diff --git a/graph_net/test/extract_vovnet39a.py b/graph_net/test/extract_vovnet39a.py
new file mode 100644
index 000000000..1e7ca2b51
--- /dev/null
+++ b/graph_net/test/extract_vovnet39a.py
@@ -0,0 +1,39 @@
+import os
+
+import timm
+import torch
+from graph_net.torch.extractor import extract
+
+# 强制注入环境变量，防止丢失
+os.environ["GRAPH_NET_EXTRACT_WORKSPACE"] = "/home/aistudio/graphnet_workspace"
+os.makedirs(os.environ["GRAPH_NET_EXTRACT_WORKSPACE"], exist_ok=True)
+
+
+def main():
+    name = "vovnet39a"
+    device_str = "cpu"
+    device = torch.device(device_str)
+    print(f"开始测试模型: {name} on {device_str}")
+
+    try:
+        model = timm.create_model(name, pretrained=False)
+    except Exception as e:
+        print(f"[FAIL] 实例化模型失败 - {e}")
+        return
+
+    # VoVNet 标准输入分辨率是 224
+    input_data = torch.rand(1, 3, 224, 224, device=device)
+
+    model = model.to(device).eval()
+    wrapped = extract(name=name)(model).eval()
+
+    try:
+        with torch.no_grad():
+            wrapped(input_data)
+        print(f"[OK] {name} 计算图抽取成功！")
+    except Exception as e:
+        print(f"[FAIL] {name} 抽取发生错误 - {e}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/samples/timm/vovnet39a/graph_hash.txt b/samples/timm/vovnet39a/graph_hash.txt
new file mode 100644
index 000000000..d934f7a83
--- /dev/null
+++ b/samples/timm/vovnet39a/graph_hash.txt
@@ -0,0 +1 @@
+59ec37f6d64ba344a84c2ac69fcb427273851fb0eee47fa4f2a755b30c277913
\ No newline at end of file
diff --git a/samples/timm/vovnet39a/graph_net.json b/samples/timm/vovnet39a/graph_net.json
new file mode 100644
index 000000000..e1d583ed6
--- /dev/null
+++ b/samples/timm/vovnet39a/graph_net.json
@@ -0,0 +1,7 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1,
+    "dynamic": true,
+    "model_name": "vovnet39a"
+}
\ No newline at end of file
diff --git a/samples/timm/vovnet39a/input_meta.py b/samples/timm/vovnet39a/input_meta.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/vovnet39a/input_tensor_constraints.py b/samples/timm/vovnet39a/input_tensor_constraints.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/samples/timm/vovnet39a/model.py b/samples/timm/vovnet39a/model.py
new file mode 100644
index 000000000..7dc1844db
--- /dev/null
+++ b/samples/timm/vovnet39a/model.py
@@ -0,0 +1,2146 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_stem_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        s53: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stem_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stem_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_: torch.Tensor,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps: torch.Tensor,
+        L_self_modules_head_modules_drop_p: torch.Tensor,
+        L_self_modules_head_modules_fc_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_head_modules_fc_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_conv_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_stem_modules_0_modules_bn_momentum = (
+            L_self_modules_stem_modules_0_modules_bn_momentum
+        )
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_0_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_0_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_0_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_0_modules_bn_eps = (
+            L_self_modules_stem_modules_0_modules_bn_eps
+        )
+        l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_momentum = (
+            L_self_modules_stem_modules_1_modules_bn_momentum
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_1_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_1_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_1_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_1_modules_bn_eps = (
+            L_self_modules_stem_modules_1_modules_bn_eps
+        )
+        l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_conv_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_momentum = (
+            L_self_modules_stem_modules_2_modules_bn_momentum
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        )
+        l_self_modules_stem_modules_2_modules_bn_buffers_running_var_ = (
+            L_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_weight_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        )
+        l_self_modules_stem_modules_2_modules_bn_parameters_bias_ = (
+            L_self_modules_stem_modules_2_modules_bn_parameters_bias_
+        )
+        l_self_modules_stem_modules_2_modules_bn_eps = (
+            L_self_modules_stem_modules_2_modules_bn_eps
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps
+        l_self_modules_head_modules_drop_p = L_self_modules_head_modules_drop_p
+        l_self_modules_head_modules_fc_parameters_weight_ = (
+            L_self_modules_head_modules_fc_parameters_weight_
+        )
+        l_self_modules_head_modules_fc_parameters_bias_ = (
+            L_self_modules_head_modules_fc_parameters_bias_
+        )
+        x = torch.conv2d(
+            l_x_,
+            l_self_modules_stem_modules_0_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_stem_modules_0_modules_conv_parameters_weight_ = None
+        item = l_self_modules_stem_modules_0_modules_bn_momentum.item()
+        l_self_modules_stem_modules_0_modules_bn_momentum = None
+        item_1 = l_self_modules_stem_modules_0_modules_bn_eps.item()
+        l_self_modules_stem_modules_0_modules_bn_eps = None
+        x_1 = torch.nn.functional.batch_norm(
+            x,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_0_modules_bn_parameters_bias_,
+            False,
+            item,
+            item_1,
+        )
+        x = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_0_modules_bn_parameters_bias_
+        ) = item = item_1 = None
+        x_2 = torch.nn.functional.relu(x_1, inplace=True)
+        x_1 = None
+        x_3 = torch.conv2d(
+            x_2,
