From 5f4a4a6fc9d8463118220b2a2415d8ad150b9206 Mon Sep 17 00:00:00 2001
From: Liyulingyue <852433440@qq.com>
Date: Mon, 4 Aug 2025 18:36:40 +0800
Subject: [PATCH] efficientnet_b2

---
 .../efficientnet_b2/graph_hash.txt            |    1 +
 .../efficientnet_b2/graph_net.json            |    5 +
 .../torchvision/efficientnet_b2/input_meta.py |    0
 .../input_tensor_constraints.py               |    0
 samples/torchvision/efficientnet_b2/model.py  | 3247 ++++++++++++
 .../efficientnet_b2/weight_meta.py            | 4408 +++++++++++++++++
 6 files changed, 7661 insertions(+)
 create mode 100644 samples/torchvision/efficientnet_b2/graph_hash.txt
 create mode 100644 samples/torchvision/efficientnet_b2/graph_net.json
 create mode 100644 samples/torchvision/efficientnet_b2/input_meta.py
 create mode 100644 samples/torchvision/efficientnet_b2/input_tensor_constraints.py
 create mode 100644 samples/torchvision/efficientnet_b2/model.py
 create mode 100644 samples/torchvision/efficientnet_b2/weight_meta.py

diff --git a/samples/torchvision/efficientnet_b2/graph_hash.txt b/samples/torchvision/efficientnet_b2/graph_hash.txt
new file mode 100644
index 0000000000..db38e66cbf
--- /dev/null
+++ b/samples/torchvision/efficientnet_b2/graph_hash.txt
@@ -0,0 +1 @@
+2f8c9ee25ca7fab1f419f9683cd6f44d148b5b3d2c95f48cd8d473ece6806acc
\ No newline at end of file
diff --git a/samples/torchvision/efficientnet_b2/graph_net.json b/samples/torchvision/efficientnet_b2/graph_net.json
new file mode 100644
index 0000000000..1373fe3b58
--- /dev/null
+++ b/samples/torchvision/efficientnet_b2/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_b2/input_meta.py b/samples/torchvision/efficientnet_b2/input_meta.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/samples/torchvision/efficientnet_b2/input_tensor_constraints.py b/samples/torchvision/efficientnet_b2/input_tensor_constraints.py
new file mode 100644
index 0000000000..e69de29bb2
diff --git a/samples/torchvision/efficientnet_b2/model.py b/samples/torchvision/efficientnet_b2/model.py
new file mode 100644
index 0000000000..a1aab0860d
--- /dev/null
+++ b/samples/torchvision/efficientnet_b2/model.py
@@ -0,0 +1,3247 @@
+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_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_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
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+        L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_0_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc1_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_2_modules_fc2_parameters_bias_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_mean_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_buffers_running_var_: torch.Tensor,
+        L_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_1_parameters_weight_: torch.nn.parameter.Parameter,
+        L_self_modules_features_modules_6_modules_4_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_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_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_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_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_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_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_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_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,
+            0.1,
+            1e-05,
+        )
+        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),
+            32,
+        )
+        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,
+            0.1,
+            1e-05,
+        )
+        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,
+            0.1,
+            1e-05,
+        )
+        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),
+            16,
+        )
+        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,
+            0.1,
+            1e-05,
+        )
+        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,
+            0.1,
+            1e-05,
+        )
+        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_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result = l_self_modules_features_modules_2_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_17 = torch.nn.functional.batch_norm(
+            input_16,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_16 = 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_18 = torch.nn.functional.silu(input_17, inplace=True)
+        input_17 = None
+        input_19 = torch.conv2d(
+            input_18,
+            l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            96,
+        )
+        input_18 = l_self_modules_features_modules_2_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_20 = torch.nn.functional.batch_norm(
+            input_19,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_19 = 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_21 = torch.nn.functional.silu(input_20, inplace=True)
+        input_20 = None
+        scale_10 = torch.nn.functional.adaptive_avg_pool2d(input_21, 1)
+        scale_11 = torch.conv2d(
+            scale_10,
+            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_10 = 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_12 = torch.nn.functional.silu(scale_11, inplace=True)
+        scale_11 = None
+        scale_13 = torch.conv2d(
+            scale_12,
+            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_12 = 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_14 = torch.sigmoid(scale_13)
+        scale_13 = None
+        input_22 = scale_14 * input_21
+        scale_14 = input_21 = None
+        input_23 = torch.conv2d(
+            input_22,
+            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_22 = l_self_modules_features_modules_2_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_24 = torch.nn.functional.batch_norm(
+            input_23,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_23 = 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_25 = torch.conv2d(
+            input_24,
+            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_26 = torch.nn.functional.batch_norm(
+            input_25,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_25 = 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_27 = torch.nn.functional.silu(input_26, inplace=True)
+        input_26 = None
+        input_28 = torch.conv2d(
+            input_27,
+            l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        input_27 = l_self_modules_features_modules_2_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_29 = torch.nn.functional.batch_norm(
+            input_28,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_28 = 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_30 = torch.nn.functional.silu(input_29, inplace=True)
+        input_29 = None
+        scale_15 = torch.nn.functional.adaptive_avg_pool2d(input_30, 1)
+        scale_16 = torch.conv2d(
+            scale_15,
+            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_15 = 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_17 = torch.nn.functional.silu(scale_16, inplace=True)
+        scale_16 = None
+        scale_18 = torch.conv2d(
+            scale_17,
+            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_17 = 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_19 = torch.sigmoid(scale_18)
+        scale_18 = None
+        input_31 = scale_19 * input_30
+        scale_19 = input_30 = None
+        input_32 = torch.conv2d(
+            input_31,
+            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_31 = l_self_modules_features_modules_2_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_33 = torch.nn.functional.batch_norm(
+            input_32,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_32 = 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_1 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_1 = None
+        input_33 += input_24
+        result_1 = input_33
+        input_33 = input_24 = None
+        input_34 = torch.conv2d(
+            result_1,
+            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_35 = torch.nn.functional.batch_norm(
+            input_34,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_34 = 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_36 = torch.nn.functional.silu(input_35, inplace=True)
+        input_35 = None
+        input_37 = torch.conv2d(
+            input_36,
+            l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            144,
+        )
+        input_36 = l_self_modules_features_modules_2_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_38 = torch.nn.functional.batch_norm(
+            input_37,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_37 = 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_39 = torch.nn.functional.silu(input_38, inplace=True)
+        input_38 = None
+        scale_20 = torch.nn.functional.adaptive_avg_pool2d(input_39, 1)
+        scale_21 = torch.conv2d(
+            scale_20,
+            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_20 = 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_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_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_22 = 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_24 = torch.sigmoid(scale_23)
+        scale_23 = None
+        input_40 = scale_24 * input_39
+        scale_24 = input_39 = None
+        input_41 = torch.conv2d(
+            input_40,
+            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_40 = l_self_modules_features_modules_2_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_42 = torch.nn.functional.batch_norm(
+            input_41,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_41 = 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_2 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_2 = None
+        input_42 += result_1
+        result_2 = input_42
+        input_42 = result_1 = None
+        input_43 = torch.conv2d(
+            result_2,
+            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_2 = l_self_modules_features_modules_3_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_44 = torch.nn.functional.batch_norm(
+            input_43,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_43 = 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_45 = torch.nn.functional.silu(input_44, inplace=True)
+        input_44 = None
+        input_46 = torch.conv2d(
+            input_45,
+            l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            144,
+        )
+        input_45 = l_self_modules_features_modules_3_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_47 = torch.nn.functional.batch_norm(
+            input_46,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_46 = 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_48 = torch.nn.functional.silu(input_47, inplace=True)
+        input_47 = None
+        scale_25 = torch.nn.functional.adaptive_avg_pool2d(input_48, 1)
+        scale_26 = torch.conv2d(
+            scale_25,
+            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_25 = 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_27 = torch.nn.functional.silu(scale_26, inplace=True)
+        scale_26 = None
+        scale_28 = torch.conv2d(
+            scale_27,
