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FusionPassD1Ev_ZN4amct19GroupConvFusionPassD1Ev_ZN4amct22BatchnormAddFusionPassD1Ev_ZN4amct22BatchnormMulFusionPassD1Ev_ZN4amct11CalibrationERN2ge5GraphERKSsRKSt3mapINS0_12AscendStringES6_St4lessIS6_ESaISt4pairIKS6_S6_EEE_ZN4amct14InsertIfmrPassC1Ev_ZN4amct14InsertIfmrPass10GetOutputsEv_ZN2ge5Graph10SetOutputsERKSt6vectorINS_8OperatorESaIS2_EE_ZNSs6assignEPKcm_ZNK4amct7AmctLog14GetRealLogPathEv_ZNK4amct7AmctLog11GetLevelStrEv_ZN4amct15GraphBuildAloneC1Ev_ZNK4amct15GraphBuildAlone22GraphBuildInSubprocessERN2ge5GraphERKNS_15GraphBuildParamERNS_11BuildResultE_ZN4amct14InsertIfmrPass9GetResultEPKhmRSt3mapISsSt6vectorIfSaIfEESt4lessISsESaISt4pairIKSsS6_EEERS3_ISsS4_IaSaIaEES8_SaIS9_ISA_SG_EEE_ZN4amct15GraphBuildAloneD1Ev_ZN4amct14InsertIfmrPassD1Ev_ZNK4amct14InsertIfmrPass17RecordScaleOffsetERKSt3mapISsSt6vectorIfSaIfEESt4lessISsESaISt4pairIKSsS4_EEERKS1_ISsS2_IaSaIaEES6_SaIS7_IS8_SF_EEE_ZNK4amct7AmctLog8GetLevelEvremove_ZN4amct19GenerateDeployGraphERN2ge5GraphE_ZN4amct15WeightQuantPassC1Ev_ZN4amct31MatMulV2TransposeX2OptimizePassC1Ev_ZN4amct13BiasQuantPassC1Ev_ZN4amct15InsertQuantPassC1Ev_ZN4amct24InsertQuantAntiquantPassC1Ev_ZN4amct22MultiQuantOptimizePassC1Ev_ZN4amct25InsertWeightAntiquantPassC1Ev_ZN4amct15QuantFusionPassC1Ev_ZN4amct17InsertDequantPassC1Ev_ZN4amct16ReplaceRelu6PassC1Ev_ZN4amct16AdjustOutputPassC1Ev_ZN4amct16AdjustOutputPass10SetOutputsERN2ge5GraphE_ZN4amct16AdjustOutputPassD1Ev_ZN4amct16ReplaceRelu6PassD1Ev_ZN4amct17InsertDequantPassD1Ev_ZN4amct15QuantFusionPassD1Ev_ZN4amct25InsertWeightAntiquantPassD1Ev_ZN4amct22MultiQuantOptimizePassD1Ev_ZN4amct24InsertQuantAntiquantPassD1Ev_ZN4amct15InsertQuantPassD1Ev_ZN4amct13BiasQuantPassD1Ev_ZN4amct31MatMulV2TransposeX2OptimizePassD1Ev_ZN4amct15WeightQuantPassD1Ev_ZN4amct13Configuration18GetDualQuantLayersERKN2ge5GraphE_ZN4amct13Configuration23CheckAndFixDualQuantCfgEv_ZN4amct13Configuration25DisableNonConstQuantNodesERKN2ge5GraphE_ZN4amct10GraphUtils29GetOriOutputDataTypeFromGraphERKN2ge5GraphE_ZN4amct13Configuration31DisableNoWeightQuantInFp16GraphERKN2ge5GraphE_ZN4amct13Configuration18CheckNuqWeightSizeERKN2ge5GraphE_ZN2ge5GraphC1EPKc_ZN2ge5Graph8CopyFromERKS0__ZN4amct12RecordDumper14DumpRecordFileEv_ZN4amct7Context27ConstructNuqFakeQuantFactorEv_ZNSsaSEPKc_ZN4amct10GraphUtils23GetMemBoundLayersWeightERKN2ge5GraphERKSt3mapISsSsSt4lessISsESaISt4pairIKSsSsEEE_ZN4amct7Context9ClearInfoEv_ZN4amct13Configuration19SelectMemBoundLayerERKSt3mapISsjSt4lessISsESaISt4pairIKSsjEEERKS1_ISsSsS3_SaIS4_IS5_SsEEE_ZN4amct13Configuration25UpdateMemBoundLayerConfigERSt6vectorISsSaISsEERKSt3mapISsSsSt4lessISsESaISt4pairIKSsSsEEE_ZTSN2ge8OperatorE_ZTIN2ge8OperatorE_ZTSN2ge2op10LowerBoundE_ZTIN2ge2op10LowerBoundE_ZTSN2ge2op15ReverseSequenceE_ZTIN2ge2op15ReverseSequenceE_ZTSN2ge2op14MatrixBandPartE_ZTIN2ge2op14MatrixBandPartE_ZTSN2ge2op16UniqueWithCountsE_ZTIN2ge2op16UniqueWithCountsE_ZTSN2ge2op6UniqueE_ZTIN2ge2op6UniqueE_ZTSN2ge2op10UniqueExt2E_ZTIN2ge2op10UniqueExt2E_ZTSN2ge2op17InvertPermutationE_ZTIN2ge2op17InvertPermutationE_ZTSN2ge2op13CheckNumericsE_ZTIN2ge2op13CheckNumericsE_ZTSN2ge2op12UnravelIndexE_ZTIN2ge2op12UnravelIndexE_ZTSN2ge2op10UpperBoundE_ZTIN2ge2op10UpperBoundE_ZTSN2ge2op20UniqueWithCountsExt2E_ZTIN2ge2op20UniqueWithCountsExt2E_ZTSN2ge2op9MirrorPadE_ZTIN2ge2op9MirrorPadE_ZTSN2ge2op8ListDiffE_ZTIN2ge2op8ListDiffE_ZTSN2ge2op20_ParallelConcatStartE_ZTIN2ge2op20_ParallelConcatStartE_ZTSN2ge2op5ConstE_ZTIN2ge2op5ConstE_ZTSN2ge2op8ConstantE_ZTIN2ge2op8ConstantE_ZTSN2ge2op12FileConstantE_ZTIN2ge2op12FileConstantE_ZTSN2ge2op8SnapshotE_ZTIN2ge2op8SnapshotE_ZTSN2ge2op14GuaranteeConstE_ZTIN2ge2op14GuaranteeConstE_ZTSN2ge2op13BroadcastArgsE_ZTIN2ge2op13BroadcastArgsE_ZTSN2ge2op15PreventGradientE_ZTIN2ge2op15PreventGradientE_ZTSN2ge2op21BroadcastGradientArgsE_ZTIN2ge2op21BroadcastGradientArgsE_ZTSN2ge2op12StopGradientE_ZTIN2ge2op12StopGradientE_ZTSN2ge2op8IdentityE_ZTIN2ge2op8IdentityE_ZTSN2ge2op9IdentityNE_ZTIN2ge2op9IdentityNE_ZTSN2ge2op10ExpandDimsE_ZTIN2ge2op10ExpandDimsE_ZTSN2ge2op9UnsqueezeE_ZTIN2ge2op9UnsqueezeE_ZTSN2ge2op11UnsqueezeV2E_ZTIN2ge2op11UnsqueezeV2E_ZTSN2ge2op11UnsqueezeV3E_ZTIN2ge2op11UnsqueezeV3E_ZTSN2ge2op7ReshapeE_ZTIN2ge2op7ReshapeE_ZTSN2ge2op7SqueezeE_ZTIN2ge2op7SqueezeE_ZTSN2ge2op9SqueezeV2E_ZTIN2ge2op9SqueezeV2E_ZTSN2ge2op9SqueezeV3E_ZTIN2ge2op9SqueezeV3E_ZTSN2ge2op4RankE_ZTIN2ge2op4RankE_ZTSN2ge2op4SizeE_ZTIN2ge2op4SizeE_ZTSN2ge2op4DataE_ZTIN2ge2op4DataE_ZTSN2ge2op11PlaceHolderE_ZTIN2ge2op11PlaceHolderE_ZTSN2ge2op22PlaceholderWithDefaultE_ZTIN2ge2op22PlaceholderWithDefaultE_ZTSN2ge2op14ReadVariableOpE_ZTIN2ge2op14ReadVariableOpE_ZTSN2ge2op3EndE_ZTIN2ge2op3EndE_ZTSN2ge2op7SummaryE_ZTIN2ge2op7SummaryE_ZTSN2ge2op5ShapeE_ZTIN2ge2op5ShapeE_ZTSN2ge2op12GatherShapesE_ZTIN2ge2op12GatherShapesE_ZTSN2ge2op6ShapeNE_ZTIN2ge2op6ShapeNE_ZTSN2ge2op5EmptyE_ZTIN2ge2op5EmptyE_ZTSN2ge2op13MirrorPadGradE_ZTIN2ge2op13MirrorPadGradE_ZTSN2ge2op5WhereE_ZTIN2ge2op5WhereE_ZTSN2ge2op4CopyE_ZTIN2ge2op4CopyE_ZTSN2ge2op8ViewCopyE_ZTIN2ge2op8ViewCopyE_ZTSN2ge2op11Finge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e2op8Col2ImV2D0Ev_ZN2ge2op6Col2imD2Ev_ZN2ge2op6Col2imD1Ev_ZN2ge2op6Col2imD0Ev_ZN2ge2op12CompressFcOpD2Ev_ZN2ge2op12CompressFcOpD1Ev_ZN2ge2op12CompressFcOpD0Ev_ZN2ge2op8CompressD2Ev_ZN2ge2op8CompressD1Ev_ZN2ge2op8CompressD0Ev_ZN2ge2op9FlattenV2D2Ev_ZN2ge2op9FlattenV2D1Ev_ZN2ge2op9FlattenV2D0Ev_ZN2ge2op18ConfusionTransposeD2Ev_ZN2ge2op18ConfusionTransposeD1Ev_ZN2ge2op18ConfusionTransposeD0Ev_ZN2ge2op19ConfusionTransposeDD2Ev_ZN2ge2op19ConfusionTransposeDD1Ev_ZN2ge2op19ConfusionTransposeDD0Ev_ZN2ge2op20ExtractVolumePatchesD2Ev_ZN2ge2op20ExtractVolumePatchesD1Ev_ZN2ge2op20ExtractVolumePatchesD0Ev_ZN2ge2op19ExtractImagePatchesD2Ev_ZN2ge2op19ExtractImagePatchesD1Ev_ZN2ge2op19ExtractImagePatchesD0Ev_ZN2ge2op6UnpackD2Ev_ZN2ge2op6UnpackD1Ev_ZN2ge2op6UnpackD0Ev_ZN2ge2op13SpaceToBatchDD2Ev_ZN2ge2op13SpaceToBatchDD1Ev_ZN2ge2op13SpaceToBatchDD0Ev_ZN2ge2op12SpaceToBatchD2Ev_ZN2ge2op12SpaceToBatchD1Ev_ZN2ge2op12SpaceToBatchD0Ev_ZN2ge2op13BatchToSpaceDD2Ev_ZN2ge2op13BatchToSpaceDD1Ev_ZN2ge2op13BatchToSpaceDD0Ev_ZN2ge2op12BatchToSpaceD2Ev_ZN2ge2op12BatchToSpaceD1Ev_ZN2ge2op12BatchToSpaceD0Ev_ZN2ge2op12DepthToSpaceD2Ev_ZN2ge2op12DepthToSpaceD1Ev_ZN2ge2op12DepthToSpaceD0Ev_ZN2ge2op12SpaceToDepthD2Ev_ZN2ge2op12SpaceToDepthD1Ev_ZN2ge2op12SpaceToDepthD0Ev_ZN2ge2op15SpaceToBatchNDDD2Ev_ZN2ge2op15SpaceToBatchNDDD1Ev_ZN2ge2op15SpaceToBatchNDDD0Ev_ZN2ge2op14SpaceToBatchNDD2Ev_ZN2ge2op14SpaceToBatchNDD1Ev_ZN2ge2op14SpaceToBatchNDD0Ev_ZN2ge2op15BatchToSpaceNDDD2Ev_ZN2ge2op15BatchToSpaceNDDD1Ev_ZN2ge2op15BatchToSpaceNDDD0Ev_ZN2ge2op14BatchToSpaceNDD2Ev_ZN2ge2op14BatchToSpaceNDD1Ev_ZN2ge2op14BatchToSpaceNDD0Ev_ZN2ge2op7FlattenD2Ev_ZN2ge2op7FlattenD1Ev_ZN2ge2op7FlattenD0Ev_ZN2ge2op7PermuteD2Ev_ZN2ge2op7PermuteD1Ev_ZN2ge2op7PermuteD0Ev_ZN2ge2op12TransDataRNND2Ev_ZN2ge2op12TransDataRNND1Ev_ZN2ge2op12TransDataRNND0Ev_ZN2ge2op9TransDataD2Ev_ZN2ge2op9TransDataD1Ev_ZN2ge2op9TransDataD0Ev_ZN2ge2op9TransposeD2Ev_ZN2ge2op9TransposeD1Ev_ZN2ge2op9TransposeD0Ev_ZN2ge2op10TransposeDD2Ev_ZN2ge2op10TransposeDD1Ev_ZN2ge2op10TransposeDD0Ev_ZN2ge2op21DepthwiseWeight6DTo4DD2Ev_ZN2ge2op21DepthwiseWeight6DTo4DD1Ev_ZN2ge2op21DepthwiseWeight6DTo4DD0Ev_ZN2ge2op21DepthwiseWeight4DTo6DD2Ev_ZN2ge2op21DepthwiseWeight4DTo6DD1Ev_ZN2ge2op21DepthwiseWeight4DTo6DD0Ev_ZN2ge2op7BitcastD2Ev_ZN2ge2op7BitcastD1Ev_ZN2ge2op7BitcastD0Ev_ZN2ge2op12ReduceNansumD2Ev_ZN2ge2op12ReduceNansumD1Ev_ZN2ge2op12ReduceNansumD0Ev_ZN2ge2op12ReduceLogSumD2Ev_ZN2ge2op12ReduceLogSumD1Ev_ZN2ge2op12ReduceLogSumD0Ev_ZN2ge2op15ReduceLogSumExpD2Ev_ZN2ge2op15ReduceLogSumExpD1Ev_ZN2ge2op15ReduceLogSumExpD0Ev_ZN2ge2op17ReduceStdV2UpdateD2Ev_ZN2ge2op17ReduceStdV2UpdateD1Ev_ZN2ge2op17ReduceStdV2UpdateD0Ev_ZN2ge2op18ReduceMeanVarianceD2Ev_ZN2ge2op18ReduceMeanVarianceD1Ev_ZN2ge2op18ReduceMeanVarianceD0Ev_ZN2ge2op17ReduceStdWithMeanD2Ev_ZN2ge2op17ReduceStdWithMeanD1Ev_ZN2ge2op17ReduceStdWithMeanD0Ev_ZN2ge2op9ReduceStdD2Ev_ZN2ge2op9ReduceStdD1Ev_ZN2ge2op9ReduceStdD0Ev_ZN2ge2op10ReduceJoinD2Ev_ZN2ge