+            l_self_modules_stem_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_2 = l_self_modules_stem_modules_1_modules_conv_parameters_weight_ = None
+        item_2 = l_self_modules_stem_modules_1_modules_bn_momentum.item()
+        l_self_modules_stem_modules_1_modules_bn_momentum = None
+        item_3 = l_self_modules_stem_modules_1_modules_bn_eps.item()
+        l_self_modules_stem_modules_1_modules_bn_eps = None
+        x_4 = torch.nn.functional.batch_norm(
+            x_3,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_2,
+            item_3,
+        )
+        x_3 = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_1_modules_bn_parameters_bias_
+        ) = item_2 = item_3 = None
+        x_5 = torch.nn.functional.relu(x_4, inplace=True)
+        x_4 = None
+        x_6 = torch.conv2d(
+            x_5,
+            l_self_modules_stem_modules_2_modules_conv_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        x_5 = l_self_modules_stem_modules_2_modules_conv_parameters_weight_ = None
+        item_4 = l_self_modules_stem_modules_2_modules_bn_momentum.item()
+        l_self_modules_stem_modules_2_modules_bn_momentum = None
+        item_5 = l_self_modules_stem_modules_2_modules_bn_eps.item()
+        l_self_modules_stem_modules_2_modules_bn_eps = None
+        x_7 = torch.nn.functional.batch_norm(
+            x_6,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stem_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_4,
+            item_5,
+        )
+        x_6 = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_mean_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_buffers_running_var_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_parameters_weight_
+        ) = (
+            l_self_modules_stem_modules_2_modules_bn_parameters_bias_
+        ) = item_4 = item_5 = None
+        x_8 = torch.nn.functional.relu(x_7, inplace=True)
+        x_7 = None
+        x_9 = torch.conv2d(
+            x_8,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_6 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_7 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_10 = torch.nn.functional.batch_norm(
+            x_9,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_6,
+            item_7,
+        )
+        x_9 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_6) = (
+            item_7
+        ) = None
+        x_11 = torch.nn.functional.relu(x_10, inplace=True)
+        x_10 = None
+        x_12 = torch.conv2d(
+            x_11,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_8 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_9 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_13 = torch.nn.functional.batch_norm(
+            x_12,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_8,
+            item_9,
+        )
+        x_12 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_8) = (
+            item_9
+        ) = None
+        x_14 = torch.nn.functional.relu(x_13, inplace=True)
+        x_13 = None
+        x_15 = torch.conv2d(
+            x_14,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_10 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_11 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_16 = torch.nn.functional.batch_norm(
+            x_15,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_10,
+            item_11,
+        )
+        x_15 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_10) = (
+            item_11
+        ) = None
+        x_17 = torch.nn.functional.relu(x_16, inplace=True)
+        x_16 = None
+        x_18 = torch.conv2d(
+            x_17,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_12 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_13 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_19 = torch.nn.functional.batch_norm(
+            x_18,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_12,
+            item_13,
+        )
+        x_18 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_12) = (
+            item_13
+        ) = None
+        x_20 = torch.nn.functional.relu(x_19, inplace=True)
+        x_19 = None
+        x_21 = torch.conv2d(
+            x_20,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_14 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_15 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_22 = torch.nn.functional.batch_norm(
+            x_21,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_14,
+            item_15,
+        )
+        x_21 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_14) = (
+            item_15
+        ) = None
+        x_23 = torch.nn.functional.relu(x_22, inplace=True)
+        x_22 = None
+        x_24 = torch.cat([x_8, x_11, x_14, x_17, x_20, x_23], dim=1)
+        x_8 = x_11 = x_14 = x_17 = x_20 = x_23 = None
+        x_25 = torch.conv2d(
+            x_24,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_24 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_16 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_17 = (
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_26 = torch.nn.functional.batch_norm(
+            x_25,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_16,
+            item_17,
+        )
+        x_25 = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_16) = (
+            item_17
+        ) = None
+        x_27 = torch.nn.functional.relu(x_26, inplace=True)
+        x_26 = None
+        x_28 = torch.nn.functional.max_pool2d(
+            x_27, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_27 = None
+        x_29 = torch.conv2d(
+            x_28,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_18 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_19 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_30 = torch.nn.functional.batch_norm(
+            x_29,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_18,
+            item_19,
+        )
+        x_29 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_18) = (
+            item_19
