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"53 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[0]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "85 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
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"55 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "56 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"56 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "57 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"57 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "69 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"58 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "60 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"59 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "60 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"60 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "61 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"61 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "62 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"62 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "63 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"63 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "71 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"64 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "66 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"65 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "66 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"66 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "67 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"67 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"68 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "77 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"69 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "70 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"70 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "72 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"71 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "72 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"72 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "73 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"73 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "74 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"74 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "75 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"75 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "76 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];
"76 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "77 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"77 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "78 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"78 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "79 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"79 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "80 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"80 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "81 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"81 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "83 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];
"82 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "83 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"83 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "84 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];
"84 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "85 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"85 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "86 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];
"86 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "88 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"86 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "95 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"87 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "89 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"88 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "89 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"89 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "90 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];
"90 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "91 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"91 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "93 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"92 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "93 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"93 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "94 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"94 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "95 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"95 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/__add___0" -> "96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "98 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "102 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "108 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"96 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[1]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "128 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"97 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "99 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"98 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "99 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];
"99 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "100 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"100 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "112 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"101 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "103 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"102 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "103 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];
"103 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "104 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"104 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "105 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"105 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "106 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"106 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "114 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"107 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "109 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"108 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "109 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];
"109 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "110 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"110 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "111 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"111 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"112 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "113 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"113 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "115 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"114 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "115 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"115 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "116 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"116 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "117 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"117 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "118 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"118 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "119 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];
"119 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"120 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "121 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"121 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "122 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"122 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "123 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"123 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "124 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"124 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "126 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];
"125 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"126 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "127 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];
"127 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "128 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"128 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "129 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];
"129 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "131 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"129 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "138 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"130 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "132 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"131 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "132 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"132 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "133 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];
"133 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "134 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"134 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "136 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"135 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "136 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"136 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "137 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"137 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "138 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"138 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/__add___0" -> "139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "141 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "145 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "151 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"139 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[2]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"140 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "142 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"141 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "142 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];
"142 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "143 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"143 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"144 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "146 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"145 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "146 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];
"146 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "147 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"147 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "148 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"148 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "149 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"149 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "157 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"150 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "152 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"151 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "152 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];
"152 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "153 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"153 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "154 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"154 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "163 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"155 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "156 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"156 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "158 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"157 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "158 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"158 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "159 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"159 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "160 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"160 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "161 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"161 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "162 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];
"162 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "163 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"163 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "164 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"164 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "165 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"165 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "166 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"166 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "167 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"167 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "169 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];
"168 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "169 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"169 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "170 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];
"170 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"171 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "172 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];
"172 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "174 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"172 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "181 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"173 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "175 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"174 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "175 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"175 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "176 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];
"176 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "177 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"177 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "179 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"178 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "179 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"179 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "180 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"180 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "181 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"181 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/__add___0" -> "182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "188 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "194 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"182 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[3]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "214 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"183 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "185 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"184 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "185 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];
"185 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "186 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"186 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "198 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"187 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "189 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"188 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "189 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];
"189 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "190 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"190 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "191 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"191 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "192 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"192 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "200 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"193 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "195 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"194 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "195 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];
"195 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "196 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"196 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "197 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"197 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"198 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "199 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"199 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "201 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"200 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "201 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"201 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "202 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"202 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "203 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"203 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "204 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"204 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "205 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];
"205 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"206 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "207 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"207 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "208 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"208 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "209 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"209 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "210 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"210 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "212 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];
"211 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "212 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"212 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "213 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];
"213 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "214 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"214 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "215 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];
"215 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "217 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"215 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"216 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "218 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"217 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "218 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"218 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "219 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];
"219 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "220 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"220 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "222 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"221 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "222 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"222 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "223 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"223 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"224 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/__add___0" -> "225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "227 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "231 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "237 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"225 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[4]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "257 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"226 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "228 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"227 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "228 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];