2op10ReduceJoinD1Ev_ZN2ge2op10ReduceJoinD0Ev_ZN2ge2op16GNTrainingUpdateD2Ev_ZN2ge2op16GNTrainingUpdateD1Ev_ZN2ge2op16GNTrainingUpdateD0Ev_ZN2ge2op16GNTrainingReduceD2Ev_ZN2ge2op16GNTrainingReduceD1Ev_ZN2ge2op16GNTrainingReduceD0Ev_ZN2ge2op29INTrainingUpdateGradGammaBetaD2Ev_ZN2ge2op29INTrainingUpdateGradGammaBetaD1Ev_ZN2ge2op29INTrainingUpdateGradGammaBetaD0Ev_ZN2ge2op20INTrainingUpdateGradD2Ev_ZN2ge2op20INTrainingUpdateGradD1Ev_ZN2ge2op20INTrainingUpdateGradD0Ev_ZN2ge2op20INTrainingReduceGradD2Ev_ZN2ge2op20INTrainingReduceGradD1Ev_ZN2ge2op20INTrainingReduceGradD0Ev_ZN2ge2op18INTrainingUpdateV2D2Ev_ZN2ge2op18INTrainingUpdateV2D1Ev_ZN2ge2op18INTrainingUpdateV2D0Ev_ZN2ge2op18INTrainingReduceV2D2Ev_ZN2ge2op18INTrainingReduceV2D1Ev_ZN2ge2op18INTrainingReduceV2D0Ev_ZN2ge2op9INInferV2D2Ev_ZN2ge2op9INInferV2D1Ev_ZN2ge2op9INInferV2D0Ev_ZN2ge2op14EuclideanNormDD2Ev_ZN2ge2op14EuclideanNormDD1Ev_ZN2ge2op14EuclideanNormDD0Ev_ZN2ge2op13EuclideanNormD2Ev_ZN2ge2op13EuclideanNormD1Ev_ZN2ge2op13EuclideanNormD0Ev_ZN2ge2op9ReductionD2Ev_ZN2ge2op9ReductionD1Ev_ZN2ge2op9ReductionD0Ev_ZN2ge2op10ReduceAnyDD2Ev_ZN2ge2op10ReduceAnyDD1Ev_ZN2ge2op10ReduceAnyDD0Ev_ZN2ge2op9ReduceAnyD2Ev_ZN2ge2op9ReduceAnyD1Ev_ZN2ge2op9ReduceAnyD0Ev_ZN2ge2op10ReduceMinDD2Ev_ZN2ge2op10ReduceMinDD1Ev_ZN2ge2op10ReduceMinDD0Ev_ZN2ge2op9ReduceMinD2Ev_ZN2ge2op9ReduceMinD1Ev_ZN2ge2op9ReduceMinD0Ev_ZN2ge2op10ReduceMaxDD2Ev_ZN2ge2op10ReduceMaxDD1Ev_ZN2ge2op10ReduceMaxDD0Ev_ZN2ge2op9ReduceMaxD2Ev_ZN2ge2op9ReduceMaxD1Ev_ZN2ge2op9ReduceMaxD0Ev_ZN2ge2op11ReduceMeanDD2Ev_ZN2ge2op11ReduceMeanDD1Ev_ZN2ge2op11ReduceMeanDD0Ev_ZN2ge2op10ReduceMeanD2Ev_ZN2ge2op10ReduceMeanD1Ev_ZN2ge2op10ReduceMeanD0Ev_ZN2ge2op11ReduceProdDD2Ev_ZN2ge2op11ReduceProdDD1Ev_ZN2ge2op11ReduceProdDD0Ev_ZN2ge2op10ReduceProdD2Ev_ZN2ge2op10ReduceProdD1Ev_ZN2ge2op10ReduceProdD0Ev_ZN2ge2op9ReduceAllD2Ev_ZN2ge2op9ReduceAllD1Ev_ZN2ge2op9ReduceAllD0Ev_ZN2ge2op10ReduceAllDD2Ev_ZN2ge2op10ReduceAllDD1Ev_ZN2ge2op10ReduceAllDD0Ev_ZN2ge2op19ReduceMeanWithCountD2Ev_ZN2ge2op19ReduceMeanWithCountD1Ev_ZN2ge2op19ReduceMeanW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gedCountSparseOutputE_ZTVN2ge2op12SliceLastDimE_ZTVN2ge2op9ReductionE_ZTVN2ge2op10ReduceAllDE_ZTVN2ge2op4ConjE_ZTVN2ge2op5IsNanE_ZTVN2ge2op14GetDynamicDimsE_ZTVN2ge2op13AvgPoolUpdateE_ZTVN2ge2op6LpNormE_ZTVN2ge2op36HcomCollRemoteLookupUniquedAndPairedE_ZTVN2ge2op17ReduceStdWithMeanE_ZTVN2ge2op8SelectV2E_ZTVN2ge2op8IsPosInfE_ZTVN2ge2op7ComplexE_ZTVN2ge2op20SparseSegmentSumGradE_ZTVN2ge2op11NLLLossGradE_ZTVN2ge2op24WeightQuantBatchmatmulV3E_ZTVN2ge2op21ScatterNonAliasingAddE_ZTVN2ge2op7NLLLossE_ZTVN2ge2op8IsNegInfE_ZTVN2ge2op14RaggedBincountE_ZTVN2ge2op6ConcatE_ZTVN2ge2op16GNTrainingUpdateE_ZTVN2ge2op8GatherNdE_ZTVN2ge2op19UnsortedSegmentMinDE_ZTVN2ge2op22ImgRawDecodePostHandleE_ZTVN2ge2op9BucketizeE_ZTVN2ge2op23MatMulV2CompressDequantE_ZTVN2ge2op16ForeachMulScalarE_ZTVN2ge2op9ReduceStdE_ZTVN2ge2op16SparseSegmentSumE_ZTVN2ge2op13MaskedScatterE_ZTVN2ge2op26HcomCollRemoteLookupPairedE_ZTVN2ge2op21SparseSegmentMeanGradE_ZTVN2ge2op13BatchMatMulV3E_ZTVN2ge2op19ScaledMaskedSoftmaxE_ZTVN2ge2op23ForeachSubScalarInplaceE_ZTVN2ge2op21ForeachAddListInplaceE_ZTVN2ge2op10GeluGradV2E_ZTVN2ge2op14ForeachAddListE_ZTVN2ge2op7GetNextE_ZTVN2ge2op11ForeachATanE_ZTVN2ge2op19UnsortedSegmentSumDE_ZTVN2ge2op18ForeachATanInplaceE_ZTVN2ge2op11ForeachTanhE_ZTVN2ge2op10ReduceMeanE_ZTVN2ge2op18ForeachTanhInplaceE_ZTVN2ge2op13DenseBincountE_ZTVN2ge2op12VoxelizationE_ZTVN2ge2op12SpaceToBatchE_ZTVN2ge2op19ExtractImagePatchesE_ZTVN2ge2op14StridedSliceV3E_ZTVN2ge2op5CdistE_ZTVN2ge2op16ForeachSubScalarE_ZTVN2ge2op16HcomRemoteLookupE_ZTVN2ge2op32MultiScaleDeformableAttnFunctionE_ZTVN2ge2op11ForeachASinE_ZTVN2ge2op21ForeachDivListInplaceE_ZTVN2ge2op21ForeachSigmoidInplaceE_ZTVN2ge2op21ForeachPowListInplaceE_ZTVN2ge2op18ForeachMinimumListE_ZTVN2ge2op31ForeachMaximumScalarListInplaceE_ZTVN2ge2op25ForeachAddcdivListInplaceE_ZTVN2ge2op20ForeachMaximumScalarE_ZTVN2ge2op19UnsortedSegmentProdE_ZTVN2ge2op27ForeachDivScalarListInplaceE_ZTVN2ge2op8SliceDV2E_ZTVN2ge2op27ForeachAddcdivScalarInplaceE_ZTVN2ge2op25ForeachAddcmulListInplaceE_ZTVN2ge2op10IndexFillDE_ZTVN2ge2op8MatMulV3E_ZTVN2ge2op20BNTrainingUpdateGradE_ZTVN2ge2op9ReduceAllE_ZTVN2ge2op13SliceWithAxesE_ZTVN2ge2op17ForeachLerpScalarE_ZTVN2ge2op11BNInferGradE_ZTVN2ge2op15ForeachLerpListE_ZTVN2ge2op24ThreeInterpolateBackwardE_ZTVN2ge2op8BincountE_ZTVN2ge2op17CompareAndBitpackE_ZTVN2ge2op13InplaceUpdateE_ZTVN2ge2op18ForeachAddcdivListE_ZTVN2ge2op18UnsortedSegmentSumE_ZTVN2ge2op10ForeachTanE_ZTVN2ge2op20HistogramFixedWidthDE_ZTVN2ge2op24Conv2DTransposeDCompressE_ZTVN2ge2op13EndOfSequenceE_ZTVN2ge2op18INTrainingReduceV2E_ZTVN2ge2op11DynSeqOuterE_ZTVN2ge2op14BatchToSpaceNDE_ZTVN2ge2op10ReduceProdE_ZTVN2ge2op20INTrainingUpdateGradE_ZTVN2ge2op29INTrainingUpdateGradGammaBetaE_ZTVN2ge2op14RaggedBinCountE_ZTVN2ge2op25ForeachBinaryWithScalarOpE_ZTVN2ge2op10InplaceSubE_ZTVN2ge2op19TopKPQDistanceMergeE_ZTVN2ge2op14GatherElementsE_ZTVN2ge2op14SignBitsUnpackE_ZTVN2ge2op22WeightQuantBatchmatmulE_ZTVN2ge2op20RepeatInterleaveGradE_ZTVN2ge2op13SpaceToBatchDE_ZTVN2ge2op24ForeachLerpScalarInplaceE_ZTVN2ge2op18ForeachAddcmulListE_ZTVN2ge2op5TruncE_ZTVN2ge2op27ForeachAddcmulScalarInplaceE_ZTVN2ge2op20ForeachAddcmulScalarE_ZTVN2ge2op14ForeachMulListE_ZTVN2ge2op12LpNormReduceE_ZTVN2ge2op10RGB2YUV422E_ZTVN2ge2op28ForeachRoundOffNumberInplaceE_ZTVN2ge2op24ForeachMinimumScalarListE_ZTVN2ge2op16PointsInPolygonsE_ZTVN2ge2op19RotatedFeatureAlignE_ZTVN2ge2op11PasteSubImgE_ZTVN2ge2op10ForeachAbsE_ZTVN2ge2op7CumprodE_ZTVN2ge2op15SpaceToBatchNDDE_ZTVN2ge2op11ReduceProdDE_ZTVN2ge2op9ProposalDE_ZTVN2ge2op17StridedSliceGradDE_ZTVN2ge2op15BatchToSpaceNDDE_ZTVN2ge2op31ForeachNonFiniteCheckAndUnscaleE_ZTVN2ge2op16StridedSliceGradE_ZTVN2ge2op20MovingSumWithSigmoidE_ZTVN2ge2op13DecodeJpegPreE_ZTVN2ge2op5TileDE_ZTVN2ge2op4TileE_ZTVN2ge2op11InplaceAddDE_ZTVN2ge2op10InplaceAddE_ZTVN2ge2op12ForeachLog10E_ZTVN2ge2op11InplaceSubDE_ZTVN2ge2op25ForeachMaximumListInplaceE_ZTVN2ge2op23ForeachDivScalarInplaceE_ZTVN2ge2op6CumminE_ZTVN2ge2op11CorrectBBoxE_ZTVN2ge2op18ForeachLog2InplaceE_ZTVN2ge2op17ForeachNegInplaceE_ZTVN2ge2op19ForeachLog10InplaceE_ZTVN2ge2op11ForeachSqrtE_ZTVN2ge2op10TransposeDE_ZTVN2ge2op19ForeachLog1pInplaceE_ZTVN2ge2op24ForeachReciprocalInplaceE_ZTVN2ge2op12ForeachLog1pE_ZTVN2ge2op12BatchToSpaceE_ZTVN2ge2op17ForeachLogInplaceE_ZTVN2ge2op7OneHotDE_ZTVN2ge2op12ConcatOffsetE_ZTVN2ge2op5PowerE_ZTVN2ge2op14NonFiniteCheckE_ZTVN2ge2op14ForeachUnaryOpE_ZTVN2ge2op22Conv2dBackpropFilterV2E_ZTVN2ge2op7ThreeNNE_ZTVN2ge2op10ReverseV2DE_ZTVN2ge2op14ParallelConcatE_ZTVN2ge2op7SplitVDE_ZTVN2ge2op16RopeQuantKvcacheE_ZTVN2ge2op5SliceE_ZTVN2ge2op6CummaxE_ZTVN2ge2op11PassThroughE_ZTVN2ge2op17SparseSegmentMeanE_ZTVN2ge2op24ForeachUnaryWithScalarOpE_ZTVN2ge2op27ForeachMaximumScalarInplaceE_ZTVN2ge2op16StackGroupPointsE_ZTVN2ge2op17DeformableRoiPoolE_ZTVN2ge2op20ForeachPowScalarListE_ZTVN2ge2op17ForeachExpInplaceE_ZTVN2ge2op7CumsumDE_ZTVN2ge2op11ReduceMeanDE_ZTVN2ge2op20ExtractVolumePatchesE_ZTVN2ge2op11ForeachSinhE_ZTVN2ge2op10ReduceMaxDE_ZTVN2ge2op20HcomCollRemoteLookupE_ZTVN2ge2op10ForeachNegE_ZTVN2ge2op10IndexPutV2E_ZTVN2ge2op9INInferV2E_ZTVN2ge2op16BNTrainingUpdateE_ZTVN2ge2op9HistogramE_ZTVN2ge2op15ForeachBinaryOpE_ZTVN2ge2op20HcomCollRemoteUpdateE_ZTVN2ge2op23MultiHeadAttentionScoreE_ZTVN2ge2op11PSAMaskGradE_ZTVN2ge2op9BallQueryE_ZTVN2ge2op16ForeachTernaryOpE_ZTVN2ge2op6MemSetE_ZTVN2ge2op9ConcatV2DE_ZTVN2ge2op7GatherDE_ZTVN2ge2op17ForeachCosInplaceE_ZTVN2ge2op17ForeachAbsInplaceE_ZTVN2ge2op21ForeachSubListInplaceE_ZTVN2ge2op10ForeachLogE_ZTVN2ge2op11IgammaGradAE_ZTVN2ge2op8InitDataE_ZTVN2ge2op17ReduceStdV2UpdateE_ZTVN2ge2op23SparseCountSparseOutputE_ZTVN2ge2op10SegmentMaxE_ZTVN2ge2op6SelectE_ZTVN2ge2op27ForeachAddScalarListInplaceE_ZTVN2ge2op11ForeachACosE_ZTVN2ge2op18ForeachSqrtInplaceE_ZTVN2ge2op12MaskedSelectE_ZTVN2ge2op18StridedSliceAssignE_ZTVN2ge2op7BitcastE_ZTVN2ge2op10AffineGridE_ZTVN2ge2op16ForeachDivScalarE_ZTVN2ge2op21DepthwiseWeight6DTo4DE_ZTVN2ge2op12ForeachExpm1E_ZTVN2ge2op19ForeachExpm1InplaceE_ZTVN2ge2op10ForeachExpE_ZTVN2ge2op13SwitchByIndexE_ZTVN2ge2op16QuantBatchMatmulE_ZTVN2ge2op18ForeachMaximumListE_ZTVN2ge2op4ZetaE_ZTVN2ge2op10PhonySplitE_ZTVN2ge2op14SpaceToBatchNDE_ZTVN2ge2op10ReduceMinDE_ZTVN2ge2op8ProposalE_ZTVN2ge2op16GNTrainingReduceE_ZTVN2ge2op18ForeachZeroInplaceE_ZTVN2ge2op6SplitVE_ZTVN2ge2op26HcomCollRemoteUpdatePairedE_ZTVN2ge2op10ReduceJoinE_ZTVN2ge2op18ActULQClampMinGradE_ZTVN2ge2op8YUVToRGBE_ZTVN2ge2op18ForeachACosInplaceE_ZTVN2ge2op10RotatedNMSE_ZTVN2ge2op21ForeachRoundOffNumberE_ZTVN2ge2op21ForeachMulListInplaceE_ZTVN2ge2op15ReduceLogSumExpE_ZTVN2ge2op13StridedSliceDE_ZTVN2ge2op14ForeachDivListE_ZTVN2ge2op10ReduceAnyDE_ZTVN2ge2op10ForeachCosE_ZTVN2ge2op16BNTrainingReduceE_ZTVN2ge2op14EuclideanNormDE_ZTVN2ge2op6SliceDE_ZTVN2ge2op9FlattenV2E_ZTVN2ge2op13YUV4442YUV422E_ZTVN2ge2op24ImgRawDecodePostHandleV2E_ZTVN2ge2op31ForeachMinimumScalarListInplaceE_ZTVN2ge2op21DeformableRoiPoolGradE_ZTVN2ge2op17ForeachSinInplaceE_ZTVN2ge2op5RangeE_ZTVN2ge2op20ForeachMinimumScalarE_ZTVN2ge2op19CumulativeLogsumexpE_ZTVN2ge2op12SignBitsPackE_ZTVN2ge2op27ForeachPowScalarListInplaceE_ZTVN2ge2op6LgammaE_ZTVN2ge2op7SearchNE_ZTVN2ge2op18ForeachCoshInplaceE_ZTVN2ge2op19InplaceTopKDistanceE_ZTVN2ge2op12SearchSortedE_ZTVN2ge2op22BN3DTrainingUpdateGradE_ZTVN2ge2op18BNTrainingUpdateV2E_ZTVN2ge2op18ForeachASinInplaceE_ZTVN2ge2op16ForeachPowScalarE_ZTVN2ge2op18BatchMatmulFixpipeE_ZTVN2ge2op18ForeachSinhInplaceE_ZTVN2ge2op7PSAMaskE_ZTVN2ge2op29AdaptiveAvgPool2dAssistMatrixE_ZTVN2ge2op27ForeachSubScalarListInplaceE_ZTVN2ge2op6RangeDE_ZTVN2ge2op10ForeachSinE_ZTVN2ge2op22BN3DTrainingReduceGradE_ZNSt8_Rb_treeImSt4pairIKmSt6vectorISsSaISsEEESt10_Select1stIS5_ESt4lessImESaIS5_EE8_M_eraseEPSt13_Rb_tree_nodeIS5_E_ZNSt8_Rb_treeImSt4pairIKmS0_ImSt6vectorISsSaISsEEEESt10_Select1stIS6_ESt4lessImESaIS6_EE8_M_eraseEPSt13_Rb_tree_nodeIS6_E_ZN4amct14InsertIfmrPassD2Ev_ZN4amct14InsertIfmrPassD0Ev_ZNSt6vectorIN2ge8OperatorESaIS1_EE17_M_realloc_insertIJRKS1_EEEvN9__gnu_cxx17__normal_iteratorIPS1_S3_EEDpOT__ZNSt8_Rb_treeISsSsSt9_IdentityISsESt4lessISsESaISsEE16_M_insert_uniqueISsEESt4pairISt17_Rb_tree_iteratorISsEbEOT__ZNSt6vectorIN2ge8OperatorESaIS1_EE15_M_range_insertIN9__gnu_cxx17__normal_iteratorIPS1_S3_EEEEvS8_T_S9_St20forward_iterator_tag_ZSt20__throw_length_errorPKc_ZNSt8_Rb_treeImSt4pairIKmSt6vectorISsSaISsEEESt10_Select1stIS5_ESt4lessImESaIS5_EE14_M_insert_nodeEPSt18_Rb_tree_node_baseSD_PSt13_Rb_tree_nodeIS5_E_ZNSt8_Rb_treeISsSt4pairIKSsSt6vectorIfSaIfEEESt10_Select1stIS5_ESt4lessISsESaIS5_EE24_M_get_insert_unique_posERS1__ZNSt8_Rb_treeISsSt4pairIKSsSt6vectorIfSaIfEEESt10_Select1stIS5_ESt4lessISsESaIS5_