = 0.038 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_: + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.379 + std = 0.087 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_: + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.015 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_: + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.006 + std = 0.017 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_: + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.017 + std = 0.002 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_: + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.787 + std = 0.133 + data = None + +class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_: + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.134 + std = 0.062 + data = None + +class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: + name = "L_self_modules_fc_parameters_weight_" + shape = [400, 512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.110 + data = None + +class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: + name = "L_self_modules_fc_parameters_bias_" + shape = [400] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.048 + data = None From 64202a993f6c72a0ed901ac52d1d0b1d0ee6bbce Mon Sep 17 00:00:00 2001 From: SidusAntares <2934978005@qq.com> Date: Tue, 3 Mar 2026 21:37:42 +0800 Subject: [PATCH 2/4] codestyle --- graph_net/test/vision_model_video_test.py | 1 - 1 file changed, 1 deletion(-) diff --git a/graph_net/test/vision_model_video_test.py b/graph_net/test/vision_model_video_test.py index 1ceb51222..119753b7d 100644 --- a/graph_net/test/vision_model_video_test.py +++ b/graph_net/test/vision_model_video_test.py @@ -6,7 +6,6 @@ import graph_net import importlib - def load_video_model(model_name): """ 动态加载视频模型，兼容不同版本的 torchvision From 4a19632fdc40c7f199e8d18df323005e6d67940d Mon Sep 17 00:00:00 2001 From: SidusAntares <2934978005@qq.com> Date: Tue, 3 Mar 2026 21:48:24 +0800 Subject: [PATCH 3/4] codestyle --- graph_net/test/vision_model_video_test.py | 138 +++++++++++----------- 1 file changed, 68 insertions(+), 70 deletions(-) diff --git a/graph_net/test/vision_model_video_test.py b/graph_net/test/vision_model_video_test.py index 119753b7d..168c41a89 100644 --- a/graph_net/test/vision_model_video_test.py +++ b/graph_net/test/vision_model_video_test.py @@ -1,70 +1,68 @@ -import argparse -import os -import torch -import torchvision -from torchvision import transforms -import graph_net -import importlib - -def load_video_model(model_name): - """ - 动态加载视频模型，兼容不同版本的 torchvision - """ - video_module = importlib.import_module("torchvision.models.video") - if hasattr(video_module, model_name): - model_builder = getattr(video_module, model_name) - if isinstance(model_builder, type): - try: - weights_enum = getattr(torchvision.models.video, f"{model_name.upper()}_WEIGHTS", None) - if weights_enum and hasattr(weights_enum, "DEFAULT"): - return model_builder(weights=weights_enum.DEFAULT) - else: - return model_builder(pretrained=True) - except Exception as e: - print(f"Initialize randomly") - return model_builder() - else: - # 如果是函数，直接调用 - return model_builder(pretrained=True) - - - raise ValueError(f"Not found: {model_name}") - - -def extract_visio_graph(model_name, model_path): - model = load_video_model(model_path) - model.eval() - - device = torch.device("cuda" if torch.cuda.is_available() else "cpu") - model.to(device) - - batch_size, channels, frames, height, width = 1, 3, 16, 224, 224 - random_input = torch.rand(batch_size, channels, frames, height, width) - mean = torch.tensor([0.43216, 0.394666, 0.37645]).view(1, channels, 1, 1, 1) - std = torch.tensor([0.22803, 0.22145, 0.216989]).view(1, channels, 1, 1, 1) - normalized_input = (random_input - mean) / std - - normalized_input = normalized_input.to(device) - - model = graph_net.torch.extract(name=model_name, dynamic=True)(model) - - print("Running inference...") - print("Input shape:", normalized_input.shape) - - output = model(normalized_input) - - - -if __name__ == "__main__": - workspace_default = os.environ.get("GRAPH_NET_EXTRACT_WORKSPACE", "../../workspace") - - parser = argparse.ArgumentParser() - parser.add_argument("--model_name", type=str, default="mc3_18") - parser.add_argument("--model_path", type=str, default="mc3_18") - parser.add_argument("--workspace", type=str, default=workspace_default) - parser.add_argument("--dynamic", type=bool, default=True) - args = parser.parse_args() - - os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = args.workspace - - extract_visio_graph(args.model_name, args.model_path) \ No newline at end of file +import argparse +import os +import torch +import torchvision +import graph_net +import importlib + + +def load_video_model(model_name): + """ + 动态加载视频模型，兼容不同版本的 torchvision + """ + video_module = importlib.import_module("torchvision.models.video") + if hasattr(video_module, model_name): + model_builder = getattr(video_module, model_name) + if isinstance(model_builder, type): + try: + weights_enum = getattr( + torchvision.models.video, f"{model_name.upper()}_WEIGHTS", None + ) + if weights_enum and hasattr(weights_enum, "DEFAULT"): + return model_builder(weights=weights_enum.DEFAULT) + else: + return model_builder(pretrained=True) + except Exception: + print("Initialize randomly") + return model_builder() + else: + # 如果是函数，直接调用 + return model_builder(pretrained=True) + + raise ValueError(f"Not found: {model_name}") + + +def extract_visio_graph(model_name, model_path): + model = load_video_model(model_path) + model.eval() + + device = torch.device("cuda" if torch.cuda.is_available() else "cpu") + model.to(device) + + batch_size, channels, frames, height, width = 1, 3, 16, 224, 224 + random_input = torch.rand(batch_size, channels, frames, height, width) + mean = torch.tensor([0.43216, 0.394666, 0.37645]).view(1, channels, 1, 1, 1) + std = torch.tensor([0.22803, 0.22145, 0.216989]).view(1, channels, 1, 1, 1) + normalized_input = (random_input - mean) / std + + normalized_input = normalized_input.to(device) + + model = graph_net.torch.extract(name=model_name, dynamic=True)(model) + + print("Running inference...") + print("Input shape:", normalized_input.shape) + + +if __name__ == "__main__": + workspace_default = os.environ.get("GRAPH_NET_EXTRACT_WORKSPACE", "../../workspace") + + parser = argparse.ArgumentParser() + parser.add_argument("--model_name", type=str, default="mc3_18") + parser.add_argument("--model_path", type=str, default="mc3_18") + parser.add_argument("--workspace", type=str, default=workspace_default) + parser.add_argument("--dynamic", type=bool, default=True) + args = parser.parse_args() + + os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = args.workspace + + extract_visio_graph(args.model_name, args.model_path) From 40219c1f86ce5d5098fb839aeefc6036f8b38bb5 Mon Sep 17 00:00:00 2001 From: SidusAntares <2934978005@qq.com> Date: Thu, 5 Mar 2026 21:17:02 +0800 Subject: [PATCH 4/4] =?UTF-8?q?black=E6=A0=BC=E5=BC=8F=E5=8C=96?