+            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_27 = 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_29 = torch.sigmoid(scale_28)
+        scale_28 = None
+        input_49 = scale_29 * input_48
+        scale_29 = input_48 = None
+        input_50 = torch.conv2d(
+            input_49,
+            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_49 = l_self_modules_features_modules_3_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_51 = torch.nn.functional.batch_norm(
+            input_50,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_50 = 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_52 = torch.conv2d(
+            input_51,
+            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_53 = torch.nn.functional.batch_norm(
+            input_52,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_52 = 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_54 = torch.nn.functional.silu(input_53, inplace=True)
+        input_53 = None
+        input_55 = torch.conv2d(
+            input_54,
+            l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        input_54 = l_self_modules_features_modules_3_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_56 = torch.nn.functional.batch_norm(
+            input_55,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_55 = 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_57 = torch.nn.functional.silu(input_56, inplace=True)
+        input_56 = None
+        scale_30 = torch.nn.functional.adaptive_avg_pool2d(input_57, 1)
+        scale_31 = torch.conv2d(
+            scale_30,
+            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_30 = 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_32 = torch.nn.functional.silu(scale_31, inplace=True)
+        scale_31 = None
+        scale_33 = torch.conv2d(
+            scale_32,
+            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_32 = 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_34 = torch.sigmoid(scale_33)
+        scale_33 = None
+        input_58 = scale_34 * input_57
+        scale_34 = input_57 = None
+        input_59 = torch.conv2d(
+            input_58,
+            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_58 = l_self_modules_features_modules_3_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_60 = torch.nn.functional.batch_norm(
+            input_59,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_59 = 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_3 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_3 = None
+        input_60 += input_51
+        result_3 = input_60
+        input_60 = input_51 = None
+        input_61 = torch.conv2d(
+            result_3,
+            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_62 = torch.nn.functional.batch_norm(
+            input_61,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_61 = 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_63 = torch.nn.functional.silu(input_62, inplace=True)
+        input_62 = None
+        input_64 = torch.conv2d(
+            input_63,
+            l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            288,
+        )
+        input_63 = l_self_modules_features_modules_3_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_65 = torch.nn.functional.batch_norm(
+            input_64,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_64 = 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_66 = torch.nn.functional.silu(input_65, inplace=True)
+        input_65 = None
+        scale_35 = torch.nn.functional.adaptive_avg_pool2d(input_66, 1)
+        scale_36 = torch.conv2d(
+            scale_35,
+            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_35 = 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_37 = torch.nn.functional.silu(scale_36, inplace=True)
+        scale_36 = None
+        scale_38 = torch.conv2d(
+            scale_37,
+            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_37 = 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_39 = torch.sigmoid(scale_38)
+        scale_38 = None
+        input_67 = scale_39 * input_66
+        scale_39 = input_66 = None
+        input_68 = torch.conv2d(
+            input_67,
+            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_67 = l_self_modules_features_modules_3_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_69 = torch.nn.functional.batch_norm(
+            input_68,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_68 = 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_4 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_4 = None
+        input_69 += result_3
+        result_4 = input_69
+        input_69 = result_3 = None
+        input_70 = torch.conv2d(
+            result_4,
+            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_4 = l_self_modules_features_modules_4_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_71 = torch.nn.functional.batch_norm(
+            input_70,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_70 = 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_72 = torch.nn.functional.silu(input_71, inplace=True)
+        input_71 = None
+        input_73 = torch.conv2d(
+            input_72,
+            l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (1, 1),
+            (1, 1),
+            288,
+        )
+        input_72 = l_self_modules_features_modules_4_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_74 = torch.nn.functional.batch_norm(
+            input_73,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_73 = 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_75 = torch.nn.functional.silu(input_74, inplace=True)
+        input_74 = None
+        scale_40 = torch.nn.functional.adaptive_avg_pool2d(input_75, 1)
+        scale_41 = torch.conv2d(
+            scale_40,
+            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_40 = 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_42 = torch.nn.functional.silu(scale_41, inplace=True)
+        scale_41 = None
+        scale_43 = torch.conv2d(
+            scale_42,
+            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_42 = 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_44 = torch.sigmoid(scale_43)
+        scale_43 = None
+        input_76 = scale_44 * input_75
+        scale_44 = input_75 = None
+        input_77 = torch.conv2d(
+            input_76,
+            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_76 = l_self_modules_features_modules_4_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_78 = torch.nn.functional.batch_norm(
+            input_77,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_77 = 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_79 = torch.conv2d(
+            input_78,
+            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_80 = torch.nn.functional.batch_norm(
+            input_79,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_79 = 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_81 = torch.nn.functional.silu(input_80, inplace=True)
+        input_80 = None
+        input_82 = torch.conv2d(
+            input_81,
+            l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        input_81 = l_self_modules_features_modules_4_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_83 = torch.nn.functional.batch_norm(
+            input_82,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_82 = 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_84 = torch.nn.functional.silu(input_83, inplace=True)
+        input_83 = None
+        scale_45 = torch.nn.functional.adaptive_avg_pool2d(input_84, 1)
+        scale_46 = torch.conv2d(
+            scale_45,
+            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_45 = 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_47 = torch.nn.functional.silu(scale_46, inplace=True)
+        scale_46 = None
+        scale_48 = torch.conv2d(
+            scale_47,
+            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_47 = 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_49 = torch.sigmoid(scale_48)
+        scale_48 = None
+        input_85 = scale_49 * input_84
+        scale_49 = input_84 = None
+        input_86 = torch.conv2d(
+            input_85,
+            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_85 = l_self_modules_features_modules_4_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_87 = torch.nn.functional.batch_norm(
+            input_86,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_86 = 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_5 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_5 = None
+        input_87 += input_78
+        result_5 = input_87
+        input_87 = input_78 = None
+        input_88 = torch.conv2d(
+            result_5,
+            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_89 = torch.nn.functional.batch_norm(
+            input_88,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_88 = 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_90 = torch.nn.functional.silu(input_89, inplace=True)
+        input_89 = None
+        input_91 = torch.conv2d(
+            input_90,
+            l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        input_90 = l_self_modules_features_modules_4_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_92 = torch.nn.functional.batch_norm(
+            input_91,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_91 = 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_93 = torch.nn.functional.silu(input_92, inplace=True)
+        input_92 = None
+        scale_50 = torch.nn.functional.adaptive_avg_pool2d(input_93, 1)
+        scale_51 = torch.conv2d(
+            scale_50,
+            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_50 = 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_52 = torch.nn.functional.silu(scale_51, inplace=True)
+        scale_51 = None
+        scale_53 = torch.conv2d(
+            scale_52,
+            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_52 = 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_54 = torch.sigmoid(scale_53)
+        scale_53 = None
+        input_94 = scale_54 * input_93
+        scale_54 = input_93 = None
+        input_95 = torch.conv2d(
+            input_94,
+            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_94 = l_self_modules_features_modules_4_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_96 = torch.nn.functional.batch_norm(
+            input_95,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_95 = 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_6 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_6 = None
+        input_96 += result_5
+        result_6 = input_96
+        input_96 = result_5 = None
+        input_97 = torch.conv2d(
+            result_6,
+            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_98 = torch.nn.functional.batch_norm(
+            input_97,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_97 = 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_99 = torch.nn.functional.silu(input_98, inplace=True)
+        input_98 = None
+        input_100 = torch.conv2d(
+            input_99,
+            l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            528,
+        )
+        input_99 = l_self_modules_features_modules_4_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_101 = torch.nn.functional.batch_norm(
