strict digraph  {
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"1100 SwinForImageClassification/NNCFLinear[classifier]/linear_0";
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"3 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/transpose_0" -> "4 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"4 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/NNCFLayerNorm[norm]/layer_norm_0" -> "5 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"5 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0" -> "6 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"5 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0" -> "41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"6 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "7 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"7 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "8 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"8 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "9 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"9 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "10 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"10 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "11 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"11 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "12 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"12 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "14 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "15 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "18 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"14 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "21 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"15 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "17 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"17 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "23 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"18 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "19 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"19 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "20 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"20 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 32) \n0 -> 1", style=solid];
"21 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "24 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"23 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "24 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 32, 49) \n0 -> 1", style=solid];
"24 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "25 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"25 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "26 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"26 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "27 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"27 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "28 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"28 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "30 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"30 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "31 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"31 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "32 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"32 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "33 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"33 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "34 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"34 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "35 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"35 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "36 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"36 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "37 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"37 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "39 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"39 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "40 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"40 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "42 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"42 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "43 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"43 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "44 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"44 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "45 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"45 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "46 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"46 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "48 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"48 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "49 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"49 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "50 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"50 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "51 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"51 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "52 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"52 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "53 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"53 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "54 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"54 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "55 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"55 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "56 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"56 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "57 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"56 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "58 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"56 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "61 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"57 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "64 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"58 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "60 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"60 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "66 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"61 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "62 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"62 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "63 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"63 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 32) \n0 -> 1", style=solid];
"64 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "65 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"65 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"66 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 32, 49) \n0 -> 1", style=solid];
"67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "68 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"68 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "69 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"69 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "70 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"70 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "71 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 64, 4, 49, 49) \n0 -> 0", style=solid];
"71 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "72 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 64, 4, 49, 49) \n0 -> 0", style=solid];
"72 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "73 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"73 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "74 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"74 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "76 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"76 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "77 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"77 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "78 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"78 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "79 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"79 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "80 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"80 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "81 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"81 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "82 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"82 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "84 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"84 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "86 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"86 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "87 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"87 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "89 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "94 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"89 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "90 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"90 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "91 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"91 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "92 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"92 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "93 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"93 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "94 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"94 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "96 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "97 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "98 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "99 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"96 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___0" -> "100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 0", style=solid];
"97 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___1" -> "100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 1", style=solid];
"98 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___2" -> "100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 2", style=solid];
"99 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___3" -> "100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 3", style=solid];
"100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0" -> "101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_1"  [label="(16, 28, 28, 512) \n0 -> 0", style=solid];
"101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_1" -> "102 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 784, 512) \n0 -> 0", style=solid];
"102 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 784, 512) \n0 -> 0", style=solid];
"103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "112 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"112 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "114 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"114 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "121 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 32) \n0 -> 1", style=solid];
"119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "120 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
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"123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "124 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"124 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "125 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
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"126 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "136 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"136 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "143 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"143 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "149 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"149 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "151 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"151 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "153 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"153 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "155 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"155 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "161 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"161 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 32) \n0 -> 1", style=solid];
"162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "163 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"163 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 32, 49) \n0 -> 1", style=solid];
"165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 16, 8, 49, 49) \n0 -> 0", style=solid];
"169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 16, 8, 49, 49) \n0 -> 0", style=solid];
"170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "175 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"175 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "182 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"182 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "184 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"184 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "189 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"189 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "191 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"191 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "196 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___0" -> "198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 0", style=solid];
"195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___1" -> "198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 1", style=solid];
"196 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___2" -> "198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 2", style=solid];
"197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___3" -> "198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 3", style=solid];
"198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0" -> "199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_1"  [label="(16, 14, 14, 1024) \n0 -> 0", style=solid];
"199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_1" -> "200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 196, 1024) \n0 -> 0", style=solid];
"200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 196, 1024) \n0 -> 0", style=solid];
"201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "203 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"203 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "205 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"205 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "207 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"207 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "219 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"219 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "221 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"222 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "223 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "226 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
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"228 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "229 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"235 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "242 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"242 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "245 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"245 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "254 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"254 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "261 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"261 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "268 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"268 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "270 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"270 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "275 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"275 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "277 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"277 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "285 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"285 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "286 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"286 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "287 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"287 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_0" -> "293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/pad_0" -> "294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_1" -> "295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_0" -> "296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_0" -> "297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_2" -> "298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "302 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"302 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "308 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "304 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"304 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"308 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "310 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"310 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "312 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"312 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_4" -> "321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_5" -> "322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_1" -> "323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_1" -> "324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_6" -> "325 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"325 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_7" -> "326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0" -> "327 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0" -> "332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"327 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "329 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
