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"966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0";
"969 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0";
"970 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_4";
"971 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_5";
"972 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_1";
"973 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_1";
"974 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_6";
"975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_1";
"976 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_7";
"977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0";
"978 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/layer_norm_0";
"979 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0";
"980 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"981 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"982 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"984 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0";
"986 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0";
"987 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0";
"988 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"989 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"990 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"991 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"992 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
"994 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/Dropout[dropout]/dropout_0";
"995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1";
"996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/layer_norm_0";
"997 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0";
"998 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_0";
"999 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/pad_0";
"1000 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_1";
"1001 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_0";
"1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_0";
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_2";
"1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3";
"1005 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1006 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1007 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1009 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0";
"1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0";
"1012 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1013 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1014 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1015 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1016 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0";
"1018 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0";
"1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_0";
"1020 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0";
"1021 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1022 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1023 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1024 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1025 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0";
"1027 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_1";
"1028 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1";
"1029 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_2";
"1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2";
"1031 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0";
"1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0";
"1033 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0";
"1034 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0";
"1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0";
"1036 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0";
"1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1";
"1038 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0";
"1039 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3";
"1040 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0";
"1041 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_3";
"1042 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1043 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1044 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1045 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1046 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0";
"1048 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0";
"1049 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_4";
"1050 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_5";
"1051 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_1";
"1052 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_1";
"1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_6";
"1054 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_7";
"1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0";
"1056 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/layer_norm_0";
"1057 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0";
"1058 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1059 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1060 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1062 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0";
"1064 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0";
"1065 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0";
"1066 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1067 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1068 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1069 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1070 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
"1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/Dropout[dropout]/dropout_0";
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"1388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
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"1390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
"1394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/Dropout[dropout]/dropout_0";
"1395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1";
"1396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_before]/layer_norm_0";
"1397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_0";
"1398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/pad_0";
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"1400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/AsymmetricQuantizer/asymmetric_quantize_0";
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"1402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_0";
"1403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_0";
"1404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_2";
"1405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_3";
"1406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1408 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0";
"1412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0";
"1413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1414 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1415 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0";
"1419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0";
"1420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_0";
"1421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0";
"1422 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1423 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1424 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1425 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1426 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0";
"1428 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_1";
"1429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1";
"1430 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_2";
"1431 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2";
"1432 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0";
"1433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0";
"1434 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0";
"1435 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0";
"1436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_3";
"1437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1";
"1438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_4";
"1439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0";
"1440 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0";
"1441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1";
"1442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0";
"1443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3";
"1444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0";
"1445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_5";
"1446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0";
"1452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0";
"1453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_4";
"1454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_5";
"1455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_1";
"1456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_1";
"1457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_6";
"1458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/roll_1";
"1459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_7";
"1460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0";
"1461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/layer_norm_0";
"1462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0";
"1463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1465 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0";
"1469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0";
"1470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0";
"1471 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
"1477 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/Dropout[dropout]/dropout_0";
"1478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___1";
"1479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/layer_norm_0";
"1480 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0";
"1481 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_0";
"1482 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/pad_0";
"1483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_1";
"1484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_0";
"1485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_0";
"1486 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_2";
"1487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_3";
"1488 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1489 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1490 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1491 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0";
"1494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0";
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"1823 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1825 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0";
"1827 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0";
"1828 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1829 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1830 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1831 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0";
"1834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0";
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"1837 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0";
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"1848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0";
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"1851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0";
"1852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0";
"1853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1";
"1854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0";
"1855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3";
"1856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0";
"1857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3";
"1858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0";
"1864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0";
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"1876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
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"1878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
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"1881 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0";
"1882 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1883 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1884 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
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"1891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0";
"1892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_0";
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"1900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0";
"1905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0";
"1906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0";
"1912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0";
"1913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0";
"1914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0";
"1915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1917 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0";
"1921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1";
"1922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1";
"1923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2";
"1924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2";
"1925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0";
"1926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0";
"1927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0";
"1928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0";
"1929 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0";
"1930 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0";
"1931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1";
"1932 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0";
"1933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3";
"1934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0";
"1935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3";
"1936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0";
"1942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0";
"1943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_4";
"1944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_5";
"1945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_1";
"1946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_1";
"1947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_6";
"1948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_7";
"1949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0";
"1950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0";
"1951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0";
"1952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0";
"1958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0";
"1959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0";
"1960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0";
"1961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0";
"1962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1";
"1963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1";
"1964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0";
"1966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0";
"1967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1";
"1968 SwinForImageClassification/SwinModel[swin]/NNCFLayerNorm[layernorm]/layer_norm_0";
"1969 SwinForImageClassification/SwinModel[swin]/transpose_0";
"1970 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/adaptive_avg_pool1d_0";
"1971 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/AsymmetricQuantizer/asymmetric_quantize_0";
"1972 SwinForImageClassification/SwinModel[swin]/flatten_0";
"1973 SwinForImageClassification/NNCFLinear[classifier]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0";
"1974 SwinForImageClassification/NNCFLinear[classifier]/linear_0";
"1975 /nncf_model_output_0";
"0 /nncf_model_input_0" -> "1 AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3, 224, 224) \n0 -> 0", style=solid];
"1 AsymmetricQuantizer/asymmetric_quantize_0" -> "3 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/NNCFConv2d[projection]/conv2d_0"  [label="(16, 3, 224, 224) \n0 -> 0", style=solid];
"2 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/NNCFConv2d[projection]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "3 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/NNCFConv2d[projection]/conv2d_0"  [label="(128, 3, 4, 4) \n0 -> 1", style=solid];
"3 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/NNCFConv2d[projection]/conv2d_0" -> "4 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/flatten_0"  [label="(16, 128, 56, 56) \n0 -> 0", style=solid];
"4 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/flatten_0" -> "5 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/transpose_0"  [label="(16, 128, 3136) \n0 -> 0", style=solid];
"5 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/SwinPatchEmbeddings[patch_embeddings]/transpose_0" -> "6 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"6 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/NNCFLayerNorm[norm]/layer_norm_0" -> "7 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"7 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0" -> "8 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"7 SwinForImageClassification/SwinModel[swin]/SwinEmbeddings[embeddings]/Dropout[dropout]/dropout_0" -> "67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"8 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "9 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"9 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "10 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"10 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "11 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"11 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "12 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"12 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"13 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "14 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"14 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "15 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"15 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"16 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"17 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "18 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"18 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "21 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"19 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "20 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"20 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"21 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"22 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "23 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"23 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"24 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "25 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"25 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "28 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"26 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "27 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"27 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"28 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"29 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "30 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"30 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "31 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"31 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "32 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"32 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "43 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"33 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "34 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"34 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "37 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"35 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "36 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"36 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"37 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"38 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "39 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"39 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "40 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"40 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "49 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 32) \n0 -> 1", style=solid];
