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"45 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "46 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"46 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "55 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"47 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "48 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"48 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "50 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"49 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "50 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"50 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "51 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"51 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "52 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"52 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "53 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"53 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "54 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"54 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "55 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"55 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "56 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"56 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "57 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"57 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "58 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"58 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "59 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"59 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "60 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"60 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "61 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"61 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "62 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"62 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "63 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"62 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "67 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"63 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "64 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"64 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "65 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"65 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "66 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"66 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "67 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"67 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0" -> "68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "69 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "70 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "73 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "90 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"69 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "76 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"70 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "71 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"71 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "72 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"72 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "78 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"73 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "74 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"74 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "75 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"75 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "84 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"76 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "77 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"77 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "79 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"78 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "79 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"79 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "80 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"80 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "81 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"81 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "82 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"82 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "83 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"83 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "84 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"84 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "85 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"85 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "86 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"86 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "87 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"87 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "88 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"88 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "89 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"89 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "90 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"90 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "91 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"91 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "92 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"91 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"92 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "93 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"93 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "94 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"94 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "95 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"95 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0" -> "97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "98 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "99 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "102 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "119 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"98 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "105 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"99 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "100 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"100 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "101 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"101 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "107 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"102 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "103 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"103 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "104 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"104 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "113 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"105 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "106 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"106 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "108 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"107 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "108 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"108 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "109 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"109 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "110 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"110 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "111 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"111 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "112 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"112 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "113 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"113 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "114 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"114 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "115 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"115 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "116 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"116 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "117 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"117 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "118 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"118 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "119 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"119 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "121 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "125 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"121 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "122 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"122 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "123 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"123 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "124 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"124 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "125 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"125 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0" -> "126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "127 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "128 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "131 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "148 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"127 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "134 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"128 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "129 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"129 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "130 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"130 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "136 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"131 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "132 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"132 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "133 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"133 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "142 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"134 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "135 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"135 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "137 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"136 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "137 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"137 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "138 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"138 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "140 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"140 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "141 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"141 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "142 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"142 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "143 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"143 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "144 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"144 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "145 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"145 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "146 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"146 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "147 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"147 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "148 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"148 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "149 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"149 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "150 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"149 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "154 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"150 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "151 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"151 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "152 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"152 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "153 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"153 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "154 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"154 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0" -> "155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "156 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "157 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "160 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "177 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"156 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "163 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"157 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "158 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"158 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "159 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"159 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "165 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"160 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "161 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"161 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "162 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"162 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"163 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "164 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"164 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "166 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"165 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "166 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"166 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "167 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"167 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "168 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"168 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "169 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"169 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "170 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"170 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "172 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"172 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "173 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"173 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "174 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"174 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "175 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"175 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "176 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"176 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "177 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"177 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "178 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"178 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "179 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"178 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "183 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"179 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "180 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"180 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "181 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"181 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "183 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"183 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0" -> "184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "185 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "186 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "189 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"185 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "192 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"186 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "187 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"187 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "188 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"188 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "194 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"189 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "190 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"190 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "191 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"191 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "200 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"192 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "193 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"193 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "195 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"194 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "195 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"195 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "196 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"196 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "197 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"197 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "198 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"198 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "199 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"199 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "200 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"200 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "201 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"201 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "202 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"202 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "203 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"203 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "204 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"204 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "205 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"205 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "207 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"207 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "208 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"207 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "212 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"208 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "209 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"209 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "210 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"210 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "211 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"211 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "212 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"212 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0" -> "213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "214 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "215 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "218 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "235 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"214 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "221 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"215 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "216 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"216 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "217 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"217 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "223 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"218 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "219 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"219 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "220 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"220 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "229 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"221 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "222 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"222 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"223 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "226 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"226 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "227 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"227 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "228 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"228 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "229 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"229 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "230 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"230 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "231 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"231 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "232 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"232 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "233 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"233 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "234 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"234 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "235 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"235 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "236 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"236 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "237 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"236 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "241 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"237 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "238 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"238 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "239 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"239 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "240 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"240 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "241 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"241 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0" -> "242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "243 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "244 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "247 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "264 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"243 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "250 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"244 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "245 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"245 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "246 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"246 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "252 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"247 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "248 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"248 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "249 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"249 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "258 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"250 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "251 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"251 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "253 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"252 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "253 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"253 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "254 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"254 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "255 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"255 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "256 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"256 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "257 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"257 