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"335 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/pad_0" -> "336 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"336 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_0" -> "337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_1" -> "338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_0" -> "339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_0" -> "340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_2" -> "341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "343 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"343 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "345 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"345 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "350 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"350 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "361 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"361 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "363 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"363 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "364 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"364 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "365 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_4" -> "367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_5" -> "368 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"368 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_1" -> "369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
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"371 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_1" -> "372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_7" -> "373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0" -> "374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0" -> "379 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "376 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "378 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"379 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1" -> "380 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "401 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_4" -> "410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_5" -> "411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_1" -> "412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_1" -> "413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_6" -> "414 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
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"415 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___0" -> "416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
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"436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"440 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_4" -> "456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_5" -> "457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_1" -> "458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_1" -> "459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_6" -> "460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_1" -> "461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_7" -> "462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0" -> "463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0" -> "468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "465 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1" -> "469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1" -> "504 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_0" -> "471 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
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"472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_1" -> "473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_0" -> "474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_0" -> "475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_2" -> "476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
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"479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "480 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"482 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"495 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "496 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"499 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_5" -> "500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_1" -> "501 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
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"504 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0" -> "505 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"505 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "506 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"506 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "507 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"535 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "536 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"537 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "540 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"540 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "541 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"541 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_4" -> "545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_5" -> "546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_1" -> "547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_1" -> "548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_6" -> "549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_1" -> "550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_7" -> "551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0" -> "552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0" -> "557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1" -> "558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1" -> "593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "559 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"559 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_0" -> "560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/pad_0" -> "561 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"561 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_1" -> "562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_0" -> "563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_0" -> "564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_2" -> "565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "567 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "570 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"567 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "569 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"569 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "575 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
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"571 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"573 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "574 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"586 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_4" -> "588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_5" -> "589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_1" -> "590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_1" -> "591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_6" -> "592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_7" -> "593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0" -> "594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0" -> "599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "596 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"597 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1" -> "600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1" -> "640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "601 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"601 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_0" -> "602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
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"603 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_0" -> "604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_1" -> "605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_0" -> "606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_0" -> "607 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"607 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_2" -> "608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "609 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "610 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"609 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"610 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "618 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "615 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "617 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "623 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
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"624 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "625 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_1" -> "637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_6" -> "638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_1" -> "639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_7" -> "640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0" -> "641 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0" -> "646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"641 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "643 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"643 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1" -> "647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1" -> "682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_0" -> "649 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"649 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/pad_0" -> "650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_1" -> "651 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"651 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_0" -> "652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_0" -> "653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_2" -> "654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "656 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"656 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "657 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"657 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "658 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"658 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "660 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"660 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "666 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"666 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "667 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"667 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "668 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_4" -> "677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_5" -> "678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_1" -> "679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_1" -> "680 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
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"682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0" -> "683 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0" -> "688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"684 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "685 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"686 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1" -> "689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1" -> "729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "690 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"690 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_0" -> "691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/pad_0" -> "692 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"692 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_0" -> "693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_1" -> "694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_0" -> "695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_0" -> "696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_2" -> "697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "702 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "701 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"701 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"702 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "712 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"712 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "714 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "718 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"722 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_4" -> "723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_5" -> "724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_1" -> "725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_1" -> "726 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
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"729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0" -> "730 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "734 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"736 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "737 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"737 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_0" -> "738 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"738 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/pad_0" -> "739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_1" -> "740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_0" -> "741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_0" -> "742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_2" -> "743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "744 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"744 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "746 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"746 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "762 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"762 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "764 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"764 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_4" -> "766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_5" -> "767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_1" -> "768 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"768 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_1" -> "769 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
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"770 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_7" -> "771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0" -> "772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0" -> "777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
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"775 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "776 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1" -> "778 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1" -> "818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"778 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "779 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_0" -> "784 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
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"792 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "793 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"794 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "795 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
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"802 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "803 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
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"808 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "809 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0" -> "819 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"837 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "844 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"844 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "846 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"846 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_4" -> "855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_5" -> "856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_1" -> "857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_1" -> "858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_6" -> "859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_7" -> "860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0" -> "861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0" -> "866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1" -> "867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1" -> "907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_0" -> "869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/pad_0" -> "870 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