"41 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "42 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"42 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "44 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"43 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "44 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 32, 49) \n0 -> 1", style=solid];
"44 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "45 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"45 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "46 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"46 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"47 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "48 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"48 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "49 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"49 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "50 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"50 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "51 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"51 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "52 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"52 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "53 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"53 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"54 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "55 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"55 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "58 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"56 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "57 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"57 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"58 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"59 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "60 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"60 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "61 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"61 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "62 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"62 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "63 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"63 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "64 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"64 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "65 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"65 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "66 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"66 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "68 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"67 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"68 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "69 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"69 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"70 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "71 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 128) \n0 -> 0", style=solid];
"71 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "74 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 128) \n0 -> 0", style=solid];
"72 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "73 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"73 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"74 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(512, 128) \n0 -> 1", style=solid];
"75 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "76 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"76 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "77 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"77 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"78 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "79 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 512) \n0 -> 0", style=solid];
"79 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "82 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 512) \n0 -> 0", style=solid];
"80 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "81 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"81 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"82 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128, 512) \n0 -> 1", style=solid];
"83 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "84 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"84 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "86 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"85 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"86 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "87 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"87 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"88 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "89 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"89 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "90 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"90 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "91 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"91 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "92 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"92 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "93 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"93 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "94 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"94 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"95 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"96 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "97 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"97 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"98 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "99 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"99 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "102 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"102 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "120 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "122 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"112 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"114 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 32) \n0 -> 1", style=solid];
"120 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "121 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"121 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"122 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(1024, 4, 32, 49) \n0 -> 1", style=solid];
"123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "124 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"124 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "125 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"125 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "126 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"126 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 64, 4, 49, 49) \n0 -> 0", style=solid];
"127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 64, 4, 49, 49) \n0 -> 0", style=solid];
"128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(1024, 4, 49, 49) \n0 -> 0", style=solid];
"131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(1024, 4, 49, 32) \n0 -> 0", style=solid];
"133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(1024, 49, 4, 32) \n0 -> 0", style=solid];
"135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"136 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 128) \n0 -> 0", style=solid];
"137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 128) \n0 -> 0", style=solid];
"138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128, 128) \n0 -> 1", style=solid];
"141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "143 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(1024, 49, 128) \n0 -> 0", style=solid];
"143 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(1024, 7, 7, 128) \n0 -> 0", style=solid];
"144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 8, 8, 7, 7, 128) \n0 -> 0", style=solid];
"145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 8, 7, 8, 7, 128) \n0 -> 0", style=solid];
"147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "149 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"149 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "151 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"151 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"153 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 128) \n0 -> 0", style=solid];
"154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 128) \n0 -> 0", style=solid];
"155 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(512, 128) \n0 -> 1", style=solid];
"158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 3136, 512) \n0 -> 0", style=solid];
"161 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(128, 512) \n0 -> 0", style=solid];
"162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(128, 512) \n0 -> 0", style=solid];
"163 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(128,) \n0 -> 0", style=solid];
"164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128,) \n0 -> 2", style=solid];
"165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(128, 512) \n0 -> 1", style=solid];
"166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 3136, 128) \n0 -> 1", style=solid];
"168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0"  [label="(16, 3136, 128) \n0 -> 0", style=solid];
"169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_0" -> "173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 56, 56, 128) \n0 -> 0", style=solid];
"170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___0" -> "174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 0", style=solid];
"171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___1" -> "174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 1", style=solid];
"172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___2" -> "174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 2", style=solid];
"173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/__getitem___3" -> "174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 28, 28, 128) \n0 -> 3", style=solid];
"174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/cat_0" -> "175 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_1"  [label="(16, 28, 28, 512) \n0 -> 0", style=solid];
"175 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/view_1" -> "176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 784, 512) \n0 -> 0", style=solid];
"176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 512) \n0 -> 0", style=solid];
"177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0" -> "179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 784, 512) \n0 -> 0", style=solid];
"178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(256, 512) \n0 -> 1", style=solid];
"179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[0]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "182 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"182 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "184 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"184 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"189 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"191 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"196 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "203 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"203 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"205 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"207 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "221 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 32) \n0 -> 1", style=solid];
"213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 32, 49) \n0 -> 1", style=solid];
"216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "219 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"219 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "221 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"221 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "222 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"222 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "223 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"223 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"226 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "227 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"227 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "230 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"228 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "229 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"229 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"230 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "233 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"233 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "235 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"235 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"242 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 256) \n0 -> 0", style=solid];
"243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 256) \n0 -> 0", style=solid];
"244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "245 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"245 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(1024, 256) \n0 -> 1", style=solid];
"247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 1024) \n0 -> 0", style=solid];
"251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "254 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 1024) \n0 -> 0", style=solid];
"252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"254 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 1024) \n0 -> 1", style=solid];
"255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "261 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"261 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"268 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"270 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"275 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"277 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "285 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"285 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"286 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "287 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"287 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 32) \n0 -> 1", style=solid];
"292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(256, 8, 32, 49) \n0 -> 1", style=solid];
"295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 16, 8, 49, 49) \n0 -> 0", style=solid];
"299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 16, 8, 49, 49) \n0 -> 0", style=solid];
"300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "302 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"302 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(256, 8, 49, 49) \n0 -> 0", style=solid];
"303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "304 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"304 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(256, 8, 49, 32) \n0 -> 0", style=solid];
"305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(256, 49, 8, 32) \n0 -> 0", style=solid];
"307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"308 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 256) \n0 -> 0", style=solid];
"309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "312 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 256) \n0 -> 0", style=solid];
"310 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"312 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 256) \n0 -> 1", style=solid];
"313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(256, 49, 256) \n0 -> 0", style=solid];
"315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(256, 7, 7, 256) \n0 -> 0", style=solid];
"316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 4, 4, 7, 7, 256) \n0 -> 0", style=solid];
"317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 4, 7, 4, 7, 256) \n0 -> 0", style=solid];
"319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"325 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 256) \n0 -> 0", style=solid];
"326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "329 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 256) \n0 -> 0", style=solid];
"327 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"329 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(1024, 256) \n0 -> 1", style=solid];
"330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 784, 1024) \n0 -> 0", style=solid];
"333 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "334 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(256, 1024) \n0 -> 0", style=solid];
"334 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(256, 1024) \n0 -> 0", style=solid];
"335 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "336 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(256,) \n0 -> 0", style=solid];
"336 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256,) \n0 -> 2", style=solid];
"337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(256, 1024) \n0 -> 1", style=solid];
"338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 784, 256) \n0 -> 1", style=solid];
"340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0"  [label="(16, 784, 256) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "343 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_0" -> "345 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 28, 28, 256) \n0 -> 0", style=solid];
"342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___0" -> "346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 0", style=solid];
"343 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___1" -> "346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 1", style=solid];
"344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___2" -> "346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 2", style=solid];
"345 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/__getitem___3" -> "346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 14, 14, 256) \n0 -> 3", style=solid];
"346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/cat_0" -> "347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_1"  [label="(16, 14, 14, 1024) \n0 -> 0", style=solid];
"347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/view_1" -> "348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 196, 1024) \n0 -> 0", style=solid];
"348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 1024) \n0 -> 0", style=solid];
"349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0" -> "351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 196, 1024) \n0 -> 0", style=solid];
"350 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(512, 1024) \n0 -> 1", style=solid];