"228 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "229 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"229 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "241 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"230 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "232 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"231 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "232 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];
"232 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "233 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"233 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "234 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"234 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "235 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"235 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "243 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"236 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "238 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"237 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "238 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];
"238 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "239 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"239 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "240 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"240 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "249 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"241 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"242 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "244 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"243 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "244 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"244 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "245 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"245 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "246 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"246 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "247 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"247 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "248 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];
"248 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "249 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"249 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "250 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"250 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "251 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"251 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "252 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"252 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "253 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"253 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "255 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];
"254 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "255 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"255 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "256 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];
"256 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "257 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"257 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "258 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];
"258 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "260 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"258 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "267 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"259 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "261 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"260 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "261 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"261 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "262 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];
"262 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "263 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"263 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"264 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"265 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "266 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"266 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "267 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"267 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/__add___0" -> "268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "270 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "274 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "280 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"268 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[5]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"269 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"270 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "271 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];
"271 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "272 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"272 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "284 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"273 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "275 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"274 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "275 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];
"275 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "276 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"276 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "277 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"277 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "278 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"278 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "286 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"279 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "281 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"280 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "281 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];
"281 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "282 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"282 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "283 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"283 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "292 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"284 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "285 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"285 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"286 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"287 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "288 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"288 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "289 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"289 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "290 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"290 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "291 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];
"291 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "292 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"292 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "293 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"293 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "294 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"294 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "295 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"295 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "296 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"296 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "298 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];
"297 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "298 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"298 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "299 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];
"299 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"300 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "301 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];
"301 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "303 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"301 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "310 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"302 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "304 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"303 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "304 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"304 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "305 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];
"305 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "306 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"306 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "308 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"307 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "308 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"308 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "309 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"309 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "310 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"310 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/__add___0" -> "311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "313 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "317 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "323 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"311 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[6]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "343 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"312 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "314 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"313 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "314 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];
"314 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "315 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"315 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "327 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"316 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "318 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"317 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "318 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];
"318 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "319 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"319 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "320 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"320 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "321 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"321 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"322 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "324 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"323 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "324 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];
"324 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "325 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"325 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "326 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"326 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "335 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"327 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "328 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"328 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "330 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"329 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "330 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"330 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "331 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"331 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "332 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"332 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "333 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"333 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "334 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];
"334 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "335 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"335 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "336 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"336 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "337 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"337 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "338 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"338 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "339 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"339 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "341 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];
"340 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "341 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"341 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "342 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];
"342 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "343 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"343 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "344 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];
"344 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "346 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"344 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "353 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"345 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "347 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"346 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "347 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"347 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "348 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];
"348 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "349 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"349 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"350 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"351 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "352 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"352 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "353 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"353 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/__add___0" -> "354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "356 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "360 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "366 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"354 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[7]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"355 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "357 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"356 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "357 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];
"357 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"358 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "370 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"359 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "361 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"360 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "361 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];
"361 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "362 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"362 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "363 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"363 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "364 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"364 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "372 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"365 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "367 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"366 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "367 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];
"367 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "368 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"368 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "369 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"369 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "378 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"370 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "371 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"371 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "373 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"372 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "373 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"373 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "374 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"374 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "375 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"375 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "376 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"376 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "377 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];
"377 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "378 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"378 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "379 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"379 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "380 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"380 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "381 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"381 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "382 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"382 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "384 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];
"383 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "384 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"384 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "385 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];
"385 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"386 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "387 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];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "389 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"387 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "396 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"388 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "390 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"389 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "390 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"390 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "391 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];
"391 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "392 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"392 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "394 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"393 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "394 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"394 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "395 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"395 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "396 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"396 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/__add___0" -> "397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "399 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "403 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "409 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"397 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[8]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "429 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"398 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "400 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"399 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "400 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];