+        ) = None
+        x_31 = torch.nn.functional.relu(x_30, inplace=True)
+        x_30 = None
+        x_32 = torch.conv2d(
+            x_31,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_20 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_21 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_33 = torch.nn.functional.batch_norm(
+            x_32,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_20,
+            item_21,
+        )
+        x_32 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_20) = (
+            item_21
+        ) = None
+        x_34 = torch.nn.functional.relu(x_33, inplace=True)
+        x_33 = None
+        x_35 = torch.conv2d(
+            x_34,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_22 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_23 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_36 = torch.nn.functional.batch_norm(
+            x_35,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_22,
+            item_23,
+        )
+        x_35 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_22) = (
+            item_23
+        ) = None
+        x_37 = torch.nn.functional.relu(x_36, inplace=True)
+        x_36 = None
+        x_38 = torch.conv2d(
+            x_37,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_24 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_25 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_39 = torch.nn.functional.batch_norm(
+            x_38,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_24,
+            item_25,
+        )
+        x_38 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_24) = (
+            item_25
+        ) = None
+        x_40 = torch.nn.functional.relu(x_39, inplace=True)
+        x_39 = None
+        x_41 = torch.conv2d(
+            x_40,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_26 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_27 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_42 = torch.nn.functional.batch_norm(
+            x_41,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_26,
+            item_27,
+        )
+        x_41 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_26) = (
+            item_27
+        ) = None
+        x_43 = torch.nn.functional.relu(x_42, inplace=True)
+        x_42 = None
+        x_44 = torch.cat([x_28, x_31, x_34, x_37, x_40, x_43], dim=1)
+        x_28 = x_31 = x_34 = x_37 = x_40 = x_43 = None
+        x_45 = torch.conv2d(
+            x_44,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_44 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_28 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_29 = (
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_46 = torch.nn.functional.batch_norm(
+            x_45,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_28,
+            item_29,
+        )
+        x_45 = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_28) = (
+            item_29
+        ) = None
+        x_47 = torch.nn.functional.relu(x_46, inplace=True)
+        x_46 = None
+        x_48 = torch.nn.functional.max_pool2d(
+            x_47, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_47 = None
+        x_49 = torch.conv2d(
+            x_48,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_30 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_31 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_50 = torch.nn.functional.batch_norm(
+            x_49,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_30,
+            item_31,
+        )
+        x_49 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_30) = (
+            item_31
+        ) = None
+        x_51 = torch.nn.functional.relu(x_50, inplace=True)
+        x_50 = None
+        x_52 = torch.conv2d(
+            x_51,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_32 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_33 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_53 = torch.nn.functional.batch_norm(
+            x_52,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_32,
+            item_33,
+        )
+        x_52 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_32) = (
+            item_33
+        ) = None
+        x_54 = torch.nn.functional.relu(x_53, inplace=True)
+        x_53 = None
+        x_55 = torch.conv2d(
+            x_54,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_34 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_35 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_56 = torch.nn.functional.batch_norm(
+            x_55,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_34,
+            item_35,
+        )
+        x_55 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_34) = (
+            item_35
+        ) = None
+        x_57 = torch.nn.functional.relu(x_56, inplace=True)
+        x_56 = None
+        x_58 = torch.conv2d(
+            x_57,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_36 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_37 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_59 = torch.nn.functional.batch_norm(
+            x_58,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_36,
+            item_37,
+        )
+        x_58 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_36) = (
+            item_37
+        ) = None
+        x_60 = torch.nn.functional.relu(x_59, inplace=True)
+        x_59 = None
+        x_61 = torch.conv2d(
+            x_60,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_38 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_39 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_62 = torch.nn.functional.batch_norm(
+            x_61,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_38,
+            item_39,
+        )
+        x_61 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_38) = (
+            item_39
+        ) = None
+        x_63 = torch.nn.functional.relu(x_62, inplace=True)