"351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[1]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "382 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"361 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "365 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"363 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "364 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"364 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"365 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"368 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"370 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "371 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"371 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "376 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"376 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "378 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"378 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "381 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"379 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "380 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"380 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "382 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"381 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "382 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"382 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "383 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"383 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "384 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"384 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "386 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"386 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "401 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"401 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "408 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"408 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"414 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "415 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"415 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"422 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "423 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"423 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "426 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"424 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "425 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"425 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"426 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "428 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"428 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "430 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"430 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "431 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"431 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "432 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"432 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_0" -> "434 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"434 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/AsymmetricQuantizer/asymmetric_quantize_0" -> "435 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"435 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"440 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "465 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"465 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "471 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"471 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "477 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"477 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"480 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "481 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"481 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"482 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "486 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"486 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "488 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"488 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "489 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"489 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "490 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"490 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "491 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"491 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/roll_1" -> "493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "495 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"495 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "496 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"496 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"497 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "498 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"498 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "501 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"499 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"501 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "503 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"503 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "504 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"504 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"505 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "506 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"506 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"507 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "508 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"508 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "511 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"511 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "513 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"513 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "514 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"514 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "515 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"515 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_0" -> "516 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"516 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/pad_0" -> "517 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"517 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_1" -> "518 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"518 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_0" -> "519 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"519 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_0" -> "520 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"520 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_2" -> "521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "527 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_3" -> "543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"522 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "523 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"523 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "526 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"524 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "525 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"525 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "527 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"526 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "527 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"527 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "528 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"528 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"529 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "533 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"531 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "532 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"532 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"533 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "535 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"535 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "536 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"536 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "537 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"537 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"540 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "541 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"541 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"559 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"561 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_4" -> "567 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"567 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_5" -> "568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/permute_1" -> "569 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"569 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/contiguous_1" -> "570 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"570 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_6" -> "571 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"571 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/view_7" -> "572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0" -> "573 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___0" -> "590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"573 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "574 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"574 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"575 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "576 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"576 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"577 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "578 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"578 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "581 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"581 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "582 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"582 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"583 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "584 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"584 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"585 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "586 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"586 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1" -> "591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[2]/__add___1" -> "655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_0" -> "593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/pad_0" -> "594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_0" -> "595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/AsymmetricQuantizer/asymmetric_quantize_0" -> "596 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"596 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_1" -> "597 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"597 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_0" -> "598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_0" -> "599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_2" -> "600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_3" -> "622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"601 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"603 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "607 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"607 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "625 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "609 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"609 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"610 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "615 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"615 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "627 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"617 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "618 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"618 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"619 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "620 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"620 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "623 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"623 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "624 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"624 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"625 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "626 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"626 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "628 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"627 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "628 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"628 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "630 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"630 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "631 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"631 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "632 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"632 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "633 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"633 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "634 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"634 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "635 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"635 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"641 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"643 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_4" -> "649 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"649 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_5" -> "650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/permute_1" -> "651 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"651 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/contiguous_1" -> "652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_6" -> "653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/roll_1" -> "654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/view_7" -> "655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0" -> "656 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___0" -> "673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
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"658 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"660 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"666 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "667 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"667 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"668 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "669 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"669 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1" -> "674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[3]/__add___1" -> "733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_0" -> "677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/pad_0" -> "678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_1" -> "679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_0" -> "680 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"680 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_0" -> "681 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"681 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_2" -> "682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_3" -> "704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"683 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "684 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"684 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"685 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "686 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"686 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"690 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"692 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"701 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "702 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"702 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "712 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"712 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "714 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"714 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "718 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"718 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "719 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"719 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"720 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "721 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"721 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"722 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "726 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"726 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_4" -> "728 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"728 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_5" -> "729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/permute_1" -> "730 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"730 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/contiguous_1" -> "731 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"731 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_6" -> "732 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"732 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/view_7" -> "733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___0" -> "734 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___0" -> "751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"734 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "735 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"735 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"736 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "737 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"737 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"738 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"744 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"746 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___1" -> "752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[4]/__add___1" -> "816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_0" -> "754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/pad_0" -> "755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_0" -> "756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/AsymmetricQuantizer/asymmetric_quantize_0" -> "757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_1" -> "758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_0" -> "759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_0" -> "760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_2" -> "761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_3" -> "767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_3" -> "774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_3" -> "783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"762 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"764 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "768 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"768 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "786 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"769 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "770 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"770 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "775 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"775 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "776 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"776 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "788 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"778 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "779 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"779 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"780 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "781 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"781 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "784 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"784 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "785 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"785 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "797 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"786 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "787 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"787 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "789 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"788 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "789 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"789 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "791 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"791 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "792 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"792 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "793 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"793 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "794 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"794 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "795 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"795 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "796 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"796 