"400 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "401 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"401 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "413 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"402 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "404 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"403 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "404 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];
"404 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "405 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"405 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "406 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"406 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "407 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"407 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "415 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"408 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "410 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"409 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "410 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];
"410 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "411 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"411 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "412 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"412 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "421 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"413 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "414 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"414 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"415 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"416 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "417 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"417 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "418 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"418 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "419 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"419 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "420 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];
"420 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "421 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"421 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "422 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"422 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "423 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"423 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "424 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"424 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "425 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"425 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "427 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];
"426 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "427 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"427 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "428 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];
"428 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "429 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"429 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "430 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];
"430 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "432 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"430 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"431 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "433 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"432 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "433 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"433 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "434 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];
"434 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "435 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"435 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "437 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"436 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "437 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"437 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "438 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"438 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"439 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/__add___0" -> "440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "442 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "446 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "452 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"440 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[9]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "472 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"441 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "443 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"442 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "443 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];
"443 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "444 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"444 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "456 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"445 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "447 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"446 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "447 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];
"447 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "448 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"448 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "449 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"449 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "450 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"450 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "458 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"451 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "453 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"452 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "453 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];
"453 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "454 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"454 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "455 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"455 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "464 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"456 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "457 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"457 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "459 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"458 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "459 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"459 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "460 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"460 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "461 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"461 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "462 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"462 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "463 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];
"463 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "464 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"464 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "465 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"465 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "466 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"466 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "467 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"467 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "468 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"468 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "470 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];
"469 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "470 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"470 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "471 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];
"471 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "472 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"472 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "473 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];
"473 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "475 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"473 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "482 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"474 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "476 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"475 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "476 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"476 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "477 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];
"477 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "478 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"478 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "480 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"479 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "480 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"480 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "481 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"481 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "482 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"482 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/__add___0" -> "483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "485 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "489 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "495 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"483 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[10]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "515 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"484 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "486 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"485 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "486 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];
"486 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "487 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"487 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "499 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"488 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "490 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"489 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "490 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];
"490 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "491 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"491 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "492 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"492 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "493 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"493 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "501 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"494 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "496 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"495 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "496 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];
"496 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "497 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"497 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "498 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"498 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "507 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"499 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "500 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"500 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"501 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"502 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"503 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "504 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"504 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "505 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"505 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "506 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];
"506 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "507 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"507 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "508 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"508 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "509 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"509 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "510 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"510 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "511 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"511 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "513 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];
"512 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "513 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"513 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "514 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];
"514 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "515 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"515 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "516 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];
"516 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "518 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"516 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"517 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"518 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"519 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "520 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];
"520 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "521 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"521 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "523 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"522 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "523 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"523 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "524 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"524 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"525 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/__add___0" -> "526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "528 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "538 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"526 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[11]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "558 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"527 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "529 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"528 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "529 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];
"529 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "530 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"530 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "542 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"531 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "533 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"532 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "533 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];
"533 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "534 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"534 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "535 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"535 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "536 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"536 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "544 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"537 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "539 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"538 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "539 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];
"539 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "540 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"540 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "541 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"541 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "550 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"542 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "543 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"543 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "545 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"544 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "545 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"545 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "546 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"546 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "547 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"547 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "548 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"548 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "549 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];
"549 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "550 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"550 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "551 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"551 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "552 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"552 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "553 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"553 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "554 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"554 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "556 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];
"555 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "556 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"556 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "557 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];
"557 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "558 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"558 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "559 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];
"559 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"559 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "568 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"560 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "562 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"561 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "562 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"562 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "563 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];
"563 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "564 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"564 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "566 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"565 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "566 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"566 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "567 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"567 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "568 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"568 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/__add___0" -> "569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "571 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "575 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "581 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"569 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[12]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"570 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "572 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"571 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "572 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];