+            input_100,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_100 = 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_102 = torch.nn.functional.silu(input_101, inplace=True)
+        input_101 = None
+        scale_55 = torch.nn.functional.adaptive_avg_pool2d(input_102, 1)
+        scale_56 = torch.conv2d(
+            scale_55,
+            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_55 = 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_57 = torch.nn.functional.silu(scale_56, inplace=True)
+        scale_56 = None
+        scale_58 = torch.conv2d(
+            scale_57,
+            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_57 = 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_59 = torch.sigmoid(scale_58)
+        scale_58 = None
+        input_103 = scale_59 * input_102
+        scale_59 = input_102 = None
+        input_104 = torch.conv2d(
+            input_103,
+            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_103 = l_self_modules_features_modules_4_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_105 = torch.nn.functional.batch_norm(
+            input_104,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_104 = 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_7 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_7 = None
+        input_105 += result_6
+        result_7 = input_105
+        input_105 = result_6 = None
+        input_106 = torch.conv2d(
+            result_7,
+            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_7 = l_self_modules_features_modules_5_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_107 = torch.nn.functional.batch_norm(
+            input_106,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_106 = 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_108 = torch.nn.functional.silu(input_107, inplace=True)
+        input_107 = None
+        input_109 = torch.conv2d(
+            input_108,
+            l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            528,
+        )
+        input_108 = l_self_modules_features_modules_5_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_110 = torch.nn.functional.batch_norm(
+            input_109,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_109 = 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_111 = torch.nn.functional.silu(input_110, inplace=True)
+        input_110 = None
+        scale_60 = torch.nn.functional.adaptive_avg_pool2d(input_111, 1)
+        scale_61 = torch.conv2d(
+            scale_60,
+            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_60 = 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_62 = torch.nn.functional.silu(scale_61, inplace=True)
+        scale_61 = None
+        scale_63 = torch.conv2d(
+            scale_62,
+            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_62 = 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_64 = torch.sigmoid(scale_63)
+        scale_63 = None
+        input_112 = scale_64 * input_111
+        scale_64 = input_111 = None
+        input_113 = torch.conv2d(
+            input_112,
+            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_112 = l_self_modules_features_modules_5_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_114 = torch.nn.functional.batch_norm(
+            input_113,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_113 = 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_115 = torch.conv2d(
+            input_114,
+            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_116 = torch.nn.functional.batch_norm(
+            input_115,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_115 = 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_117 = torch.nn.functional.silu(input_116, inplace=True)
+        input_116 = None
+        input_118 = torch.conv2d(
+            input_117,
+            l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        input_117 = l_self_modules_features_modules_5_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_119 = torch.nn.functional.batch_norm(
+            input_118,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_118 = 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_120 = torch.nn.functional.silu(input_119, inplace=True)
+        input_119 = None
+        scale_65 = torch.nn.functional.adaptive_avg_pool2d(input_120, 1)
+        scale_66 = torch.conv2d(
+            scale_65,
+            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_65 = 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_67 = torch.nn.functional.silu(scale_66, inplace=True)
+        scale_66 = None
+        scale_68 = torch.conv2d(
+            scale_67,
+            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_67 = 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_69 = torch.sigmoid(scale_68)
+        scale_68 = None
+        input_121 = scale_69 * input_120
+        scale_69 = input_120 = None
+        input_122 = torch.conv2d(
+            input_121,
+            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_121 = l_self_modules_features_modules_5_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_123 = torch.nn.functional.batch_norm(
+            input_122,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_122 = 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_8 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_8 = None
+        input_123 += input_114
+        result_8 = input_123
+        input_123 = input_114 = None
+        input_124 = torch.conv2d(
+            result_8,
+            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_125 = torch.nn.functional.batch_norm(
+            input_124,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_124 = 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_126 = torch.nn.functional.silu(input_125, inplace=True)
+        input_125 = None
+        input_127 = torch.conv2d(
+            input_126,
+            l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        input_126 = l_self_modules_features_modules_5_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_128 = torch.nn.functional.batch_norm(
+            input_127,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_127 = 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_129 = torch.nn.functional.silu(input_128, inplace=True)
+        input_128 = None
+        scale_70 = torch.nn.functional.adaptive_avg_pool2d(input_129, 1)
+        scale_71 = torch.conv2d(
+            scale_70,
+            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_70 = 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_72 = torch.nn.functional.silu(scale_71, inplace=True)
+        scale_71 = None
+        scale_73 = torch.conv2d(
+            scale_72,
+            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_72 = 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_74 = torch.sigmoid(scale_73)
+        scale_73 = None
+        input_130 = scale_74 * input_129
+        scale_74 = input_129 = None
+        input_131 = torch.conv2d(
+            input_130,
+            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_130 = l_self_modules_features_modules_5_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_132 = torch.nn.functional.batch_norm(
+            input_131,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_131 = 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_9 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_9 = None
+        input_132 += result_8
+        result_9 = input_132
+        input_132 = result_8 = None
+        input_133 = torch.conv2d(
+            result_9,
+            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_134 = torch.nn.functional.batch_norm(
+            input_133,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_133 = 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_135 = torch.nn.functional.silu(input_134, inplace=True)
+        input_134 = None
+        input_136 = torch.conv2d(
+            input_135,
+            l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        input_135 = l_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_137 = torch.nn.functional.batch_norm(
+            input_136,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_136 = 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_138 = torch.nn.functional.silu(input_137, inplace=True)
+        input_137 = None
+        scale_75 = torch.nn.functional.adaptive_avg_pool2d(input_138, 1)
+        scale_76 = torch.conv2d(
+            scale_75,
+            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_75 = 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_77 = torch.nn.functional.silu(scale_76, inplace=True)
+        scale_76 = None
+        scale_78 = torch.conv2d(
+            scale_77,
+            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_77 = 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_79 = torch.sigmoid(scale_78)
+        scale_78 = None
+        input_139 = scale_79 * input_138
+        scale_79 = input_138 = None
+        input_140 = torch.conv2d(
+            input_139,
+            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_139 = l_self_modules_features_modules_5_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_141 = torch.nn.functional.batch_norm(
+            input_140,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_140 = 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_10 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_10 = None
+        input_141 += result_9
+        result_10 = input_141
+        input_141 = result_9 = None
+        input_142 = torch.conv2d(
+            result_10,
+            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_10 = l_self_modules_features_modules_6_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_143 = torch.nn.functional.batch_norm(
+            input_142,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_142 = 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_144 = torch.nn.functional.silu(input_143, inplace=True)
+        input_143 = None
+        input_145 = torch.conv2d(
+            input_144,
+            l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (2, 2),
+            (2, 2),
+            (1, 1),
+            720,
+        )
+        input_144 = l_self_modules_features_modules_6_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_146 = torch.nn.functional.batch_norm(
+            input_145,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_145 = 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_147 = torch.nn.functional.silu(input_146, inplace=True)
+        input_146 = None
+        scale_80 = torch.nn.functional.adaptive_avg_pool2d(input_147, 1)
+        scale_81 = torch.conv2d(
+            scale_80,
+            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_80 = 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_82 = torch.nn.functional.silu(scale_81, inplace=True)
+        scale_81 = None
+        scale_83 = torch.conv2d(
+            scale_82,
+            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_82 = 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_84 = torch.sigmoid(scale_83)
+        scale_83 = None
+        input_148 = scale_84 * input_147
+        scale_84 = input_147 = None
+        input_149 = torch.conv2d(
+            input_148,