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "797 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"797 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "799 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"799 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"802 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "803 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"803 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"804 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "805 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"805 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "808 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"808 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "809 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"809 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_4" -> "810 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"810 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_5" -> "811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/permute_1" -> "812 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"812 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/contiguous_1" -> "813 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"813 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_6" -> "814 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"814 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/roll_1" -> "815 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"815 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/view_7" -> "816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0" -> "817 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___0" -> "834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"817 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"819 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "823 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"821 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "822 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"822 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"823 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "825 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"825 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"827 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "828 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"828 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "831 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"829 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "830 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"830 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"831 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1" -> "835 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[5]/__add___1" -> "894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"835 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "836 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"836 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "837 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"837 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_0" -> "838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/pad_0" -> "839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_1" -> "840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_0" -> "841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_0" -> "842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_2" -> "843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_3" -> "849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_3" -> "856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_3" -> "865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"844 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"846 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "870 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"870 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "874 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"874 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "877 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"877 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "880 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"880 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"881 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "882 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"882 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"883 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "884 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"884 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_4" -> "889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_5" -> "890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/permute_1" -> "891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/contiguous_1" -> "892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_6" -> "893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/view_7" -> "894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0" -> "895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___0" -> "912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"897 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"899 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___1" -> "913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[6]/__add___1" -> "977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_0" -> "915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/pad_0" -> "916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_0" -> "917 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"917 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/AsymmetricQuantizer/asymmetric_quantize_0" -> "918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_1" -> "919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_0" -> "920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_0" -> "921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_2" -> "922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_3" -> "928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_3" -> "935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_3" -> "944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "929 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"929 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"930 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"932 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"968 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "969 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"969 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "970 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"970 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_4" -> "971 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"971 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_5" -> "972 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"972 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/permute_1" -> "973 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"973 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/contiguous_1" -> "974 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"974 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_6" -> "975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"975 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/roll_1" -> "976 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"976 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/view_7" -> "977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0" -> "978 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"977 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___0" -> "995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"978 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "979 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"979 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"980 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "981 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"981 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "984 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"982 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"983 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"984 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"985 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "986 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"986 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "987 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"987 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"988 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "989 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"989 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "992 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"990 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "991 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"991 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"992 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"993 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "994 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"994 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1" -> "996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"995 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[7]/__add___1" -> "1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"996 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "997 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"997 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "998 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"998 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_0" -> "999 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"999 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/pad_0" -> "1000 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1000 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_1" -> "1001 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1001 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_0" -> "1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1002 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_0" -> "1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1003 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_2" -> "1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1004 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_3" -> "1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1005 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1006 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1006 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1009 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1007 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1008 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1009 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1010 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1011 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1029 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1012 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1013 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1013 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1016 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1014 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1015 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1015 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1016 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1017 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1018 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1018 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1019 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1020 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1020 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1031 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1021 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1022 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1022 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1025 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1023 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1024 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1024 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1025 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1026 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1027 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1027 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1028 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1028 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1029 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1030 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1031 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1032 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1033 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1033 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1034 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1034 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1035 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1036 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1036 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1037 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1038 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1038 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1039 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1039 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1040 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1040 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1041 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1041 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1042 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1043 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1043 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1046 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1044 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1045 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1045 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1046 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1047 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1048 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1048 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1049 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1049 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_4" -> "1050 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1050 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_5" -> "1051 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1051 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/permute_1" -> "1052 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1052 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/contiguous_1" -> "1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1053 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_6" -> "1054 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1054 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/view_7" -> "1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0" -> "1056 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1055 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___0" -> "1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1056 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1057 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1057 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1058 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1059 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1059 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1062 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1060 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1061 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1062 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1063 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1064 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1064 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1065 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1065 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1066 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1067 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1067 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1070 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1068 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1069 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1069 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1070 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1071 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1072 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1" -> "1074 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1073 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[8]/__add___1" -> "1138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1074 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1075 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1075 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_0" -> "1076 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1076 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/pad_0" -> "1077 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1077 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_0" -> "1078 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1078 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1079 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1079 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_1" -> "1080 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1080 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_0" -> "1081 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1081 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_0" -> "1082 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1082 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_2" -> "1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "1096 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1083 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_3" -> "1105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1084 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1085 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1085 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1088 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1086 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1087 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1087 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1088 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1089 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1090 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1090 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1091 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1092 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1092 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1095 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1093 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1094 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1094 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1096 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1095 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1096 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1096 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1097 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1097 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1098 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1098 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1099 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1099 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1100 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1101 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1102 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1103 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1104 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1105 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1106 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1107 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1108 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1109 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1110 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1111 