"572 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "573 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"573 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "585 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"574 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "576 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"575 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "576 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];
"576 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "577 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"577 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "578 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"578 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "579 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"579 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "587 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"580 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "582 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"581 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "582 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];
"582 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "583 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"583 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "584 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"584 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "593 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"585 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "586 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"586 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "588 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"587 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "588 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"588 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "589 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"589 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"590 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "591 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"591 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "592 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];
"592 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "593 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"593 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "594 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"594 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "595 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"595 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "596 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"596 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "597 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"597 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "599 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];
"598 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "599 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"599 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "600 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];
"600 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"601 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "602 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];
"602 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "604 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"602 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "611 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"603 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "605 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"604 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "605 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"605 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "606 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];
"606 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "607 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"607 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "609 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"608 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "609 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"609 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "610 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"610 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "611 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"611 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/__add___0" -> "612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "614 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "618 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "624 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"612 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[13]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "644 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"613 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "615 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"614 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "615 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];
"615 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "616 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"616 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "628 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"617 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "619 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"618 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "619 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];
"619 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "620 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"620 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "621 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"621 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "622 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"622 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "630 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"623 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "625 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"624 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "625 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];
"625 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "626 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"626 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "627 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"627 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "636 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"628 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "629 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"629 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "631 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"630 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "631 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"631 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "632 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"632 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "633 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"633 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "634 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"634 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "635 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];
"635 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "636 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"636 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "637 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"637 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "638 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"638 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "639 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"639 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "640 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"640 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "642 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];
"641 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "642 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"642 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "643 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];
"643 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "644 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"644 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "645 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];
"645 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "647 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"645 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "654 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"646 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"647 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"648 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "649 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];
"649 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "650 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"650 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "652 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"651 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "652 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"652 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "653 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"653 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "654 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"654 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/__add___0" -> "655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "657 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "661 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "667 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"655 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[14]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "687 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"656 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "658 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"657 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "658 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"658 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "659 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"659 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "671 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"660 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "662 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"661 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "662 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];
"662 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "663 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"663 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "664 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"664 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "665 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"665 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "673 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"666 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "668 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"667 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "668 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];
"668 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "669 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"669 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "670 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"670 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "679 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"671 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "672 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"672 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "674 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"673 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "674 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"674 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "675 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"675 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "676 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"676 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"677 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "678 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];
"678 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "679 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"679 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "680 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"680 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "681 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"681 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "682 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"682 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "683 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"683 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "685 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];
"684 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "685 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"685 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "686 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];
"686 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "687 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"687 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "688 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];
"688 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "690 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"688 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "697 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"689 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "691 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"690 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "691 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"691 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "692 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];
"692 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "693 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"693 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "695 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"694 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "695 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"695 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "696 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"696 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "697 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"697 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/__add___0" -> "698 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"698 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "700 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"698 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "704 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"698 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "710 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"698 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[15]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "730 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"699 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "701 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"700 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "701 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];
"701 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "702 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"702 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "714 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"703 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "705 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"704 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "705 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];
"705 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "706 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"706 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "707 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"707 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "708 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"708 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "716 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"709 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "711 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"710 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "711 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];
"711 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "712 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"712 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "713 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"713 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "722 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"714 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "715 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"715 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "717 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"716 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "717 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"717 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "718 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"718 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "719 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"719 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "720 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"720 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "721 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];
"721 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "722 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"722 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "723 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"723 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "724 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"724 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "725 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"725 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "726 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"726 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "728 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];
"727 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "728 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"728 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "729 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];
"729 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "730 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"730 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "731 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];
"731 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "733 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"731 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "740 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"732 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "734 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"733 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "734 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"734 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "735 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];
