From 360003dba23f4d88e2cb24d9f037d34b7ae3ef85 Mon Sep 17 00:00:00 2001 From: cutelemon6 Date: Tue, 5 Aug 2025 07:10:13 +0000 Subject: [PATCH 1/3] add google_vit-base-patch16-224 & microsoft_resnet-50 --- .../graph_hash.txt | 1 + .../graph_net.json | 5 + .../google_vit-base-patch16-224/input_meta.py | 0 .../input_tensor_constraints.py | 0 .../google_vit-base-patch16-224/model.py | 1677 ++++++++++ .../weight_meta.py | 2018 +++++++++++++ .../microsoft_resnet-50/graph_hash.txt | 1 + .../microsoft_resnet-50/graph_net.json | 5 + .../microsoft_resnet-50/input_meta.py | 0 .../input_tensor_constraints.py | 0 .../microsoft_resnet-50/model.py | 1858 ++++++++++++ .../microsoft_resnet-50/weight_meta.py | 2688 +++++++++++++++++ 12 files changed, 8253 insertions(+) create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/graph_hash.txt create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/graph_net.json create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/input_meta.py create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/input_tensor_constraints.py create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/model.py create mode 100644 samples/transformers-auto-model/google_vit-base-patch16-224/weight_meta.py create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/graph_hash.txt create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/graph_net.json create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/input_meta.py create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/input_tensor_constraints.py create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/model.py create mode 100644 samples/transformers-auto-model/microsoft_resnet-50/weight_meta.py diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/graph_hash.txt b/samples/transformers-auto-model/google_vit-base-patch16-224/graph_hash.txt new file mode 100644 index 0000000000..95cd74fd1e --- /dev/null +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/graph_hash.txt @@ -0,0 +1 @@ +5d1eb3b61f5aea2262dfa275b5b6ec799ef6855efb686bdd75eb2f8039d49b14 \ No newline at end of file diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/graph_net.json b/samples/transformers-auto-model/google_vit-base-patch16-224/graph_net.json new file mode 100644 index 0000000000..1373fe3b58 --- /dev/null +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/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/transformers-auto-model/google_vit-base-patch16-224/input_meta.py b/samples/transformers-auto-model/google_vit-base-patch16-224/input_meta.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/input_tensor_constraints.py b/samples/transformers-auto-model/google_vit-base-patch16-224/input_tensor_constraints.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/model.py b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py new file mode 100644 index 0000000000..226e30b464 --- /dev/null +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py @@ -0,0 +1,1677 @@ +import torch + + +class GraphModule(torch.nn.Module): + def forward( + self, + L_pixel_values_: torch.Tensor, + object_getattribute_L_self_config_num_hidden_layers_: torch.SymInt, + L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_embeddings_parameters_cls_token_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_embeddings_parameters_position_embeddings_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_layernorm_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_vit_modules_layernorm_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_classifier_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_classifier_parameters_bias_: torch.nn.parameter.Parameter, + ): + l_pixel_values_ = L_pixel_values_ + object_getattribute_l_self_config_num_hidden_layers_ = ( + object_getattribute_L_self_config_num_hidden_layers_ + ) + l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_ = L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_ + l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_ = L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_ + l_self_modules_vit_modules_embeddings_parameters_cls_token_ = ( + L_self_modules_vit_modules_embeddings_parameters_cls_token_ + ) + l_self_modules_vit_modules_embeddings_parameters_position_embeddings_ = ( + L_self_modules_vit_modules_embeddings_parameters_position_embeddings_ + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ = L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ + l_self_modules_vit_modules_layernorm_parameters_weight_ = ( + L_self_modules_vit_modules_layernorm_parameters_weight_ + ) + l_self_modules_vit_modules_layernorm_parameters_bias_ = ( + L_self_modules_vit_modules_layernorm_parameters_bias_ + ) + l_self_modules_classifier_parameters_weight_ = ( + L_self_modules_classifier_parameters_weight_ + ) + l_self_modules_classifier_parameters_bias_ = ( + L_self_modules_classifier_parameters_bias_ + ) + mul = [None] * object_getattribute_l_self_config_num_hidden_layers_ + object_getattribute_l_self_config_num_hidden_layers_ = mul = None + conv2d = torch.conv2d( + l_pixel_values_, + l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_, + l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_, + (16, 16), + (0, 0), + (1, 1), + 1, + ) + l_pixel_values_ = l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_ = l_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_ = (None) + flatten = conv2d.flatten(2) + conv2d = None + embeddings = flatten.transpose(1, 2) + flatten = None + cls_tokens = l_self_modules_vit_modules_embeddings_parameters_cls_token_.expand( + 1, -1, -1 + ) + l_self_modules_vit_modules_embeddings_parameters_cls_token_ = None + embeddings_1 = torch.cat((cls_tokens, embeddings), dim=1) + cls_tokens = embeddings = None + embeddings_2 = ( + embeddings_1 + + l_self_modules_vit_modules_embeddings_parameters_position_embeddings_ + ) + embeddings_1 = ( + l_self_modules_vit_modules_embeddings_parameters_position_embeddings_ + ) = None + embeddings_3 = torch.nn.functional.dropout(embeddings_2, 0.0, False, False) + embeddings_2 = None + layer_norm = torch.nn.functional.layer_norm( + embeddings_3, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_ = (None) + linear = torch._C._nn.linear( + layer_norm, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view = linear.view(1, -1, 12, 64) + linear = None + key_layer = view.transpose(1, 2) + view = None + linear_1 = torch._C._nn.linear( + layer_norm, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_1 = linear_1.view(1, -1, 12, 64) + linear_1 = None + value_layer = view_1.transpose(1, 2) + view_1 = None + linear_2 = torch._C._nn.linear( + layer_norm, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_2 = linear_2.view(1, -1, 12, 64) + linear_2 = None + query_layer = view_2.transpose(1, 2) + view_2 = None + query = query_layer.contiguous() + query_layer = None + key = key_layer.contiguous() + key_layer = None + value = value_layer.contiguous() + value_layer = None + attn_output = torch._C._nn.scaled_dot_product_attention( + query, + key, + value, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query = key = value = None + transpose_4 = attn_output.transpose(1, 2) + attn_output = None + attn_output_1 = transpose_4.contiguous() + transpose_4 = None + context_layer = attn_output_1.reshape((1, 197, 768)) + attn_output_1 = None + hidden_states = torch._C._nn.linear( + context_layer, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_1 = torch.nn.functional.dropout(hidden_states, 0.0, False, False) + hidden_states = None + hidden_states_2 = hidden_states_1 + embeddings_3 + hidden_states_1 = embeddings_3 = None + layer_output = torch.nn.functional.layer_norm( + hidden_states_2, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_3 = torch._C._nn.linear( + layer_output, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_4 = torch._C._nn.gelu(hidden_states_3) + hidden_states_3 = None + hidden_states_5 = torch._C._nn.linear( + hidden_states_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_4 = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_6 = torch.nn.functional.dropout( + hidden_states_5, 0.0, False, False + ) + hidden_states_5 = None + hidden_states_7 = hidden_states_6 + hidden_states_2 + hidden_states_6 = hidden_states_2 = None + layer_norm_2 = torch.nn.functional.layer_norm( + hidden_states_7, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_ = (None) + linear_6 = torch._C._nn.linear( + layer_norm_2, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_3 = linear_6.view(1, -1, 12, 64) + linear_6 = None + key_layer_1 = view_3.transpose(1, 2) + view_3 = None + linear_7 = torch._C._nn.linear( + layer_norm_2, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_4 = linear_7.view(1, -1, 12, 64) + linear_7 = None + value_layer_1 = view_4.transpose(1, 2) + view_4 = None + linear_8 = torch._C._nn.linear( + layer_norm_2, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_2 = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_5 = linear_8.view(1, -1, 12, 64) + linear_8 = None + query_layer_1 = view_5.transpose(1, 2) + view_5 = None + query_1 = query_layer_1.contiguous() + query_layer_1 = None + key_1 = key_layer_1.contiguous() + key_layer_1 = None + value_1 = value_layer_1.contiguous() + value_layer_1 = None + attn_output_2 = torch._C._nn.scaled_dot_product_attention( + query_1, + key_1, + value_1, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_1 = key_1 = value_1 = None + transpose_8 = attn_output_2.transpose(1, 2) + attn_output_2 = None + attn_output_3 = transpose_8.contiguous() + transpose_8 = None + context_layer_1 = attn_output_3.reshape((1, 197, 768)) + attn_output_3 = None + hidden_states_8 = torch._C._nn.linear( + context_layer_1, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_1 = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_9 = torch.nn.functional.dropout( + hidden_states_8, 0.0, False, False + ) + hidden_states_8 = None + hidden_states_10 = hidden_states_9 + hidden_states_7 + hidden_states_9 = hidden_states_7 = None + layer_output_1 = torch.nn.functional.layer_norm( + hidden_states_10, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_11 = torch._C._nn.linear( + layer_output_1, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_1 = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_12 = torch._C._nn.gelu(hidden_states_11) + hidden_states_11 = None + hidden_states_13 = torch._C._nn.linear( + hidden_states_12, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_12 = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_14 = torch.nn.functional.dropout( + hidden_states_13, 0.0, False, False + ) + hidden_states_13 = None + hidden_states_15 = hidden_states_14 + hidden_states_10 + hidden_states_14 = hidden_states_10 = None + layer_norm_4 = torch.nn.functional.layer_norm( + hidden_states_15, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_ = (None) + linear_12 = torch._C._nn.linear( + layer_norm_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_6 = linear_12.view(1, -1, 12, 64) + linear_12 = None + key_layer_2 = view_6.transpose(1, 2) + view_6 = None + linear_13 = torch._C._nn.linear( + layer_norm_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_7 = linear_13.view(1, -1, 12, 64) + linear_13 = None + value_layer_2 = view_7.transpose(1, 2) + view_7 = None + linear_14 = torch._C._nn.linear( + layer_norm_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_4 = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_8 = linear_14.view(1, -1, 12, 64) + linear_14 = None + query_layer_2 = view_8.transpose(1, 2) + view_8 = None + query_2 = query_layer_2.contiguous() + query_layer_2 = None + key_2 = key_layer_2.contiguous() + key_layer_2 = None + value_2 = value_layer_2.contiguous() + value_layer_2 = None + attn_output_4 = torch._C._nn.scaled_dot_product_attention( + query_2, + key_2, + value_2, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_2 = key_2 = value_2 = None + transpose_12 = attn_output_4.transpose(1, 2) + attn_output_4 = None + attn_output_5 = transpose_12.contiguous() + transpose_12 = None + context_layer_2 = attn_output_5.reshape((1, 197, 768)) + attn_output_5 = None + hidden_states_16 = torch._C._nn.linear( + context_layer_2, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_2 = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_17 = torch.nn.functional.dropout( + hidden_states_16, 0.0, False, False + ) + hidden_states_16 = None + hidden_states_18 = hidden_states_17 + hidden_states_15 + hidden_states_17 = hidden_states_15 = None + layer_output_2 = torch.nn.functional.layer_norm( + hidden_states_18, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_19 = torch._C._nn.linear( + layer_output_2, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_2 = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_20 = torch._C._nn.gelu(hidden_states_19) + hidden_states_19 = None + hidden_states_21 = torch._C._nn.linear( + hidden_states_20, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_20 = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_22 = torch.nn.functional.dropout( + hidden_states_21, 0.0, False, False + ) + hidden_states_21 = None + hidden_states_23 = hidden_states_22 + hidden_states_18 + hidden_states_22 = hidden_states_18 = None + layer_norm_6 = torch.nn.functional.layer_norm( + hidden_states_23, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_ = (None) + linear_18 = torch._C._nn.linear( + layer_norm_6, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_9 = linear_18.view(1, -1, 12, 64) + linear_18 = None + key_layer_3 = view_9.transpose(1, 2) + view_9 = None + linear_19 = torch._C._nn.linear( + layer_norm_6, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_10 = linear_19.view(1, -1, 12, 64) + linear_19 = None + value_layer_3 = view_10.transpose(1, 2) + view_10 = None + linear_20 = torch._C._nn.linear( + layer_norm_6, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_6 = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_11 = linear_20.view(1, -1, 12, 64) + linear_20 = None + query_layer_3 = view_11.transpose(1, 2) + view_11 = None + query_3 = query_layer_3.contiguous() + query_layer_3 = None + key_3 = key_layer_3.contiguous() + key_layer_3 = None + value_3 = value_layer_3.contiguous() + value_layer_3 = None + attn_output_6 = torch._C._nn.scaled_dot_product_attention( + query_3, + key_3, + value_3, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_3 = key_3 = value_3 = None + transpose_16 = attn_output_6.transpose(1, 2) + attn_output_6 = None + attn_output_7 = transpose_16.contiguous() + transpose_16 = None + context_layer_3 = attn_output_7.reshape((1, 197, 768)) + attn_output_7 = None + hidden_states_24 = torch._C._nn.linear( + context_layer_3, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_3 = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_25 = torch.nn.functional.dropout( + hidden_states_24, 0.0, False, False + ) + hidden_states_24 = None + hidden_states_26 = hidden_states_25 + hidden_states_23 + hidden_states_25 = hidden_states_23 = None + layer_output_3 = torch.nn.functional.layer_norm( + hidden_states_26, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_27 = torch._C._nn.linear( + layer_output_3, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_3 = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_28 = torch._C._nn.gelu(hidden_states_27) + hidden_states_27 = None + hidden_states_29 = torch._C._nn.linear( + hidden_states_28, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_28 = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_30 = torch.nn.functional.dropout( + hidden_states_29, 0.0, False, False + ) + hidden_states_29 = None + hidden_states_31 = hidden_states_30 + hidden_states_26 + hidden_states_30 = hidden_states_26 = None + layer_norm_8 = torch.nn.functional.layer_norm( + hidden_states_31, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_ = (None) + linear_24 = torch._C._nn.linear( + layer_norm_8, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_12 = linear_24.view(1, -1, 12, 64) + linear_24 = None + key_layer_4 = view_12.transpose(1, 2) + view_12 = None + linear_25 = torch._C._nn.linear( + layer_norm_8, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_13 = linear_25.view(1, -1, 12, 64) + linear_25 = None + value_layer_4 = view_13.transpose(1, 2) + view_13 = None + linear_26 = torch._C._nn.linear( + layer_norm_8, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_8 = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_14 = linear_26.view(1, -1, 12, 64) + linear_26 = None + query_layer_4 = view_14.transpose(1, 2) + view_14 = None + query_4 = query_layer_4.contiguous() + query_layer_4 = None + key_4 = key_layer_4.contiguous() + key_layer_4 = None + value_4 = value_layer_4.contiguous() + value_layer_4 = None + attn_output_8 = torch._C._nn.scaled_dot_product_attention( + query_4, + key_4, + value_4, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_4 = key_4 = value_4 = None + transpose_20 = attn_output_8.transpose(1, 2) + attn_output_8 = None + attn_output_9 = transpose_20.contiguous() + transpose_20 = None + context_layer_4 = attn_output_9.reshape((1, 197, 768)) + attn_output_9 = None + hidden_states_32 = torch._C._nn.linear( + context_layer_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_4 = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_33 = torch.nn.functional.dropout( + hidden_states_32, 0.0, False, False + ) + hidden_states_32 = None + hidden_states_34 = hidden_states_33 + hidden_states_31 + hidden_states_33 = hidden_states_31 = None + layer_output_4 = torch.nn.functional.layer_norm( + hidden_states_34, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_35 = torch._C._nn.linear( + layer_output_4, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_4 = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_36 = torch._C._nn.gelu(hidden_states_35) + hidden_states_35 = None + hidden_states_37 = torch._C._nn.linear( + hidden_states_36, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_36 = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_38 = torch.nn.functional.dropout( + hidden_states_37, 0.0, False, False + ) + hidden_states_37 = None + hidden_states_39 = hidden_states_38 + hidden_states_34 + hidden_states_38 = hidden_states_34 = None + layer_norm_10 = torch.nn.functional.layer_norm( + hidden_states_39, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_ = (None) + linear_30 = torch._C._nn.linear( + layer_norm_10, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_15 = linear_30.view(1, -1, 12, 64) + linear_30 = None + key_layer_5 = view_15.transpose(1, 2) + view_15 = None + linear_31 = torch._C._nn.linear( + layer_norm_10, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_16 = linear_31.view(1, -1, 12, 64) + linear_31 = None + value_layer_5 = view_16.transpose(1, 2) + view_16 = None + linear_32 = torch._C._nn.linear( + layer_norm_10, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_10 = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_17 = linear_32.view(1, -1, 12, 64) + linear_32 = None + query_layer_5 = view_17.transpose(1, 2) + view_17 = None + query_5 = query_layer_5.contiguous() + query_layer_5 = None + key_5 = key_layer_5.contiguous() + key_layer_5 = None + value_5 = value_layer_5.contiguous() + value_layer_5 = None + attn_output_10 = torch._C._nn.scaled_dot_product_attention( + query_5, + key_5, + value_5, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_5 = key_5 = value_5 = None + transpose_24 = attn_output_10.transpose(1, 2) + attn_output_10 = None + attn_output_11 = transpose_24.contiguous() + transpose_24 = None + context_layer_5 = attn_output_11.reshape((1, 197, 768)) + attn_output_11 = None + hidden_states_40 = torch._C._nn.linear( + context_layer_5, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_5 = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_41 = torch.nn.functional.dropout( + hidden_states_40, 0.0, False, False + ) + hidden_states_40 = None + hidden_states_42 = hidden_states_41 + hidden_states_39 + hidden_states_41 = hidden_states_39 = None + layer_output_5 = torch.nn.functional.layer_norm( + hidden_states_42, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_43 = torch._C._nn.linear( + layer_output_5, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_5 = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_44 = torch._C._nn.gelu(hidden_states_43) + hidden_states_43 = None + hidden_states_45 = torch._C._nn.linear( + hidden_states_44, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_44 = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_46 = torch.nn.functional.dropout( + hidden_states_45, 0.0, False, False + ) + hidden_states_45 = None + hidden_states_47 = hidden_states_46 + hidden_states_42 + hidden_states_46 = hidden_states_42 = None + layer_norm_12 = torch.nn.functional.layer_norm( + hidden_states_47, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_ = (None) + linear_36 = torch._C._nn.linear( + layer_norm_12, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_18 = linear_36.view(1, -1, 12, 64) + linear_36 = None + key_layer_6 = view_18.transpose(1, 2) + view_18 = None + linear_37 = torch._C._nn.linear( + layer_norm_12, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_19 = linear_37.view(1, -1, 12, 64) + linear_37 = None + value_layer_6 = view_19.transpose(1, 2) + view_19 = None + linear_38 = torch._C._nn.linear( + layer_norm_12, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_12 = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_20 = linear_38.view(1, -1, 12, 64) + linear_38 = None + query_layer_6 = view_20.transpose(1, 2) + view_20 = None + query_6 = query_layer_6.contiguous() + query_layer_6 = None + key_6 = key_layer_6.contiguous() + key_layer_6 = None + value_6 = value_layer_6.contiguous() + value_layer_6 = None + attn_output_12 = torch._C._nn.scaled_dot_product_attention( + query_6, + key_6, + value_6, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_6 = key_6 = value_6 = None + transpose_28 = attn_output_12.transpose(1, 2) + attn_output_12 = None + attn_output_13 = transpose_28.contiguous() + transpose_28 = None + context_layer_6 = attn_output_13.reshape((1, 197, 768)) + attn_output_13 = None + hidden_states_48 = torch._C._nn.linear( + context_layer_6, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_6 = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_49 = torch.nn.functional.dropout( + hidden_states_48, 0.0, False, False + ) + hidden_states_48 = None + hidden_states_50 = hidden_states_49 + hidden_states_47 + hidden_states_49 = hidden_states_47 = None + layer_output_6 = torch.nn.functional.layer_norm( + hidden_states_50, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_51 = torch._C._nn.linear( + layer_output_6, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_6 = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_52 = torch._C._nn.gelu(hidden_states_51) + hidden_states_51 = None + hidden_states_53 = torch._C._nn.linear( + hidden_states_52, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_52 = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_54 = torch.nn.functional.dropout( + hidden_states_53, 0.0, False, False + ) + hidden_states_53 = None + hidden_states_55 = hidden_states_54 + hidden_states_50 + hidden_states_54 = hidden_states_50 = None + layer_norm_14 = torch.nn.functional.layer_norm( + hidden_states_55, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_ = (None) + linear_42 = torch._C._nn.linear( + layer_norm_14, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_21 = linear_42.view(1, -1, 12, 64) + linear_42 = None + key_layer_7 = view_21.transpose(1, 2) + view_21 = None + linear_43 = torch._C._nn.linear( + layer_norm_14, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_22 = linear_43.view(1, -1, 12, 64) + linear_43 = None + value_layer_7 = view_22.transpose(1, 2) + view_22 = None + linear_44 = torch._C._nn.linear( + layer_norm_14, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_14 = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_23 = linear_44.view(1, -1, 12, 64) + linear_44 = None + query_layer_7 = view_23.transpose(1, 2) + view_23 = None + query_7 = query_layer_7.contiguous() + query_layer_7 = None + key_7 = key_layer_7.contiguous() + key_layer_7 = None + value_7 = value_layer_7.contiguous() + value_layer_7 = None + attn_output_14 = torch._C._nn.scaled_dot_product_attention( + query_7, + key_7, + value_7, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_7 = key_7 = value_7 = None + transpose_32 = attn_output_14.transpose(1, 2) + attn_output_14 = None + attn_output_15 = transpose_32.contiguous() + transpose_32 = None + context_layer_7 = attn_output_15.reshape((1, 197, 768)) + attn_output_15 = None + hidden_states_56 = torch._C._nn.linear( + context_layer_7, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_7 = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_57 = torch.nn.functional.dropout( + hidden_states_56, 0.0, False, False + ) + hidden_states_56 = None + hidden_states_58 = hidden_states_57 + hidden_states_55 + hidden_states_57 = hidden_states_55 = None + layer_output_7 = torch.nn.functional.layer_norm( + hidden_states_58, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_59 = torch._C._nn.linear( + layer_output_7, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_7 = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_60 = torch._C._nn.gelu(hidden_states_59) + hidden_states_59 = None + hidden_states_61 = torch._C._nn.linear( + hidden_states_60, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_60 = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_62 = torch.nn.functional.dropout( + hidden_states_61, 0.0, False, False + ) + hidden_states_61 = None + hidden_states_63 = hidden_states_62 + hidden_states_58 + hidden_states_62 = hidden_states_58 = None + layer_norm_16 = torch.nn.functional.layer_norm( + hidden_states_63, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_ = (None) + linear_48 = torch._C._nn.linear( + layer_norm_16, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_24 = linear_48.view(1, -1, 12, 64) + linear_48 = None + key_layer_8 = view_24.transpose(1, 2) + view_24 = None + linear_49 = torch._C._nn.linear( + layer_norm_16, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_25 = linear_49.view(1, -1, 12, 64) + linear_49 = None + value_layer_8 = view_25.transpose(1, 2) + view_25 = None + linear_50 = torch._C._nn.linear( + layer_norm_16, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_16 = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_26 = linear_50.view(1, -1, 12, 64) + linear_50 = None + query_layer_8 = view_26.transpose(1, 2) + view_26 = None + query_8 = query_layer_8.contiguous() + query_layer_8 = None + key_8 = key_layer_8.contiguous() + key_layer_8 = None + value_8 = value_layer_8.contiguous() + value_layer_8 = None + attn_output_16 = torch._C._nn.scaled_dot_product_attention( + query_8, + key_8, + value_8, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_8 = key_8 = value_8 = None + transpose_36 = attn_output_16.transpose(1, 2) + attn_output_16 = None + attn_output_17 = transpose_36.contiguous() + transpose_36 = None + context_layer_8 = attn_output_17.reshape((1, 197, 768)) + attn_output_17 = None + hidden_states_64 = torch._C._nn.linear( + context_layer_8, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_8 = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_65 = torch.nn.functional.dropout( + hidden_states_64, 0.0, False, False + ) + hidden_states_64 = None + hidden_states_66 = hidden_states_65 + hidden_states_63 + hidden_states_65 = hidden_states_63 = None + layer_output_8 = torch.nn.functional.layer_norm( + hidden_states_66, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_67 = torch._C._nn.linear( + layer_output_8, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_8 = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_68 = torch._C._nn.gelu(hidden_states_67) + hidden_states_67 = None + hidden_states_69 = torch._C._nn.linear( + hidden_states_68, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_68 = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_70 = torch.nn.functional.dropout( + hidden_states_69, 0.0, False, False + ) + hidden_states_69 = None + hidden_states_71 = hidden_states_70 + hidden_states_66 + hidden_states_70 = hidden_states_66 = None + layer_norm_18 = torch.nn.functional.layer_norm( + hidden_states_71, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_ = (None) + linear_54 = torch._C._nn.linear( + layer_norm_18, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_27 = linear_54.view(1, -1, 12, 64) + linear_54 = None + key_layer_9 = view_27.transpose(1, 2) + view_27 = None + linear_55 = torch._C._nn.linear( + layer_norm_18, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_28 = linear_55.view(1, -1, 12, 64) + linear_55 = None + value_layer_9 = view_28.transpose(1, 2) + view_28 = None + linear_56 = torch._C._nn.linear( + layer_norm_18, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_18 = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_29 = linear_56.view(1, -1, 12, 64) + linear_56 = None + query_layer_9 = view_29.transpose(1, 2) + view_29 = None + query_9 = query_layer_9.contiguous() + query_layer_9 = None + key_9 = key_layer_9.contiguous() + key_layer_9 = None + value_9 = value_layer_9.contiguous() + value_layer_9 = None + attn_output_18 = torch._C._nn.scaled_dot_product_attention( + query_9, + key_9, + value_9, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_9 = key_9 = value_9 = None + transpose_40 = attn_output_18.transpose(1, 2) + attn_output_18 = None + attn_output_19 = transpose_40.contiguous() + transpose_40 = None + context_layer_9 = attn_output_19.reshape((1, 197, 768)) + attn_output_19 = None + hidden_states_72 = torch._C._nn.linear( + context_layer_9, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_9 = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_73 = torch.nn.functional.dropout( + hidden_states_72, 0.0, False, False + ) + hidden_states_72 = None + hidden_states_74 = hidden_states_73 + hidden_states_71 + hidden_states_73 = hidden_states_71 = None + layer_output_9 = torch.nn.functional.layer_norm( + hidden_states_74, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_75 = torch._C._nn.linear( + layer_output_9, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_9 = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_76 = torch._C._nn.gelu(hidden_states_75) + hidden_states_75 = None + hidden_states_77 = torch._C._nn.linear( + hidden_states_76, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_76 = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_78 = torch.nn.functional.dropout( + hidden_states_77, 0.0, False, False + ) + hidden_states_77 = None + hidden_states_79 = hidden_states_78 + hidden_states_74 + hidden_states_78 = hidden_states_74 = None + layer_norm_20 = torch.nn.functional.layer_norm( + hidden_states_79, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_ = (None) + linear_60 = torch._C._nn.linear( + layer_norm_20, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_30 = linear_60.view(1, -1, 12, 64) + linear_60 = None + key_layer_10 = view_30.transpose(1, 2) + view_30 = None + linear_61 = torch._C._nn.linear( + layer_norm_20, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_31 = linear_61.view(1, -1, 12, 64) + linear_61 = None + value_layer_10 = view_31.transpose(1, 2) + view_31 = None + linear_62 = torch._C._nn.linear( + layer_norm_20, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_20 = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_32 = linear_62.view(1, -1, 12, 64) + linear_62 = None + query_layer_10 = view_32.transpose(1, 2) + view_32 = None + query_10 = query_layer_10.contiguous() + query_layer_10 = None + key_10 = key_layer_10.contiguous() + key_layer_10 = None + value_10 = value_layer_10.contiguous() + value_layer_10 = None + attn_output_20 = torch._C._nn.scaled_dot_product_attention( + query_10, + key_10, + value_10, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_10 = key_10 = value_10 = None + transpose_44 = attn_output_20.transpose(1, 2) + attn_output_20 = None + attn_output_21 = transpose_44.contiguous() + transpose_44 = None + context_layer_10 = attn_output_21.reshape((1, 197, 768)) + attn_output_21 = None + hidden_states_80 = torch._C._nn.linear( + context_layer_10, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_10 = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_81 = torch.nn.functional.dropout( + hidden_states_80, 0.0, False, False + ) + hidden_states_80 = None + hidden_states_82 = hidden_states_81 + hidden_states_79 + hidden_states_81 = hidden_states_79 = None + layer_output_10 = torch.nn.functional.layer_norm( + hidden_states_82, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_83 = torch._C._nn.linear( + layer_output_10, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_10 = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_84 = torch._C._nn.gelu(hidden_states_83) + hidden_states_83 = None + hidden_states_85 = torch._C._nn.linear( + hidden_states_84, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_84 = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_86 = torch.nn.functional.dropout( + hidden_states_85, 0.0, False, False + ) + hidden_states_85 = None + hidden_states_87 = hidden_states_86 + hidden_states_82 + hidden_states_86 = hidden_states_82 = None + layer_norm_22 = torch.nn.functional.layer_norm( + hidden_states_87, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_ = (None) + linear_66 = torch._C._nn.linear( + layer_norm_22, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_ = (None) + view_33 = linear_66.view(1, -1, 12, 64) + linear_66 = None + key_layer_11 = view_33.transpose(1, 2) + view_33 = None + linear_67 = torch._C._nn.linear( + layer_norm_22, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_ = (None) + view_34 = linear_67.view(1, -1, 12, 64) + linear_67 = None + value_layer_11 = view_34.transpose(1, 2) + view_34 = None + linear_68 = torch._C._nn.linear( + layer_norm_22, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_, + ) + layer_norm_22 = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_ = (None) + view_35 = linear_68.view(1, -1, 12, 64) + linear_68 = None + query_layer_11 = view_35.transpose(1, 2) + view_35 = None + query_11 = query_layer_11.contiguous() + query_layer_11 = None + key_11 = key_layer_11.contiguous() + key_layer_11 = None + value_11 = value_layer_11.contiguous() + value_layer_11 = None + attn_output_22 = torch._C._nn.scaled_dot_product_attention( + query_11, + key_11, + value_11, + attn_mask=None, + dropout_p=0.0, + scale=0.125, + is_causal=False, + ) + query_11 = key_11 = value_11 = None + transpose_48 = attn_output_22.transpose(1, 2) + attn_output_22 = None + attn_output_23 = transpose_48.contiguous() + transpose_48 = None + context_layer_11 = attn_output_23.reshape((1, 197, 768)) + attn_output_23 = None + hidden_states_88 = torch._C._nn.linear( + context_layer_11, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_, + ) + context_layer_11 = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_89 = torch.nn.functional.dropout( + hidden_states_88, 0.0, False, False + ) + hidden_states_88 = None + hidden_states_90 = hidden_states_89 + hidden_states_87 + hidden_states_89 = hidden_states_87 = None + layer_output_11 = torch.nn.functional.layer_norm( + hidden_states_90, + (768,), + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_, + 1e-12, + ) + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_ = (None) + hidden_states_91 = torch._C._nn.linear( + layer_output_11, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_, + ) + layer_output_11 = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_ = (None) + hidden_states_92 = torch._C._nn.gelu(hidden_states_91) + hidden_states_91 = None + hidden_states_93 = torch._C._nn.linear( + hidden_states_92, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_, + l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_, + ) + hidden_states_92 = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_ = l_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_ = (None) + hidden_states_94 = torch.nn.functional.dropout( + hidden_states_93, 0.0, False, False + ) + hidden_states_93 = None + hidden_states_95 = hidden_states_94 + hidden_states_90 + hidden_states_94 = hidden_states_90 = None + sequence_output = torch.nn.functional.layer_norm( + hidden_states_95, + (768,), + l_self_modules_vit_modules_layernorm_parameters_weight_, + l_self_modules_vit_modules_layernorm_parameters_bias_, + 1e-12, + ) + hidden_states_95 = ( + l_self_modules_vit_modules_layernorm_parameters_weight_ + ) = l_self_modules_vit_modules_layernorm_parameters_bias_ = None + getitem_8 = sequence_output[ + (slice(None, None, None), 0, slice(None, None, None)) + ] + sequence_output = None + logits = torch._C._nn.linear( + getitem_8, + l_self_modules_classifier_parameters_weight_, + l_self_modules_classifier_parameters_bias_, + ) + getitem_8 = ( + l_self_modules_classifier_parameters_weight_ + ) = l_self_modules_classifier_parameters_bias_ = None + return (logits,) diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/weight_meta.py b/samples/transformers-auto-model/google_vit-base-patch16-224/weight_meta.py new file mode 100644 index 0000000000..6ba9f808a1 --- /dev/null +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/weight_meta.py @@ -0,0 +1,2018 @@ +class Program_weight_tensor_meta_L_pixel_values_: + name = "L_pixel_values_" + shape = [1, 3, 224, 224] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.577 + data = None + + +class Program_weight_tensor_meta_object_getattribute_L_self_config_num_hidden_layers_: + name = "object_getattribute_L_self_config_num_hidden_layers_" + shape = [] + dtype = "torch.int64" + device = "cpu" + mean = None + std = None + data = [4] + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_: + name = "L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_weight_" + shape = [768, 3, 16, 16] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_: + name = "L_self_modules_vit_modules_embeddings_modules_patch_embeddings_modules_projection_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.007 + std = 0.193 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_embeddings_parameters_cls_token_: + name = "L_self_modules_vit_modules_embeddings_parameters_cls_token_" + shape = [1, 1, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.093 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_embeddings_parameters_position_embeddings_: + name = "L_self_modules_vit_modules_embeddings_parameters_position_embeddings_" + shape = [1, 197, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.144 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.129 + std = 0.041 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.014 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.127 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.076 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.050 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.019 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.128 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.243 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.073 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.238 + std = 0.113 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.026 + std = 0.082 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.004 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.073 + std = 0.052 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.050 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_0_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.050 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.174 + std = 0.066 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.006 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.100 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.069 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.055 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.019 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.102 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.007 + std = 0.260 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.055 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.258 + std = 0.058 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.009 + std = 0.075 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.070 + std = 0.036 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.055 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_1_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.230 + std = 0.062 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.089 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.075 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.065 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.090 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.195 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.064 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.279 + std = 0.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.005 + std = 0.076 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.065 + std = 0.033 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.055 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_2_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.036 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.257 + std = 0.056 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.069 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.070 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.175 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.068 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.027 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.319 + std = 0.042 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.075 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.078 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.060 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_3_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.039 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.278 + std = 0.055 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.066 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.072 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.034 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.171 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.070 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.029 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.342 + std = 0.035 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.078 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.067 + std = 0.032 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.066 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_4_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.047 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.297 + std = 0.045 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.067 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.072 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.038 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.083 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.167 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.071 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.375 + std = 0.036 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.028 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.073 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_5_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.317 + std = 0.040 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.038 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.082 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.066 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.073 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.039 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.081 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.006 + std = 0.162 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.073 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.036 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.411 + std = 0.037 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.078 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_6_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.057 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.356 + std = 0.039 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 0.045 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.061 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.076 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.038 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.141 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.075 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.049 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.468 + std = 0.046 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.084 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.065 + std = 0.025 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.085 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_7_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.065 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.395 + std = 0.038 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 0.050 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.065 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.077 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.036 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.005 + std = 0.129 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.076 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.081 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.593 + std = 0.058 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.097 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.062 + std = 0.026 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.093 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_8_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.099 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.449 + std = 0.041 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.009 + std = 0.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.058 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.080 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.027 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 0.133 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.079 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.119 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.029 + std = 0.098 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.159 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.085 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.060 + std = 0.029 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.104 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_9_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.003 + std = 0.101 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.529 + std = 0.047 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.014 + std = 0.062 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.078 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.059 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.085 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.032 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.078 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.104 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.085 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.123 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.822 + std = 0.149 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.012 + std = 0.306 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.095 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.063 + std = 0.049 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.133 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_10_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.002 + std = 0.168 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.699 + std = 0.067 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_before_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.012 + std = 0.131 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.063 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_key_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.063 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.115 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_value_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.059 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.063 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_attention_modules_query_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.098 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_weight_" + shape = [768, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.116 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_attention_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.005 + std = 0.113 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.091 + std = 0.091 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_layernorm_after_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.066 + std = 0.211 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_weight_" + shape = [3072, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 0.088 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_intermediate_modules_dense_parameters_bias_" + shape = [3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.088 + std = 0.048 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_weight_" + shape = [768, 3072] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.121 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_: + name = "L_self_modules_vit_modules_encoder_modules_layer_modules_11_modules_output_modules_dense_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.359 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_layernorm_parameters_weight_: + name = "L_self_modules_vit_modules_layernorm_parameters_weight_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.915 + std = 0.120 + data = None + + +class Program_weight_tensor_meta_L_self_modules_vit_modules_layernorm_parameters_bias_: + name = "L_self_modules_vit_modules_layernorm_parameters_bias_" + shape = [768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.019 + std = 0.039 + data = None + + +class Program_weight_tensor_meta_L_self_modules_classifier_parameters_weight_: + name = "L_self_modules_classifier_parameters_weight_" + shape = [1000, 768] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.030 + data = None + + +class Program_weight_tensor_meta_L_self_modules_classifier_parameters_bias_: + name = "L_self_modules_classifier_parameters_bias_" + shape = [1000] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.017 + data = None diff --git a/samples/transformers-auto-model/microsoft_resnet-50/graph_hash.txt b/samples/transformers-auto-model/microsoft_resnet-50/graph_hash.txt new file mode 100644 index 0000000000..9201ede586 --- /dev/null +++ b/samples/transformers-auto-model/microsoft_resnet-50/graph_hash.txt @@ -0,0 +1 @@ +c05f6c016eaefabe6f35278d0beaa25f6f3ab32601149736ec2370f368d02566 \ No newline at end of file diff --git a/samples/transformers-auto-model/microsoft_resnet-50/graph_net.json b/samples/transformers-auto-model/microsoft_resnet-50/graph_net.json new file mode 100644 index 0000000000..1373fe3b58 --- /dev/null +++ b/samples/transformers-auto-model/microsoft_resnet-50/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/transformers-auto-model/microsoft_resnet-50/input_meta.py b/samples/transformers-auto-model/microsoft_resnet-50/input_meta.