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1112 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1112 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1113 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1114 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1114 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1115 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "1116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1116 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "1117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1117 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1118 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1119 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1120 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1120 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1121 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1121 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1122 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1122 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1123 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "1129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1124 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1125 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1125 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1126 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1127 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1128 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1129 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1130 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1131 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_4" -> "1132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1132 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_5" -> "1133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1133 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/permute_1" -> "1134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1134 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/contiguous_1" -> "1135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1135 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_6" -> "1136 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1136 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/roll_1" -> "1137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1137 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/view_7" -> "1138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0" -> "1139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1138 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___0" -> "1156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1139 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1140 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1141 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1142 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1143 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1144 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1145 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1146 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1147 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1148 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1149 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1150 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1153 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1151 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1152 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1153 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1154 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1155 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1155 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1" -> "1157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1156 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[9]/__add___1" -> "1216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1157 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1158 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1159 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_0" -> "1160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1160 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/pad_0" -> "1161 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1161 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_1" -> "1162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1162 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_0" -> "1163 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1163 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_0" -> "1164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1164 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_2" -> "1165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "1171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "1178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1165 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_3" -> "1187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1166 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1167 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1168 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1169 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1170 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1171 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1172 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1173 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1174 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1175 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1176 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1177 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1178 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1179 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1180 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1181 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1182 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1183 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1184 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1185 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1186 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1187 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1188 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1189 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1189 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1190 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1191 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1191 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1192 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1193 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1194 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1195 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1196 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1196 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1197 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1198 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1199 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1200 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1201 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1202 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1203 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1204 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1207 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1205 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1206 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1207 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1208 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1209 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1210 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_4" -> "1211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1211 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_5" -> "1212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1212 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/permute_1" -> "1213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1213 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/contiguous_1" -> "1214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1214 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_6" -> "1215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1215 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/view_7" -> "1216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0" -> "1217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1216 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___0" -> "1234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1217 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1218 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1219 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1220 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1223 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1221 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1222 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1222 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1223 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1224 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1225 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1226 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1226 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1227 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1228 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1228 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1229 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1230 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1230 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1231 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1232 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1233 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1233 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1" -> "1235 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1234 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[10]/__add___1" -> "1299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1235 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1236 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_0" -> "1237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1237 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/pad_0" -> "1238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1238 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_0" -> "1239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1239 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1240 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_1" -> "1241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1241 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_0" -> "1242 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1242 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_0" -> "1243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1243 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_2" -> "1244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "1250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "1257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1244 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_3" -> "1266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1245 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1246 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1247 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1248 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1249 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1250 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1251 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1252 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1253 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1254 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1255 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1256 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1257 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1258 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1259 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1260 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1261 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1262 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1263 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1264 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1265 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1266 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1267 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1268 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1268 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1269 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1270 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1270 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1271 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1272 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1273 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1274 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1275 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1275 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1276 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "1277 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1277 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "1278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1278 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1279 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1280 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1281 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1282 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1283 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1284 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "1290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1285 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1286 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1286 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1287 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1288 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1289 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1290 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1291 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1292 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_4" -> "1293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1293 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_5" -> "1294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1294 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/permute_1" -> "1295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1295 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/contiguous_1" -> "1296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1296 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_6" -> "1297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1297 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/roll_1" -> "1298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1298 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/view_7" -> "1299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0" -> "1300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1299 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___0" -> "1317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1300 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1301 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1302 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1303 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1304 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1305 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1306 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1307 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1308 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1308 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1309 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1310 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1311 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1312 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1313 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1314 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1315 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1316 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___1" -> "1318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1317 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[11]/__add___1" -> "1377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1318 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1319 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1320 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_0" -> "1321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1321 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/pad_0" -> "1322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1322 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_1" -> "1323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1323 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_0" -> "1324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1324 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_0" -> "1325 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1325 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_2" -> "1326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "1332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "1339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1326 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_3" -> "1348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1327 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1328 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1329 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1330 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1331 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1332 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1333 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1333 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1334 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1335 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1335 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1336 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1337 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1338 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1339 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1340 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1341 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1342 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1343 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1344 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1345 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1346 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1347 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1348 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1349 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1350 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1350 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1351 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1352 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1353 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1354 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1355 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1356 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1357 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1358 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1359 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1360 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1361 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1361 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1362 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1363 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1363 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1364 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1365 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1365 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1368 