diff --git a/samples/torchvision/efficientnet_b7/graph_hash.txt b/samples/torchvision/efficientnet_b7/graph_hash.txt
new file mode 100644
index 0000000000..01e58fa495
--- /dev/null
+++ b/samples/torchvision/efficientnet_b7/graph_hash.txt
@@ -0,0 +1 @@
+de7c7c5f7a021703f28843bf59e50863ef7d5abd3cf9d761ca54515f4f04676c
\ No newline at end of file
diff --git a/samples/torchvision/efficientnet_b7/graph_net.json b/samples/torchvision/efficientnet_b7/graph_net.json
new file mode 100644
index 0000000000..1373fe3b58
--- /dev/null
+++ b/samples/torchvision/efficientnet_b7/graph_net.json
@@ -0,0 +1,5 @@
+{
+    "framework": "torch",
+    "num_devices_required": 1,
+    "num_nodes_required": 1
+}
\ No newline at end of file
diff --git a/samples/torchvision/efficientnet_b7/input_meta.py b/samples/torchvision/efficientnet_b7/input_meta.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/samples/torchvision/efficientnet_b7/input_tensor_constraints.py b/samples/torchvision/efficientnet_b7/input_tensor_constraints.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/samples/torchvision/efficientnet_b7/model.py b/samples/torchvision/efficientnet_b7/model.py
new file mode 100644
index 0000000000..1718bfee5c
--- /dev/null
+++ b/samples/torchvision/efficientnet_b7/model.py
@@ -0,0 +1,7693 @@
+import torch
+
+
+class GraphModule(torch.nn.Module):
+    def forward(
+        self,
+        L_self_modules_features_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        s1: torch.SymInt,
+        L_x_: torch.Tensor,
+        L_self_modules_features_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_8_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_8_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_8_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_8_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_8_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_classifier_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+    ):
+        l_self_modules_features_modules_0_modules_0_parameters_weight_ = (
+            L_self_modules_features_modules_0_modules_0_parameters_weight_
+        )
+        l_x_ = L_x_
+        l_self_modules_features_modules_0_modules_1_buffers_running_mean_ = (
+            L_self_modules_features_modules_0_modules_1_buffers_running_mean_
+        )
+        l_self_modules_features_modules_0_modules_1_buffers_running_var_ = (
+            L_self_modules_features_modules_0_modules_1_buffers_running_var_
+        )
+        l_self_modules_features_modules_0_modules_1_parameters_weight_ = (
+            L_self_modules_features_modules_0_modules_1_parameters_weight_
+        )
+        l_self_modules_features_modules_0_modules_1_parameters_bias_ = (
+            L_self_modules_features_modules_0_modules_1_parameters_bias_
+        )
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_ = L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_
+        l_self_modules_features_modules_8_modules_0_parameters_weight_ = (
+            L_self_modules_features_modules_8_modules_0_parameters_weight_
+        )
+        l_self_modules_features_modules_8_modules_1_buffers_running_mean_ = (
+            L_self_modules_features_modules_8_modules_1_buffers_running_mean_
+        )
+        l_self_modules_features_modules_8_modules_1_buffers_running_var_ = (
+            L_self_modules_features_modules_8_modules_1_buffers_running_var_
+        )
+        l_self_modules_features_modules_8_modules_1_parameters_weight_ = (
+            L_self_modules_features_modules_8_modules_1_parameters_weight_
+        )
+        l_self_modules_features_modules_8_modules_1_parameters_bias_ = (
+            L_self_modules_features_modules_8_modules_1_parameters_bias_
+        )
+        l_self_modules_classifier_modules_1_parameters_weight_ = (
+            L_self_modules_classifier_modules_1_parameters_weight_
+        )
+        l_self_modules_classifier_modules_1_parameters_bias_ = (
+            L_self_modules_classifier_modules_1_parameters_bias_
+        )
+        input_1 = torch.conv2d(
+            l_x_,
+            l_self_modules_features_modules_0_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            1,
+        )
+        l_x_ = l_self_modules_features_modules_0_modules_0_parameters_weight_ = None
+        input_2 = torch.nn.functional.batch_norm(
+            input_1,
+            l_self_modules_features_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_1 = (
+            l_self_modules_features_modules_0_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_0_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_0_modules_1_parameters_weight_
+        ) = l_self_modules_features_modules_0_modules_1_parameters_bias_ = None
+        input_3 = torch.nn.functional.silu(input_2, inplace=True)
+        input_2 = None
+        input_4 = torch.conv2d(
+            input_3,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            64,
+        )
+        input_3 = l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_5 = torch.nn.functional.batch_norm(
+            input_4,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_4 = l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_6 = torch.nn.functional.silu(input_5, inplace=True)
+        input_5 = None
+        scale = torch.nn.functional.adaptive_avg_pool2d(input_6, 1)
+        scale_1 = torch.conv2d(
+            scale,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale = l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_ = (None)
+        scale_2 = torch.nn.functional.silu(scale_1, inplace=True)
+        scale_1 = None
+        scale_3 = torch.conv2d(
+            scale_2,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_2 = l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_ = (None)
+        scale_4 = torch.sigmoid(scale_3)
+        scale_3 = None
+        input_7 = scale_4 * input_6
+        scale_4 = input_6 = None
+        input_8 = torch.conv2d(
+            input_7,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_7 = l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_ = (None)
+        input_9 = torch.nn.functional.batch_norm(
+            input_8,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_8 = l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_ = (None)
+        input_10 = torch.conv2d(
+            input_9,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_11 = torch.nn.functional.batch_norm(
+            input_10,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_10 = l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_12 = torch.nn.functional.silu(input_11, inplace=True)
+        input_11 = None
+        scale_5 = torch.nn.functional.adaptive_avg_pool2d(input_12, 1)
+        scale_6 = torch.conv2d(
+            scale_5,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_5 = l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_ = (None)
+        scale_7 = torch.nn.functional.silu(scale_6, inplace=True)
+        scale_6 = None
+        scale_8 = torch.conv2d(
+            scale_7,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_7 = l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_ = (None)
+        scale_9 = torch.sigmoid(scale_8)
+        scale_8 = None
+        input_13 = scale_9 * input_12
+        scale_9 = input_12 = None
+        input_14 = torch.conv2d(
+            input_13,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_13 = l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_ = (None)
+        input_15 = torch.nn.functional.batch_norm(
+            input_14,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_14 = l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once = None
+        input_15 += input_9
+        result = input_15
+        input_15 = input_9 = None
+        input_16 = torch.conv2d(
+            result,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_16 = l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_18 = torch.nn.functional.silu(input_17, inplace=True)
+        input_17 = None
+        scale_10 = torch.nn.functional.adaptive_avg_pool2d(input_18, 1)
+        scale_11 = torch.conv2d(
+            scale_10,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_10 = l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_ = (None)
+        scale_12 = torch.nn.functional.silu(scale_11, inplace=True)
+        scale_11 = None
+        scale_13 = torch.conv2d(
+            scale_12,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_12 = l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_ = (None)
+        scale_14 = torch.sigmoid(scale_13)
+        scale_13 = None
+        input_19 = scale_14 * input_18
+        scale_14 = input_18 = None
+        input_20 = torch.conv2d(
+            input_19,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_19 = l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_ = (None)
+        input_21 = torch.nn.functional.batch_norm(
+            input_20,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_20 = l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_1 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_1 = None
+        input_21 += result
+        result_1 = input_21
+        input_21 = result = None
+        input_22 = torch.conv2d(
+            result_1,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            32,
+        )
+        l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_23 = torch.nn.functional.batch_norm(
+            input_22,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_22 = l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_24 = torch.nn.functional.silu(input_23, inplace=True)
+        input_23 = None
+        scale_15 = torch.nn.functional.adaptive_avg_pool2d(input_24, 1)
+        scale_16 = torch.conv2d(
+            scale_15,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_15 = l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_ = (None)
+        scale_17 = torch.nn.functional.silu(scale_16, inplace=True)
+        scale_16 = None
+        scale_18 = torch.conv2d(
+            scale_17,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_17 = l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_ = (None)
+        scale_19 = torch.sigmoid(scale_18)
+        scale_18 = None
+        input_25 = scale_19 * input_24
+        scale_19 = input_24 = None
+        input_26 = torch.conv2d(
+            input_25,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_25 = l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_ = (None)
+        input_27 = torch.nn.functional.batch_norm(
+            input_26,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_,
+            l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_26 = l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_ = l_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_2 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_2 = None
+        input_27 += result_1
+        result_2 = input_27
+        input_27 = result_1 = None
+        input_28 = torch.conv2d(
+            result_2,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_2 = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_29 = torch.nn.functional.batch_norm(
+            input_28,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_28 = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_30 = torch.nn.functional.silu(input_29, inplace=True)
+        input_29 = None
+        input_31 = torch.conv2d(
+            input_30,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            192,
+        )
+        input_30 = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_32 = torch.nn.functional.batch_norm(
+            input_31,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_31 = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_33 = torch.nn.functional.silu(input_32, inplace=True)
+        input_32 = None
+        scale_20 = torch.nn.functional.adaptive_avg_pool2d(input_33, 1)
+        scale_21 = torch.conv2d(
+            scale_20,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_20 = l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_22 = torch.nn.functional.silu(scale_21, inplace=True)
+        scale_21 = None
+        scale_23 = torch.conv2d(
+            scale_22,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_22 = l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_24 = torch.sigmoid(scale_23)
+        scale_23 = None
+        input_34 = scale_24 * input_33
+        scale_24 = input_33 = None
+        input_35 = torch.conv2d(
+            input_34,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_34 = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_36 = torch.nn.functional.batch_norm(
+            input_35,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_35 = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_37 = torch.conv2d(
+            input_36,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_37 = l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_39 = torch.nn.functional.silu(input_38, inplace=True)
+        input_38 = None
+        input_40 = torch.conv2d(
+            input_39,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_39 = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_41 = torch.nn.functional.batch_norm(
+            input_40,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_40 = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_42 = torch.nn.functional.silu(input_41, inplace=True)
+        input_41 = None
+        scale_25 = torch.nn.functional.adaptive_avg_pool2d(input_42, 1)
+        scale_26 = torch.conv2d(
+            scale_25,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_25 = l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_27 = torch.nn.functional.silu(scale_26, inplace=True)
+        scale_26 = None
+        scale_28 = torch.conv2d(
+            scale_27,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_27 = l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_29 = torch.sigmoid(scale_28)
+        scale_28 = None
+        input_43 = scale_29 * input_42
+        scale_29 = input_42 = None
+        input_44 = torch.conv2d(
+            input_43,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_43 = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_45 = torch.nn.functional.batch_norm(
+            input_44,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_44 = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_3 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_3 = None
+        input_45 += input_36
+        result_3 = input_45
+        input_45 = input_36 = None
+        input_46 = torch.conv2d(
+            result_3,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_47 = torch.nn.functional.batch_norm(
+            input_46,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_46 = l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_48 = torch.nn.functional.silu(input_47, inplace=True)
+        input_47 = None
+        input_49 = torch.conv2d(
+            input_48,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_48 = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_50 = torch.nn.functional.batch_norm(
+            input_49,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_49 = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_51 = torch.nn.functional.silu(input_50, inplace=True)
+        input_50 = None
+        scale_30 = torch.nn.functional.adaptive_avg_pool2d(input_51, 1)
+        scale_31 = torch.conv2d(
+            scale_30,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_30 = l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_32 = torch.nn.functional.silu(scale_31, inplace=True)
+        scale_31 = None
+        scale_33 = torch.conv2d(
+            scale_32,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_32 = l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_34 = torch.sigmoid(scale_33)
+        scale_33 = None
+        input_52 = scale_34 * input_51
+        scale_34 = input_51 = None
+        input_53 = torch.conv2d(
+            input_52,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_52 = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_54 = torch.nn.functional.batch_norm(
+            input_53,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_53 = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_4 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_4 = None
+        input_54 += result_3
+        result_4 = input_54
+        input_54 = result_3 = None
+        input_55 = torch.conv2d(
+            result_4,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_56 = torch.nn.functional.batch_norm(
+            input_55,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_55 = l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_57 = torch.nn.functional.silu(input_56, inplace=True)
+        input_56 = None
+        input_58 = torch.conv2d(
+            input_57,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_57 = l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_59 = torch.nn.functional.batch_norm(
+            input_58,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_58 = l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_60 = torch.nn.functional.silu(input_59, inplace=True)
+        input_59 = None
+        scale_35 = torch.nn.functional.adaptive_avg_pool2d(input_60, 1)
+        scale_36 = torch.conv2d(
+            scale_35,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_35 = l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_37 = torch.nn.functional.silu(scale_36, inplace=True)
+        scale_36 = None
+        scale_38 = torch.conv2d(
+            scale_37,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_37 = l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_39 = torch.sigmoid(scale_38)
+        scale_38 = None
+        input_61 = scale_39 * input_60
+        scale_39 = input_60 = None
+        input_62 = torch.conv2d(
+            input_61,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_61 = l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_63 = torch.nn.functional.batch_norm(
+            input_62,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_62 = l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_5 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_5 = None
+        input_63 += result_4
+        result_5 = input_63
+        input_63 = result_4 = None
+        input_64 = torch.conv2d(
+            result_5,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_65 = torch.nn.functional.batch_norm(
+            input_64,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_64 = l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_66 = torch.nn.functional.silu(input_65, inplace=True)
+        input_65 = None
+        input_67 = torch.conv2d(
+            input_66,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_66 = l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_68 = torch.nn.functional.batch_norm(
+            input_67,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_67 = l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_69 = torch.nn.functional.silu(input_68, inplace=True)
+        input_68 = None
+        scale_40 = torch.nn.functional.adaptive_avg_pool2d(input_69, 1)
+        scale_41 = torch.conv2d(
+            scale_40,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_40 = l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_42 = torch.nn.functional.silu(scale_41, inplace=True)
+        scale_41 = None
+        scale_43 = torch.conv2d(
+            scale_42,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_42 = l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_44 = torch.sigmoid(scale_43)
+        scale_43 = None
+        input_70 = scale_44 * input_69
+        scale_44 = input_69 = None
+        input_71 = torch.conv2d(
+            input_70,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_70 = l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_72 = torch.nn.functional.batch_norm(
+            input_71,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_71 = l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_6 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_6 = None
+        input_72 += result_5
+        result_6 = input_72
+        input_72 = result_5 = None
+        input_73 = torch.conv2d(
+            result_6,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_74 = torch.nn.functional.batch_norm(
+            input_73,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_73 = l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_75 = torch.nn.functional.silu(input_74, inplace=True)
+        input_74 = None
+        input_76 = torch.conv2d(
+            input_75,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_75 = l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_77 = torch.nn.functional.batch_norm(
+            input_76,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_76 = l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_78 = torch.nn.functional.silu(input_77, inplace=True)
+        input_77 = None
+        scale_45 = torch.nn.functional.adaptive_avg_pool2d(input_78, 1)
+        scale_46 = torch.conv2d(
+            scale_45,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_45 = l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_47 = torch.nn.functional.silu(scale_46, inplace=True)
+        scale_46 = None
+        scale_48 = torch.conv2d(