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "258 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"258 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "259 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"259 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "260 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"260 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "261 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"261 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "262 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"262 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "263 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"263 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "264 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"264 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "266 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "270 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"266 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "267 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"267 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "269 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"269 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "270 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"270 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0" -> "271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "272 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "273 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "276 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "293 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"272 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "279 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"273 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "274 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"274 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "275 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"275 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "281 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"276 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "277 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"277 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "278 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"278 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"279 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "280 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"280 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "282 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"281 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "282 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"282 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "283 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"283 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "284 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"284 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "285 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"285 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "286 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"286 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "288 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"288 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "289 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"289 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "290 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"290 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "291 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"291 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "292 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"292 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "293 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"293 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "294 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"294 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "295 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"294 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "299 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"295 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "296 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"296 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "297 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"297 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "298 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"298 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "299 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"299 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0" -> "300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "301 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "302 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "305 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "322 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"301 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "308 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"302 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "303 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"303 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "304 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"304 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "310 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"305 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "306 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"306 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "307 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"307 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "316 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"308 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "309 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"309 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"310 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "312 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"312 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "313 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"313 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "314 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"314 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "315 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"315 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "316 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"316 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "317 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"317 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "318 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"318 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "319 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"319 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "320 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"320 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "321 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"321 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "322 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"322 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "323 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"323 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "324 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"323 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "328 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"324 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "325 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"325 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "326 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"326 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "327 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"327 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "328 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"328 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0" -> "329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "330 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "331 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "334 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"330 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "337 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"331 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "332 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"332 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "333 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"333 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "339 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"334 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "335 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"335 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "336 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"336 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "345 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"337 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "338 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"338 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "340 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"339 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "340 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"340 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "341 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"341 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "342 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"342 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "343 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"343 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "344 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"344 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "345 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"345 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "346 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"346 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "347 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"347 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "348 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"348 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "349 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"349 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "350 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"350 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "352 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"352 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "353 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"352 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "357 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"353 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "355 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"355 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "356 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"356 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "357 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"357 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0" -> "358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "359 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "360 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "363 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "380 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"359 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "366 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"360 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "361 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"361 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "362 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"362 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "368 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"363 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "364 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"364 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "365 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"365 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "374 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"366 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "367 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"367 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "369 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"368 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "369 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"369 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "370 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"370 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "371 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"371 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "372 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"372 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "373 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"373 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "374 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"374 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "375 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"375 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "376 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"376 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "377 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"377 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "378 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"378 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "379 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"379 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "380 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"380 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "381 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"381 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "382 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"381 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"382 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "383 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"383 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "384 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"384 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "385 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"385 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0" -> "387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "388 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "389 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "392 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "409 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"388 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "395 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"389 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "390 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"390 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "391 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"391 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"392 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "393 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"393 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "394 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"394 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "403 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"395 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "396 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"396 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "398 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "398 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"398 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "399 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"399 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "400 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"400 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "401 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"401 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "402 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"402 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "403 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"403 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "404 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"404 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "405 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"405 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "406 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"406 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "407 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"407 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "408 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"408 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "409 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"409 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "410 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"410 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "411 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"410 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "415 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"411 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "412 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"412 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "413 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"413 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "414 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"414 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "415 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"415 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0" -> "416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "417 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "418 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "421 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "438 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"417 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "424 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"418 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "419 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"419 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "420 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"420 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "426 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"421 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "422 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"422 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "423 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"423 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "432 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"424 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "425 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"425 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "427 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"426 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "427 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"427 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "428 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"428 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "429 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"429 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "430 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"430 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "431 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"431 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "432 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"432 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "433 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"433 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "434 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"434 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "435 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"435 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "436 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"436 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "437 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"437 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "438 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"438 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "444 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "441 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"441 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "442 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"442 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "443 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"443 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "444 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"444 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0" -> "445 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
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"445 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "447 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"445 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "450 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