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1366 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1367 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1368 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1369 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1370 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1370 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1371 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1371 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_4" -> "1372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1372 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_5" -> "1373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1373 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/permute_1" -> "1374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1374 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/contiguous_1" -> "1375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1375 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_6" -> "1376 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1376 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/view_7" -> "1377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0" -> "1378 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1377 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___0" -> "1395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1378 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1379 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1379 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1380 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1381 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1381 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1384 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1382 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1383 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1383 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1384 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1385 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1386 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1386 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1387 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1388 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1389 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1390 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1391 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1392 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1393 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1394 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1" -> "1396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1395 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[12]/__add___1" -> "1460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1396 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1397 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_0" -> "1398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1398 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/pad_0" -> "1399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1399 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/roll_0" -> "1400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1400 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1401 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1401 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_1" -> "1402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1402 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_0" -> "1403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1403 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_0" -> "1404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1404 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_2" -> "1405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_3" -> "1411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_3" -> "1418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1405 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_3" -> "1427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1406 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1407 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1408 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1409 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1410 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1411 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1412 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1430 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1413 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1414 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1414 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1415 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1416 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1417 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1418 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1419 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1420 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1421 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1432 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1422 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1423 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1423 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1426 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1424 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1425 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1425 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1426 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1427 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1428 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1428 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1429 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1430 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1431 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1431 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1432 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1433 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1434 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1434 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1435 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1435 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1436 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1437 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "1438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1438 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "1439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1439 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1440 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1440 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1441 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1442 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1443 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1444 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1445 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "1451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1446 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1447 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1448 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1449 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1450 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1451 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1452 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1453 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_4" -> "1454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1454 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_5" -> "1455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1455 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/permute_1" -> "1456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1456 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/contiguous_1" -> "1457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1457 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_6" -> "1458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1458 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/roll_1" -> "1459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1459 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/view_7" -> "1460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0" -> "1461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1460 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___0" -> "1478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1461 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1462 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1463 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1464 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1465 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1466 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1467 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1468 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1469 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1470 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1471 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1472 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1473 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1474 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1475 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1476 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1477 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1477 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___1" -> "1479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1478 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[13]/__add___1" -> "1538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1479 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1480 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1480 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1481 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1481 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_0" -> "1482 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1482 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/pad_0" -> "1483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1483 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_1" -> "1484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1484 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_0" -> "1485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1485 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_0" -> "1486 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1486 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_2" -> "1487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_3" -> "1493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_3" -> "1500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1487 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_3" -> "1509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1488 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1489 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1489 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1490 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1491 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1491 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1492 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1493 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1494 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1495 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1496 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1496 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1499 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1497 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1498 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1498 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1499 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1500 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1501 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1501 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1502 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1503 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1503 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1514 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1504 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1505 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1505 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1508 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1506 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1507 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1507 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1508 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1509 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1510 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1511 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1511 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1520 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1512 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1513 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1513 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1515 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1514 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1515 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1515 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1516 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1516 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1517 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1517 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1518 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1518 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1519 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1519 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1520 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1520 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1521 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1522 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1522 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1523 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1523 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1524 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1524 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1525 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1526 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1526 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1529 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1527 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1528 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1528 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1529 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1530 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1531 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1531 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1532 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1532 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_4" -> "1533 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1533 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_5" -> "1534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1534 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/permute_1" -> "1535 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1535 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/contiguous_1" -> "1536 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1536 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_6" -> "1537 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1537 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/view_7" -> "1538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0" -> "1539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1538 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___0" -> "1556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1539 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1540 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1540 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1541 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1542 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1543 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1544 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1545 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1546 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1547 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1548 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1549 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1550 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1551 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1552 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1553 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1554 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1555 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1" -> "1557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1556 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[14]/__add___1" -> "1621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1557 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1558 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_0" -> "1559 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1559 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/pad_0" -> "1560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1560 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_0" -> "1561 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1561 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1562 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_1" -> "1563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1563 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_0" -> "1564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1564 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_0" -> "1565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1565 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_2" -> "1566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "1572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "1579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1566 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_3" -> "1588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1567 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1568 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1571 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1569 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1570 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1570 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1571 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1572 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1573 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1573 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1574 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1575 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1575 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1578 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1576 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1577 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1577 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1578 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1579 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1580 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1581 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1581 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1582 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1582 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1583 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1584 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1584 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1585 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1586 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1586 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1587 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1588 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1589 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1590 