+            scale_47,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_47 = l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_49 = torch.sigmoid(scale_48)
+        scale_48 = None
+        input_79 = scale_49 * input_78
+        scale_49 = input_78 = None
+        input_80 = torch.conv2d(
+            input_79,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_79 = l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_81 = torch.nn.functional.batch_norm(
+            input_80,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_80 = l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_7 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_7 = None
+        input_81 += result_6
+        result_7 = input_81
+        input_81 = result_6 = None
+        input_82 = torch.conv2d(
+            result_7,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_83 = torch.nn.functional.batch_norm(
+            input_82,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_82 = l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_84 = torch.nn.functional.silu(input_83, inplace=True)
+        input_83 = None
+        input_85 = torch.conv2d(
+            input_84,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_84 = l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_86 = torch.nn.functional.batch_norm(
+            input_85,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_85 = l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_87 = torch.nn.functional.silu(input_86, inplace=True)
+        input_86 = None
+        scale_50 = torch.nn.functional.adaptive_avg_pool2d(input_87, 1)
+        scale_51 = torch.conv2d(
+            scale_50,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_50 = l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_52 = torch.nn.functional.silu(scale_51, inplace=True)
+        scale_51 = None
+        scale_53 = torch.conv2d(
+            scale_52,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_52 = l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_54 = torch.sigmoid(scale_53)
+        scale_53 = None
+        input_88 = scale_54 * input_87
+        scale_54 = input_87 = None
+        input_89 = torch.conv2d(
+            input_88,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_88 = l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_90 = torch.nn.functional.batch_norm(
+            input_89,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_89 = l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_8 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_8 = None
+        input_90 += result_7
+        result_8 = input_90
+        input_90 = result_7 = None
+        input_91 = torch.conv2d(
+            result_8,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_8 = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_92 = torch.nn.functional.batch_norm(
+            input_91,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_91 = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_93 = torch.nn.functional.silu(input_92, inplace=True)
+        input_92 = None
+        input_94 = torch.conv2d(
+            input_93,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        input_93 = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_95 = torch.nn.functional.batch_norm(
+            input_94,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_94 = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_96 = torch.nn.functional.silu(input_95, inplace=True)
+        input_95 = None
+        scale_55 = torch.nn.functional.adaptive_avg_pool2d(input_96, 1)
+        scale_56 = torch.conv2d(
+            scale_55,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_55 = l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_57 = torch.nn.functional.silu(scale_56, inplace=True)
+        scale_56 = None
+        scale_58 = torch.conv2d(
+            scale_57,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_57 = l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_59 = torch.sigmoid(scale_58)
+        scale_58 = None
+        input_97 = scale_59 * input_96
+        scale_59 = input_96 = None
+        input_98 = torch.conv2d(
+            input_97,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_97 = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_99 = torch.nn.functional.batch_norm(
+            input_98,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_98 = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_100 = torch.conv2d(
+            input_99,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_101 = torch.nn.functional.batch_norm(
+            input_100,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_100 = l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_102 = torch.nn.functional.silu(input_101, inplace=True)
+        input_101 = None
+        input_103 = torch.conv2d(
+            input_102,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_102 = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_104 = torch.nn.functional.batch_norm(
+            input_103,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_103 = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_105 = torch.nn.functional.silu(input_104, inplace=True)
+        input_104 = None
+        scale_60 = torch.nn.functional.adaptive_avg_pool2d(input_105, 1)
+        scale_61 = torch.conv2d(
+            scale_60,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_60 = l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_62 = torch.nn.functional.silu(scale_61, inplace=True)
+        scale_61 = None
+        scale_63 = torch.conv2d(
+            scale_62,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_62 = l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_64 = torch.sigmoid(scale_63)
+        scale_63 = None
+        input_106 = scale_64 * input_105
+        scale_64 = input_105 = None
+        input_107 = torch.conv2d(
+            input_106,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_106 = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_108 = torch.nn.functional.batch_norm(
+            input_107,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_107 = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_9 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_9 = None
+        input_108 += input_99
+        result_9 = input_108
+        input_108 = input_99 = None
+        input_109 = torch.conv2d(
+            result_9,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_110 = torch.nn.functional.batch_norm(
+            input_109,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_109 = l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_111 = torch.nn.functional.silu(input_110, inplace=True)
+        input_110 = None
+        input_112 = torch.conv2d(
+            input_111,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_111 = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_113 = torch.nn.functional.batch_norm(
+            input_112,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_112 = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_114 = torch.nn.functional.silu(input_113, inplace=True)
+        input_113 = None
+        scale_65 = torch.nn.functional.adaptive_avg_pool2d(input_114, 1)
+        scale_66 = torch.conv2d(
+            scale_65,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_65 = l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_67 = torch.nn.functional.silu(scale_66, inplace=True)
+        scale_66 = None
+        scale_68 = torch.conv2d(
+            scale_67,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_67 = l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_69 = torch.sigmoid(scale_68)
+        scale_68 = None
+        input_115 = scale_69 * input_114
+        scale_69 = input_114 = None
+        input_116 = torch.conv2d(
+            input_115,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_115 = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_117 = torch.nn.functional.batch_norm(
+            input_116,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_116 = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_10 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_10 = None
+        input_117 += result_9
+        result_10 = input_117
+        input_117 = result_9 = None
+        input_118 = torch.conv2d(
+            result_10,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_119 = torch.nn.functional.batch_norm(
+            input_118,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_118 = l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_120 = torch.nn.functional.silu(input_119, inplace=True)
+        input_119 = None
+        input_121 = torch.conv2d(
+            input_120,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_120 = l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_122 = torch.nn.functional.batch_norm(
+            input_121,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_121 = l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_123 = torch.nn.functional.silu(input_122, inplace=True)
+        input_122 = None
+        scale_70 = torch.nn.functional.adaptive_avg_pool2d(input_123, 1)
+        scale_71 = torch.conv2d(
+            scale_70,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_70 = l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_72 = torch.nn.functional.silu(scale_71, inplace=True)
+        scale_71 = None
+        scale_73 = torch.conv2d(
+            scale_72,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_72 = l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_74 = torch.sigmoid(scale_73)
+        scale_73 = None
+        input_124 = scale_74 * input_123
+        scale_74 = input_123 = None
+        input_125 = torch.conv2d(
+            input_124,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_124 = l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_126 = torch.nn.functional.batch_norm(
+            input_125,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_125 = l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_11 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_11 = None
+        input_126 += result_10
+        result_11 = input_126
+        input_126 = result_10 = None
+        input_127 = torch.conv2d(
+            result_11,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_128 = torch.nn.functional.batch_norm(
+            input_127,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_127 = l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_129 = torch.nn.functional.silu(input_128, inplace=True)
+        input_128 = None
+        input_130 = torch.conv2d(
+            input_129,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_129 = l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_131 = torch.nn.functional.batch_norm(
+            input_130,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_130 = l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_132 = torch.nn.functional.silu(input_131, inplace=True)
+        input_131 = None
+        scale_75 = torch.nn.functional.adaptive_avg_pool2d(input_132, 1)
+        scale_76 = torch.conv2d(
+            scale_75,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_75 = l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_77 = torch.nn.functional.silu(scale_76, inplace=True)
+        scale_76 = None
+        scale_78 = torch.conv2d(
+            scale_77,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_77 = l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_79 = torch.sigmoid(scale_78)
+        scale_78 = None
+        input_133 = scale_79 * input_132
+        scale_79 = input_132 = None
+        input_134 = torch.conv2d(
+            input_133,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_133 = l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_135 = torch.nn.functional.batch_norm(
+            input_134,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_134 = l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_12 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_12 = None
+        input_135 += result_11
+        result_12 = input_135
+        input_135 = result_11 = None
+        input_136 = torch.conv2d(
+            result_12,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_137 = torch.nn.functional.batch_norm(
+            input_136,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_136 = l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_138 = torch.nn.functional.silu(input_137, inplace=True)
+        input_137 = None
+        input_139 = torch.conv2d(
+            input_138,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_138 = l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_140 = torch.nn.functional.batch_norm(
+            input_139,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_139 = l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_141 = torch.nn.functional.silu(input_140, inplace=True)
+        input_140 = None
+        scale_80 = torch.nn.functional.adaptive_avg_pool2d(input_141, 1)
+        scale_81 = torch.conv2d(
+            scale_80,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_80 = l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_82 = torch.nn.functional.silu(scale_81, inplace=True)
+        scale_81 = None
+        scale_83 = torch.conv2d(
+            scale_82,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_82 = l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_84 = torch.sigmoid(scale_83)
+        scale_83 = None
+        input_142 = scale_84 * input_141
+        scale_84 = input_141 = None
+        input_143 = torch.conv2d(
+            input_142,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_142 = l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_144 = torch.nn.functional.batch_norm(
+            input_143,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_143 = l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_13 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_13 = None
+        input_144 += result_12
+        result_13 = input_144
+        input_144 = result_12 = None
+        input_145 = torch.conv2d(
+            result_13,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_146 = torch.nn.functional.batch_norm(
+            input_145,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_145 = l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_147 = torch.nn.functional.silu(input_146, inplace=True)
+        input_146 = None
+        input_148 = torch.conv2d(
+            input_147,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            480,
+        )
+        input_147 = l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_149 = torch.nn.functional.batch_norm(
+            input_148,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_148 = l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_150 = torch.nn.functional.silu(input_149, inplace=True)
+        input_149 = None
+        scale_85 = torch.nn.functional.adaptive_avg_pool2d(input_150, 1)
+        scale_86 = torch.conv2d(
+            scale_85,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_85 = l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_87 = torch.nn.functional.silu(scale_86, inplace=True)
+        scale_86 = None
+        scale_88 = torch.conv2d(
+            scale_87,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_87 = l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_89 = torch.sigmoid(scale_88)
+        scale_88 = None
+        input_151 = scale_89 * input_150
+        scale_89 = input_150 = None
+        input_152 = torch.conv2d(
+            input_151,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_151 = l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_153 = torch.nn.functional.batch_norm(
+            input_152,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_152 = l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_14 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_14 = None
+        input_153 += result_13
+        result_14 = input_153
+        input_153 = result_13 = None
+        input_154 = torch.conv2d(
+            result_14,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_14 = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_155 = torch.nn.functional.batch_norm(
+            input_154,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_154 = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_156 = torch.nn.functional.silu(input_155, inplace=True)
+        input_155 = None
+        input_157 = torch.conv2d(
+            input_156,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            480,
+        )
+        input_156 = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_158 = torch.nn.functional.batch_norm(
+            input_157,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_157 = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_159 = torch.nn.functional.silu(input_158, inplace=True)
+        input_158 = None
+        scale_90 = torch.nn.functional.adaptive_avg_pool2d(input_159, 1)
+        scale_91 = torch.conv2d(
+            scale_90,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_90 = l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_92 = torch.nn.functional.silu(scale_91, inplace=True)
+        scale_91 = None
+        scale_93 = torch.conv2d(
+            scale_92,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_92 = l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_94 = torch.sigmoid(scale_93)
+        scale_93 = None
+        input_160 = scale_94 * input_159
+        scale_94 = input_159 = None
+        input_161 = torch.conv2d(
+            input_160,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_160 = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_162 = torch.nn.functional.batch_norm(
+            input_161,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_161 = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_163 = torch.conv2d(
+            input_162,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_164 = torch.nn.functional.batch_norm(
+            input_163,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_163 = l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_165 = torch.nn.functional.silu(input_164, inplace=True)
+        input_164 = None
+        input_166 = torch.conv2d(
+            input_165,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_165 = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_167 = torch.nn.functional.batch_norm(
+            input_166,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_166 = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_168 = torch.nn.functional.silu(input_167, inplace=True)
+        input_167 = None
+        scale_95 = torch.nn.functional.adaptive_avg_pool2d(input_168, 1)
+        scale_96 = torch.conv2d(
+            scale_95,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_95 = l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_97 = torch.nn.functional.silu(scale_96, inplace=True)
+        scale_96 = None
+        scale_98 = torch.conv2d(
+            scale_97,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_97 = l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_99 = torch.sigmoid(scale_98)
+        scale_98 = None
+        input_169 = scale_99 * input_168
+        scale_99 = input_168 = None
+        input_170 = torch.conv2d(
+            input_169,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_169 = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_171 = torch.nn.functional.batch_norm(
+            input_170,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_170 = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_15 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_15 = None
+        input_171 += input_162
+        result_15 = input_171
+        input_171 = input_162 = None
+        input_172 = torch.conv2d(
+            result_15,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_173 = torch.nn.functional.batch_norm(
+            input_172,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_172 = l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_174 = torch.nn.functional.silu(input_173, inplace=True)
+        input_173 = None
+        input_175 = torch.conv2d(
+            input_174,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_174 = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_176 = torch.nn.functional.batch_norm(
+            input_175,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_175 = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_177 = torch.nn.functional.silu(input_176, inplace=True)
+        input_176 = None
+        scale_100 = torch.nn.functional.adaptive_avg_pool2d(input_177, 1)
+        scale_101 = torch.conv2d(
+            scale_100,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_100 = l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_102 = torch.nn.functional.silu(scale_101, inplace=True)
+        scale_101 = None
+        scale_103 = torch.conv2d(
+            scale_102,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_102 = l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_104 = torch.sigmoid(scale_103)
+        scale_103 = None
+        input_178 = scale_104 * input_177
+        scale_104 = input_177 = None
+        input_179 = torch.conv2d(