"735 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "736 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"736 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "738 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"737 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "738 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"738 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "739 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"739 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "740 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"740 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/__add___0" -> "741 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"741 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "743 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"741 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "747 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"741 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "753 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"741 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[16]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "773 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"742 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "744 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"743 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "744 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];
"744 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "745 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"745 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "757 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"746 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "748 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"747 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "748 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];
"748 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "749 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"749 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "750 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"750 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "751 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"751 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "759 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"752 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "754 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"753 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "754 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];
"754 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "755 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"755 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "756 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"756 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "765 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"757 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "758 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"758 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "760 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"759 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "760 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"760 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "761 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"761 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "762 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"762 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "763 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"763 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "764 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];
"764 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "765 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"765 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "766 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"766 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "767 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"767 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "768 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"768 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "769 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"769 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "771 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];
"770 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "771 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"771 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "772 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];
"772 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "773 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"773 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "774 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];
"774 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "776 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"774 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "783 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"775 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "777 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"776 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "777 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"777 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "778 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];
"778 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "779 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"779 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "781 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"780 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "781 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"781 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "782 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"782 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "783 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"783 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/__add___0" -> "784 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"784 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "786 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"784 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "790 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"784 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "796 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"784 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[17]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "816 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"785 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "787 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"786 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "787 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];
"787 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "788 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"788 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "800 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"789 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "791 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"790 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "791 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];
"791 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "792 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"792 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "793 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"793 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "794 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"794 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "802 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"795 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "797 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"796 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "797 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];
"797 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "798 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"798 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "799 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"799 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "808 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"800 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "801 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"801 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "803 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"802 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "803 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"803 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "804 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"804 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "805 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"805 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "806 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"806 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "807 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];
"807 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "808 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"808 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "809 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"809 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "810 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"810 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "811 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"811 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "812 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"812 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "814 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];
"813 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "814 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"814 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "815 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];
"815 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "816 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"816 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "817 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];
"817 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "819 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"817 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "826 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"818 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "820 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"819 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "820 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"820 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "821 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];
"821 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "822 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"822 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "824 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"823 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "824 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"824 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "825 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"825 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "826 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"826 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/__add___0" -> "827 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"827 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "829 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"827 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "833 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"827 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "839 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"827 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[18]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "859 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"828 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "830 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"829 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "830 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];
"830 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "831 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"831 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "843 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"832 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "834 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"833 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "834 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];
"834 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "835 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"835 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "836 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"836 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "837 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"837 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "845 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"838 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "840 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"839 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "840 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];
"840 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "841 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"841 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "842 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"842 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "851 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"843 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "844 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"844 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "846 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"845 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "846 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"846 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "847 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"847 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "848 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"848 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "849 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"849 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "850 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];
"850 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "851 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"851 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "852 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"852 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "853 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"853 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "854 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"854 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "855 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"855 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "857 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];
"856 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "857 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"857 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "858 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];
"858 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "859 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"859 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "860 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];
"860 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "862 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"860 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "869 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"861 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "863 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"862 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "863 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"863 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "864 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];
"864 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "865 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"865 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "867 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"866 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "867 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"867 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "868 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"868 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "869 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"869 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/__add___0" -> "870 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"870 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "872 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"870 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "876 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"870 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "882 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"870 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[19]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "902 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"871 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "873 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"872 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "873 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];
"873 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "874 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"874 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "886 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"875 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "877 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"876 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "877 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];
"877 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "878 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"878 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "879 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"879 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "880 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"880 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "888 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"881 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "883 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"882 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "883 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];
"883 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "884 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"884 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "885 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"885 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "894 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"886 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "887 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"887 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "889 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"888 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "889 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"889 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "890 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"890 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "891 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"891 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "892 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"892 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "893 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];
"893 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "894 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"894 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "895 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"895 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "896 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"896 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "897 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"897 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "898 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"898 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "900 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];