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1591 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1592 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1593 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1594 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1595 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1596 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1596 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1597 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1597 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1598 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "1599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1599 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "1600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1600 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1601 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1601 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1602 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1603 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1603 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1604 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1605 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1606 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "1612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1607 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1608 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1609 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1610 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1610 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1611 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1612 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1613 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1614 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_4" -> "1615 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1615 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_5" -> "1616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1616 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/permute_1" -> "1617 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1617 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/contiguous_1" -> "1618 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1618 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_6" -> "1619 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1619 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/roll_1" -> "1620 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1620 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/view_7" -> "1621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0" -> "1622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1621 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___0" -> "1639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1622 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1623 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1623 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1624 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1625 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1625 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1628 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1626 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1627 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1627 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1628 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1629 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1630 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1630 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1631 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1631 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1632 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1633 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1633 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1634 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1635 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1635 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1636 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1637 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1638 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1" -> "1640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1639 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[15]/__add___1" -> "1699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1640 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1641 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1641 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1642 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_0" -> "1643 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1643 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/pad_0" -> "1644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1644 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_1" -> "1645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1645 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_0" -> "1646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1646 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_0" -> "1647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1647 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_2" -> "1648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "1654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "1661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1648 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_3" -> "1670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1649 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1650 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1651 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1652 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1653 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1654 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1655 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1656 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1657 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1657 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1660 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1658 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1659 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1660 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1661 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1662 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1663 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1664 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1665 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1666 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1666 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1669 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1667 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1668 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1668 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1669 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1670 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1671 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1672 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1681 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1673 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1674 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1675 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1676 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1677 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1678 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1679 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1680 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1680 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1681 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1681 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1682 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1683 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1683 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1684 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1684 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1685 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1685 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1686 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1687 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1690 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1688 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1689 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1690 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1691 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1692 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1692 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1693 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_4" -> "1694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1694 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_5" -> "1695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1695 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/permute_1" -> "1696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1696 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/contiguous_1" -> "1697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1697 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_6" -> "1698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1698 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/view_7" -> "1699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0" -> "1700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1699 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___0" -> "1717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1700 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1701 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1701 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1702 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1703 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1704 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1705 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1706 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1707 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1708 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1709 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1710 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1711 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1714 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1712 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1713 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1714 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1715 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1716 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1" -> "1718 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1717 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[16]/__add___1" -> "1782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1718 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1719 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1719 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_0" -> "1720 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/pad_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1720 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/pad_0" -> "1721 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1721 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_0" -> "1722 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1722 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1723 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_1" -> "1724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_0"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1724 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_0" -> "1725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_0"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1725 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_0" -> "1726 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_2"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1726 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_2" -> "1727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "1733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "1740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1727 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_3" -> "1749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1728 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1729 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1732 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1730 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1731 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1731 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1732 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1733 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1734 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1734 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1735 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1736 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1736 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1737 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1738 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1738 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1739 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1740 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1741 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1742 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1743 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1744 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1745 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1746 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1747 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1748 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1749 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1750 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1751 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 32) \n0 -> 1", style=solid];
"1752 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1753 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1754 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(64, 16, 32, 49) \n0 -> 1", style=solid];
"1755 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1756 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1757 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1758 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1759 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/__add___1" -> "1760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_4"  [label="(16, 4, 16, 49, 49) \n0 -> 0", style=solid];
"1760 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_4" -> "1761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1761 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1762 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1762 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(64, 16, 49, 49) \n0 -> 0", style=solid];
"1763 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1764 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1764 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(64, 16, 49, 32) \n0 -> 0", style=solid];
"1765 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1766 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_5"  [label="(64, 49, 16, 32) \n0 -> 0", style=solid];
"1767 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfAttention[self]/view_5" -> "1773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1768 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1769 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1769 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 512) \n0 -> 0", style=solid];
"1770 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1771 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1772 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 512) \n0 -> 1", style=solid];
"1773 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1774 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1775 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_4"  [label="(64, 49, 512) \n0 -> 0", style=solid];
"1775 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_4" -> "1776 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_5"  [label="(64, 7, 7, 512) \n0 -> 0", style=solid];
"1776 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_5" -> "1777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_1"  [label="(16, 2, 2, 7, 7, 512) \n0 -> 0", style=solid];
"1777 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/permute_1" -> "1778 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_1"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1778 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/contiguous_1" -> "1779 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_6"  [label="(16, 2, 7, 2, 7, 512) \n0 -> 0", style=solid];
"1779 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_6" -> "1780 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1780 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/roll_1" -> "1781 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_7"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1781 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/view_7" -> "1782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0" -> "1783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1782 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___0" -> "1800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1783 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1784 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1784 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1785 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1786 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1786 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1789 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(2048, 512) \n0 -> 0", style=solid];
"1787 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1788 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(2048,) \n0 -> 0", style=solid];
"1788 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048,) \n0 -> 2", style=solid];
"1789 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(2048, 512) \n0 -> 1", style=solid];
"1790 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1791 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1791 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1792 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1792 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 196, 2048) \n0 -> 0", style=solid];
"1793 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1794 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1794 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1797 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(512, 2048) \n0 -> 0", style=solid];
"1795 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1796 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(512,) \n0 -> 0", style=solid];
"1796 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512,) \n0 -> 2", style=solid];
"1797 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(512, 2048) \n0 -> 1", style=solid];
"1798 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1799 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1799 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1"  [label="(16, 196, 512) \n0 -> 1", style=solid];
"1800 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/ModuleList[blocks]/SwinLayer[17]/__add___1" -> "1801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0"  [label="(16, 196, 512) \n0 -> 0", style=solid];
"1801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1802 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___0"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1803 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___1"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1804 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___2"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1801 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_0" -> "1805 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___3"  [label="(16, 14, 14, 512) \n0 -> 0", style=solid];