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/samples/transformers-auto-model/microsoft_resnet-50/input_tensor_constraints.py b/samples/transformers-auto-model/microsoft_resnet-50/input_tensor_constraints.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/samples/transformers-auto-model/microsoft_resnet-50/model.py b/samples/transformers-auto-model/microsoft_resnet-50/model.py new file mode 100644 index 0000000000..6c345f9519 --- /dev/null +++ b/samples/transformers-auto-model/microsoft_resnet-50/model.py @@ -0,0 +1,1858 @@ +import torch + + +class GraphModule(torch.nn.Module): + def forward( + self, + s1: torch.SymInt, + L_pixel_values_: torch.Tensor, + L_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: torch.Tensor, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: torch.nn.parameter.Parameter, + L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_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_pixel_values_ = L_pixel_values_ + l_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_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_ + ) + hidden_state = torch.conv2d( + l_pixel_values_, + l_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_, + None, + (2, 2), + (3, 3), + (1, 1), + 1, + ) + l_pixel_values_ = l_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_ = (None) + hidden_state_1 = torch.nn.functional.batch_norm( + hidden_state, + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state = l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_ = (None) + hidden_state_2 = torch.nn.functional.relu(hidden_state_1, inplace=False) + hidden_state_1 = None + embedding = torch.nn.functional.max_pool2d( + hidden_state_2, 3, 2, 1, 1, ceil_mode=False, return_indices=False + ) + hidden_state_2 = None + hidden_state_3 = torch.conv2d( + embedding, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_4 = torch.nn.functional.batch_norm( + hidden_state_3, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_3 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_5 = torch.nn.functional.relu(hidden_state_4, inplace=False) + hidden_state_4 = None + hidden_state_6 = torch.conv2d( + hidden_state_5, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_5 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_7 = torch.nn.functional.batch_norm( + hidden_state_6, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_6 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_8 = torch.nn.functional.relu(hidden_state_7, inplace=False) + hidden_state_7 = None + hidden_state_9 = torch.conv2d( + hidden_state_8, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_8 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_10 = torch.nn.functional.batch_norm( + hidden_state_9, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_9 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_11 = torch.conv2d( + embedding, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + embedding = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = (None) + hidden_state_12 = torch.nn.functional.batch_norm( + hidden_state_11, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_11 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = (None) + hidden_state_10 += hidden_state_12 + hidden_state_13 = hidden_state_10 + hidden_state_10 = hidden_state_12 = None + hidden_state_14 = torch.nn.functional.relu(hidden_state_13, inplace=False) + hidden_state_13 = None + hidden_state_15 = torch.conv2d( + hidden_state_14, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_16 = torch.nn.functional.batch_norm( + hidden_state_15, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_15 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_17 = torch.nn.functional.relu(hidden_state_16, inplace=False) + hidden_state_16 = None + hidden_state_18 = torch.conv2d( + hidden_state_17, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_17 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_19 = torch.nn.functional.batch_norm( + hidden_state_18, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_18 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_20 = torch.nn.functional.relu(hidden_state_19, inplace=False) + hidden_state_19 = None + hidden_state_21 = torch.conv2d( + hidden_state_20, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_20 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_22 = torch.nn.functional.batch_norm( + hidden_state_21, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_21 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_22 += hidden_state_14 + hidden_state_23 = hidden_state_22 + hidden_state_22 = hidden_state_14 = None + hidden_state_24 = torch.nn.functional.relu(hidden_state_23, inplace=False) + hidden_state_23 = None + hidden_state_25 = torch.conv2d( + hidden_state_24, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_26 = torch.nn.functional.batch_norm( + hidden_state_25, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_25 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_27 = torch.nn.functional.relu(hidden_state_26, inplace=False) + hidden_state_26 = None + hidden_state_28 = torch.conv2d( + hidden_state_27, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_27 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_29 = torch.nn.functional.batch_norm( + hidden_state_28, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_28 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_30 = torch.nn.functional.relu(hidden_state_29, inplace=False) + hidden_state_29 = None + hidden_state_31 = torch.conv2d( + hidden_state_30, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_30 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_32 = torch.nn.functional.batch_norm( + hidden_state_31, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_31 = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_32 += hidden_state_24 + hidden_state_33 = hidden_state_32 + hidden_state_32 = hidden_state_24 = None + hidden_state_34 = torch.nn.functional.relu(hidden_state_33, inplace=False) + hidden_state_33 = None + hidden_state_35 = torch.conv2d( + hidden_state_34, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_36 = torch.nn.functional.batch_norm( + hidden_state_35, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_35 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_37 = torch.nn.functional.relu(hidden_state_36, inplace=False) + hidden_state_36 = None + hidden_state_38 = torch.conv2d( + hidden_state_37, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (2, 2), + (1, 1), + (1, 1), + 1, + ) + hidden_state_37 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_39 = torch.nn.functional.batch_norm( + hidden_state_38, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_38 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_40 = torch.nn.functional.relu(hidden_state_39, inplace=False) + hidden_state_39 = None + hidden_state_41 = torch.conv2d( + hidden_state_40, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_40 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_42 = torch.nn.functional.batch_norm( + hidden_state_41, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_41 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_43 = torch.conv2d( + hidden_state_34, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_, + None, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + hidden_state_34 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = (None) + hidden_state_44 = torch.nn.functional.batch_norm( + hidden_state_43, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_43 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = (None) + hidden_state_42 += hidden_state_44 + hidden_state_45 = hidden_state_42 + hidden_state_42 = hidden_state_44 = None + hidden_state_46 = torch.nn.functional.relu(hidden_state_45, inplace=False) + hidden_state_45 = None + hidden_state_47 = torch.conv2d( + hidden_state_46, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_48 = torch.nn.functional.batch_norm( + hidden_state_47, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_47 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_49 = torch.nn.functional.relu(hidden_state_48, inplace=False) + hidden_state_48 = None + hidden_state_50 = torch.conv2d( + hidden_state_49, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_49 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_51 = torch.nn.functional.batch_norm( + hidden_state_50, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_50 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_52 = torch.nn.functional.relu(hidden_state_51, inplace=False) + hidden_state_51 = None + hidden_state_53 = torch.conv2d( + hidden_state_52, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_52 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_54 = torch.nn.functional.batch_norm( + hidden_state_53, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_53 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_54 += hidden_state_46 + hidden_state_55 = hidden_state_54 + hidden_state_54 = hidden_state_46 = None + hidden_state_56 = torch.nn.functional.relu(hidden_state_55, inplace=False) + hidden_state_55 = None + hidden_state_57 = torch.conv2d( + hidden_state_56, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_58 = torch.nn.functional.batch_norm( + hidden_state_57, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_57 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_59 = torch.nn.functional.relu(hidden_state_58, inplace=False) + hidden_state_58 = None + hidden_state_60 = torch.conv2d( + hidden_state_59, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_59 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_61 = torch.nn.functional.batch_norm( + hidden_state_60, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_60 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_62 = torch.nn.functional.relu(hidden_state_61, inplace=False) + hidden_state_61 = None + hidden_state_63 = torch.conv2d( + hidden_state_62, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_62 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_64 = torch.nn.functional.batch_norm( + hidden_state_63, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_63 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_64 += hidden_state_56 + hidden_state_65 = hidden_state_64 + hidden_state_64 = hidden_state_56 = None + hidden_state_66 = torch.nn.functional.relu(hidden_state_65, inplace=False) + hidden_state_65 = None + hidden_state_67 = torch.conv2d( + hidden_state_66, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_68 = torch.nn.functional.batch_norm( + hidden_state_67, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_67 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_69 = torch.nn.functional.relu(hidden_state_68, inplace=False) + hidden_state_68 = None + hidden_state_70 = torch.conv2d( + hidden_state_69, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_69 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_71 = torch.nn.functional.batch_norm( + hidden_state_70, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_70 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_72 = torch.nn.functional.relu(hidden_state_71, inplace=False) + hidden_state_71 = None + hidden_state_73 = torch.conv2d( + hidden_state_72, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_72 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_74 = torch.nn.functional.batch_norm( + hidden_state_73, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_73 = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_74 += hidden_state_66 + hidden_state_75 = hidden_state_74 + hidden_state_74 = hidden_state_66 = None + hidden_state_76 = torch.nn.functional.relu(hidden_state_75, inplace=False) + hidden_state_75 = None + hidden_state_77 = torch.conv2d( + hidden_state_76, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_78 = torch.nn.functional.batch_norm( + hidden_state_77, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_77 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_79 = torch.nn.functional.relu(hidden_state_78, inplace=False) + hidden_state_78 = None + hidden_state_80 = torch.conv2d( + hidden_state_79, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (2, 2), + (1, 1), + (1, 1), + 1, + ) + hidden_state_79 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_81 = torch.nn.functional.batch_norm( + hidden_state_80, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_80 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_82 = torch.nn.functional.relu(hidden_state_81, inplace=False) + hidden_state_81 = None + hidden_state_83 = torch.conv2d( + hidden_state_82, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_82 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_84 = torch.nn.functional.batch_norm( + hidden_state_83, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_83 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_85 = torch.conv2d( + hidden_state_76, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_, + None, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + hidden_state_76 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = (None) + hidden_state_86 = torch.nn.functional.batch_norm( + hidden_state_85, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_85 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = (None) + hidden_state_84 += hidden_state_86 + hidden_state_87 = hidden_state_84 + hidden_state_84 = hidden_state_86 = None + hidden_state_88 = torch.nn.functional.relu(hidden_state_87, inplace=False) + hidden_state_87 = None + hidden_state_89 = torch.conv2d( + hidden_state_88, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_90 = torch.nn.functional.batch_norm( + hidden_state_89, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_89 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_91 = torch.nn.functional.relu(hidden_state_90, inplace=False) + hidden_state_90 = None + hidden_state_92 = torch.conv2d( + hidden_state_91, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_91 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_93 = torch.nn.functional.batch_norm( + hidden_state_92, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_92 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_94 = torch.nn.functional.relu(hidden_state_93, inplace=False) + hidden_state_93 = None + hidden_state_95 = torch.conv2d( + hidden_state_94, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_94 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_96 = torch.nn.functional.batch_norm( + hidden_state_95, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_95 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_96 += hidden_state_88 + hidden_state_97 = hidden_state_96 + hidden_state_96 = hidden_state_88 = None + hidden_state_98 = torch.nn.functional.relu(hidden_state_97, inplace=False) + hidden_state_97 = None + hidden_state_99 = torch.conv2d( + hidden_state_98, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_100 = torch.nn.functional.batch_norm( + hidden_state_99, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_99 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_101 = torch.nn.functional.relu(hidden_state_100, inplace=False) + hidden_state_100 = None + hidden_state_102 = torch.conv2d( + hidden_state_101, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_101 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_103 = torch.nn.functional.batch_norm( + hidden_state_102, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_102 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_104 = torch.nn.functional.relu(hidden_state_103, inplace=False) + hidden_state_103 = None + hidden_state_105 = torch.conv2d( + hidden_state_104, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_104 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_106 = torch.nn.functional.batch_norm( + hidden_state_105, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_105 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_106 += hidden_state_98 + hidden_state_107 = hidden_state_106 + hidden_state_106 = hidden_state_98 = None + hidden_state_108 = torch.nn.functional.relu(hidden_state_107, inplace=False) + hidden_state_107 = None + hidden_state_109 = torch.conv2d( + hidden_state_108, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_110 = torch.nn.functional.batch_norm( + hidden_state_109, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_109 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_111 = torch.nn.functional.relu(hidden_state_110, inplace=False) + hidden_state_110 = None + hidden_state_112 = torch.conv2d( + hidden_state_111, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_111 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_113 = torch.nn.functional.batch_norm( + hidden_state_112, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_112 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_114 = torch.nn.functional.relu(hidden_state_113, inplace=False) + hidden_state_113 = None + hidden_state_115 = torch.conv2d( + hidden_state_114, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_114 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_116 = torch.nn.functional.batch_norm( + hidden_state_115, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_115 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_116 += hidden_state_108 + hidden_state_117 = hidden_state_116 + hidden_state_116 = hidden_state_108 = None + hidden_state_118 = torch.nn.functional.relu(hidden_state_117, inplace=False) + hidden_state_117 = None + hidden_state_119 = torch.conv2d( + hidden_state_118, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_120 = torch.nn.functional.batch_norm( + hidden_state_119, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_119 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_121 = torch.nn.functional.relu(hidden_state_120, inplace=False) + hidden_state_120 = None + hidden_state_122 = torch.conv2d( + hidden_state_121, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_121 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_123 = torch.nn.functional.batch_norm( + hidden_state_122, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_122 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_124 = torch.nn.functional.relu(hidden_state_123, inplace=False) + hidden_state_123 = None + hidden_state_125 = torch.conv2d( + hidden_state_124, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_124 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_126 = torch.nn.functional.batch_norm( + hidden_state_125, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_125 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_126 += hidden_state_118 + hidden_state_127 = hidden_state_126 + hidden_state_126 = hidden_state_118 = None + hidden_state_128 = torch.nn.functional.relu(hidden_state_127, inplace=False) + hidden_state_127 = None + hidden_state_129 = torch.conv2d( + hidden_state_128, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_130 = torch.nn.functional.batch_norm( + hidden_state_129, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_129 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_131 = torch.nn.functional.relu(hidden_state_130, inplace=False) + hidden_state_130 = None + hidden_state_132 = torch.conv2d( + hidden_state_131, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_131 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_133 = torch.nn.functional.batch_norm( + hidden_state_132, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_132 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_134 = torch.nn.functional.relu(hidden_state_133, inplace=False) + hidden_state_133 = None + hidden_state_135 = torch.conv2d( + hidden_state_134, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_134 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_136 = torch.nn.functional.batch_norm( + hidden_state_135, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_135 = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_136 += hidden_state_128 + hidden_state_137 = hidden_state_136 + hidden_state_136 = hidden_state_128 = None + hidden_state_138 = torch.nn.functional.relu(hidden_state_137, inplace=False) + hidden_state_137 = None + hidden_state_139 = torch.conv2d( + hidden_state_138, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_140 = torch.nn.functional.batch_norm( + hidden_state_139, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_139 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_141 = torch.nn.functional.relu(hidden_state_140, inplace=False) + hidden_state_140 = None + hidden_state_142 = torch.conv2d( + hidden_state_141, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (2, 2), + (1, 1), + (1, 1), + 1, + ) + hidden_state_141 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_143 = torch.nn.functional.batch_norm( + hidden_state_142, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_142 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_144 = torch.nn.functional.relu(hidden_state_143, inplace=False) + hidden_state_143 = None + hidden_state_145 = torch.conv2d( + hidden_state_144, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_144 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_146 = torch.nn.functional.batch_norm( + hidden_state_145, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_145 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_147 = torch.conv2d( + hidden_state_138, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_, + None, + (2, 2), + (0, 0), + (1, 1), + 1, + ) + hidden_state_138 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_ = (None) + hidden_state_148 = torch.nn.functional.batch_norm( + hidden_state_147, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_147 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_ = (None) + hidden_state_146 += hidden_state_148 + hidden_state_149 = hidden_state_146 + hidden_state_146 = hidden_state_148 = None + hidden_state_150 = torch.nn.functional.relu(hidden_state_149, inplace=False) + hidden_state_149 = None + hidden_state_151 = torch.conv2d( + hidden_state_150, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_152 = torch.nn.functional.batch_norm( + hidden_state_151, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_151 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_153 = torch.nn.functional.relu(hidden_state_152, inplace=False) + hidden_state_152 = None + hidden_state_154 = torch.conv2d( + hidden_state_153, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_153 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_155 = torch.nn.functional.batch_norm( + hidden_state_154, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_154 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_156 = torch.nn.functional.relu(hidden_state_155, inplace=False) + hidden_state_155 = None + hidden_state_157 = torch.conv2d( + hidden_state_156, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_156 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_158 = torch.nn.functional.batch_norm( + hidden_state_157, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_157 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_158 += hidden_state_150 + hidden_state_159 = hidden_state_158 + hidden_state_158 = hidden_state_150 = None + hidden_state_160 = torch.nn.functional.relu(hidden_state_159, inplace=False) + hidden_state_159 = None + hidden_state_161 = torch.conv2d( + hidden_state_160, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_ = ( + None + ) + hidden_state_162 = torch.nn.functional.batch_norm( + hidden_state_161, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_161 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_ = (None) + hidden_state_163 = torch.nn.functional.relu(hidden_state_162, inplace=False) + hidden_state_162 = None + hidden_state_164 = torch.conv2d( + hidden_state_163, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_, + None, + (1, 1), + (1, 1), + (1, 1), + 1, + ) + hidden_state_163 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_ = (None) + hidden_state_165 = torch.nn.functional.batch_norm( + hidden_state_164, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_164 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_ = (None) + hidden_state_166 = torch.nn.functional.relu(hidden_state_165, inplace=False) + hidden_state_165 = None + hidden_state_167 = torch.conv2d( + hidden_state_166, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_, + None, + (1, 1), + (0, 0), + (1, 1), + 1, + ) + hidden_state_166 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_ = (None) + hidden_state_168 = torch.nn.functional.batch_norm( + hidden_state_167, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_, + l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_, + False, + 0.1, + 1e-05, + ) + hidden_state_167 = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_ = l_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_ = (None) + hidden_state_168 += hidden_state_160 + hidden_state_169 = hidden_state_168 + hidden_state_168 = hidden_state_160 = None + hidden_state_170 = torch.nn.functional.relu(hidden_state_169, inplace=False) + hidden_state_169 = None + pooled_output = torch.nn.functional.adaptive_avg_pool2d( + hidden_state_170, (1, 1) + ) + hidden_state_170 = None + input_1 = pooled_output.flatten(1, -1) + pooled_output = None + input_2 = torch._C._nn.linear( + input_1, + l_self_modules_classifier_modules_1_parameters_weight_, + l_self_modules_classifier_modules_1_parameters_bias_, + ) + input_1 = ( + l_self_modules_classifier_modules_1_parameters_weight_ + ) = l_self_modules_classifier_modules_1_parameters_bias_ = None + return (input_2,) diff --git a/samples/transformers-auto-model/microsoft_resnet-50/weight_meta.py b/samples/transformers-auto-model/microsoft_resnet-50/weight_meta.py new file mode 100644 index 0000000000..4ecfa33e3a --- /dev/null +++ b/samples/transformers-auto-model/microsoft_resnet-50/weight_meta.py @@ -0,0 +1,2688 @@ +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_pixel_values_: + name = "L_pixel_values_" + shape = [1, 3, 224, 224] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.218 + std = 1.