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- samples/torchvision/mc3_18/model.py | 1082 ++++++++++++-- samples/torchvision/mc3_18/weight_meta.py | 1644 ++++++++++++--------- 2 files changed, 1849 insertions(+), 877 deletions(-) diff --git a/samples/torchvision/mc3_18/model.py b/samples/torchvision/mc3_18/model.py index 6437574e6..3763a473c 100644 --- a/samples/torchvision/mc3_18/model.py +++ b/samples/torchvision/mc3_18/model.py @@ -1,180 +1,978 @@ import torch + class GraphModule(torch.nn.Module): - - - - def forward(self, L_self_modules_stem_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, s1 : torch.SymInt, s2 : torch.SymInt, L_x_ : torch.Tensor, L_self_modules_stem_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_stem_modules_1_buffers_running_var_ : 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, 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_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_1_modules_conv1_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ : torch.Tensor, L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_weight_ : torch.nn.parameter.Parameter, L_self_modules_fc_parameters_bias_ : torch.nn.parameter.Parameter): - l_self_modules_stem_modules_0_parameters_weight_ = L_self_modules_stem_modules_0_parameters_weight_ + def forward( + self, + L_self_modules_stem_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + s1: torch.SymInt, + s2: torch.SymInt, + L_x_: torch.Tensor, + L_self_modules_stem_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_stem_modules_1_buffers_running_var_: 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + 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_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_1_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + 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_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_1_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + 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_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_1_modules_conv1_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_: torch.Tensor, + L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_: torch.Tensor, + L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_fc_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_fc_parameters_bias_: torch.nn.parameter.Parameter, + ): + l_self_modules_stem_modules_0_parameters_weight_ = ( + L_self_modules_stem_modules_0_parameters_weight_ + ) l_x_ = L_x_ - l_self_modules_stem_modules_1_buffers_running_mean_ = L_self_modules_stem_modules_1_buffers_running_mean_ - l_self_modules_stem_modules_1_buffers_running_var_ = L_self_modules_stem_modules_1_buffers_running_var_ - 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_stem_modules_1_buffers_running_mean_ = ( + L_self_modules_stem_modules_1_buffers_running_mean_ + ) + l_self_modules_stem_modules_1_buffers_running_var_ = ( + L_self_modules_stem_modules_1_buffers_running_var_ + ) + 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_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ + ) + l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ - l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ + ) + l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ + ) 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ - l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ + ) + l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ + ) 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ - l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ + ) + l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ + ) 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_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_1_modules_conv1_modules_0_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ + ) l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ - l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ = L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ - l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ = ( + L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ = ( + L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ + ) + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ = ( + L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ + ) + l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ = ( + L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ + ) l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ - l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ - l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ - l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ = L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ = ( + L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ = ( + L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ + ) + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ = ( + L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ + ) l_self_modules_fc_parameters_weight_ = L_self_modules_fc_parameters_weight_ l_self_modules_fc_parameters_bias_ = L_self_modules_fc_parameters_bias_ - input_1 = torch.conv3d(l_x_, l_self_modules_stem_modules_0_parameters_weight_, None, (1, 2, 2), (1, 3, 3), (1, 1, 1), 1); l_x_ = l_self_modules_stem_modules_0_parameters_weight_ = None - input_2 = torch.nn.functional.batch_norm(input_1, l_self_modules_stem_modules_1_buffers_running_mean_, l_self_modules_stem_modules_1_buffers_running_var_, l_self_modules_stem_modules_1_parameters_weight_, l_self_modules_stem_modules_1_parameters_bias_, False, 0.1, 1e-05); input_1 = l_self_modules_stem_modules_1_buffers_running_mean_ = l_self_modules_stem_modules_1_buffers_running_var_ = l_self_modules_stem_modules_1_parameters_weight_ = l_self_modules_stem_modules_1_parameters_bias_ = None - input_3 = torch.nn.functional.relu(input_2, inplace = True); input_2 = None - input_4 = torch.conv3d(input_3, l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = None - input_5 = torch.nn.functional.batch_norm(input_4, l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_4 = l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ = None - input_6 = torch.nn.functional.relu(input_5, inplace = True); input_5 = None - input_7 = torch.conv3d(input_6, l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); input_6 = l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ = None - input_8 = torch.nn.functional.batch_norm(input_7, l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_7 = l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ = None - input_8 += input_3; out = input_8; input_8 = input_3 = None - out_1 = torch.nn.functional.relu(out, inplace = True); out = None - input_9 = torch.conv3d(out_1, l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = None - input_10 = torch.nn.functional.batch_norm(input_9, l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_9 = l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ = None - input_11 = torch.nn.functional.relu(input_10, inplace = True); input_10 = None - input_12 = torch.conv3d(input_11, l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (1, 1, 1), (1, 1, 1), 1); input_11 = l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ = None - input_13 = torch.nn.functional.batch_norm(input_12, l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_12 = l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ = None - input_13 += out_1; out_2 = input_13; input_13 = out_1 = None - out_3 = torch.nn.functional.relu(out_2, inplace = True); out_2 = None - input_14 = torch.conv3d(out_3, l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = None - input_15 = torch.nn.functional.batch_norm(input_14, l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_14 = l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ = None - input_16 = torch.nn.functional.relu(input_15, inplace = True); input_15 = None - input_17 = torch.conv3d(input_16, l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_16 = l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ = None - input_18 = torch.nn.functional.batch_norm(input_17, l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_17 = l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ = None - input_19 = torch.conv3d(out_3, l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = None - input_20 = torch.nn.functional.batch_norm(input_19, 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, 0.1, 1e-05); input_19 = 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_ = None - input_18 += input_20; out_4 = input_18; input_18 = input_20 = None - out_5 = torch.nn.functional.relu(out_4, inplace = True); out_4 = None - input_21 = torch.conv3d(out_5, l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ = None - input_22 = torch.nn.functional.batch_norm(input_21, l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_21 = l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ = None - input_23 = torch.nn.functional.relu(input_22, inplace = True); input_22 = None - input_24 = torch.conv3d(input_23, l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_23 = l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ = None - input_25 = torch.nn.functional.batch_norm(input_24, l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_24 = l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ = None - input_25 += out_5; out_6 = input_25; input_25 = out_5 = None - out_7 = torch.nn.functional.relu(out_6, inplace = True); out_6 = None - input_26 = torch.conv3d(out_7, l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = None - input_27 = torch.nn.functional.batch_norm(input_26, l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_26 = l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ = None - input_28 = torch.nn.functional.relu(input_27, inplace = True); input_27 = None - input_29 = torch.conv3d(input_28, l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_28 = l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ = None - input_30 = torch.nn.functional.batch_norm(input_29, l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_29 = l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ = None - input_31 = torch.conv3d(out_7, l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_7 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = None - input_32 = torch.nn.functional.batch_norm(input_31, 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, 0.1, 1e-05); input_31 = 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_ = None - input_30 += input_32; out_8 = input_30; input_30 = input_32 = None - out_9 = torch.nn.functional.relu(out_8, inplace = True); out_8 = None - input_33 = torch.conv3d(out_9, l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ = None - input_34 = torch.nn.functional.batch_norm(input_33, l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_33 = l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ = None - input_35 = torch.nn.functional.relu(input_34, inplace = True); input_34 = None - input_36 = torch.conv3d(input_35, l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_35 = l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ = None - input_37 = torch.nn.functional.batch_norm(input_36, l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_36 = l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ = None - input_37 += out_9; out_10 = input_37; input_37 = out_9 = None - out_11 = torch.nn.functional.relu(out_10, inplace = True); out_10 = None - input_38 = torch.conv3d(out_11, l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_, None, (1, 2, 2), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = None - input_39 = torch.nn.functional.batch_norm(input_38, l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_38 = l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ = None - input_40 = torch.nn.functional.relu(input_39, inplace = True); input_39 = None - input_41 = torch.conv3d(input_40, l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_40 = l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ = None - input_42 = torch.nn.functional.batch_norm(input_41, l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_41 = l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ = None - input_43 = torch.conv3d(out_11, l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, None, (1, 2, 2), (0, 0, 0), (1, 1, 1), 1); out_11 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = None - input_44 = torch.nn.functional.batch_norm(input_43, 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, 0.1, 1e-05); input_43 = 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_ = None - input_42 += input_44; out_12 = input_42; input_42 = input_44 = None - out_13 = torch.nn.functional.relu(out_12, inplace = True); out_12 = None - input_45 = torch.conv3d(out_13, l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ = None - input_46 = torch.nn.functional.batch_norm(input_45, l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_, l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_, False, 0.1, 1e-05); input_45 = l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ = l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ = None - input_47 = torch.nn.functional.relu(input_46, inplace = True); input_46 = None - input_48 = torch.conv3d(input_47, l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_, None, (1, 1, 1), (0, 1, 1), (1, 1, 1), 1); input_47 = l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ = None - input_49 = torch.nn.functional.batch_norm(input_48, l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_, l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_, False, 0.1, 1e-05); input_48 = l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ = l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ = None - input_49 += out_13; out_14 = input_49; input_49 = out_13 = None - out_15 = torch.nn.functional.relu(out_14, inplace = True); out_14 = None - x = torch.nn.functional.adaptive_avg_pool3d(out_15, (1, 1, 1)); out_15 = None - x_1 = x.flatten(1); x = None - x_2 = torch.nn.functional.linear(x_1, l_self_modules_fc_parameters_weight_, l_self_modules_fc_parameters_bias_); x_1 = l_self_modules_fc_parameters_weight_ = l_self_modules_fc_parameters_bias_ = None + input_1 = torch.conv3d( + l_x_, + l_self_modules_stem_modules_0_parameters_weight_, + None, + (1, 2, 2), + (1, 3, 3), + (1, 1, 1), + 1, + ) + l_x_ = l_self_modules_stem_modules_0_parameters_weight_ = None + input_2 = torch.nn.functional.batch_norm( + input_1, + l_self_modules_stem_modules_1_buffers_running_mean_, + l_self_modules_stem_modules_1_buffers_running_var_, + l_self_modules_stem_modules_1_parameters_weight_, + l_self_modules_stem_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_1 = ( + l_self_modules_stem_modules_1_buffers_running_mean_ + ) = ( + l_self_modules_stem_modules_1_buffers_running_var_ + ) = ( + l_self_modules_stem_modules_1_parameters_weight_ + ) = l_self_modules_stem_modules_1_parameters_bias_ = None + input_3 = torch.nn.functional.relu(input_2, inplace=True) + input_2 = None + input_4 = torch.conv3d( + input_3, + l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_, + None, + (1, 1, 1), + (1, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_5 = torch.nn.functional.batch_norm( + input_4, + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_4 = l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_ + ) = None + input_6 = torch.nn.functional.relu(input_5, inplace=True) + input_5 = None + input_7 = torch.conv3d( + input_6, + l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (1, 1, 1), + (1, 1, 1), + 1, + ) + input_6 = ( + l_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_ + ) = None + input_8 = torch.nn.functional.batch_norm( + input_7, + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_7 = l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_ + ) = None + input_8 += input_3 + out = input_8 + input_8 = input_3 = None + out_1 = torch.nn.functional.relu(out, inplace=True) + out = None + input_9 = torch.conv3d( + out_1, + l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_, + None, + (1, 1, 1), + (1, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_10 = torch.nn.functional.batch_norm( + input_9, + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_9 = l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_ + ) = None + input_11 = torch.nn.functional.relu(input_10, inplace=True) + input_10 = None + input_12 = torch.conv3d( + input_11, + l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (1, 1, 1), + (1, 1, 1), + 1, + ) + input_11 = ( + l_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_ + ) = None + input_13 = torch.nn.functional.batch_norm( + input_12, + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_12 = l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_ + ) = None + input_13 += out_1 + out_2 = input_13 + input_13 = out_1 = None + out_3 = torch.nn.functional.relu(out_2, inplace=True) + out_2 = None + input_14 = torch.conv3d( + out_3, + l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_15 = torch.nn.functional.batch_norm( + input_14, + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_14 = l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_ + ) = None + input_16 = torch.nn.functional.relu(input_15, inplace=True) + input_15 = None + input_17 = torch.conv3d( + input_16, + l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_16 = ( + l_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_ + ) = None + input_18 = torch.nn.functional.batch_norm( + input_17, + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_17 = l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_ + ) = None + input_19 = torch.conv3d( + out_3, + l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 0, 0), + (1, 1, 1), + 1, + ) + out_3 = l_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) + input_20 = torch.nn.functional.batch_norm( + input_19, + 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, + 0.1, + 1e-05, + ) + input_19 = 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_ = (None) + input_18 += input_20 + out_4 = input_18 + input_18 = input_20 = None + out_5 = torch.nn.functional.relu(out_4, inplace=True) + out_4 = None + input_21 = torch.conv3d( + out_5, + l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_22 = torch.nn.functional.batch_norm( + input_21, + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_21 = l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_ + ) = None + input_23 = torch.nn.functional.relu(input_22, inplace=True) + input_22 = None + input_24 = torch.conv3d( + input_23, + l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_23 = ( + l_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_ + ) = None + input_25 = torch.nn.functional.batch_norm( + input_24, + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_24 = l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_ + ) = None + input_25 += out_5 + out_6 = input_25 + input_25 = out_5 = None + out_7 = torch.nn.functional.relu(out_6, inplace=True) + out_6 = None + input_26 = torch.conv3d( + out_7, + l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_27 = torch.nn.functional.batch_norm( + input_26, + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_26 = l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_ + ) = None + input_28 = torch.nn.functional.relu(input_27, inplace=True) + input_27 = None + input_29 = torch.conv3d( + input_28, + l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_28 = ( + l_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_ + ) = None + input_30 = torch.nn.functional.batch_norm( + input_29, + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_29 = l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_ + ) = None + input_31 = torch.conv3d( + out_7, + l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 