+            input_178,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_178 = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_180 = torch.nn.functional.batch_norm(
+            input_179,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_179 = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_16 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_16 = None
+        input_180 += result_15
+        result_16 = input_180
+        input_180 = result_15 = None
+        input_181 = torch.conv2d(
+            result_16,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_182 = torch.nn.functional.batch_norm(
+            input_181,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_181 = l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_183 = torch.nn.functional.silu(input_182, inplace=True)
+        input_182 = None
+        input_184 = torch.conv2d(
+            input_183,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_183 = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_185 = torch.nn.functional.batch_norm(
+            input_184,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_184 = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_186 = torch.nn.functional.silu(input_185, inplace=True)
+        input_185 = None
+        scale_105 = torch.nn.functional.adaptive_avg_pool2d(input_186, 1)
+        scale_106 = torch.conv2d(
+            scale_105,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_105 = l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_107 = torch.nn.functional.silu(scale_106, inplace=True)
+        scale_106 = None
+        scale_108 = torch.conv2d(
+            scale_107,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_107 = l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_109 = torch.sigmoid(scale_108)
+        scale_108 = None
+        input_187 = scale_109 * input_186
+        scale_109 = input_186 = None
+        input_188 = torch.conv2d(
+            input_187,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_187 = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_189 = torch.nn.functional.batch_norm(
+            input_188,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_188 = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_17 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_17 = None
+        input_189 += result_16
+        result_17 = input_189
+        input_189 = result_16 = None
+        input_190 = torch.conv2d(
+            result_17,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_191 = torch.nn.functional.batch_norm(
+            input_190,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_190 = l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_192 = torch.nn.functional.silu(input_191, inplace=True)
+        input_191 = None
+        input_193 = torch.conv2d(
+            input_192,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_192 = l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_194 = torch.nn.functional.batch_norm(
+            input_193,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_193 = l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_195 = torch.nn.functional.silu(input_194, inplace=True)
+        input_194 = None
+        scale_110 = torch.nn.functional.adaptive_avg_pool2d(input_195, 1)
+        scale_111 = torch.conv2d(
+            scale_110,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_110 = l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_112 = torch.nn.functional.silu(scale_111, inplace=True)
+        scale_111 = None
+        scale_113 = torch.conv2d(
+            scale_112,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_112 = l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_114 = torch.sigmoid(scale_113)
+        scale_113 = None
+        input_196 = scale_114 * input_195
+        scale_114 = input_195 = None
+        input_197 = torch.conv2d(
+            input_196,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_196 = l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_198 = torch.nn.functional.batch_norm(
+            input_197,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_197 = l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_18 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_18 = None
+        input_198 += result_17
+        result_18 = input_198
+        input_198 = result_17 = None
+        input_199 = torch.conv2d(
+            result_18,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_200 = torch.nn.functional.batch_norm(
+            input_199,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_199 = l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_201 = torch.nn.functional.silu(input_200, inplace=True)
+        input_200 = None
+        input_202 = torch.conv2d(
+            input_201,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_201 = l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_203 = torch.nn.functional.batch_norm(
+            input_202,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_202 = l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_204 = torch.nn.functional.silu(input_203, inplace=True)
+        input_203 = None
+        scale_115 = torch.nn.functional.adaptive_avg_pool2d(input_204, 1)
+        scale_116 = torch.conv2d(
+            scale_115,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_115 = l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_117 = torch.nn.functional.silu(scale_116, inplace=True)
+        scale_116 = None
+        scale_118 = torch.conv2d(
+            scale_117,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_117 = l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_119 = torch.sigmoid(scale_118)
+        scale_118 = None
+        input_205 = scale_119 * input_204
+        scale_119 = input_204 = None
+        input_206 = torch.conv2d(
+            input_205,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_205 = l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_207 = torch.nn.functional.batch_norm(
+            input_206,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_206 = l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_19 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_19 = None
+        input_207 += result_18
+        result_19 = input_207
+        input_207 = result_18 = None
+        input_208 = torch.conv2d(
+            result_19,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_209 = torch.nn.functional.batch_norm(
+            input_208,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_208 = l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_210 = torch.nn.functional.silu(input_209, inplace=True)
+        input_209 = None
+        input_211 = torch.conv2d(
+            input_210,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_210 = l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_212 = torch.nn.functional.batch_norm(
+            input_211,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_211 = l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_213 = torch.nn.functional.silu(input_212, inplace=True)
+        input_212 = None
+        scale_120 = torch.nn.functional.adaptive_avg_pool2d(input_213, 1)
+        scale_121 = torch.conv2d(
+            scale_120,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_120 = l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_122 = torch.nn.functional.silu(scale_121, inplace=True)
+        scale_121 = None
+        scale_123 = torch.conv2d(
+            scale_122,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_122 = l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_124 = torch.sigmoid(scale_123)
+        scale_123 = None
+        input_214 = scale_124 * input_213
+        scale_124 = input_213 = None
+        input_215 = torch.conv2d(
+            input_214,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_214 = l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_216 = torch.nn.functional.batch_norm(
+            input_215,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_215 = l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_20 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_20 = None
+        input_216 += result_19
+        result_20 = input_216
+        input_216 = result_19 = None
+        input_217 = torch.conv2d(
+            result_20,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_218 = torch.nn.functional.batch_norm(
+            input_217,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_217 = l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_219 = torch.nn.functional.silu(input_218, inplace=True)
+        input_218 = None
+        input_220 = torch.conv2d(
+            input_219,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_219 = l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_221 = torch.nn.functional.batch_norm(
+            input_220,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_220 = l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_222 = torch.nn.functional.silu(input_221, inplace=True)
+        input_221 = None
+        scale_125 = torch.nn.functional.adaptive_avg_pool2d(input_222, 1)
+        scale_126 = torch.conv2d(
+            scale_125,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_125 = l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_127 = torch.nn.functional.silu(scale_126, inplace=True)
+        scale_126 = None
+        scale_128 = torch.conv2d(
+            scale_127,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_127 = l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_129 = torch.sigmoid(scale_128)
+        scale_128 = None
+        input_223 = scale_129 * input_222
+        scale_129 = input_222 = None
+        input_224 = torch.conv2d(
+            input_223,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_223 = l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_225 = torch.nn.functional.batch_norm(
+            input_224,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_224 = l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_21 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_21 = None
+        input_225 += result_20
+        result_21 = input_225
+        input_225 = result_20 = None
+        input_226 = torch.conv2d(
+            result_21,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_227 = torch.nn.functional.batch_norm(
+            input_226,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_226 = l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_228 = torch.nn.functional.silu(input_227, inplace=True)
+        input_227 = None
+        input_229 = torch.conv2d(
+            input_228,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_228 = l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_230 = torch.nn.functional.batch_norm(
+            input_229,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_229 = l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_231 = torch.nn.functional.silu(input_230, inplace=True)
+        input_230 = None
+        scale_130 = torch.nn.functional.adaptive_avg_pool2d(input_231, 1)
+        scale_131 = torch.conv2d(
+            scale_130,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_130 = l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_132 = torch.nn.functional.silu(scale_131, inplace=True)
+        scale_131 = None
+        scale_133 = torch.conv2d(
+            scale_132,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_132 = l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_134 = torch.sigmoid(scale_133)
+        scale_133 = None
+        input_232 = scale_134 * input_231
+        scale_134 = input_231 = None
+        input_233 = torch.conv2d(
+            input_232,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_232 = l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_234 = torch.nn.functional.batch_norm(
+            input_233,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_233 = l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_22 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_22 = None
+        input_234 += result_21
+        result_22 = input_234
+        input_234 = result_21 = None
+        input_235 = torch.conv2d(
+            result_22,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_236 = torch.nn.functional.batch_norm(
+            input_235,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_235 = l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_237 = torch.nn.functional.silu(input_236, inplace=True)
+        input_236 = None
+        input_238 = torch.conv2d(
+            input_237,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            960,
+        )
+        input_237 = l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_239 = torch.nn.functional.batch_norm(
+            input_238,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_238 = l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_240 = torch.nn.functional.silu(input_239, inplace=True)
+        input_239 = None
+        scale_135 = torch.nn.functional.adaptive_avg_pool2d(input_240, 1)
+        scale_136 = torch.conv2d(
+            scale_135,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_135 = l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_137 = torch.nn.functional.silu(scale_136, inplace=True)
+        scale_136 = None
+        scale_138 = torch.conv2d(
+            scale_137,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_137 = l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_139 = torch.sigmoid(scale_138)
+        scale_138 = None
+        input_241 = scale_139 * input_240
+        scale_139 = input_240 = None
+        input_242 = torch.conv2d(
+            input_241,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_241 = l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_243 = torch.nn.functional.batch_norm(
+            input_242,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_242 = l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_23 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_23 = None
+        input_243 += result_22
+        result_23 = input_243
+        input_243 = result_22 = None
+        input_244 = torch.conv2d(
+            result_23,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_23 = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_245 = torch.nn.functional.batch_norm(
+            input_244,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_244 = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_246 = torch.nn.functional.silu(input_245, inplace=True)
+        input_245 = None
+        input_247 = torch.conv2d(
+            input_246,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            960,
+        )
+        input_246 = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_248 = torch.nn.functional.batch_norm(
+            input_247,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_247 = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_249 = torch.nn.functional.silu(input_248, inplace=True)
+        input_248 = None
+        scale_140 = torch.nn.functional.adaptive_avg_pool2d(input_249, 1)
+        scale_141 = torch.conv2d(
+            scale_140,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_140 = l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_142 = torch.nn.functional.silu(scale_141, inplace=True)
+        scale_141 = None
+        scale_143 = torch.conv2d(
+            scale_142,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_142 = l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_144 = torch.sigmoid(scale_143)
+        scale_143 = None
+        input_250 = scale_144 * input_249
+        scale_144 = input_249 = None
+        input_251 = torch.conv2d(
+            input_250,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_250 = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_252 = torch.nn.functional.batch_norm(
+            input_251,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_251 = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_253 = torch.conv2d(
+            input_252,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_254 = torch.nn.functional.batch_norm(
+            input_253,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_253 = l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_255 = torch.nn.functional.silu(input_254, inplace=True)
+        input_254 = None
+        input_256 = torch.conv2d(
+            input_255,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_255 = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_257 = torch.nn.functional.batch_norm(
+            input_256,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_256 = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_258 = torch.nn.functional.silu(input_257, inplace=True)
+        input_257 = None
+        scale_145 = torch.nn.functional.adaptive_avg_pool2d(input_258, 1)
+        scale_146 = torch.conv2d(
+            scale_145,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_145 = l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_147 = torch.nn.functional.silu(scale_146, inplace=True)
+        scale_146 = None
+        scale_148 = torch.conv2d(
+            scale_147,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_147 = l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_149 = torch.sigmoid(scale_148)
+        scale_148 = None
+        input_259 = scale_149 * input_258
+        scale_149 = input_258 = None
+        input_260 = torch.conv2d(
+            input_259,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_259 = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_261 = torch.nn.functional.batch_norm(
+            input_260,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_260 = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_24 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_24 = None
+        input_261 += input_252
+        result_24 = input_261
+        input_261 = input_252 = None
+        input_262 = torch.conv2d(
+            result_24,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_263 = torch.nn.functional.batch_norm(
+            input_262,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_262 = l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_264 = torch.nn.functional.silu(input_263, inplace=True)
+        input_263 = None
+        input_265 = torch.conv2d(
+            input_264,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_264 = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_266 = torch.nn.functional.batch_norm(
+            input_265,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_265 = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_267 = torch.nn.functional.silu(input_266, inplace=True)
+        input_266 = None
+        scale_150 = torch.nn.functional.adaptive_avg_pool2d(input_267, 1)
+        scale_151 = torch.conv2d(
+            scale_150,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_150 = l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_152 = torch.nn.functional.silu(scale_151, inplace=True)
+        scale_151 = None
+        scale_153 = torch.conv2d(
+            scale_152,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_152 = l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_154 = torch.sigmoid(scale_153)
+        scale_153 = None
+        input_268 = scale_154 * input_267
+        scale_154 = input_267 = None
+        input_269 = torch.conv2d(
+            input_268,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_268 = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_270 = torch.nn.functional.batch_norm(
+            input_269,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_269 = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_25 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_25 = None
+        input_270 += result_24
+        result_25 = input_270
+        input_270 = result_24 = None
+        input_271 = torch.conv2d(
+            result_25,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_272 = torch.nn.functional.batch_norm(
+            input_271,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_271 = l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_273 = torch.nn.functional.silu(input_272, inplace=True)
+        input_272 = None
+        input_274 = torch.conv2d(
+            input_273,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_273 = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_275 = torch.nn.functional.batch_norm(
+            input_274,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_274 = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_276 = torch.nn.functional.silu(input_275, inplace=True)
+        input_275 = None
+        scale_155 = torch.nn.functional.adaptive_avg_pool2d(input_276, 1)
+        scale_156 = torch.conv2d(
+            scale_155,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_155 = l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_157 = torch.nn.functional.silu(scale_156, inplace=True)
+        scale_156 = None
+        scale_158 = torch.conv2d(
+            scale_157,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_157 = l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_159 = torch.sigmoid(scale_158)
+        scale_158 = None
+        input_277 = scale_159 * input_276
+        scale_159 = input_276 = None
+        input_278 = torch.conv2d(