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"871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_1" -> "872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_0" -> "873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_0" -> "874 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"874 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_2" -> "875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "877 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "880 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
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"881 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "882 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"883 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "884 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
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"887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "897 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"897 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "899 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"899 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_4" -> "901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_5" -> "902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_1" -> "903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_1" -> "904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_6" -> "905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_1" -> "906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_7" -> "907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0" -> "908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0" -> "913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1" -> "914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1" -> "949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_0" -> "916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
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"917 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_1" -> "918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_0" -> "919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_0" -> "920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_2" -> "921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
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"928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
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"933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_4" -> "944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_5" -> "945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_1" -> "946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_1" -> "947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_6" -> "948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_7" -> "949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0" -> "950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0" -> "955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1" -> "956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1" -> "996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_0" -> "958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/pad_0" -> "959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_0" -> "960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_1" -> "961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_0" -> "962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_0" -> "963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_2" -> "964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "969 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "972 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "974 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"969 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "970 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"970 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "971 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"971 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"972 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "973 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"973 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"974 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "976 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"976 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "978 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"978 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "979 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"979 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "980 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"980 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "981 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"981 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "982 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"982 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "984 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"984 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "986 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"986 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "987 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"987 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "988 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"988 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "989 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"989 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_4" -> "990 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"990 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_5" -> "991 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"991 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_1" -> "992 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"992 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_1" -> "993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_6" -> "994 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"994 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_1" -> "995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_7" -> "996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0" -> "997 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0" -> "1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"997 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "998 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"998 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "999 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"999 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1000 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1000 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1001 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1001 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1" -> "1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1005 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1006 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1007 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___0" -> "1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 0", style=solid];
"1005 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___1" -> "1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 1", style=solid];
"1006 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___2" -> "1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 2", style=solid];
"1007 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___3" -> "1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 3", style=solid];
"1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0" -> "1009 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_1"  [label="(16, 7, 7, 2048) \n0 -> 0", style=solid];
"1009 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_1" -> "1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 49, 2048) \n0 -> 0", style=solid];
"1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 49, 2048) \n0 -> 0", style=solid];
"1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "1012 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1012 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1013 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1013 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "1014 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1014 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "1015 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1015 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "1016 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1016 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "1018 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1018 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1020 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1021 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1024 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1020 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1027 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1021 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1022 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1022 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1023 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1023 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1029 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1024 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1025 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1025 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 32) \n0 -> 1", style=solid];
"1027 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1028 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1028 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1029 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 32, 49) \n0 -> 1", style=solid];
"1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1031 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1031 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1033 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1033 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1034 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1034 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1036 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1036 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1038 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1038 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1039 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1039 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1040 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1040 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1041 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1041 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "1042 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1042 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "1043 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1043 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "1044 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1044 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "1045 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1045 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "1046 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1046 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "1048 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1048 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1049 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1049 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1050 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1050 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1051 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1051 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1052 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1052 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "1054 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1054 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "1056 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1056 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "1057 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1057 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "1058 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1058 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "1059 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1059 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "1060 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1060 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1062 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1066 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1062 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1069 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1064 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1064 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1065 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1065 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1066 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1067 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1067 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1068 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1068 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1077 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 32) \n0 -> 1", style=solid];
"1069 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1070 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1070 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 32, 49) \n0 -> 1", style=solid];
"1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1074 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1074 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1075 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1075 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1076 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1076 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1077 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1077 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1078 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1078 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1079 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1079 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1080 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1080 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1081 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1081 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1082 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1082 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "1084 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1084 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "1085 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1085 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "1086 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1086 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "1087 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1087 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "1088 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1088 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "1090 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "1095 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1090 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1091 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1091 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1092 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1092 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1093 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1093 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1094 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1094 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1095 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1095 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "1096 SwinForImageClassification/SwinModel[swin]/NNCFLayerNorm[layernorm]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1096 SwinForImageClassification/SwinModel[swin]/NNCFLayerNorm[layernorm]/layer_norm_0" -> "1097 SwinForImageClassification/SwinModel[swin]/transpose_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1097 SwinForImageClassification/SwinModel[swin]/transpose_0" -> "1098 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/adaptive_avg_pool1d_0"  [label="(16, 1024, 49) \n0 -> 0", style=solid];
"1098 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/adaptive_avg_pool1d_0" -> "1099 SwinForImageClassification/SwinModel[swin]/flatten_0"  [label="(16, 1024, 1) \n0 -> 0", style=solid];
"1099 SwinForImageClassification/SwinModel[swin]/flatten_0" -> "1100 SwinForImageClassification/NNCFLinear[classifier]/linear_0"  [label="(16, 1024) \n0 -> 0", style=solid];
"1100 SwinForImageClassification/NNCFLinear[classifier]/linear_0" -> "1101 /nncf_model_output_0"  [label="(16, 101) \n0 -> 0", style=solid];
}