+        x_62 = None
+        x_64 = torch.cat([x_48, x_51, x_54, x_57, x_60, x_63], dim=1)
+        x_48 = x_51 = x_54 = x_57 = x_60 = x_63 = None
+        x_65 = torch.conv2d(
+            x_64,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_64 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_40 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_41 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_66 = torch.nn.functional.batch_norm(
+            x_65,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_40,
+            item_41,
+        )
+        x_65 = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_40) = (
+            item_41
+        ) = None
+        x_67 = torch.nn.functional.relu(x_66, inplace=True)
+        x_66 = None
+        x_68 = torch.conv2d(
+            x_67,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_42 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_43 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_69 = torch.nn.functional.batch_norm(
+            x_68,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_42,
+            item_43,
+        )
+        x_68 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_42) = (
+            item_43
+        ) = None
+        x_70 = torch.nn.functional.relu(x_69, inplace=True)
+        x_69 = None
+        x_71 = torch.conv2d(
+            x_70,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_44 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_45 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_72 = torch.nn.functional.batch_norm(
+            x_71,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_44,
+            item_45,
+        )
+        x_71 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_44) = (
+            item_45
+        ) = None
+        x_73 = torch.nn.functional.relu(x_72, inplace=True)
+        x_72 = None
+        x_74 = torch.conv2d(
+            x_73,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_46 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_47 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_75 = torch.nn.functional.batch_norm(
+            x_74,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_46,
+            item_47,
+        )
+        x_74 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_46) = (
+            item_47
+        ) = None
+        x_76 = torch.nn.functional.relu(x_75, inplace=True)
+        x_75 = None
+        x_77 = torch.conv2d(
+            x_76,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_48 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_49 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_78 = torch.nn.functional.batch_norm(
+            x_77,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_48,
+            item_49,
+        )
+        x_77 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_48) = (
+            item_49
+        ) = None
+        x_79 = torch.nn.functional.relu(x_78, inplace=True)
+        x_78 = None
+        x_80 = torch.conv2d(
+            x_79,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_50 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_51 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_81 = torch.nn.functional.batch_norm(
+            x_80,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_50,
+            item_51,
+        )
+        x_80 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_50) = (
+            item_51
+        ) = None
+        x_82 = torch.nn.functional.relu(x_81, inplace=True)
+        x_81 = None
+        x_83 = torch.cat([x_67, x_70, x_73, x_76, x_79, x_82], dim=1)
+        x_67 = x_70 = x_73 = x_76 = x_79 = x_82 = None
+        x_84 = torch.conv2d(
+            x_83,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_83 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_52 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_53 = (
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_85 = torch.nn.functional.batch_norm(
+            x_84,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_52,
+            item_53,
+        )
+        x_84 = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (item_52) = (
+            item_53
+        ) = None
+        x_86 = torch.nn.functional.relu(x_85, inplace=True)
+        x_85 = None
+        x_87 = torch.nn.functional.max_pool2d(
+            x_86, 3, 2, 0, 1, ceil_mode=True, return_indices=False
+        )
+        x_86 = None
+        x_88 = torch.conv2d(
+            x_87,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_54 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_55 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_89 = torch.nn.functional.batch_norm(
+            x_88,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_54,
+            item_55,
+        )
+        x_88 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_54) = (
+            item_55
+        ) = None
+        x_90 = torch.nn.functional.relu(x_89, inplace=True)
+        x_89 = None
+        x_91 = torch.conv2d(
+            x_90,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_56 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_57 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_92 = torch.nn.functional.batch_norm(
+            x_91,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_56,
+            item_57,
+        )
+        x_91 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_56) = (
+            item_57
+        ) = None
+        x_93 = torch.nn.functional.relu(x_92, inplace=True)
+        x_92 = None
+        x_94 = torch.conv2d(
+            x_93,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_58 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_59 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_95 = torch.nn.functional.batch_norm(
+            x_94,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_58,
+            item_59,
+        )
+        x_94 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_58) = (