+            input_277,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_277 = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_279 = torch.nn.functional.batch_norm(
+            input_278,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_278 = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_26 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_26 = None
+        input_279 += result_25
+        result_26 = input_279
+        input_279 = result_25 = None
+        input_280 = torch.conv2d(
+            result_26,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_281 = torch.nn.functional.batch_norm(
+            input_280,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_280 = l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_282 = torch.nn.functional.silu(input_281, inplace=True)
+        input_281 = None
+        input_283 = torch.conv2d(
+            input_282,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_282 = l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_284 = torch.nn.functional.batch_norm(
+            input_283,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_283 = l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_285 = torch.nn.functional.silu(input_284, inplace=True)
+        input_284 = None
+        scale_160 = torch.nn.functional.adaptive_avg_pool2d(input_285, 1)
+        scale_161 = torch.conv2d(
+            scale_160,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_160 = l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_162 = torch.nn.functional.silu(scale_161, inplace=True)
+        scale_161 = None
+        scale_163 = torch.conv2d(
+            scale_162,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_162 = l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_164 = torch.sigmoid(scale_163)
+        scale_163 = None
+        input_286 = scale_164 * input_285
+        scale_164 = input_285 = None
+        input_287 = torch.conv2d(
+            input_286,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_286 = l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_288 = torch.nn.functional.batch_norm(
+            input_287,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_287 = l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_27 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_27 = None
+        input_288 += result_26
+        result_27 = input_288
+        input_288 = result_26 = None
+        input_289 = torch.conv2d(
+            result_27,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_290 = torch.nn.functional.batch_norm(
+            input_289,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_289 = l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_291 = torch.nn.functional.silu(input_290, inplace=True)
+        input_290 = None
+        input_292 = torch.conv2d(
+            input_291,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_291 = l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_293 = torch.nn.functional.batch_norm(
+            input_292,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_292 = l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_294 = torch.nn.functional.silu(input_293, inplace=True)
+        input_293 = None
+        scale_165 = torch.nn.functional.adaptive_avg_pool2d(input_294, 1)
+        scale_166 = torch.conv2d(
+            scale_165,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_165 = l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_167 = torch.nn.functional.silu(scale_166, inplace=True)
+        scale_166 = None
+        scale_168 = torch.conv2d(
+            scale_167,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_167 = l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_169 = torch.sigmoid(scale_168)
+        scale_168 = None
+        input_295 = scale_169 * input_294
+        scale_169 = input_294 = None
+        input_296 = torch.conv2d(
+            input_295,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_295 = l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_297 = torch.nn.functional.batch_norm(
+            input_296,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_296 = l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_28 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_28 = None
+        input_297 += result_27
+        result_28 = input_297
+        input_297 = result_27 = None
+        input_298 = torch.conv2d(
+            result_28,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_299 = torch.nn.functional.batch_norm(
+            input_298,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_298 = l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_300 = torch.nn.functional.silu(input_299, inplace=True)
+        input_299 = None
+        input_301 = torch.conv2d(
+            input_300,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_300 = l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_302 = torch.nn.functional.batch_norm(
+            input_301,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_301 = l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_303 = torch.nn.functional.silu(input_302, inplace=True)
+        input_302 = None
+        scale_170 = torch.nn.functional.adaptive_avg_pool2d(input_303, 1)
+        scale_171 = torch.conv2d(
+            scale_170,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_170 = l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_172 = torch.nn.functional.silu(scale_171, inplace=True)
+        scale_171 = None
+        scale_173 = torch.conv2d(
+            scale_172,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_172 = l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_174 = torch.sigmoid(scale_173)
+        scale_173 = None
+        input_304 = scale_174 * input_303
+        scale_174 = input_303 = None
+        input_305 = torch.conv2d(
+            input_304,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_304 = l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_306 = torch.nn.functional.batch_norm(
+            input_305,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_305 = l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_29 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_29 = None
+        input_306 += result_28
+        result_29 = input_306
+        input_306 = result_28 = None
+        input_307 = torch.conv2d(
+            result_29,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_308 = torch.nn.functional.batch_norm(
+            input_307,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_307 = l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_309 = torch.nn.functional.silu(input_308, inplace=True)
+        input_308 = None
+        input_310 = torch.conv2d(
+            input_309,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_309 = l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_311 = torch.nn.functional.batch_norm(
+            input_310,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_310 = l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_312 = torch.nn.functional.silu(input_311, inplace=True)
+        input_311 = None
+        scale_175 = torch.nn.functional.adaptive_avg_pool2d(input_312, 1)
+        scale_176 = torch.conv2d(
+            scale_175,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_175 = l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_177 = torch.nn.functional.silu(scale_176, inplace=True)
+        scale_176 = None
+        scale_178 = torch.conv2d(
+            scale_177,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_177 = l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_179 = torch.sigmoid(scale_178)
+        scale_178 = None
+        input_313 = scale_179 * input_312
+        scale_179 = input_312 = None
+        input_314 = torch.conv2d(
+            input_313,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_313 = l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_315 = torch.nn.functional.batch_norm(
+            input_314,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_314 = l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_30 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_30 = None
+        input_315 += result_29
+        result_30 = input_315
+        input_315 = result_29 = None
+        input_316 = torch.conv2d(
+            result_30,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_317 = torch.nn.functional.batch_norm(
+            input_316,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_316 = l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_318 = torch.nn.functional.silu(input_317, inplace=True)
+        input_317 = None
+        input_319 = torch.conv2d(
+            input_318,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_318 = l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_320 = torch.nn.functional.batch_norm(
+            input_319,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_319 = l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_321 = torch.nn.functional.silu(input_320, inplace=True)
+        input_320 = None
+        scale_180 = torch.nn.functional.adaptive_avg_pool2d(input_321, 1)
+        scale_181 = torch.conv2d(
+            scale_180,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_180 = l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_182 = torch.nn.functional.silu(scale_181, inplace=True)
+        scale_181 = None
+        scale_183 = torch.conv2d(
+            scale_182,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_182 = l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_184 = torch.sigmoid(scale_183)
+        scale_183 = None
+        input_322 = scale_184 * input_321
+        scale_184 = input_321 = None
+        input_323 = torch.conv2d(
+            input_322,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_322 = l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_324 = torch.nn.functional.batch_norm(
+            input_323,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_323 = l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_31 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_31 = None
+        input_324 += result_30
+        result_31 = input_324
+        input_324 = result_30 = None
+        input_325 = torch.conv2d(
+            result_31,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_326 = torch.nn.functional.batch_norm(
+            input_325,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_325 = l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_327 = torch.nn.functional.silu(input_326, inplace=True)
+        input_326 = None
+        input_328 = torch.conv2d(
+            input_327,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_327 = l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_329 = torch.nn.functional.batch_norm(
+            input_328,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_328 = l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_330 = torch.nn.functional.silu(input_329, inplace=True)
+        input_329 = None
+        scale_185 = torch.nn.functional.adaptive_avg_pool2d(input_330, 1)
+        scale_186 = torch.conv2d(
+            scale_185,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_185 = l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_187 = torch.nn.functional.silu(scale_186, inplace=True)
+        scale_186 = None
+        scale_188 = torch.conv2d(
+            scale_187,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_187 = l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_189 = torch.sigmoid(scale_188)
+        scale_188 = None
+        input_331 = scale_189 * input_330
+        scale_189 = input_330 = None
+        input_332 = torch.conv2d(
+            input_331,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_331 = l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_333 = torch.nn.functional.batch_norm(
+            input_332,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_332 = l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_32 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_32 = None
+        input_333 += result_31
+        result_32 = input_333
+        input_333 = result_31 = None
+        input_334 = torch.conv2d(
+            result_32,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_32 = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_335 = torch.nn.functional.batch_norm(
+            input_334,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_334 = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_336 = torch.nn.functional.silu(input_335, inplace=True)
+        input_335 = None
+        input_337 = torch.conv2d(
+            input_336,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            1344,
+        )
+        input_336 = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_338 = torch.nn.functional.batch_norm(
+            input_337,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_337 = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_339 = torch.nn.functional.silu(input_338, inplace=True)
+        input_338 = None
+        scale_190 = torch.nn.functional.adaptive_avg_pool2d(input_339, 1)
+        scale_191 = torch.conv2d(
+            scale_190,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_190 = l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_192 = torch.nn.functional.silu(scale_191, inplace=True)
+        scale_191 = None
+        scale_193 = torch.conv2d(
+            scale_192,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_192 = l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_194 = torch.sigmoid(scale_193)
+        scale_193 = None
+        input_340 = scale_194 * input_339
+        scale_194 = input_339 = None
+        input_341 = torch.conv2d(
+            input_340,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_340 = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_342 = torch.nn.functional.batch_norm(
+            input_341,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_341 = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_343 = torch.conv2d(
+            input_342,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_344 = torch.nn.functional.batch_norm(
+            input_343,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_343 = l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_345 = torch.nn.functional.silu(input_344, inplace=True)
+        input_344 = None
+        input_346 = torch.conv2d(
+            input_345,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_345 = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_347 = torch.nn.functional.batch_norm(
+            input_346,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_346 = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_348 = torch.nn.functional.silu(input_347, inplace=True)
+        input_347 = None
+        scale_195 = torch.nn.functional.adaptive_avg_pool2d(input_348, 1)
+        scale_196 = torch.conv2d(
+            scale_195,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_195 = l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_197 = torch.nn.functional.silu(scale_196, inplace=True)
+        scale_196 = None
+        scale_198 = torch.conv2d(
+            scale_197,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_197 = l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_199 = torch.sigmoid(scale_198)
+        scale_198 = None
+        input_349 = scale_199 * input_348
+        scale_199 = input_348 = None
+        input_350 = torch.conv2d(
+            input_349,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_349 = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_351 = torch.nn.functional.batch_norm(
+            input_350,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_350 = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_33 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_33 = None
+        input_351 += input_342
+        result_33 = input_351
+        input_351 = input_342 = None
+        input_352 = torch.conv2d(
+            result_33,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_353 = torch.nn.functional.batch_norm(
+            input_352,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_352 = l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_354 = torch.nn.functional.silu(input_353, inplace=True)
+        input_353 = None
+        input_355 = torch.conv2d(
+            input_354,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_354 = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_356 = torch.nn.functional.batch_norm(
+            input_355,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_355 = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_357 = torch.nn.functional.silu(input_356, inplace=True)
+        input_356 = None
+        scale_200 = torch.nn.functional.adaptive_avg_pool2d(input_357, 1)
+        scale_201 = torch.conv2d(
+            scale_200,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_200 = l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_202 = torch.nn.functional.silu(scale_201, inplace=True)
+        scale_201 = None
+        scale_203 = torch.conv2d(
+            scale_202,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_202 = l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_204 = torch.sigmoid(scale_203)
+        scale_203 = None
+        input_358 = scale_204 * input_357
+        scale_204 = input_357 = None
+        input_359 = torch.conv2d(
+            input_358,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_358 = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_360 = torch.nn.functional.batch_norm(
+            input_359,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_359 = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_34 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_34 = None
+        input_360 += result_33
+        result_34 = input_360
+        input_360 = result_33 = None
+        input_361 = torch.conv2d(
+            result_34,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_362 = torch.nn.functional.batch_norm(
+            input_361,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_361 = l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_363 = torch.nn.functional.silu(input_362, inplace=True)
+        input_362 = None
+        input_364 = torch.conv2d(
+            input_363,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_363 = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_365 = torch.nn.functional.batch_norm(
+            input_364,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_364 = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_366 = torch.nn.functional.silu(input_365, inplace=True)
+        input_365 = None
+        scale_205 = torch.nn.functional.adaptive_avg_pool2d(input_366, 1)
+        scale_206 = torch.conv2d(
+            scale_205,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_205 = l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_207 = torch.nn.functional.silu(scale_206, inplace=True)
+        scale_206 = None
+        scale_208 = torch.conv2d(
+            scale_207,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_207 = l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_209 = torch.sigmoid(scale_208)
+        scale_208 = None
+        input_367 = scale_209 * input_366
+        scale_209 = input_366 = None
+        input_368 = torch.conv2d(
+            input_367,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_367 = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_369 = torch.nn.functional.batch_norm(
+            input_368,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_368 = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_35 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_35 = None
+        input_369 += result_34
+        result_35 = input_369
+        input_369 = result_34 = None
+        input_370 = torch.conv2d(
+            result_35,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_371 = torch.nn.functional.batch_norm(
+            input_370,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_370 = l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_372 = torch.nn.functional.silu(input_371, inplace=True)
+        input_371 = None
+        input_373 = torch.conv2d(
+            input_372,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_372 = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_374 = torch.nn.functional.batch_norm(
+            input_373,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_373 = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_375 = torch.nn.functional.silu(input_374, inplace=True)
+        input_374 = None
+        scale_210 = torch.nn.functional.adaptive_avg_pool2d(input_375, 1)
+        scale_211 = torch.conv2d(
+            scale_210,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_210 = l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_212 = torch.nn.functional.silu(scale_211, inplace=True)
+        scale_211 = None
+        scale_213 = torch.conv2d(
+            scale_212,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_212 = l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_214 = torch.sigmoid(scale_213)
+        scale_213 = None
+        input_376 = scale_214 * input_375
+        scale_214 = input_375 = None
+        input_377 = torch.conv2d(