"899 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "900 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"900 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "901 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];
"901 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "902 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"902 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "903 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];
"903 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "905 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"903 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "912 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"904 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "906 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"905 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "906 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"906 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "907 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];
"907 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "908 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"908 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "910 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"909 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "910 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"910 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "911 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"911 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "912 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"912 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/__add___0" -> "913 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"913 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "915 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"913 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "919 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"913 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "925 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"913 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[20]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "945 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"914 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "916 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"915 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "916 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"916 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "917 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"917 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "929 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"918 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "920 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"919 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "920 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"920 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "921 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"921 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "922 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"922 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "923 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"923 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "931 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"924 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "926 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"925 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "926 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"926 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "927 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"927 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "928 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"928 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "937 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"929 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "930 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"930 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "932 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"931 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "932 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"932 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "933 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"933 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "934 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"934 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "935 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"935 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "936 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];
"936 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "937 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"937 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "938 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"938 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "939 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"939 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "940 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"940 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "941 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"941 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "943 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];
"942 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "943 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"943 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "944 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];
"944 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "945 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"945 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "946 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];
"946 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "948 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"946 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "955 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"947 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "949 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"948 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "949 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"949 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "950 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];
"950 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "951 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"951 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "953 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"952 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "953 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"953 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "954 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"954 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "955 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"955 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/__add___0" -> "956 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"956 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "958 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"956 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "962 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"956 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "968 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"956 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[21]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "988 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"957 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "959 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"958 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "959 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];
"959 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "960 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"960 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "972 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"961 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "963 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"962 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "963 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];
"963 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "964 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"964 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "965 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"965 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "966 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"966 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "974 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"967 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "969 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"968 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "969 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];
"969 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "970 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"970 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "971 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"971 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "980 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"972 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "973 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"973 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "975 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"974 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "975 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"975 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "976 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"976 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "977 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"977 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "978 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"978 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "979 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];
"979 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "980 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"980 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "981 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"981 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "982 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"982 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "983 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"983 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "984 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"984 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "986 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];
"985 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "986 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"986 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "987 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];
"987 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "988 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"988 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "989 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];
"989 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "991 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"989 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "998 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"990 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "992 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"991 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "992 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"992 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "993 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];
"993 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "994 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"994 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "996 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"995 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "996 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"996 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "997 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"997 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "998 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"998 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/__add___0" -> "999 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"999 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1001 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"999 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1005 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"999 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1011 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"999 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[22]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1031 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"1000 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1002 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1001 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1002 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];
"1002 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1003 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1003 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1015 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_2"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1004 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1006 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1005 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1006 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];
"1006 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1007 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1007 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1008 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1008 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_0" -> "1009 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"1009 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_0" -> "1017 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/transpose_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"1010 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1012 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1011 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1012 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];
"1012 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1013 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_1"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1013 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_1" -> "1014 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_1"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"1014 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_1" -> "1023 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 64) \n0 -> 1", style=solid];
"1015 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_2" -> "1016 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_2"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"1016 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_2" -> "1018 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"1017 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/transpose_0" -> "1018 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_0"  [label="(8, 16, 64, 160) \n0 -> 1", style=solid];
"1018 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_0" -> "1019 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"1019 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/__truediv___0" -> "1020 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/__add___0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"1020 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/__add___0" -> "1021 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/softmax_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"1021 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/softmax_0" -> "1022 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"1022 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1023 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_1"  [label="(8, 16, 160, 160) \n0 -> 0", style=solid];
"1023 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/matmul_1" -> "1024 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"1024 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1025 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_3"  [label="(8, 16, 160, 64) \n0 -> 0", style=solid];
"1025 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/permute_3" -> "1026 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"1026 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/contiguous_0" -> "1027 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_3"  [label="(8, 160, 16, 64) \n0 -> 0", style=solid];
"1027 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfAttention[self]/view_3" -> "1029 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1028 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1029 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1029 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1030 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1030 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1031 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1031 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/__add___0" -> "1032 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1032 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1034 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1032 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertAttention[attention]/BertSelfOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1041 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 1", style=solid];
"1033 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1035 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"1034 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1035 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1035 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1036 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"1036 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1037 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"1037 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1039 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(8, 160, 4096) \n0 -> 0", style=solid];
"1038 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1039 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"1039 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLinear[dense]/linear_0" -> "1040 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1040 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/Dropout[dropout]/dropout_0" -> "1041 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/__add___0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1041 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/__add___0" -> "1042 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1042 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/layer_norm_0" -> "1043 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1043 BertForTokenClassification/BertModel[bert]/BertEncoder[encoder]/ModuleList[layer]/BertLayer[23]/BertOutput[output]/NNCFLayerNorm[LayerNorm]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1044 BertForTokenClassification/Dropout[dropout]/dropout_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1044 BertForTokenClassification/Dropout[dropout]/dropout_0" -> "1046 BertForTokenClassification/NNCFLinear[classifier]/linear_0"  [label="(8, 160, 1024) \n0 -> 0", style=solid];
"1045 BertForTokenClassification/NNCFLinear[classifier]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1046 BertForTokenClassification/NNCFLinear[classifier]/linear_0"  [label="(9, 1024) \n0 -> 1", style=solid];
"1046 BertForTokenClassification/NNCFLinear[classifier]/linear_0" -> "1047 /nncf_model_output_0"  [label="(8, 160, 9) \n0 -> 0", style=solid];
}