+            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_148 = l_self_modules_features_modules_6_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_150 = torch.nn.functional.batch_norm(
+            input_149,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_149 = 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_151 = torch.conv2d(
+            input_150,
+            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_152 = torch.nn.functional.batch_norm(
+            input_151,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_151 = 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_153 = torch.nn.functional.silu(input_152, inplace=True)
+        input_152 = None
+        input_154 = torch.conv2d(
+            input_153,
+            l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        input_153 = l_self_modules_features_modules_6_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_155 = torch.nn.functional.batch_norm(
+            input_154,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_154 = 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_156 = torch.nn.functional.silu(input_155, inplace=True)
+        input_155 = None
+        scale_85 = torch.nn.functional.adaptive_avg_pool2d(input_156, 1)
+        scale_86 = torch.conv2d(
+            scale_85,
+            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_85 = 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_87 = torch.nn.functional.silu(scale_86, inplace=True)
+        scale_86 = None
+        scale_88 = torch.conv2d(
+            scale_87,
+            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_87 = 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_89 = torch.sigmoid(scale_88)
+        scale_88 = None
+        input_157 = scale_89 * input_156
+        scale_89 = input_156 = None
+        input_158 = torch.conv2d(
+            input_157,
+            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_157 = l_self_modules_features_modules_6_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_159 = torch.nn.functional.batch_norm(
+            input_158,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_158 = 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_11 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_11 = None
+        input_159 += input_150
+        result_11 = input_159
+        input_159 = input_150 = None
+        input_160 = torch.conv2d(
+            result_11,
+            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_161 = torch.nn.functional.batch_norm(
+            input_160,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_160 = 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_162 = torch.nn.functional.silu(input_161, inplace=True)
+        input_161 = None
+        input_163 = torch.conv2d(
+            input_162,
+            l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        input_162 = l_self_modules_features_modules_6_modules_2_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_164 = torch.nn.functional.batch_norm(
+            input_163,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_163 = 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_165 = torch.nn.functional.silu(input_164, inplace=True)
+        input_164 = None
+        scale_90 = torch.nn.functional.adaptive_avg_pool2d(input_165, 1)
+        scale_91 = torch.conv2d(
+            scale_90,
+            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_90 = 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_92 = torch.nn.functional.silu(scale_91, inplace=True)
+        scale_91 = None
+        scale_93 = torch.conv2d(
+            scale_92,
+            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_92 = 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_94 = torch.sigmoid(scale_93)
+        scale_93 = None
+        input_166 = scale_94 * input_165
+        scale_94 = input_165 = None
+        input_167 = torch.conv2d(
+            input_166,
+            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_166 = l_self_modules_features_modules_6_modules_2_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_168 = torch.nn.functional.batch_norm(
+            input_167,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_167 = 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_12 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_12 = None
+        input_168 += result_11
+        result_12 = input_168
+        input_168 = result_11 = None
+        input_169 = torch.conv2d(
+            result_12,
+            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_170 = torch.nn.functional.batch_norm(
+            input_169,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_169 = 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_171 = torch.nn.functional.silu(input_170, inplace=True)
+        input_170 = None
+        input_172 = torch.conv2d(
+            input_171,
+            l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        input_171 = l_self_modules_features_modules_6_modules_3_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_173 = torch.nn.functional.batch_norm(
+            input_172,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_172 = 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_174 = torch.nn.functional.silu(input_173, inplace=True)
+        input_173 = None
+        scale_95 = torch.nn.functional.adaptive_avg_pool2d(input_174, 1)
+        scale_96 = torch.conv2d(
+            scale_95,
+            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_95 = 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_97 = torch.nn.functional.silu(scale_96, inplace=True)
+        scale_96 = None
+        scale_98 = torch.conv2d(
+            scale_97,
+            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_97 = 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_99 = torch.sigmoid(scale_98)
+        scale_98 = None
+        input_175 = scale_99 * input_174
+        scale_99 = input_174 = None
+        input_176 = torch.conv2d(
+            input_175,
+            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_175 = l_self_modules_features_modules_6_modules_3_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_177 = torch.nn.functional.batch_norm(
+            input_176,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_176 = 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_13 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_13 = None
+        input_177 += result_12
+        result_13 = input_177
+        input_177 = result_12 = None
+        input_178 = torch.conv2d(
+            result_13,
+            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_179 = torch.nn.functional.batch_norm(
+            input_178,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_178 = 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_180 = torch.nn.functional.silu(input_179, inplace=True)
+        input_179 = None
+        input_181 = torch.conv2d(
+            input_180,
+            l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (2, 2),
+            (1, 1),
+            1248,
+        )
+        input_180 = l_self_modules_features_modules_6_modules_4_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_182 = torch.nn.functional.batch_norm(
+            input_181,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_181 = 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_183 = torch.nn.functional.silu(input_182, inplace=True)
+        input_182 = None
+        scale_100 = torch.nn.functional.adaptive_avg_pool2d(input_183, 1)
+        scale_101 = torch.conv2d(
+            scale_100,
+            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_100 = 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_102 = torch.nn.functional.silu(scale_101, inplace=True)
+        scale_101 = None
+        scale_103 = torch.conv2d(
+            scale_102,
+            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_102 = 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_104 = torch.sigmoid(scale_103)
+        scale_103 = None
+        input_184 = scale_104 * input_183
+        scale_104 = input_183 = None
+        input_185 = torch.conv2d(
+            input_184,
+            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_184 = l_self_modules_features_modules_6_modules_4_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_186 = torch.nn.functional.batch_norm(
+            input_185,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_185 = 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_14 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_14 = None
+        input_186 += result_13
+        result_14 = input_186
+        input_186 = result_13 = None
+        input_187 = torch.conv2d(
+            result_14,
+            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_14 = l_self_modules_features_modules_7_modules_0_modules_block_modules_0_modules_0_parameters_weight_ = (None)
+        input_188 = torch.nn.functional.batch_norm(
+            input_187,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_187 = 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_189 = torch.nn.functional.silu(input_188, inplace=True)
+        input_188 = None
+        input_190 = torch.conv2d(
+            input_189,
+            l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            1248,
+        )
+        input_189 = l_self_modules_features_modules_7_modules_0_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_191 = torch.nn.functional.batch_norm(
+            input_190,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_190 = 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_192 = torch.nn.functional.silu(input_191, inplace=True)
+        input_191 = None
+        scale_105 = torch.nn.functional.adaptive_avg_pool2d(input_192, 1)
+        scale_106 = torch.conv2d(
+            scale_105,
+            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_105 = 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_107 = torch.nn.functional.silu(scale_106, inplace=True)
+        scale_106 = None
+        scale_108 = torch.conv2d(
+            scale_107,
+            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_107 = 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_109 = torch.sigmoid(scale_108)
+        scale_108 = None
+        input_193 = scale_109 * input_192
+        scale_109 = input_192 = None
+        input_194 = torch.conv2d(
+            input_193,
+            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_193 = l_self_modules_features_modules_7_modules_0_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_195 = torch.nn.functional.batch_norm(
+            input_194,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_194 = 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_196 = torch.conv2d(
+            input_195,
+            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_197 = torch.nn.functional.batch_norm(
+            input_196,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_196 = 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_198 = torch.nn.functional.silu(input_197, inplace=True)
+        input_197 = None
+        input_199 = torch.conv2d(
+            input_198,
+            l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (1, 1),
+            (1, 1),
+            2112,
+        )
+        input_198 = l_self_modules_features_modules_7_modules_1_modules_block_modules_1_modules_0_parameters_weight_ = (None)