"1802 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___0" -> "1806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 0", style=solid];
"1803 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___1" -> "1806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 1", style=solid];
"1804 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___2" -> "1806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 2", style=solid];
"1805 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/__getitem___3" -> "1806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0"  [label="(16, 7, 7, 512) \n0 -> 3", style=solid];
"1806 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/cat_0" -> "1807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_1"  [label="(16, 7, 7, 2048) \n0 -> 0", style=solid];
"1807 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/view_1" -> "1808 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0"  [label="(16, 49, 2048) \n0 -> 0", style=solid];
"1808 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/layer_norm_0" -> "1809 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 2048) \n0 -> 0", style=solid];
"1809 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLayerNorm[norm]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(16, 49, 2048) \n0 -> 0", style=solid];
"1810 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0"  [label="(1024, 2048) \n0 -> 1", style=solid];
"1811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "1812 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1811 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[2]/SwinPatchMerging[downsample]/NNCFLinear[reduction]/linear_0" -> "1871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1812 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1813 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1813 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1814 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1814 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_0" -> "1815 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/pad_0"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1815 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/pad_0" -> "1816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_1"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1816 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_1" -> "1817 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_0"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1817 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_0" -> "1818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_0"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1818 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_0" -> "1819 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_2"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1819 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_2" -> "1820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1820 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_3" -> "1842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1821 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1822 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1822 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1825 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1823 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1824 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1825 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1826 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1827 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1827 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1828 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1829 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1829 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1830 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1831 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1831 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1832 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1833 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1834 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1835 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1835 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1836 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1836 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1837 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1838 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1839 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1840 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1841 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1842 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1843 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1844 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1844 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 32) \n0 -> 1", style=solid];
"1845 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1846 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1846 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1847 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 32, 49) \n0 -> 1", style=solid];
"1848 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1849 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1850 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1851 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1852 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1853 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1854 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1855 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1856 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1857 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1858 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1859 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1860 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1861 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1862 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1863 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1864 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_4"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1865 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_4" -> "1866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_5"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1866 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_5" -> "1867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_1"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1867 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/permute_1" -> "1868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_1"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1868 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/contiguous_1" -> "1869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_6"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1869 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_6" -> "1870 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_7"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1870 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/view_7" -> "1871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "1872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1871 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___0" -> "1889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1872 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1873 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1874 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(4096, 1024) \n0 -> 0", style=solid];
"1875 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(4096, 1024) \n0 -> 0", style=solid];
"1876 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1877 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(4096,) \n0 -> 0", style=solid];
"1877 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096,) \n0 -> 2", style=solid];
"1878 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"1879 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1880 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1880 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1881 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1881 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1882 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1883 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 4096) \n0 -> 0", style=solid];
"1883 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 4096) \n0 -> 0", style=solid];
"1884 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1885 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1886 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"1887 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1888 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "1890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1889 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[0]/__add___1" -> "1949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1890 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/layer_norm_0" -> "1891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1891 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_before]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1892 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_0" -> "1893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/pad_0"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1893 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/pad_0" -> "1894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_1"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1894 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_1" -> "1895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_0"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1895 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_0" -> "1896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_0"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1896 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_0" -> "1897 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_2"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1897 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_2" -> "1898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1898 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_3" -> "1920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1899 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1900 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1901 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1902 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1903 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1904 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/linear_0" -> "1905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1905 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[query]/SymmetricQuantizer/symmetric_quantize_0" -> "1923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1906 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1907 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1908 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1909 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1910 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1911 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/linear_0" -> "1912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1912 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[key]/SymmetricQuantizer/symmetric_quantize_0" -> "1913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1913 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_0" -> "1914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1914 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_0" -> "1925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1915 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1916 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1917 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1918 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1919 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1920 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/NNCFLinear[value]/linear_0" -> "1921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1921 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_1" -> "1922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1922 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_1" -> "1931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 32) \n0 -> 1", style=solid];
"1923 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_2" -> "1924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1924 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_2" -> "1926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1925 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/transpose_0" -> "1926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0"  [label="(16, 32, 32, 49) \n0 -> 1", style=solid];
"1926 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_0" -> "1927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1927 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__truediv___0" -> "1928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1928 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/__add___0" -> "1929 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1929 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/softmax_0" -> "1930 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1930 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/Dropout[dropout]/dropout_0" -> "1931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1"  [label="(16, 32, 49, 49) \n0 -> 0", style=solid];
"1931 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/matmul_1" -> "1932 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1932 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3"  [label="(16, 32, 49, 32) \n0 -> 0", style=solid];
"1933 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/permute_3" -> "1934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1934 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/contiguous_0" -> "1935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3"  [label="(16, 49, 32, 32) \n0 -> 0", style=solid];
"1935 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfAttention[self]/view_3" -> "1941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1936 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1937 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 1024) \n0 -> 0", style=solid];
"1938 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1939 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1940 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 1024) \n0 -> 1", style=solid];
"1941 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/NNCFLinear[dense]/linear_0" -> "1942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1942 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinAttention[attention]/SwinSelfOutput[output]/Dropout[dropout]/dropout_0" -> "1943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_4"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1943 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_4" -> "1944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_5"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1944 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_5" -> "1945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_1"  [label="(16, 1, 1, 7, 7, 1024) \n0 -> 0", style=solid];
"1945 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/permute_1" -> "1946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_1"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1946 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/contiguous_1" -> "1947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_6"  [label="(16, 1, 7, 1, 7, 1024) \n0 -> 0", style=solid];
"1947 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_6" -> "1948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_7"  [label="(16, 7, 7, 1024) \n0 -> 0", style=solid];
"1948 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/view_7" -> "1949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "1950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1949 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___0" -> "1967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1950 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/layer_norm_0" -> "1951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1951 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/NNCFLayerNorm[layernorm_after]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1952 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(4096, 1024) \n0 -> 0", style=solid];
"1953 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(4096, 1024) \n0 -> 0", style=solid];
"1954 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(4096,) \n0 -> 0", style=solid];
"1955 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096,) \n0 -> 2", style=solid];
"1956 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0"  [label="(4096, 1024) \n0 -> 1", style=solid];
"1957 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/NNCFLinear[dense]/linear_0" -> "1958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1958 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/gelu_0" -> "1959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1959 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinIntermediate[intermediate]/GELUActivation[intermediate_act_fn]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(16, 49, 4096) \n0 -> 0", style=solid];
"1960 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_0" -> "1961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0"  [label="(1024, 4096) \n0 -> 0", style=solid];
"1961 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_0" -> "1964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0"  [label="(1024, 4096) \n0 -> 0", style=solid];
"1962 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/binary_mask_by_threshold_1" -> "1963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1"  [label="(1024,) \n0 -> 0", style=solid];
"1963 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeightAndBias[0]/MovementSparsifier[op]/apply_binary_mask_1" -> "1965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024,) \n0 -> 2", style=solid];
"1964 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/ModuleDict[pre_ops]/UpdateWeight[1]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0"  [label="(1024, 4096) \n0 -> 1", style=solid];
"1965 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/NNCFLinear[dense]/linear_0" -> "1966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1966 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/SwinOutput[output]/Dropout[dropout]/dropout_0" -> "1967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1"  [label="(16, 49, 1024) \n0 -> 1", style=solid];
"1967 SwinForImageClassification/SwinModel[swin]/SwinEncoder[encoder]/ModuleList[layers]/SwinStage[3]/ModuleList[blocks]/SwinLayer[1]/__add___1" -> "1968 SwinForImageClassification/SwinModel[swin]/NNCFLayerNorm[layernorm]/layer_norm_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1968 SwinForImageClassification/SwinModel[swin]/NNCFLayerNorm[layernorm]/layer_norm_0" -> "1969 SwinForImageClassification/SwinModel[swin]/transpose_0"  [label="(16, 49, 1024) \n0 -> 0", style=solid];
"1969 SwinForImageClassification/SwinModel[swin]/transpose_0" -> "1970 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/adaptive_avg_pool1d_0"  [label="(16, 1024, 49) \n0 -> 0", style=solid];
"1970 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/adaptive_avg_pool1d_0" -> "1971 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/AsymmetricQuantizer/asymmetric_quantize_0"  [label="(16, 1024, 1) \n0 -> 0", style=solid];
"1971 SwinForImageClassification/SwinModel[swin]/AdaptiveAvgPool1d[pooler]/AsymmetricQuantizer/asymmetric_quantize_0" -> "1972 SwinForImageClassification/SwinModel[swin]/flatten_0"  [label="(16, 1024, 1) \n0 -> 0", style=solid];
"1972 SwinForImageClassification/SwinModel[swin]/flatten_0" -> "1974 SwinForImageClassification/NNCFLinear[classifier]/linear_0"  [label="(16, 1024) \n0 -> 0", style=solid];
"1973 SwinForImageClassification/NNCFLinear[classifier]/ModuleDict[pre_ops]/UpdateWeight[0]/SymmetricQuantizer[op]/symmetric_quantize_0" -> "1974 SwinForImageClassification/NNCFLinear[classifier]/linear_0"  [label="(101, 1024) \n0 -> 1", style=solid];
"1974 SwinForImageClassification/NNCFLinear[classifier]/linear_0" -> "1975 /nncf_model_output_0"  [label="(16, 101) \n0 -> 0", style=solid];
}