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..168c41a89
--- /dev/null
+++ b/graph_net/test/vision_model_video_test.py
@@ -0,0 +1,68 @@
+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)
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..3763a473c
--- /dev/null
+++ b/samples/torchvision/mc3_18/model.py
@@ -0,0 +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_
+        )
+        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,)
diff --git a/samples/torchvision/mc3_18/weight_meta.py b/samples/torchvision/mc3_18/weight_meta.py
new file mode 100644
index 000000000..4c2c34a44
--- /dev/null
+++ b/samples/torchvision/mc3_18/weight_meta.py
@@ -0,0 +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
+
+
+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