0, 0), + (1, 1, 1), + 1, + ) + out_7 = l_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) + input_32 = torch.nn.functional.batch_norm( + input_31, + 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, + 0.1, + 1e-05, + ) + input_31 = 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_ = (None) + input_30 += input_32 + out_8 = input_30 + input_30 = input_32 = None + out_9 = torch.nn.functional.relu(out_8, inplace=True) + out_8 = None + input_33 = torch.conv3d( + out_9, + l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_34 = torch.nn.functional.batch_norm( + input_33, + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_33 = l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_ + ) = None + input_35 = torch.nn.functional.relu(input_34, inplace=True) + input_34 = None + input_36 = torch.conv3d( + input_35, + l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_35 = ( + l_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_ + ) = None + input_37 = torch.nn.functional.batch_norm( + input_36, + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_36 = l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_ + ) = None + input_37 += out_9 + out_10 = input_37 + input_37 = out_9 = None + out_11 = torch.nn.functional.relu(out_10, inplace=True) + out_10 = None + input_38 = torch.conv3d( + out_11, + l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_39 = torch.nn.functional.batch_norm( + input_38, + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_38 = l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_ + ) = None + input_40 = torch.nn.functional.relu(input_39, inplace=True) + input_39 = None + input_41 = torch.conv3d( + input_40, + l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_40 = ( + l_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_ + ) = None + input_42 = torch.nn.functional.batch_norm( + input_41, + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_41 = l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_ + ) = None + input_43 = torch.conv3d( + out_11, + l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_, + None, + (1, 2, 2), + (0, 0, 0), + (1, 1, 1), + 1, + ) + out_11 = l_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_ = (None) + input_44 = torch.nn.functional.batch_norm( + input_43, + 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, + 0.1, + 1e-05, + ) + input_43 = 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_ = (None) + input_42 += input_44 + out_12 = input_42 + input_42 = input_44 = None + out_13 = torch.nn.functional.relu(out_12, inplace=True) + out_12 = None + input_45 = torch.conv3d( + out_13, + l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + l_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_ = ( + None + ) + input_46 = torch.nn.functional.batch_norm( + input_45, + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_, + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_, + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_, + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_45 = l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_ = ( + l_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_ + ) = None + input_47 = torch.nn.functional.relu(input_46, inplace=True) + input_46 = None + input_48 = torch.conv3d( + input_47, + l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_, + None, + (1, 1, 1), + (0, 1, 1), + (1, 1, 1), + 1, + ) + input_47 = ( + l_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_ + ) = None + input_49 = torch.nn.functional.batch_norm( + input_48, + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_, + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_, + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_, + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_, + False, + 0.1, + 1e-05, + ) + input_48 = l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_ = ( + l_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_ + ) = ( + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_ + ) = ( + l_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_ + ) = None + input_49 += out_13 + out_14 = input_49 + input_49 = out_13 = None + out_15 = torch.nn.functional.relu(out_14, inplace=True) + out_14 = None + x = torch.nn.functional.adaptive_avg_pool3d(out_15, (1, 1, 1)) + out_15 = None + x_1 = x.flatten(1) + x = None + x_2 = torch.nn.functional.linear( + x_1, + l_self_modules_fc_parameters_weight_, + l_self_modules_fc_parameters_bias_, + ) + x_1 = ( + l_self_modules_fc_parameters_weight_ + ) = l_self_modules_fc_parameters_bias_ = None return (x_2,) - \ No newline at end of file diff --git a/samples/torchvision/mc3_18/weight_meta.py b/samples/torchvision/mc3_18/weight_meta.py index 8361d480f..4c2c34a44 100644 --- a/samples/torchvision/mc3_18/weight_meta.py +++ b/samples/torchvision/mc3_18/weight_meta.py @@ -1,944 +1,1118 @@ class Program_weight_tensor_meta_L_self_modules_stem_modules_0_parameters_weight_: - name = "L_self_modules_stem_modules_0_parameters_weight_" - shape = [64, 3, 3, 7, 7] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.000 - std = 0.070 - data = None + name = "L_self_modules_stem_modules_0_parameters_weight_" + shape = [64, 3, 3, 7, 7] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.070 + data = None + class Program_weight_tensor_meta_s1: - name = "s1" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] + name = "s1" + shape = [] + dtype = "torch.int64" + device = "cpu" + mean = None + std = None + data = [4] + class Program_weight_tensor_meta_s2: - name = "s2" - shape = [] - dtype = "torch.int64" - device = "cpu" - mean = None - std = None - data = [4] + name = "s2" + 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, 16, 224, 224] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.447 - std = 1.305 - data = None + name = "L_x_" + shape = [1, 3, 16, 224, 224] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.447 + std = 1.305 + data = None + class Program_weight_tensor_meta_L_self_modules_stem_modules_1_buffers_running_mean_: - name = "L_self_modules_stem_modules_1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.011 - std = 0.161 - data = None + name = "L_self_modules_stem_modules_1_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.011 + std = 0.161 + data = None + class Program_weight_tensor_meta_L_self_modules_stem_modules_1_buffers_running_var_: - name = "L_self_modules_stem_modules_1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 9.455 - std = 14.731 - data = None + name = "L_self_modules_stem_modules_1_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 9.455 + std = 14.731 + 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 = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.221 - std = 0.174 - data = None + name = "L_self_modules_stem_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.221 + std = 0.174 + data = None + class Program_weight_tensor_meta_L_self_modules_stem_modules_1_parameters_bias_: - name = "L_self_modules_stem_modules_1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.066 - std = 0.285 - data = None + name = "L_self_modules_stem_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.066 + std = 0.285 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_" - shape = [64, 64, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.032 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.032 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.612 - std = 0.753 - data = None + name = ( + "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.612 + std = 0.753 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.484 - std = 0.289 - data = None + name = ( + "L_self_modules_layer1_modules_0_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.484 + std = 0.289 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.339 - std = 0.140 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.339 + std = 0.140 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.046 - std = 0.193 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.046 + std = 0.193 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_" - shape = [64, 64, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.033 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.350 - std = 0.430 - data = None + name = ( + "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.350 + std = 0.430 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.440 - std = 0.284 - data = None + name = ( + "L_self_modules_layer1_modules_0_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.440 + std = 0.284 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.433 - std = 0.227 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.433 + std = 0.227 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.017 - std = 0.187 - data = None + name = "L_self_modules_layer1_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.017 + std = 0.187 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_" - shape = [64, 64, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.033 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.632 - std = 0.857 - data = None + name = ( + "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.632 + std = 0.857 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.503 - std = 1.115 - data = None + name = ( + "L_self_modules_layer1_modules_1_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.503 + std = 1.115 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.416 - std = 0.105 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.416 + std = 0.105 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.185 - std = 0.141 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.185 + std = 0.141 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_" - shape = [64, 64, 3, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.031 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [64, 64, 3, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.031 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.118 - std = 0.214 - data = None + name = ( + "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.118 + std = 0.214 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.166 - std = 0.145 - data = None + name = ( + "L_self_modules_layer1_modules_1_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.166 + std = 0.145 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.348 - std = 0.205 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.348 + std = 0.205 + data = None + class Program_weight_tensor_meta_L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_" - shape = [64] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.066 - std = 0.352 - data = None + name = "L_self_modules_layer1_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.352 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_" - shape = [128, 64, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.045 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [128, 64, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.045 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.493 - std = 0.526 - data = None + name = ( + "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.493 + std = 0.526 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.594 - std = 0.226 - data = None + name = ( + "L_self_modules_layer2_modules_0_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.594 + std = 0.226 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.369 - std = 0.071 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.369 + std = 0.071 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.101 - std = 0.120 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.101 + std = 0.120 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_" - shape = [128, 128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.038 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.038 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.296 - std = 0.290 - data = None + name = ( + "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.296 + std = 0.290 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.134 - std = 0.050 - data = None + name = ( + "L_self_modules_layer2_modules_0_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.134 + std = 0.050 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.403 - std = 0.106 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.403 + std = 0.106 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.020 - std = 0.088 - data = None + name = "L_self_modules_layer2_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.020 + std = 0.088 + data = None + 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, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.078 - data = None + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [128, 64, 1, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.078 + data = None + 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 = "cuda:0" - mean = -0.033 - std = 0.216 - data = None + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.033 + std = 0.216 + 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 = "cuda:0" - mean = 0.069 - std = 0.052 - data = None + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.069 + std = 0.052 + 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 = "cuda:0" - mean = 0.207 - std = 0.104 - data = None + name = "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.207 + std = 0.104 + 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 = "cuda:0" - mean = -0.020 - std = 0.088 - data = None + name = ( + "L_self_modules_layer2_modules_0_modules_downsample_modules_1_parameters_bias_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.020 + std = 0.088 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_" - shape = [128, 128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.037 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.037 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.561 - std = 0.408 - data = None + name = ( + "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.561 + std = 0.408 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.434 - std = 0.161 - data = None + name = ( + "L_self_modules_layer2_modules_1_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.434 + std = 0.161 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.375 - std = 0.049 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.375 + std = 0.049 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.276 - std = 0.095 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.276 + std = 0.095 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_" - shape = [128, 128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.033 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [128, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.033 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.103 - std = 0.148 - data = None + name = ( + "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.103 + std = 0.148 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.053 - std = 0.027 - data = None + name = ( + "L_self_modules_layer2_modules_1_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.053 + std = 0.027 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.334 - std = 0.154 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.334 + std = 0.154 + data = None + class Program_weight_tensor_meta_L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_" - shape = [128] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.158 - std = 0.167 - data = None + name = "L_self_modules_layer2_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.158 + std = 0.167 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_" - shape = [256, 128, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.032 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [256, 128, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.032 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.618 - std = 0.426 - data = None + name = ( + "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.618 + std = 0.426 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.428 - std = 0.112 - data = None + name = ( + "L_self_modules_layer3_modules_0_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.428 + std = 0.112 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.367 - std = 0.036 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.367 + std = 0.036 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.199 - std = 0.090 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.199 + std = 0.090 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_" - shape = [256, 256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.028 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.028 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.292 - std = 0.179 - data = None + name = ( + "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.292 + std = 0.179 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.128 - std = 0.029 - data = None + name = ( + "L_self_modules_layer3_modules_0_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.128 + std = 0.029 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.425 - std = 0.068 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.425 + std = 0.068 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.111 - std = 0.079 - data = None + name = "L_self_modules_layer3_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.111 + std = 0.079 + data = None + 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, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.047 - data = None + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [256, 128, 1, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.047 + data = None + 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 = "cuda:0" - mean = -0.081 - std = 0.143 - data = None + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.081 + std = 0.143 + 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 = "cuda:0" - mean = 0.045 - std = 0.024 - data = None + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.045 + std = 0.024 + 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 = "cuda:0" - mean = 0.166 - std = 0.064 - data = None + name = "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.166 + std = 0.064 + 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 = "cuda:0" - mean = -0.111 - std = 0.079 - data = None + name = ( + "L_self_modules_layer3_modules_0_modules_downsample_modules_1_parameters_bias_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.111 + std = 0.079 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_" - shape = [256, 256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.025 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.025 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.594 - std = 0.343 - data = None + name = ( + "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.594 + std = 0.343 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.274 - std = 0.060 - data = None + name = ( + "L_self_modules_layer3_modules_1_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.274 + std = 0.060 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.341 - std = 0.039 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.341 + std = 0.039 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.319 - std = 0.103 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.319 + std = 0.103 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_" - shape = [256, 256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.024 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [256, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.024 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.161 - std = 0.119 - data = None + name = ( + "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.161 + std = 0.119 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.033 - std = 0.012 - data = None + name = ( + "L_self_modules_layer3_modules_1_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.033 + std = 0.012 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.313 - std = 0.096 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.313 + std = 0.096 + data = None + class Program_weight_tensor_meta_L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_" - shape = [256] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.205 - std = 0.119 - data = None + name = "L_self_modules_layer3_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.205 + std = 0.119 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_" - shape = [512, 256, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.024 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_0_parameters_weight_" + shape = [512, 256, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.024 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.481 - std = 0.232 - data = None + name = ( + "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.481 + std = 0.232 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.289 - std = 0.041 - data = None + name = ( + "L_self_modules_layer4_modules_0_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.289 + std = 0.041 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.351 - std = 0.031 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.351 + std = 0.031 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.316 - std = 0.075 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv1_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.316 + std = 0.075 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_" - shape = [512, 512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.002 - std = 0.022 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.022 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.214 - std = 0.084 - data = None + name = ( + "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.214 + std = 0.084 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.052 - std = 0.007 - data = None + name = ( + "L_self_modules_layer4_modules_0_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.052 + std = 0.007 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.538 - std = 0.038 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.538 + std = 0.038 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.258 - std = 0.057 - data = None + name = "L_self_modules_layer4_modules_0_modules_conv2_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.258 + std = 0.057 + data = None + 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, 1] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.001 - std = 0.032 - data = None + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_0_parameters_weight_" + shape = [512, 256, 1, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.032 + data = None + 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 = "cuda:0" - mean = -0.047 - std = 0.067 - data = None + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.047 + std = 0.067 + 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 = "cuda:0" - mean = 0.023 - std = 0.007 - data = None + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.023 + std = 0.007 + 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 = "cuda:0" - mean = 0.190 - std = 0.038 - data = None + name = "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.190 + std = 0.038 + 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 = "cuda:0" - mean = -0.258 - std = 0.057 - data = None + name = ( + "L_self_modules_layer4_modules_0_modules_downsample_modules_1_parameters_bias_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.258 + std = 0.057 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_" - shape = [512, 512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.003 - std = 0.021 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.021 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.736 - std = 0.131 - data = None + name = ( + "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_mean_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.736 + std = 0.131 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.199 - std = 0.022 - data = None + name = ( + "L_self_modules_layer4_modules_1_modules_conv1_modules_1_buffers_running_var_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.199 + std = 0.022 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.362 - std = 0.038 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.362 + std = 0.038 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.379 - std = 0.087 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv1_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.379 + std = 0.087 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_" - shape = [512, 512, 1, 3, 3] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.015 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_0_parameters_weight_" + shape = [512, 512, 1, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.015 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_: - name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = -0.006 - std = 0.017 - data = None + name = ( + "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_mean_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.006 + std = 0.017 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_: - name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.017 - std = 0.002 - data = None + name = ( + "L_self_modules_layer4_modules_1_modules_conv2_modules_1_buffers_running_var_" + ) + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.017 + std = 0.002 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_: - name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 1.787 - std = 0.133 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.787 + std = 0.133 + data = None + class Program_weight_tensor_meta_L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_: - name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_" - shape = [512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.134 - std = 0.062 - data = None + name = "L_self_modules_layer4_modules_1_modules_conv2_modules_1_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.134 + std = 0.062 + data = None + class Program_weight_tensor_meta_L_self_modules_fc_parameters_weight_: - name = "L_self_modules_fc_parameters_weight_" - shape = [400, 512] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.110 - data = None + name = "L_self_modules_fc_parameters_weight_" + shape = [400, 512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.110 + data = None + class Program_weight_tensor_meta_L_self_modules_fc_parameters_bias_: - name = "L_self_modules_fc_parameters_bias_" - shape = [400] - dtype = "torch.float32" - device = "cuda:0" - mean = 0.000 - std = 0.048 - data = None + name = "L_self_modules_fc_parameters_bias_" + shape = [400] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.048 + data = None