+        input_200 = torch.nn.functional.batch_norm(
+            input_199,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_199 = 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_201 = torch.nn.functional.silu(input_200, inplace=True)
+        input_200 = None
+        scale_110 = torch.nn.functional.adaptive_avg_pool2d(input_201, 1)
+        scale_111 = torch.conv2d(
+            scale_110,
+            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_110 = 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_112 = torch.nn.functional.silu(scale_111, inplace=True)
+        scale_111 = None
+        scale_113 = torch.conv2d(
+            scale_112,
+            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_112 = 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_114 = torch.sigmoid(scale_113)
+        scale_113 = None
+        input_202 = scale_114 * input_201
+        scale_114 = input_201 = None
+        input_203 = torch.conv2d(
+            input_202,
+            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_202 = l_self_modules_features_modules_7_modules_1_modules_block_modules_3_modules_0_parameters_weight_ = (None)
+        input_204 = torch.nn.functional.batch_norm(
+            input_203,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_203 = 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_15 = torch._C._log_api_usage_once(
+            "torchvision.ops.stochastic_depth.stochastic_depth"
+        )
+        _log_api_usage_once_15 = None
+        input_204 += input_195
+        result_15 = input_204
+        input_204 = input_195 = None
+        input_205 = torch.conv2d(
+            result_15,
+            l_self_modules_features_modules_8_modules_0_parameters_weight_,
+            None,
+            (1, 1),
+            (0, 0),
+            (1, 1),
+            1,
+        )
+        result_15 = (
+            l_self_modules_features_modules_8_modules_0_parameters_weight_
+        ) = None
+        input_206 = torch.nn.functional.batch_norm(
+            input_205,
+            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,
+            0.1,
+            1e-05,
+        )
+        input_205 = (
+            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_207 = torch.nn.functional.silu(input_206, inplace=True)
+        input_206 = None
+        x = torch.nn.functional.adaptive_avg_pool2d(input_207, 1)
+        input_207 = None
+        x_1 = torch.flatten(x, 1)
+        x = None
+        input_208 = torch.nn.functional.dropout(x_1, 0.3, False, True)
+        x_1 = None
+        input_209 = torch._C._nn.linear(
+            input_208,
+            l_self_modules_classifier_modules_1_parameters_weight_,
+            l_self_modules_classifier_modules_1_parameters_bias_,
+        )
+        input_208 = (
+            l_self_modules_classifier_modules_1_parameters_weight_
+        ) = l_self_modules_classifier_modules_1_parameters_bias_ = None
+        return (input_209,)
diff --git a/samples/torchvision/efficientnet_b2/weight_meta.py b/samples/torchvision/efficientnet_b2/weight_meta.py
new file mode 100644
index 0000000000..2dba2789b3
--- /dev/null
+++ b/samples/torchvision/efficientnet_b2/weight_meta.py
@@ -0,0 +1,4408 @@
+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 = [32, 3, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.449
+    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 = 0.225
+    std = 1.288
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.007
+    std = 0.213
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.474
+    std = 7.714
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.940
+    std = 2.024
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.953
+    std = 4.527
+    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 = [32, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.024
+    std = 0.598
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.836
+    std = 3.063
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 7.051
+    std = 15.614
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.069
+    std = 1.611
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.314
+    std = 1.594
+    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 = [8, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.041
+    std = 0.224
+    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 = [8]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.131
+    std = 0.890
+    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 = [32, 8, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.124
+    std = 0.310
+    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 = [32]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.488
+    std = 1.074
+    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 = [16, 32, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.030
+    std = 0.384
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.120
+    std = 1.687
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.011
+    std = 0.852
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.361
+    std = 2.828
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.530
+    std = 1.457
+    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 = [16, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.049
+    std = 0.378
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.094
+    std = 0.789
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 44.616
+    std = 66.231
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.288
+    std = 1.289
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.901
+    std = 1.999
+    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 = [4, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.067
+    std = 0.193
+    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 = [4]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.258
+    std = 2.824
+    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 = [16, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.111
+    std = 0.206
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.477
+    std = 1.187
+    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 = [16, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.316
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.075
+    std = 2.486
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.776
+    std = 4.402
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.065
+    std = 3.089
+    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 = [16]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.475
+    std = 3.281
+    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 = [96, 16, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.290
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.449
+    std = 2.970
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 45.903
+    std = 34.497
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.210
+    std = 1.957
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.075
+    std = 1.384
+    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 = [96, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.268
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.257
+    std = 2.052
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.121
+    std = 8.310
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.942
+    std = 2.101
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.817
+    std = 2.625
+    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 = [4, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.168
+    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 = [4]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.026
+    std = 0.596
+    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 = [96, 4, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.144
+    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 = [96]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.801
+    std = 1.216
+    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 = [24, 96, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.286
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -4.174
+    std = 13.298
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 101.596
+    std = 96.306
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 6.806
+    std = 1.086
+    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 = [24]
+    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 = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.182
+    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 = [144]
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 54.978
+    std = 65.156
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.312
+    std = 0.985
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.111
+    std = 1.696
+    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 = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.233
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.247
+    std = 0.722
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.333
+    std = 0.851
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.806
+    std = 0.897
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.124
+    std = 1.179
+    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 = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.151
+    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 = [6]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.572
+    std = 0.715
+    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 = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.012
+    std = 0.152
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.546
+    std = 1.399
+    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 = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.168
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.239
+    std = 1.542
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.055
+    std = 0.882
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 3.616
+    std = 1.587
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.861
+    std = 2.259
+    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 = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.164
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.100
+    std = 1.804
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 52.400
+    std = 21.127
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.312
+    std = 0.843
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.345
+    std = 1.429
+    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 = [144, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.212
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.086
+    std = 0.566
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.266
+    std = 0.403
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.770
+    std = 0.720
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.319
+    std = 1.016
+    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 = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.155
+    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 = [6]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.016
+    std = 0.651
+    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 = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    std = 0.172
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.060
+    std = 1.116