+            input_376,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_376 = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_378 = torch.nn.functional.batch_norm(
+            input_377,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_377 = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_36 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_36 = None
+        input_378 += result_35
+        result_36 = input_378
+        input_378 = result_35 = None
+        input_379 = torch.conv2d(
+            result_36,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_380 = torch.nn.functional.batch_norm(
+            input_379,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_379 = l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_381 = torch.nn.functional.silu(input_380, inplace=True)
+        input_380 = None
+        input_382 = torch.conv2d(
+            input_381,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_381 = l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_383 = torch.nn.functional.batch_norm(
+            input_382,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_382 = l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_384 = torch.nn.functional.silu(input_383, inplace=True)
+        input_383 = None
+        scale_215 = torch.nn.functional.adaptive_avg_pool2d(input_384, 1)
+        scale_216 = torch.conv2d(
+            scale_215,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_215 = l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_217 = torch.nn.functional.silu(scale_216, inplace=True)
+        scale_216 = None
+        scale_218 = torch.conv2d(
+            scale_217,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_217 = l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_219 = torch.sigmoid(scale_218)
+        scale_218 = None
+        input_385 = scale_219 * input_384
+        scale_219 = input_384 = None
+        input_386 = torch.conv2d(
+            input_385,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_385 = l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_387 = torch.nn.functional.batch_norm(
+            input_386,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_386 = l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_37 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_37 = None
+        input_387 += result_36
+        result_37 = input_387
+        input_387 = result_36 = None
+        input_388 = torch.conv2d(
+            result_37,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_389 = torch.nn.functional.batch_norm(
+            input_388,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_388 = l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_390 = torch.nn.functional.silu(input_389, inplace=True)
+        input_389 = None
+        input_391 = torch.conv2d(
+            input_390,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_390 = l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_392 = torch.nn.functional.batch_norm(
+            input_391,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_391 = l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_393 = torch.nn.functional.silu(input_392, inplace=True)
+        input_392 = None
+        scale_220 = torch.nn.functional.adaptive_avg_pool2d(input_393, 1)
+        scale_221 = torch.conv2d(
+            scale_220,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_220 = l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_222 = torch.nn.functional.silu(scale_221, inplace=True)
+        scale_221 = None
+        scale_223 = torch.conv2d(
+            scale_222,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_222 = l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_224 = torch.sigmoid(scale_223)
+        scale_223 = None
+        input_394 = scale_224 * input_393
+        scale_224 = input_393 = None
+        input_395 = torch.conv2d(
+            input_394,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_394 = l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_396 = torch.nn.functional.batch_norm(
+            input_395,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_395 = l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_38 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_38 = None
+        input_396 += result_37
+        result_38 = input_396
+        input_396 = result_37 = None
+        input_397 = torch.conv2d(
+            result_38,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_398 = torch.nn.functional.batch_norm(
+            input_397,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_397 = l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_399 = torch.nn.functional.silu(input_398, inplace=True)
+        input_398 = None
+        input_400 = torch.conv2d(
+            input_399,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_399 = l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_401 = torch.nn.functional.batch_norm(
+            input_400,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_400 = l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_402 = torch.nn.functional.silu(input_401, inplace=True)
+        input_401 = None
+        scale_225 = torch.nn.functional.adaptive_avg_pool2d(input_402, 1)
+        scale_226 = torch.conv2d(
+            scale_225,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_225 = l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_227 = torch.nn.functional.silu(scale_226, inplace=True)
+        scale_226 = None
+        scale_228 = torch.conv2d(
+            scale_227,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_227 = l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_229 = torch.sigmoid(scale_228)
+        scale_228 = None
+        input_403 = scale_229 * input_402
+        scale_229 = input_402 = None
+        input_404 = torch.conv2d(
+            input_403,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_403 = l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_405 = torch.nn.functional.batch_norm(
+            input_404,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_404 = l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_39 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_39 = None
+        input_405 += result_38
+        result_39 = input_405
+        input_405 = result_38 = None
+        input_406 = torch.conv2d(
+            result_39,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_407 = torch.nn.functional.batch_norm(
+            input_406,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_406 = l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_408 = torch.nn.functional.silu(input_407, inplace=True)
+        input_407 = None
+        input_409 = torch.conv2d(
+            input_408,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_408 = l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_410 = torch.nn.functional.batch_norm(
+            input_409,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_409 = l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_411 = torch.nn.functional.silu(input_410, inplace=True)
+        input_410 = None
+        scale_230 = torch.nn.functional.adaptive_avg_pool2d(input_411, 1)
+        scale_231 = torch.conv2d(
+            scale_230,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_230 = l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_232 = torch.nn.functional.silu(scale_231, inplace=True)
+        scale_231 = None
+        scale_233 = torch.conv2d(
+            scale_232,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_232 = l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_234 = torch.sigmoid(scale_233)
+        scale_233 = None
+        input_412 = scale_234 * input_411
+        scale_234 = input_411 = None
+        input_413 = torch.conv2d(
+            input_412,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_412 = l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_414 = torch.nn.functional.batch_norm(
+            input_413,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_413 = l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_40 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_40 = None
+        input_414 += result_39
+        result_40 = input_414
+        input_414 = result_39 = None
+        input_415 = torch.conv2d(
+            result_40,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_416 = torch.nn.functional.batch_norm(
+            input_415,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_415 = l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_417 = torch.nn.functional.silu(input_416, inplace=True)
+        input_416 = None
+        input_418 = torch.conv2d(
+            input_417,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_417 = l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_419 = torch.nn.functional.batch_norm(
+            input_418,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_418 = l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_420 = torch.nn.functional.silu(input_419, inplace=True)
+        input_419 = None
+        scale_235 = torch.nn.functional.adaptive_avg_pool2d(input_420, 1)
+        scale_236 = torch.conv2d(
+            scale_235,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_235 = l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_237 = torch.nn.functional.silu(scale_236, inplace=True)
+        scale_236 = None
+        scale_238 = torch.conv2d(
+            scale_237,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_237 = l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_239 = torch.sigmoid(scale_238)
+        scale_238 = None
+        input_421 = scale_239 * input_420
+        scale_239 = input_420 = None
+        input_422 = torch.conv2d(
+            input_421,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_421 = l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_423 = torch.nn.functional.batch_norm(
+            input_422,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_422 = l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_41 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_41 = None
+        input_423 += result_40
+        result_41 = input_423
+        input_423 = result_40 = None
+        input_424 = torch.conv2d(
+            result_41,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_425 = torch.nn.functional.batch_norm(
+            input_424,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_424 = l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_426 = torch.nn.functional.silu(input_425, inplace=True)
+        input_425 = None
+        input_427 = torch.conv2d(
+            input_426,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_426 = l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_428 = torch.nn.functional.batch_norm(
+            input_427,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_427 = l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_429 = torch.nn.functional.silu(input_428, inplace=True)
+        input_428 = None
+        scale_240 = torch.nn.functional.adaptive_avg_pool2d(input_429, 1)
+        scale_241 = torch.conv2d(
+            scale_240,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_240 = l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_242 = torch.nn.functional.silu(scale_241, inplace=True)
+        scale_241 = None
+        scale_243 = torch.conv2d(
+            scale_242,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_242 = l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_244 = torch.sigmoid(scale_243)
+        scale_243 = None
+        input_430 = scale_244 * input_429
+        scale_244 = input_429 = None
+        input_431 = torch.conv2d(
+            input_430,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_430 = l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_432 = torch.nn.functional.batch_norm(
+            input_431,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_431 = l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_42 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_42 = None
+        input_432 += result_41
+        result_42 = input_432
+        input_432 = result_41 = None
+        input_433 = torch.conv2d(
+            result_42,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_434 = torch.nn.functional.batch_norm(
+            input_433,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_433 = l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_435 = torch.nn.functional.silu(input_434, inplace=True)
+        input_434 = None
+        input_436 = torch.conv2d(
+            input_435,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_435 = l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_437 = torch.nn.functional.batch_norm(
+            input_436,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_436 = l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_438 = torch.nn.functional.silu(input_437, inplace=True)
+        input_437 = None
+        scale_245 = torch.nn.functional.adaptive_avg_pool2d(input_438, 1)
+        scale_246 = torch.conv2d(
+            scale_245,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_245 = l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_247 = torch.nn.functional.silu(scale_246, inplace=True)
+        scale_246 = None
+        scale_248 = torch.conv2d(
+            scale_247,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_247 = l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_249 = torch.sigmoid(scale_248)
+        scale_248 = None
+        input_439 = scale_249 * input_438
+        scale_249 = input_438 = None
+        input_440 = torch.conv2d(
+            input_439,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_439 = l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_441 = torch.nn.functional.batch_norm(
+            input_440,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_440 = l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_43 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_43 = None
+        input_441 += result_42
+        result_43 = input_441
+        input_441 = result_42 = None
+        input_442 = torch.conv2d(
+            result_43,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_443 = torch.nn.functional.batch_norm(
+            input_442,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_442 = l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_444 = torch.nn.functional.silu(input_443, inplace=True)
+        input_443 = None
+        input_445 = torch.conv2d(
+            input_444,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            2304,
+        )
+        input_444 = l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_446 = torch.nn.functional.batch_norm(
+            input_445,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_445 = l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_447 = torch.nn.functional.silu(input_446, inplace=True)
+        input_446 = None
+        scale_250 = torch.nn.functional.adaptive_avg_pool2d(input_447, 1)
+        scale_251 = torch.conv2d(
+            scale_250,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_250 = l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_252 = torch.nn.functional.silu(scale_251, inplace=True)
+        scale_251 = None
+        scale_253 = torch.conv2d(
+            scale_252,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_252 = l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_254 = torch.sigmoid(scale_253)
+        scale_253 = None
+        input_448 = scale_254 * input_447
+        scale_254 = input_447 = None
+        input_449 = torch.conv2d(
+            input_448,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_448 = l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_450 = torch.nn.functional.batch_norm(
+            input_449,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_449 = l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_44 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_44 = None
+        input_450 += result_43
+        result_44 = input_450
+        input_450 = result_43 = None
+        input_451 = torch.conv2d(
+            result_44,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_44 = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_452 = torch.nn.functional.batch_norm(
+            input_451,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_451 = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_453 = torch.nn.functional.silu(input_452, inplace=True)
+        input_452 = None
+        input_454 = torch.conv2d(
+            input_453,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2304,
+        )
+        input_453 = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_455 = torch.nn.functional.batch_norm(
+            input_454,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_454 = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_456 = torch.nn.functional.silu(input_455, inplace=True)
+        input_455 = None
+        scale_255 = torch.nn.functional.adaptive_avg_pool2d(input_456, 1)
+        scale_256 = torch.conv2d(
+            scale_255,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_255 = l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_257 = torch.nn.functional.silu(scale_256, inplace=True)
+        scale_256 = None
+        scale_258 = torch.conv2d(
+            scale_257,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_257 = l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_259 = torch.sigmoid(scale_258)
+        scale_258 = None
+        input_457 = scale_259 * input_456
+        scale_259 = input_456 = None
+        input_458 = torch.conv2d(
+            input_457,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_457 = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_459 = torch.nn.functional.batch_norm(
+            input_458,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_458 = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        input_460 = torch.conv2d(
+            input_459,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_461 = torch.nn.functional.batch_norm(
+            input_460,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_460 = l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_462 = torch.nn.functional.silu(input_461, inplace=True)
+        input_461 = None
+        input_463 = torch.conv2d(
+            input_462,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            3840,
+        )
+        input_462 = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_464 = torch.nn.functional.batch_norm(
+            input_463,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_463 = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_465 = torch.nn.functional.silu(input_464, inplace=True)
+        input_464 = None
+        scale_260 = torch.nn.functional.adaptive_avg_pool2d(input_465, 1)
+        scale_261 = torch.conv2d(
+            scale_260,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_260 = l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_262 = torch.nn.functional.silu(scale_261, inplace=True)
+        scale_261 = None
+        scale_263 = torch.conv2d(
+            scale_262,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_262 = l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_264 = torch.sigmoid(scale_263)
+        scale_263 = None
+        input_466 = scale_264 * input_465
+        scale_264 = input_465 = None
+        input_467 = torch.conv2d(
+            input_466,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_466 = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_468 = torch.nn.functional.batch_norm(
+            input_467,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_467 = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_45 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_45 = None
+        input_468 += input_459
+        result_45 = input_468
+        input_468 = input_459 = None
+        input_469 = torch.conv2d(
+            result_45,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_470 = torch.nn.functional.batch_norm(
+            input_469,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_469 = l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_471 = torch.nn.functional.silu(input_470, inplace=True)
+        input_470 = None
+        input_472 = torch.conv2d(
+            input_471,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            3840,
+        )
+        input_471 = l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_473 = torch.nn.functional.batch_norm(
+            input_472,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_472 = l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_474 = torch.nn.functional.silu(input_473, inplace=True)
+        input_473 = None
+        scale_265 = torch.nn.functional.adaptive_avg_pool2d(input_474, 1)
+        scale_266 = torch.conv2d(
+            scale_265,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_265 = l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_267 = torch.nn.functional.silu(scale_266, inplace=True)
+        scale_266 = None
+        scale_268 = torch.conv2d(
+            scale_267,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_267 = l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_269 = torch.sigmoid(scale_268)
+        scale_268 = None
+        input_475 = scale_269 * input_474
+        scale_269 = input_474 = None