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"446 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "453 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"447 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "448 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"448 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "449 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"449 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "455 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"450 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "451 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"451 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "452 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"452 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "461 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"453 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "454 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"454 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "456 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"455 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "456 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"456 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "457 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"457 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "458 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"458 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "459 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"459 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "460 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"460 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "461 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"461 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "462 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"462 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "463 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"463 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "464 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"464 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "465 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"465 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "466 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"466 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "467 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"467 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "468 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"468 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "469 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"468 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "473 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"469 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "470 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"470 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "471 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"471 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "472 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"472 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "473 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"473 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0" -> "474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "475 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "476 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "479 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "496 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"475 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "482 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"476 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "477 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"477 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "478 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"478 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "484 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"479 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "480 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"480 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "481 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"481 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "490 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"482 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "485 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"484 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "485 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"485 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "486 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"486 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "487 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"487 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "488 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"488 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "489 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"489 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "490 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"490 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "491 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"491 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "492 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"492 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "493 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"493 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "494 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"494 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "495 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"495 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "496 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"496 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "497 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"497 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "498 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"497 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"498 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "499 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"499 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "500 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"500 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "501 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"501 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0" -> "503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "504 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "505 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "508 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"504 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "511 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"505 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "506 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"506 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "507 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"507 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "513 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"508 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "509 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"509 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "510 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"510 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"511 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "512 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"512 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "514 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"513 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "514 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"514 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "515 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"515 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "516 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"516 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "517 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"517 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "518 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"518 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "520 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"520 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "521 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"521 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "522 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"522 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "523 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"523 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "524 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"524 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "527 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "531 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"527 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "528 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"528 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "529 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"529 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "530 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"530 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "531 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"531 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0" -> "532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "533 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "534 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "537 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "554 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"533 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "540 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"534 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "535 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"535 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "536 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"536 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "542 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"537 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "538 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"538 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "539 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"539 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "548 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"540 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "541 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"541 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "543 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"542 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "543 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"543 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "544 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"544 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "545 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"545 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "546 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"546 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "547 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"547 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "548 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"548 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "549 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"549 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "550 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"550 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "551 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"551 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "552 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"552 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "553 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"553 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "554 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"554 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "555 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"555 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "556 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"555 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "560 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"556 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "557 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"557 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "558 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"558 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "559 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"559 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "560 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"560 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0" -> "561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "562 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "563 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "566 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "583 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"562 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"563 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "564 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"564 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "565 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"565 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "571 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"566 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "567 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"567 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "568 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"568 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "577 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "570 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"570 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "572 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"571 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "572 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"572 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "573 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"573 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "574 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"574 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "575 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"575 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "576 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"576 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "577 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"577 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "578 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"578 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "579 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"579 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "580 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"580 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "581 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"581 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "582 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"582 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "583 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"583 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "584 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"584 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "585 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"584 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "589 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"585 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "586 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"586 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "587 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"587 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "588 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"588 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "589 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"589 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0" -> "590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "591 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "592 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "595 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"591 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "598 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"592 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "593 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"593 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "594 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"594 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "600 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"595 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "596 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"596 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "597 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"597 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "606 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"598 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "599 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"599 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"600 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "602 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"602 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "603 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"603 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "604 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"604 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "605 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"605 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "606 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"606 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "607 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"607 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "608 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"608 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "609 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"609 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "610 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"610 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "611 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"611 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "613 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"613 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "614 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"613 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "618 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"614 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "615 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"615 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "616 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"616 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "617 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"617 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "618 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"618 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0" -> "619 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
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"620 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "627 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"621 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "622 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"622 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "623 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"623 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "629 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"624 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "625 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"625 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "626 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"626 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "635 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"627 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "628 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"628 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "630 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"629 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "630 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"630 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "631 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"631 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "632 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"632 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "633 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"633 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "634 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"634 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "635 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"635 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "636 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"636 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "637 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"637 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "638 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"638 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "639 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"639 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "640 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"640 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "641 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"641 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "642 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"642 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "643 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"642 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "647 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"643 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "644 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"644 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "645 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"645 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "646 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"646 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "647 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"647 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0" -> "648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "649 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "650 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "653 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "670 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"649 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "656 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"650 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "651 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"651 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "652 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"652 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "658 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"653 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "654 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"654 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "664 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"656 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "657 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"657 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "659 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"658 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "659 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"659 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "660 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"660 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "661 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"661 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "662 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"662 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "663 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"663 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "664 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"664 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "665 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"665 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "666 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"666 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "667 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"667 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "668 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"668 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "669 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"669 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "670 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"670 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "671 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"671 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "672 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"671 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "676 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"672 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "673 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"673 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "674 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"674 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "675 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"675 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "676 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"676 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0" -> "677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "678 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "679 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "682 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "699 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"678 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "685 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"679 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "680 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"680 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "681 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"681 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "687 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
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}