+    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 = [24, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.154
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.124
+    std = 0.952
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.699
+    std = 0.259
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.814
+    std = 1.218
+    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 = [24]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.600
+    std = 1.777
+    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 = [144, 24, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.258
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -3.042
+    std = 3.562
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 157.162
+    std = 102.860
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.060
+    std = 0.924
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.064
+    std = 1.143
+    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 = [144, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.179
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.450
+    std = 1.406
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.482
+    std = 3.569
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.798
+    std = 1.066
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.145
+    std = 1.647
+    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 = [6, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.091
+    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 = [6]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.400
+    std = 0.284
+    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 = [144, 6, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.036
+    std = 0.128
+    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 = [144]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.775
+    std = 1.644
+    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 = [48, 144, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.003
+    std = 0.205
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 3.161
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 3.600
+    std = 4.421
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.840
+    std = 1.268
+    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 = [48]
+    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 = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.114
+    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 = [288]
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 31.405
+    std = 12.327
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.936
+    std = 0.659
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.086
+    std = 1.117
+    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 = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.132
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.128
+    std = 0.470
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.207
+    std = 0.366
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.678
+    std = 0.858
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.474
+    std = 1.096
+    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 = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.108
+    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 = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.831
+    std = 0.660
+    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 = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.124
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.184
+    std = 1.075
+    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 = [48, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.112
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.125
+    std = 0.542
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.644
+    std = 0.202
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.715
+    std = 1.380
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.027
+    std = 1.308
+    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 = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.003
+    std = 0.107
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.433
+    std = 0.982
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 35.604
+    std = 14.646
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.060
+    std = 0.660
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.013
+    std = 1.098
+    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 = [288, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.118
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.149
+    std = 0.482
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.231
+    std = 0.416
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.472
+    std = 0.715
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.713
+    std = 1.090
+    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 = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.104
+    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 = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.735
+    std = 0.475
+    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 = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.119
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.464
+    std = 1.033
+    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 = [48, 288, 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_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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.071
+    std = 0.254
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.150
+    std = 0.052
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.079
+    std = 1.044
+    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 = [48]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.947
+    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 = [288, 48, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.169
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.249
+    std = 1.777
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 104.796
+    std = 48.798
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.217
+    std = 0.542
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.645
+    std = 0.983
+    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 = [288, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.162
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.322
+    std = 0.554
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.306
+    std = 0.555
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.118
+    std = 0.493
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.411
+    std = 1.295
+    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 = [12, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.054
+    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 = [12]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.088
+    std = 0.324
+    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 = [288, 12, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.067
+    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 = [288]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.643
+    std = 1.325
+    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 = [88, 288, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.141
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.090
+    std = 2.664
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.850
+    std = 2.479
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.311
+    std = 1.142
+    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 = [88]
+    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 = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.072
+    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 = [528]
+    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_1_buffers_running_var_:
+    name = "L_self_modules_features_modules_4_modules_1_modules_block_modules_0_modules_1_buffers_running_var_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.162
+    std = 7.683
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.937
+    std = 0.529
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.070
+    std = 0.984
+    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 = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.112
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.070
+    std = 0.209
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.059
+    std = 0.107
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.521
+    std = 0.652
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.723
+    std = 0.896
+    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 = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.077
+    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 = [22]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.890
+    std = 0.274
+    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 = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.094
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.110
+    std = 0.680
+    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 = [88, 528, 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_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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.008
+    std = 0.207
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.122
+    std = 0.029
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.606
+    std = 0.636
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.562
+    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 = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.071
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.171
+    std = 0.369
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.356
+    std = 7.584
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.864
+    std = 0.504
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.083
+    std = 0.874
+    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 = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.109
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.059
+    std = 0.205
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.044
+    std = 0.089
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.443
+    std = 0.709
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.737
+    std = 0.864
+    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 = [22, 528, 1, 1]
+    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_2_modules_fc1_parameters_bias_:
+    name = "L_self_modules_features_modules_4_modules_2_modules_block_modules_2_modules_fc1_parameters_bias_"
+    shape = [22]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.670
+    std = 0.429
+    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 = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.006
+    std = 0.088
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.188
+    std = 0.653
+    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 = [88, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.065
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.030
+    std = 0.158
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.089
+    std = 0.022
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.532
+    std = 0.617
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.038
+    std = 0.581
+    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 = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.071