+            item_59
+        ) = None
+        x_96 = torch.nn.functional.relu(x_95, inplace=True)
+        x_95 = None
+        x_97 = torch.conv2d(
+            x_96,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_60 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_61 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_98 = torch.nn.functional.batch_norm(
+            x_97,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_60,
+            item_61,
+        )
+        x_97 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_60) = (
+            item_61
+        ) = None
+        x_99 = torch.nn.functional.relu(x_98, inplace=True)
+        x_98 = None
+        x_100 = torch.conv2d(
+            x_99,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_62 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_63 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_101 = torch.nn.functional.batch_norm(
+            x_100,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_62,
+            item_63,
+        )
+        x_100 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_62) = (
+            item_63
+        ) = None
+        x_102 = torch.nn.functional.relu(x_101, inplace=True)
+        x_101 = None
+        x_103 = torch.cat([x_87, x_90, x_93, x_96, x_99, x_102], dim=1)
+        x_87 = x_90 = x_93 = x_96 = x_99 = x_102 = None
+        x_104 = torch.conv2d(
+            x_103,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_103 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_64 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_65 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_105 = torch.nn.functional.batch_norm(
+            x_104,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_64,
+            item_65,
+        )
+        x_104 = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_ = (item_64) = (
+            item_65
+        ) = None
+        x_106 = torch.nn.functional.relu(x_105, inplace=True)
+        x_105 = None
+        x_107 = torch.conv2d(
+            x_106,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_66 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum = (
+            None
+        )
+        item_67 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps = (
+            None
+        )
+        x_108 = torch.nn.functional.batch_norm(
+            x_107,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_,
+            False,
+            item_66,
+            item_67,
+        )
+        x_107 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_ = (item_66) = (
+            item_67
+        ) = None
+        x_109 = torch.nn.functional.relu(x_108, inplace=True)
+        x_108 = None
+        x_110 = torch.conv2d(
+            x_109,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_68 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum = (
+            None
+        )
+        item_69 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps = (
+            None
+        )
+        x_111 = torch.nn.functional.batch_norm(
+            x_110,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_,
+            False,
+            item_68,
+            item_69,
+        )
+        x_110 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_ = (item_68) = (
+            item_69
+        ) = None
+        x_112 = torch.nn.functional.relu(x_111, inplace=True)
+        x_111 = None
+        x_113 = torch.conv2d(
+            x_112,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_70 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum = (
+            None
+        )
+        item_71 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps = (
+            None
+        )
+        x_114 = torch.nn.functional.batch_norm(
+            x_113,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_,
+            False,
+            item_70,
+            item_71,
+        )
+        x_113 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_ = (item_70) = (
+            item_71
+        ) = None
+        x_115 = torch.nn.functional.relu(x_114, inplace=True)
+        x_114 = None
+        x_116 = torch.conv2d(
+            x_115,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_72 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum = (
+            None
+        )
+        item_73 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps = (
+            None
+        )
+        x_117 = torch.nn.functional.batch_norm(
+            x_116,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_,
+            False,
+            item_72,
+            item_73,
+        )
+        x_116 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_ = (item_72) = (
+            item_73
+        ) = None
+        x_118 = torch.nn.functional.relu(x_117, inplace=True)
+        x_117 = None
+        x_119 = torch.conv2d(
+            x_118,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_ = (
+            None
+        )
+        item_74 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum = (
+            None
+        )
+        item_75 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps = (
+            None
+        )
+        x_120 = torch.nn.functional.batch_norm(
+            x_119,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_,
+            False,
+            item_74,
+            item_75,
+        )
+        x_119 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_ = (item_74) = (
+            item_75
+        ) = None
+        x_121 = torch.nn.functional.relu(x_120, inplace=True)
+        x_120 = None
+        x_122 = torch.cat([x_106, x_109, x_112, x_115, x_118, x_121], dim=1)
+        x_106 = x_109 = x_112 = x_115 = x_118 = x_121 = None
+        x_123 = torch.conv2d(
+            x_122,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        x_122 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_ = (None)