+        input_476 = torch.conv2d(
+            input_475,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_475 = l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_477 = torch.nn.functional.batch_norm(
+            input_476,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_476 = l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_46 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_46 = None
+        input_477 += result_45
+        result_46 = input_477
+        input_477 = result_45 = None
+        input_478 = torch.conv2d(
+            result_46,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_ = (
+            None
+        )
+        input_479 = torch.nn.functional.batch_norm(
+            input_478,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_478 = l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_ = (None)
+        input_480 = torch.nn.functional.silu(input_479, inplace=True)
+        input_479 = None
+        input_481 = torch.conv2d(
+            input_480,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            3840,
+        )
+        input_480 = l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_482 = torch.nn.functional.batch_norm(
+            input_481,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_481 = l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_ = (None)
+        input_483 = torch.nn.functional.silu(input_482, inplace=True)
+        input_482 = None
+        scale_270 = torch.nn.functional.adaptive_avg_pool2d(input_483, 1)
+        scale_271 = torch.conv2d(
+            scale_270,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_270 = l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_ = (None)
+        scale_272 = torch.nn.functional.silu(scale_271, inplace=True)
+        scale_271 = None
+        scale_273 = torch.conv2d(
+            scale_272,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        scale_272 = l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_ = (None)
+        scale_274 = torch.sigmoid(scale_273)
+        scale_273 = None
+        input_484 = scale_274 * input_483
+        scale_274 = input_483 = None
+        input_485 = torch.conv2d(
+            input_484,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        input_484 = l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_486 = torch.nn.functional.batch_norm(
+            input_485,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_,
+            l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_485 = l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_ = l_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_ = (None)
+        _log_api_usage_once_47 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_47 = None
+        input_486 += result_46
+        result_47 = input_486
+        input_486 = result_46 = None
+        input_487 = torch.conv2d(
+            result_47,
+            l_self_modules_features_modules_8_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_47 = (
+            l_self_modules_features_modules_8_modules_0_parameters_weight_
+        ) = None
+        input_488 = torch.nn.functional.batch_norm(
+            input_487,
+            l_self_modules_features_modules_8_modules_1_buffers_running_mean_,
+            l_self_modules_features_modules_8_modules_1_buffers_running_var_,
+            l_self_modules_features_modules_8_modules_1_parameters_weight_,
+            l_self_modules_features_modules_8_modules_1_parameters_bias_,
+            False,
+            0.01,
+            0.001,
+        )
+        input_487 = (
+            l_self_modules_features_modules_8_modules_1_buffers_running_mean_
+        ) = (
+            l_self_modules_features_modules_8_modules_1_buffers_running_var_
+        ) = (
+            l_self_modules_features_modules_8_modules_1_parameters_weight_
+        ) = l_self_modules_features_modules_8_modules_1_parameters_bias_ = None
+        input_489 = torch.nn.functional.silu(input_488, inplace=True)
+        input_488 = None
+        x = torch.nn.functional.adaptive_avg_pool2d(input_489, 1)
+        input_489 = None
+        x_1 = torch.flatten(x, 1)
+        x = None
+        input_490 = torch.nn.functional.dropout(x_1, 0.5, False, True)
+        x_1 = None
+        input_491 = torch._C._nn.linear(
+            input_490,
+            l_self_modules_classifier_modules_1_parameters_weight_,
+            l_self_modules_classifier_modules_1_parameters_bias_,
+        )
+        input_490 = (
+            l_self_modules_classifier_modules_1_parameters_weight_
+        ) = l_self_modules_classifier_modules_1_parameters_bias_ = None
+        return (input_491,)
diff --git a/samples/torchvision/efficientnet_b7/weight_meta.py b/samples/torchvision/efficientnet_b7/weight_meta.py
new file mode 100644
index 0000000000..622cadca50
--- /dev/null
+++ b/samples/torchvision/efficientnet_b7/weight_meta.py
@@ -0,0 +1,10388 @@
+class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_0_modules_0_parameters_weight_"
+    shape = [64, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.330
+    data = None
+
+
+class Program_weight_tensor_meta_s1:
+    name = "s1"
+    shape = []
+    dtype = "torch.int64"
+    device = "cpu"
+    mean = None
+    std = None
+    data = [4]
+
+
+class Program_weight_tensor_meta_L_x_:
+    name = "L_x_"
+    shape = [1, 3, 224, 224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.232
+    std = 1.284
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_0_modules_1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_0_modules_1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.544
+    std = 7.836
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_0_modules_1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.022
+    std = 1.737
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_0_modules_1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.070
+    std = 3.813
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [64, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.430
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.027
+    std = 1.537
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 3.796
+    std = 9.731
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.314
+    std = 1.545
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.862
+    std = 2.608
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_weight_"
+    shape = [16, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc1_parameters_bias_"
+    shape = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_weight_"
+    shape = [64, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.023
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_1_modules_fc2_parameters_bias_"
+    shape = [64]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.064
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_0_parameters_weight_"
+    shape = [32, 64, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.257
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.384
+    std = 7.716
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 43.703
+    std = 40.752
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.450
+    std = 2.991
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_0_modules_block_modules_2_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.186
+    std = 1.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.331
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.237
+    std = 0.998
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 18.471
+    std = 32.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.247
+    std = 1.256
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.034
+    std = 2.434
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.032
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_1_modules_fc2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.032
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_0_parameters_weight_"
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.215
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.305
+    std = 4.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 27.951
+    std = 26.569
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 3.688
+    std = 2.690
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_1_modules_block_modules_2_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.159
+    std = 1.270
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.021
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.689
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.157
+    std = 8.127
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.475
+    std = 1.383
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.587
+    std = 1.748
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.149
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.040
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.023
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_1_modules_fc2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.024
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_0_parameters_weight_"
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.162
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.055
+    std = 1.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.526
+    std = 1.323
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.361
+    std = 1.373
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_2_modules_block_modules_2_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.100
+    std = 1.301
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.323
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.172
+    std = 1.857
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 13.748
+    std = 14.801
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.383
+    std = 1.525
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.684
+    std = 2.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_weight_"
+    shape = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.045
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_weight_"
+    shape = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.051
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_1_modules_fc2_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.045
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_0_parameters_weight_"
+    shape = [32, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.158
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_mean_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.134
+    std = 1.132
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_buffers_running_var_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.914
+    std = 0.826
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_weight_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.510
+    std = 1.489
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_1_modules_3_modules_block_modules_2_modules_1_parameters_bias_"
+    shape = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.245
+    std = 0.987
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [192, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.778
+    std = 2.363
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 53.564
+    std = 46.929
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.547
+    std = 1.154
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.664
+    std = 1.562
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [192, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.232
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.272
+    std = 1.128
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.557
+    std = 2.637
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 3.008
+    std = 1.535
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.721
+    std = 1.541
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [8, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.075
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [8]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.013
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [192, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.060
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [192]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 192, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.185
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 6.353
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 62.337
+    std = 59.922
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.122
+    std = 1.376
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 28.837
+    std = 24.809
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.181
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.203
+    std = 1.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.154
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.055
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.082
+    std = 0.136
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.598
+    std = 0.807
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.251
+    std = 0.922
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.100
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.029
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.099
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.086
+    std = 0.534
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.094
+    std = 0.291
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.889
+    std = 0.676
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.148
+    std = 1.332
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.100
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.509
+    std = 0.915
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 21.593
+    std = 9.835
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.128
+    std = 0.428
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.151
+    std = 0.939
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.142
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.044
+    std = 0.207
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.078
+    std = 0.100
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.420
+    std = 0.804
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.417
+    std = 0.943
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.049
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.110
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.094
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.092
+    std = 0.364
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.453
+    std = 0.137
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.627
+    std = 0.428
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.147
+    std = 1.152
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.361
+    std = 1.527
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 24.877
+    std = 13.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.151
+    std = 0.490
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.431
+    std = 1.316
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.134
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.045
+    std = 0.323
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.069
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.510
+    std = 1.220
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.532
+    std = 0.870
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.117
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.092
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.022
+    std = 0.135
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.010
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.093
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.165
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.264
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.706
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.010
+    std = 1.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.971
+    std = 1.962
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 25.432
+    std = 11.953
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.092
+    std = 0.392
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.266
+    std = 1.003
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.030
+    std = 0.249
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.066
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.372
+    std = 0.820
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.475
+    std = 0.976
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.049
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.104
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.337
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.293
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.783
+    std = 0.561
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_4_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.104
+    std = 1.269
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.102
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.596
+    std = 2.732
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 28.353
+    std = 12.326
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.093
+    std = 0.433
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.276
+    std = 1.090
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.036
+    std = 0.192
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.082
+    std = 0.152
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.347
+    std = 0.752
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.716
+    std = 0.908
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.081
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.252
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.202
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.828
+    std = 0.653
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_5_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.104
+    std = 1.310
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -3.790
+    std = 3.879
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 36.383
+    std = 19.586
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.127
+    std = 0.512
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.286
+    std = 1.283
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.016
+    std = 0.137
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 0.209
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.096
+    std = 0.198
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.384
+    std = 1.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.798
+    std = 0.999
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.094
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.116
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.018
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.191
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.987
+    std = 0.601
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_2_modules_6_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.134
+    std = 1.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.165
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -4.060
+    std = 4.957
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 107.963
+    std = 57.790
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.032
+    std = 0.681
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.189
+    std = 1.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.151
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.292
+    std = 1.236
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.806
+    std = 1.405
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.546
+    std = 1.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.619
+    std = 1.599
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.031
+    std = 2.332
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.197
+    std = 5.890
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.339
+    std = 1.217
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.038
+    std = 9.392
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.996
+    std = 0.430
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.132
+    std = 0.794
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.069
+    std = 0.238
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.120
+    std = 0.178
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.476
+    std = 0.719
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.817
+    std = 0.762
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.047
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.067
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.022
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.305
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.540
+    std = 0.752
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.018
+    std = 0.745
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.321
+    std = 0.437
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.080
+    std = 9.506
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.977
+    std = 0.381
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.182
+    std = 0.735
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.069
+    std = 0.194
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.095