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.354
+    std = 0.732
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 22.059
+    std = 8.438
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.952
+    std = 0.449
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.213
+    std = 0.859
+    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 = [528, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.106
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.059
+    std = 0.160
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.044
+    std = 0.074
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.412
+    std = 0.616
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.726
+    std = 0.852
+    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 = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.067
+    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 = [22]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.773
+    std = 0.365
+    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 = [528, 22, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.011
+    std = 0.081
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.368
+    std = 0.727
+    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 = [88, 528, 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_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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.136
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.051
+    std = 0.014
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.407
+    std = 0.598
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.034
+    std = 0.460
+    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 = [528, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.112
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.773
+    std = 1.203
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 54.571
+    std = 18.499
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.081
+    std = 0.735
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.077
+    std = 0.888
+    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 = [528, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.009
+    std = 0.140
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.151
+    std = 0.475
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.389
+    std = 0.569
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.017
+    std = 0.665
+    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 = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.051
+    std = 0.819
+    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 = [22, 528, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.082
+    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 = [22]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.516
+    std = 0.678
+    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 = [528, 22, 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_2_modules_fc2_parameters_bias_:
+    name = "L_self_modules_features_modules_5_modules_0_modules_block_modules_2_modules_fc2_parameters_bias_"
+    shape = [528]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.709
+    std = 1.178
+    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 = [120, 528, 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_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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.088
+    std = 1.047
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.182
+    std = 1.040
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 5.068
+    std = 0.800
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    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 = [720, 120, 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_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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.000
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 20.601
+    std = 7.629
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.032
+    std = 0.490
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.435
+    std = 0.863
+    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 = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.074
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.069
+    std = 0.189
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.079
+    std = 0.116
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.576
+    std = 0.638
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.807
+    std = 0.780
+    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 = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.069
+    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 = [30]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.975
+    std = 0.390
+    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 = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.080
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.224
+    std = 0.666
+    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 = [120, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.059
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.005
+    std = 0.147
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.119
+    std = 0.041
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.562
+    std = 0.777
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.078
+    std = 0.472
+    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 = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.063
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.330
+    std = 0.338
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 21.624
+    std = 7.354
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.055
+    std = 0.447
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.473
+    std = 0.786
+    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 = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.002
+    std = 0.074
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.071
+    std = 0.186
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.075
+    std = 0.124
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.535
+    std = 0.592
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.851
+    std = 0.778
+    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 = [30, 720, 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_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 = [30]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.646
+    std = 0.273
+    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 = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.015
+    std = 0.068
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.285
+    std = 0.612
+    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 = [120, 720, 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_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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.155
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.090
+    std = 0.036
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.478
+    std = 0.776
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.071
+    std = 0.432
+    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 = [720, 120, 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_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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.700
+    std = 0.653
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 23.479
+    std = 7.818
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.082
+    std = 0.386
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.722
+    std = 0.762
+    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 = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.005
+    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_mean_:
+    name = "L_self_modules_features_modules_5_modules_3_modules_block_modules_1_modules_1_buffers_running_mean_"
+    shape = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.061
+    std = 0.146
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.051
+    std = 0.085
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.482
+    std = 0.540
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.763
+    std = 0.774
+    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 = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.056
+    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 = [30]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.704
+    std = 0.329
+    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 = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.014
+    std = 0.066
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.370
+    std = 0.584
+    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 = [120, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.055
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.118
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.085
+    std = 0.037
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.347
+    std = 0.662
+    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 = [120]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.037
+    std = 0.258
+    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 = [720, 120, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.103
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.072
+    std = 0.960
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 66.700
+    std = 20.371
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.019
+    std = 0.596
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.975
+    std = 0.924
+    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 = [720, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.095
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.254
+    std = 0.548
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.159
+    std = 0.409
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.026
+    std = 0.593
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.474
+    std = 0.836
+    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 = [30, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.078
+    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 = [30]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.324
+    std = 0.893
+    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 = [720, 30, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.012
+    std = 0.079
+    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 = [720]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.464
+    std = 1.061
+    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 = [208, 720, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.092
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.044
+    std = 1.377
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.066
+    std = 1.759
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 4.488
+    std = 0.637
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    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 = [1248, 208, 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_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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.001
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 18.405
+    std = 5.084
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.818
+    std = 0.467