+        item_76 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum = (
+            None
+        )
+        item_77 = (
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps.item()
+        )
+        l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps = (
+            None
+        )
+        x_124 = torch.nn.functional.batch_norm(
+            x_123,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_,
+            l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_,
+            False,
+            item_76,
+            item_77,
+        )
+        x_123 = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_ = l_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_ = (item_76) = (
+            item_77
+        ) = None
+        x_125 = torch.nn.functional.relu(x_124, inplace=True)
+        x_124 = None
+        x_126 = torch.nn.functional.adaptive_avg_pool2d(x_125, 1)
+        x_125 = None
+        x_127 = x_126.flatten(1, -1)
+        x_126 = None
+        item_78 = l_self_modules_head_modules_drop_p.item()
+        l_self_modules_head_modules_drop_p = None
+        x_128 = torch.nn.functional.dropout(x_127, item_78, False, False)
+        x_127 = item_78 = None
+        x_129 = torch.nn.functional.linear(
+            x_128,
+            l_self_modules_head_modules_fc_parameters_weight_,
+            l_self_modules_head_modules_fc_parameters_bias_,
+        )
+        x_128 = (
+            l_self_modules_head_modules_fc_parameters_weight_
+        ) = l_self_modules_head_modules_fc_parameters_bias_ = None
+        return (x_129,)
diff --git a/samples/timm/vovnet39a/weight_meta.py b/samples/timm/vovnet39a/weight_meta.py
new file mode 100644
index 000000000..e28a7fcf5
--- /dev/null
+++ b/samples/timm/vovnet39a/weight_meta.py
@@ -0,0 +1,2778 @@
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_conv_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_s53:
+    name = "s53"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.501
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stem_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_0_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_0_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_0_modules_bn_eps:
+    name = "L_self_modules_stem_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_conv_parameters_weight_"
+    shape = [64, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stem_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_1_modules_bn_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_1_modules_bn_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_1_modules_bn_eps:
+    name = "L_self_modules_stem_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 64, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stem_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stem_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stem_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stem_modules_2_modules_bn_eps:
+    name = "L_self_modules_stem_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [128, 128, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [128]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [256, 768, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [256]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_0_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [160, 256, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [160, 160, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [512, 1056, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [512]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_1_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 512, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1472, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [192, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [192, 192, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [768, 1728, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [768]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_2_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 768, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 1888, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_0_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_conv_parameters_weight_"
+    shape = [224, 1024, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_0_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_1_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_2_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_3_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_conv_parameters_weight_"
+    shape = [224, 224, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_mid_modules_4_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_conv_parameters_weight_"
+    shape = [1024, 2144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_momentum"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.100
+    std = 0.000
+    data = [0.100000]
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_mean_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_buffers_running_var_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_weight_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_parameters_bias_"
+    shape = [1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps:
+    name = "L_self_modules_stages_modules_3_modules_blocks_modules_1_modules_conv_concat_modules_bn_eps"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000010]
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_drop_p:
+    name = "L_self_modules_head_modules_drop_p"
+    shape = []
+    dtype = "torch.float64"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = [0.000000]
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_weight_:
+    name = "L_self_modules_head_modules_fc_parameters_weight_"
+    shape = [1000, 1024]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_head_modules_fc_parameters_bias_:
+    name = "L_self_modules_head_modules_fc_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None