+    std = 0.144
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.378
+    std = 0.587
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.885
+    std = 0.766
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.050
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.063
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.021
+    std = 0.130
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.193
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.352
+    std = 0.627
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.033
+    std = 0.760
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.889
+    std = 0.843
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.844
+    std = 10.279
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.023
+    std = 0.368
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.284
+    std = 0.765
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.057
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.088
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.264
+    std = 0.641
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.937
+    std = 0.767
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.062
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.104
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.281
+    std = 0.633
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.065
+    std = 0.723
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.065
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.141
+    std = 1.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 21.073
+    std = 8.976
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.985
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.257
+    std = 0.754
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.037
+    std = 0.149
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.074
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.170
+    std = 0.629
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.914
+    std = 0.768
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.038
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.161
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.081
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.202
+    std = 0.645
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_4_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.061
+    std = 0.647
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.066
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.622
+    std = 1.522
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 23.110
+    std = 9.338
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.001
+    std = 0.379
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.412
+    std = 0.804
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.076
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.039
+    std = 0.165
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.062
+    std = 0.092
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.282
+    std = 0.647
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.920
+    std = 0.753
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.053
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.092
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.170
+    std = 0.618
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_5_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.590
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.981
+    std = 1.984
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 24.995
+    std = 12.268
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.058
+    std = 0.424
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.429
+    std = 0.951
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.053
+    std = 0.210
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.072
+    std = 0.106
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.318
+    std = 0.825
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.886
+    std = 0.788
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.062
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.064
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.073
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [80, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.161
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.113
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.151
+    std = 0.497
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_3_modules_6_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [80]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.574
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [480, 80, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.129
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -3.243
+    std = 2.790
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 90.841
+    std = 41.298
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.033
+    std = 0.616
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.632
+    std = 1.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [480, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.035
+    std = 0.149
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.252
+    std = 0.421
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.229
+    std = 0.485
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.522
+    std = 0.638
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.795
+    std = 1.314
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [20, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [20]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [480, 20, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [480]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 480, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.098
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.071
+    std = 1.890
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.628
+    std = 4.993
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.555
+    std = 1.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 13.252
+    std = 9.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.052
+    std = 0.264
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.082
+    std = 0.614
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.081
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.031
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.336
+    std = 0.631
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.599
+    std = 0.607
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.040
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.022
+    std = 0.106
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.125
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.033
+    std = 0.706
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.026
+    std = 0.550
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.181
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 9.107
+    std = 9.314
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.063
+    std = 0.196
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.161
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.220
+    std = 0.525
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.517
+    std = 0.554
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.031
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.010
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.072
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.743
+    std = 0.564
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.027
+    std = 0.390
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.349
+    std = 0.359
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.196
+    std = 6.881
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.080
+    std = 0.172
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.267
+    std = 0.440
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.179
+    std = 0.484
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.402
+    std = 0.492
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.025
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.078
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.643
+    std = 0.517
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.031
+    std = 0.351
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.528
+    std = 0.503
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.466
+    std = 6.299
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.076
+    std = 0.152
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.319
+    std = 0.418
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.102
+    std = 0.435
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.400
+    std = 0.476
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.028
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.072
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.597
+    std = 0.478
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_4_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.338
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.685
+    std = 0.648
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.974
+    std = 5.439
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.070
+    std = 0.122
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.351
+    std = 0.414
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.071
+    std = 0.274
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.384
+    std = 0.421
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.090
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.072
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.536
+    std = 0.494
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_5_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.289
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.797
+    std = 0.730
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.269
+    std = 6.663
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.067
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.373
+    std = 0.405
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.110
+    std = 0.366
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.328
+    std = 0.420
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.082
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.543
+    std = 0.459
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_6_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.278
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.857
+    std = 0.899
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.001
+    std = 6.363
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.063
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.362
+    std = 0.407
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.087
+    std = 0.325
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.348
+    std = 0.430
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.077
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.524
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_7_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.235
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.942
+    std = 1.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.289
+    std = 8.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.057
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.367
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.114
+    std = 0.545
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.367
+    std = 0.436
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.029
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.087
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.069
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.578
+    std = 0.391
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_8_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.234
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.861
+    std = 1.096
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.653
+    std = 8.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.059
+    std = 0.119
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.353
+    std = 0.445
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.148
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.314
+    std = 0.429
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.027
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [160, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.074
+    std = 0.046
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.476
+    std = 0.349
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_9_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.010
+    std = 0.145
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [960, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.086
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.535
+    std = 1.789
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 57.007
+    std = 24.293
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.136
+    std = 0.626
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.232
+    std = 0.914
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [960, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.122
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.082
+    std = 0.920
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.382
+    std = 0.980
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.235
+    std = 0.554
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.431
+    std = 0.682
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [40, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.060
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [40]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.048
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [960, 40, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [960]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.025
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 960, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.042
+    std = 0.424
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.232
+    std = 1.782
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.185
+    std = 0.833
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 16.948
+    std = 10.685
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.076
+    std = 0.237
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.417
+    std = 0.631
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.038
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.054
+    std = 0.068
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.345
+    std = 0.635
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.838
+    std = 0.597
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.040
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.149
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.135
+    std = 0.066
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.065
+    std = 0.635
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.455
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.334
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 13.695
+    std = 8.616
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.076
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.433
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.031
+    std = 0.082
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.039
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.218
+    std = 0.535
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.735
+    std = 0.565
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.032
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.113
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.892
+    std = 0.650
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.426
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.657
+    std = 0.509
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 11.719
+    std = 7.470
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.085
+    std = 0.171
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.402
+    std = 0.455
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.020
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.032
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.114
+    std = 0.425
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.599
+    std = 0.577
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.021
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.111
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.097
+    std = 0.066
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.809
+    std = 0.647
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.402
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.953
+    std = 0.823
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 10.767
+    std = 8.409
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.075
+    std = 0.147
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.492
+    std = 0.483
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.068
+    std = 0.326
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.497
+    std = 0.546
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.102
+    std = 0.085
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.714
+    std = 0.692
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_4_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.346
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.108
+    std = 1.118
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 11.019
+    std = 9.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.067
+    std = 0.137
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.505
+    std = 0.514
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.021
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.016
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.048
+    std = 0.349
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.447
+    std = 0.507
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.108
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.091
+    std = 0.077
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.682
+    std = 0.677
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_5_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.305
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.315
+    std = 1.276
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 11.681
+    std = 9.544
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.059
+    std = 0.135
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.482
+    std = 0.489
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.016
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.044
+    std = 0.389
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.405
+    std = 0.480
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.101
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.100
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.680
+    std = 0.642
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_6_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.294
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.461
+    std = 1.538
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 11.046
+    std = 9.932
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.052
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.511
+    std = 0.500
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.016
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.997
+    std = 0.220
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.415
+    std = 0.496
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.007
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.002
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.084
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.086
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.640
+    std = 0.615
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_7_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.255
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.671
+    std = 1.745
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 12.284
+    std = 11.981
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.051
+    std = 0.123
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.493
+    std = 0.490
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.020
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.018
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.072
+    std = 0.368
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.415
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.027
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.113
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.111
+    std = 0.088
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.608
+    std = 0.530
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_8_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.228
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.593
+    std = 1.873
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 12.003
+    std = 11.863
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.051
+    std = 0.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.476
+    std = 0.460
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.042