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_embedder_modules_embedder_modules_convolution_parameters_weight_" + shape = [64, 3, 7, 7] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.249 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.003 + std = 0.099 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 35.427 + std = 131.161 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.259 + std = 1.803 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_embedder_modules_embedder_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 3.082 + std = 5.320 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [64, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.012 + std = 0.310 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.449 + std = 17.304 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 24.711 + std = 66.015 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.847 + std = 1.020 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.288 + std = 2.353 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.193 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.210 + std = 8.996 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 52.719 + std = 102.186 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.830 + std = 1.532 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.118 + std = 4.862 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.184 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.670 + std = 17.396 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 55.048 + std = 93.376 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.093 + std = 2.082 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.179 + std = 0.763 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.016 + std = 0.247 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.838 + std = 13.070 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 49.278 + std = 60.364 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.096 + std = 1.126 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.179 + std = 0.763 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [64, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.006 + std = 0.232 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.493 + std = 3.586 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 10.392 + std = 6.136 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.907 + std = 0.539 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.362 + std = 1.011 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.004 + std = 0.242 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.801 + std = 4.204 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 11.793 + std = 11.505 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.345 + std = 0.560 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.418 + std = 2.860 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.004 + std = 0.244 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.089 + std = 4.206 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.613 + std = 1.134 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.070 + std = 0.594 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.228 + std = 0.910 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [64, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.014 + std = 0.265 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.092 + std = 3.218 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 8.356 + std = 3.155 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.757 + std = 0.433 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.322 + std = 2.203 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [64, 64, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.006 + std = 0.247 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.802 + std = 5.252 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 56.603 + std = 16.713 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.869 + std = 0.762 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [64] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.459 + std = 3.139 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [256, 64, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.237 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.483 + std = 5.062 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 8.710 + std = 5.642 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.025 + std = 0.770 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_0_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.255 + std = 0.851 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [128, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.027 + std = 0.279 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -3.949 + std = 3.544 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 15.228 + std = 4.924 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.108 + std = 0.420 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.008 + std = 1.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.004 + std = 0.236 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.401 + std = 4.861 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 138.320 + std = 49.224 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.994 + std = 0.337 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.162 + std = 2.934 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [512, 128, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.000 + std = 0.240 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.719 + std = 9.768 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 16.566 + std = 7.535 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.009 + std = 1.778 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.957 + std = 1.395 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_" + shape = [512, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.013 + std = 0.243 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.904 + std = 4.531 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 9.663 + std = 5.404 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.834 + std = 1.213 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.578 + std = 1.948 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [128, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.014 + std = 0.249 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -7.830 + std = 13.199 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 198.506 + std = 124.993 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.383 + std = 0.556 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.560 + std = 1.987 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.010 + std = 0.242 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.948 + std = 8.930 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 97.249 + std = 50.590 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.674 + std = 0.547 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.426 + std = 1.960 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [512, 128, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.242 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.045 + std = 3.387 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 6.206 + std = 2.889 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.103 + std = 1.883 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.086 + std = 1.819 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [128, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.017 + std = 0.252 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -10.515 + std = 10.316 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 193.157 + std = 62.272 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.279 + std = 0.338 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.561 + std = 1.296 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.008 + std = 0.236 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.115 + std = 4.828 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 71.614 + std = 34.829 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.056 + std = 0.410 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.236 + std = 2.044 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [512, 128, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.228 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.067 + std = 5.486 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 8.685 + std = 3.276 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.105 + std = 1.688 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.781 + std = 1.349 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [128, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.015 + std = 0.250 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -9.659 + std = 11.514 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 183.143 + std = 83.902 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.800 + std = 0.551 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.114 + std = 1.415 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [128, 128, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.009 + std = 0.227 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -3.536 + std = 7.472 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 118.202 + std = 169.329 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.755 + std = 0.767 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [128] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.441 + std = 1.750 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [512, 128, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.237 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.209 + std = 3.363 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 11.641 + std = 17.439 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.008 + std = 1.700 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_1_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.980 + std = 1.516 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.012 + std = 0.258 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -5.199 + std = 10.224 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 186.339 + std = 50.398 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.024 + std = 0.367 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.499 + std = 1.141 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.002 + std = 0.220 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.699 + std = 6.164 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 190.560 + std = 68.224 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.021 + std = 0.494 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.905 + std = 2.228 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.234 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.261 + std = 8.392 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 30.491 + std = 9.232 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.062 + std = 1.999 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.657 + std = 1.585 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_" + shape = [1024, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.008 + std = 0.217 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -5.870 + std = 10.877 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 141.314 + std = 105.421 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.764 + std = 0.912 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.188 + std = 1.514 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.011 + std = 0.223 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -7.900 + std = 12.895 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 337.581 + std = 244.419 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.948 + std = 0.600 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.728 + std = 1.609 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.008 + std = 0.215 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -6.168 + std = 14.574 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 361.479 + std = 192.624 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.986 + std = 0.623 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.808 + std = 1.561 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.231 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.021 + std = 4.204 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 13.875 + std = 11.040 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.034 + std = 1.720 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.124 + std = 1.621 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.012 + std = 0.220 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -11.326 + std = 10.474 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 270.457 + std = 84.502 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.973 + std = 0.519 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.204 + std = 1.510 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.009 + std = 0.213 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -6.466 + std = 9.685 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 242.638 + std = 155.338 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.635 + std = 0.621 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.933 + std = 1.630 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.223 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.010 + std = 3.665 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 6.169 + std = 1.541 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.031 + std = 1.625 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.946 + std = 1.333 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.013 + std = 0.221 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -14.318 + std = 8.765 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 269.570 + std = 79.023 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.897 + std = 0.486 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.463 + std = 1.529 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.010 + std = 0.212 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -4.535 + std = 8.931 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 170.476 + std = 116.242 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.811 + std = 0.668 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.801 + std = 1.591 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.221 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.155 + std = 4.169 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 8.345 + std = 2.392 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.056 + std = 1.813 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_3_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.391 + std = 1.903 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.011 + std = 0.227 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -12.858 + std = 7.996 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 229.441 + std = 60.589 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.904 + std = 0.444 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.611 + std = 1.500 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.010 + std = 0.211 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -3.985 + std = 7.249 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 132.749 + std = 50.769 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.933 + std = 0.631 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.424 + std = 1.961 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.228 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.268 + std = 5.890 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 13.416 + std = 3.393 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.009 + std = 1.851 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_4_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.629 + std = 1.857 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [256, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.014 + std = 0.229 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -15.938 + std = 9.770 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 241.929 + std = 63.301 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.786 + std = 0.443 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.842 + std = 1.431 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [256, 256, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.009 + std = 0.209 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -3.068 + std = 5.656 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 92.180 + std = 23.850 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.910 + std = 0.553 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [256] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.283 + std = 1.731 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [1024, 256, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.000 + std = 0.231 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.117 + std = 5.418 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 15.449 + std = 3.545 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.031 + std = 1.800 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_2_modules_layers_modules_5_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [1024] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.398 + std = 1.630 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [512, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.013 + std = 0.231 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -15.758 + std = 8.123 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 253.178 + std = 58.366 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.770 + std = 0.352 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -2.062 + std = 1.031 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [512, 512, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.010 + std = 0.195 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -6.706 + std = 4.160 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 145.184 + std = 30.866 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.157 + std = 0.552 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.604 + std = 1.540 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [2048, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.224 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.328 + std = 11.014 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 28.335 + std = 9.559 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.041 + std = 1.462 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.972 + std = 1.051 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_convolution_parameters_weight_" + shape = [2048, 1024, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.018 + std = 0.208 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_mean_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -14.128 + std = 6.494 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_buffers_running_var_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 153.727 + std = 66.910 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_weight_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.530 + std = 0.370 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_0_modules_shortcut_modules_normalization_parameters_bias_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.792 + std = 0.919 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [512, 2048, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.022 + std = 0.209 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -3.606 + std = 1.545 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 40.963 + std = 19.379 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 2.100 + std = 0.531 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.166 + std = 0.904 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [512, 512, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.016 + std = 0.190 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -13.430 + std = 9.373 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 347.283 + std = 146.540 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.772 + std = 0.459 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.446 + std = 1.133 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [2048, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.001 + std = 0.218 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.083 + std = 2.780 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 9.043 + std = 3.082 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.043 + std = 1.194 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_1_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.787 + std = 0.686 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_convolution_parameters_weight_" + shape = [512, 2048, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.029 + std = 0.184 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -4.327 + std = 1.648 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 32.873 + std = 26.583 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.825 + std = 0.687 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_0_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.627 + std = 1.116 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_convolution_parameters_weight_" + shape = [512, 512, 3, 3] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.018 + std = 0.169 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_mean_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -5.628 + std = 3.681 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_buffers_running_var_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 88.796 + std = 64.777 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_weight_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = 1.656 + std = 0.892 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_1_modules_normalization_parameters_bias_" + shape = [512] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.362 + std = 1.470 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_convolution_parameters_weight_" + shape = [2048, 512, 1, 1] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.001 + std = 0.203 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_mean_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.009 + std = 2.422 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_buffers_running_var_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 6.845 + std = 1.634 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_weight_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = 0.004 + std = 1.110 + data = None + + +class Program_weight_tensor_meta_L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_: + name = "L_self_modules_resnet_modules_encoder_modules_stages_modules_3_modules_layers_modules_2_modules_layer_modules_2_modules_normalization_parameters_bias_" + shape = [2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -1.391 + std = 0.608 + 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, 2048] + dtype = "torch.float32" + device = "cuda:0" + mean = -0.085 + std = 0.226 + 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 = "cuda:0" + mean = -3.417 + std = 0.226 + data = None From 32b4d00fcc570ad9514d06a599eacedd289c6d44 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E7=A7=8B=E9=A3=8E=E9=80=81=E7=88=BD=E5=B1=81=E5=B1=81?= =?UTF-8?q?=E5=87=89?= <44296313+JewelRoam@users.noreply.github.com> Date: Tue, 5 Aug 2025 16:25:56 +0800 Subject: [PATCH 2/3] Update model.py --- .../google_vit-base-patch16-224/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/model.py b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py index 226e30b464..e2668758b6 100644 --- a/samples/transformers-auto-model/google_vit-base-patch16-224/model.py +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py @@ -1,4 +1,4 @@ -import torch +import torch class GraphModule(torch.nn.Module): From 5faee505bd1b7e3328cdc1a6c1ae8fb1eab4f965 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=E7=A7=8B=E9=A3=8E=E9=80=81=E7=88=BD=E5=B1=81=E5=B1=81?= =?UTF-8?q?=E5=87=89?= <44296313+JewelRoam@users.noreply.github.com> Date: Tue, 5 Aug 2025 16:27:17 +0800 Subject: [PATCH 3/3] Update model.py --- .../google_vit-base-patch16-224/model.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/samples/transformers-auto-model/google_vit-base-patch16-224/model.py b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py index e2668758b6..226e30b464 100644 --- a/samples/transformers-auto-model/google_vit-base-patch16-224/model.py +++ b/samples/transformers-auto-model/google_vit-base-patch16-224/model.py @@ -1,4 +1,4 @@ -import torch +import torch class GraphModule(torch.nn.Module):