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.466
+    std = 0.767
+    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 = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.065
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.070
+    std = 0.128
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.041
+    std = 0.092
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.622
+    std = 0.447
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.912
+    std = 0.718
+    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 = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.055
+    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 = [52]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.278
+    std = 0.303
+    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 = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.015
+    std = 0.067
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.372
+    std = 0.531
+    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 = [208, 1248, 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_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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.142
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.175
+    std = 0.050
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.556
+    std = 0.531
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.020
+    std = 0.351
+    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 = [1248, 208, 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_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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.300
+    std = 0.338
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 21.042
+    std = 5.875
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.868
+    std = 0.439
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.606
+    std = 0.805
+    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 = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.062
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.071
+    std = 0.123
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.036
+    std = 0.089
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.619
+    std = 0.487
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.927
+    std = 0.683
+    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 = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.054
+    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 = [52]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.395
+    std = 0.347
+    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 = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.017
+    std = 0.065
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.426
+    std = 0.502
+    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 = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.050
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.110
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.120
+    std = 0.037
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.496
+    std = 0.525
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.348
+    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 = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.054
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.727
+    std = 0.677
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 24.334
+    std = 7.028
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.931
+    std = 0.406
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.769
+    std = 0.822
+    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 = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.058
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.072
+    std = 0.113
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.032
+    std = 0.104
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.505
+    std = 0.480
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.842
+    std = 0.677
+    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 = [52, 1248, 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_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 = [52]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.408
+    std = 0.319
+    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 = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.017
+    std = 0.064
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.444
+    std = 0.477
+    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 = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.049
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.100
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.082
+    std = 0.025
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.453
+    std = 0.464
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.018
+    std = 0.324
+    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 = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.055
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.223
+    std = 0.965
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 27.514
+    std = 7.736
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.979
+    std = 0.357
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.996
+    std = 0.817
+    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 = [1248, 1, 5, 5]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.015
+    std = 0.053
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.075
+    std = 0.100
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.021
+    std = 0.051
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.497
+    std = 0.427
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.816
+    std = 0.664
+    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 = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.001
+    std = 0.054
+    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 = [52]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.431
+    std = 0.413
+    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 = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.019
+    std = 0.064
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.459
+    std = 0.469
+    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 = [208, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.049
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.009
+    std = 0.094
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.091
+    std = 0.047
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.445
+    std = 0.436
+    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 = [208]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.014
+    std = 0.240
+    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 = [1248, 208, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.083
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.128
+    std = 2.030
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 69.845
+    std = 24.164
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.382
+    std = 0.477
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.476
+    std = 0.661
+    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 = [1248, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.024
+    std = 0.085
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.095
+    std = 0.184
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.010
+    std = 0.037
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.714
+    std = 0.595
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.923
+    std = 1.132
+    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 = [52, 1248, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.091
+    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 = [52]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.716
+    std = 0.761
+    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 = [1248, 52, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.098
+    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 = [1248]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.367
+    std = 0.759
+    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 = [352, 1248, 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_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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.008
+    std = 0.360
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.413
+    std = 0.454
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.721
+    std = 0.154
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.001
+    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 = [2112, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.045
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.002
+    std = 0.002
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 8.203
+    std = 3.053
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.714
+    std = 0.372
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.555
+    std = 0.690
+    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 = [2112, 1, 3, 3]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.016
+    std = 0.056
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.045
+    std = 0.040
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.007
+    std = 0.011
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.735
+    std = 0.443
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.215
+    std = 0.867
+    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 = [88, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.059
+    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 = [88]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.006
+    std = 0.845
+    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 = [2112, 88, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.025
+    std = 0.059
+    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 = [2112]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.493
+    std = 0.557
+    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 = [352, 2112, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.037
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.004
+    std = 0.041
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.035
+    std = 0.021
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 1.556
+    std = 0.183
+    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 = [352]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.000
+    std = 0.259
+    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 = [1408, 352, 1, 1]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 0.000
+    std = 0.056
+    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 = [1408]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.628
+    std = 0.065
+    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 = [1408]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 13.150
+    std = 0.822
+    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 = [1408]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = 2.403
+    std = 0.239
+    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 = [1408]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -1.784
+    std = 0.325
+    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, 1408]
+    dtype = "torch.float32"
+    device = "cpu"
+    mean = -0.001
+    std = 0.060
+    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 = -0.368
+    std = 0.076
+    data = None