+    std = 0.304
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.394
+    std = 0.471
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [224, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.095
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.096
+    std = 0.069
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.543
+    std = 0.413
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_9_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [224]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.146
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [1344, 224, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.080
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -3.849
+    std = 2.328
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 87.461
+    std = 32.246
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.092
+    std = 0.441
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.250
+    std = 0.958
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [1344, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.025
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.290
+    std = 0.714
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.136
+    std = 0.463
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.039
+    std = 0.381
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.134
+    std = 0.637
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [56, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.053
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [56]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [1344, 56, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [1344]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 1344, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.072
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.361
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.399
+    std = 0.940
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.243
+    std = 0.888
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 21.587
+    std = 9.409
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.977
+    std = 0.231
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.583
+    std = 0.591
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.055
+    std = 0.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.034
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.395
+    std = 0.496
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.908
+    std = 0.545
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.022
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.017
+    std = 0.143
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.226
+    std = 0.064
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.086
+    std = 0.368
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.016
+    std = 0.266
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.276
+    std = 0.189
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.247
+    std = 9.654
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.981
+    std = 0.214
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.568
+    std = 0.545
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.050
+    std = 0.071
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.029
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.291
+    std = 0.512
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.839
+    std = 0.523
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.023
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.036
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.012
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.159
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.994
+    std = 0.354
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.265
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.032
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.646
+    std = 0.425
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 18.737
+    std = 10.107
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.987
+    std = 0.190
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.537
+    std = 0.513
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.041
+    std = 0.059
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.023
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.192
+    std = 0.525
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.732
+    std = 0.523
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.021
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.135
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.920
+    std = 0.392
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.272
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.949
+    std = 0.669
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 17.374
+    std = 10.305
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.006
+    std = 0.187
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.566
+    std = 0.543
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.037
+    std = 0.057
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.020
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.159
+    std = 0.490
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.642
+    std = 0.499
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.125
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.108
+    std = 0.050
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.837
+    std = 0.416
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.251
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.216
+    std = 0.885
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 17.873
+    std = 10.671
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.992
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.525
+    std = 0.533
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.033
+    std = 0.055
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.020
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.125
+    std = 0.504
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.611
+    std = 0.486
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.019
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.126
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.101
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.829
+    std = 0.414
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_5_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.247
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.468
+    std = 1.163
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 17.679
+    std = 12.520
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.000
+    std = 0.167
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.575
+    std = 0.555
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.044
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.032
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.080
+    std = 0.464
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.552
+    std = 0.472
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.122
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.123
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.797
+    std = 0.412
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_6_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.218
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.762
+    std = 1.412
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 19.881
+    std = 13.589
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.996
+    std = 0.165
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.623
+    std = 0.571
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.043
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.036
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.109
+    std = 0.482
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.580
+    std = 0.473
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.014
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.128
+    std = 0.058
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.834
+    std = 0.419
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_7_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.227
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.870
+    std = 1.638
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 19.289
+    std = 14.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.993
+    std = 0.156
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.630
+    std = 0.576
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.042
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.036
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.013
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.069
+    std = 0.462
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.541
+    std = 0.461
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.115
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.122
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.813
+    std = 0.382
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_8_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.222
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.030
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.068
+    std = 1.883
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 19.428
+    std = 14.239
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.996
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.636
+    std = 0.584
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.035
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.077
+    std = 0.446
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.503
+    std = 0.435
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.099
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.124
+    std = 0.054
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.784
+    std = 0.369
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_9_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.191
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.100
+    std = 2.005
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 18.804
+    std = 14.647
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.988
+    std = 0.121
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.620
+    std = 0.580
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.035
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.062
+    std = 0.397
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.491
+    std = 0.437
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.025
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.103
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.124
+    std = 0.047
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.763
+    std = 0.312
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_10_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.181
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.083
+    std = 2.078
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 17.621
+    std = 14.782
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.984
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.581
+    std = 0.588
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.033
+    std = 0.052
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.016
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.034
+    std = 0.314
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.464
+    std = 0.421
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.011
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.015
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.121
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.743
+    std = 0.262
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_11_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.165
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.074
+    std = 2.160
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 17.206
+    std = 14.937
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.986
+    std = 0.091
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.569
+    std = 0.581
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.038
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.032
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.032
+    std = 0.267
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.455
+    std = 0.436
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.009
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.010
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [384, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.010
+    std = 0.109
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.113
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.721
+    std = 0.240
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_6_modules_12_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [384]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.140
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [2304, 384, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.074
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -6.171
+    std = 4.673
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 118.177
+    std = 36.996
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.827
+    std = 0.344
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.084
+    std = 0.886
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [2304, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.056
+    std = 0.083
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.143
+    std = 0.112
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.660
+    std = 0.518
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.190
+    std = 0.753
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [96, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.056
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [2304, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.070
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [2304]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.018
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [640, 2304, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.051
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.241
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.150
+    std = 0.844
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.633
+    std = 0.328
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [3840, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.000
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.714
+    std = 5.203
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.031
+    std = 0.147
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.519
+    std = 0.499
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [3840, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.021
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.037
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.011
+    std = 0.013
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.414
+    std = 0.433
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.566
+    std = 0.367
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [160, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.031
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.026
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [3840, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.040
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [640, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.023
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.066
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.165
+    std = 0.079
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.948
+    std = 0.361
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.015
+    std = 0.232
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [3840, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.026
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.343
+    std = 0.328
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 8.293
+    std = 7.114
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.054
+    std = 0.133
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.539
+    std = 0.528
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [3840, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.048
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.033
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.008
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.354
+    std = 0.516
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.542
+    std = 0.403
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [160, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.029
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.017
+    std = 0.034
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [3840, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.035
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.021
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [640, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.020
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.111
+    std = 0.061
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.882
+    std = 0.288
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_2_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.238
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_0_parameters_weight_"
+    shape = [3840, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.022
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.748
+    std = 0.871
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 10.018
+    std = 11.981
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.038
+    std = 0.124
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_0_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.560
+    std = 0.604
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_0_parameters_weight_"
+    shape = [3840, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.049
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.030
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_buffers_running_var_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.024
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_weight_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.352
+    std = 0.580
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_1_modules_1_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.602
+    std = 0.491
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_"
+    shape = [160, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.028
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [160]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.004
+    std = 0.045
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_"
+    shape = [3840, 160, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.027
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [3840]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.019
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_0_parameters_weight_"
+    shape = [640, 3840, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.017
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.097
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_buffers_running_var_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.088
+    std = 0.089
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_weight_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.884
+    std = 0.318
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_7_modules_3_modules_block_modules_3_modules_1_parameters_bias_"
+    shape = [640]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.205
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_0_parameters_weight_:
+    name = "L_self_modules_features_modules_8_modules_0_parameters_weight_"
+    shape = [2560, 640, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.039
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_1_buffers_running_mean_:
+    name = "L_self_modules_features_modules_8_modules_1_buffers_running_mean_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -2.574
+    std = 0.311
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_8_modules_1_buffers_running_var_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 29.369
+    std = 2.402
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_1_parameters_weight_:
+    name = "L_self_modules_features_modules_8_modules_1_parameters_weight_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.637
+    std = 0.202
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_features_modules_8_modules_1_parameters_bias_:
+    name = "L_self_modules_features_modules_8_modules_1_parameters_bias_"
+    shape = [2560]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.175
+    std = 0.264
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_modules_1_parameters_weight_:
+    name = "L_self_modules_classifier_modules_1_parameters_weight_"
+    shape = [1000, 2560]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.041
+    data = None
+
+
+class Program_weight_tensor_meta_L_self_modules_classifier_modules_1_parameters_bias_:
+    name = "L_self_modules_classifier_modules_1_parameters_bias_"
+    shape = [1000]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.060
+    data = None