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS5_ERS1__ZNSt8_Rb_treeImSt4pairIKmS0_ImSt6vectorISsSaISsEEEESt10_Select1stIS6_ESt4lessImESaIS6_EE14_M_insert_nodeEPSt18_Rb_tree_node_baseSE_PSt13_Rb_tree_nodeIS6_E_ZNSt6vectorISsSaISsEE17_M_realloc_insertIJSsEEEvN9__gnu_cxx17__normal_iteratorIPSsS1_EEDpOT__ZNSt6vectorISsSaISsEE12emplace_backIJSsEEEvDpOT__ZNSt8_Rb_treeImSt4pairIKmSt6vectorISsSaISsEEESt10_Select1stIS5_ESt4lessImESaIS5_EE24_M_get_insert_unique_posERS1__ZNSt8_Rb_treeImSt4pairIKmSt6vectorISsSaISsEEESt10_Select1stIS5_ESt4lessImESaIS5_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS5_ERS1__ZN4amct14InsertIfmrPass11AddIfmrNodeERN2ge5GraphERSt6vectorISsSaISsEERNS1_5GNodeEiS9__ZN2ge8OperatorC2EPKc_ZN2ge8Operator7SetAttrEPKcf_ZN2ge8Operator7SetAttrEPKcRKSt6vectorIfSaIfEE_ZNSt8_Rb_treeImSt4pairIKmS0_ImSt6vectorISsSaISsEEEESt10_Select1stIS6_ESt4lessImESaIS6_EE24_M_get_insert_unique_posERS1__ZNSt8_Rb_treeImSt4pairIKmS0_ImSt6vectorISsSaISsEEEESt10_Select1stIS6_ESt4lessImESaIS6_EE29_M_get_insert_hint_unique_posESt23_Rb_tree_const_iteratorIS6_ERS1__ZN4amct14InsertIfmrPass14AddSearchNNodeERN2ge5GraphERSt6vectorISsSaISsEERNS1_5GNodeES9__ZN4amct14InsertIfmrPass6DoPassERN2ge5GraphERNS1_5GNodeE_ZN4amct21GetInputDataPortIndexERKN2ge5GNodeE_ZN4amct16SkipPadWithIndexERN2ge5GNodeEi_ZN4amct14InsertIfmrPass16JointQuantDoPassERN2ge5GraphERNS1_5G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2ge2op7AngleV2E_ZTSN2ge2op18SoftMarginLossGradE_ZTIN2ge2op18SoftMarginLossGradE_ZTSN2ge2op5CrossE_ZTIN2ge2op5CrossE_ZTSN2ge2op5CdistE_ZTIN2ge2op5CdistE_ZTSN2ge2op9CdistGradE_ZTIN2ge2op9CdistGradE_ZTSN2ge2op14RaggedBincountE_ZTIN2ge2op14RaggedBincountE_ZTSN2ge2op22DenseCountSparseOutputE_ZTIN2ge2op22DenseCountSparseOutputE_ZTSN2ge2op20SparseSegmentSumGradE_ZTIN2ge2op20SparseSegmentSumGradE_ZTSN2ge2op23RaggedCountSparseOutputE_ZTIN2ge2op23RaggedCountSparseOutputE_ZTSN2ge2op14SignBitsUnpackE_ZTIN2ge2op14SignBitsUnpackE_ZTSN2ge2op19ScaledMaskedSoftmaxE_ZTIN2ge2op19ScaledMaskedSoftmaxE_ZTSN2ge2op23ScaledMaskedSoftmaxGradE_ZTIN2ge2op23ScaledMaskedSoftmaxGradE_ZTSN2ge2op12SignBitsPackE_ZTIN2ge2op12SignBitsPackE_ZTSN2ge2op11SobolSampleE_ZTIN2ge2op11SobolSampleE_ZTSN2ge2op23SparseCountSparseOutputE_ZTIN2ge2op23SparseCountSparseOutputE_ZTSN2ge2op14RaggedBinCountE_ZTIN2ge2op14RaggedBinCountE_ZTSN2ge2op13DenseBincountE_ZTIN2ge2op13DenseBincountE_ZTSN2ge2op5RangeE_ZTIN2ge2op5RangeE_ZTSN2ge2op6RangeDE_ZTIN2ge2op6RangeDE_ZTSN2ge2op4TileE_ZTIN2ge2op4TileE_ZTSN2ge2op5TileDE_ZTIN2ge2op5TileDE_ZTSN2ge2op8GatherNdE_ZTIN2ge2op8GatherNdE_ZTSN2ge2op8GatherV2E_ZTIN2ge2op8GatherV2E_ZTSN2ge2op9GatherV2DE_ZTIN2ge2op9GatherV2DE_ZTSN2ge2op14GatherElementsE_ZTIN2ge2op14GatherElementsE_ZTSN2ge2op7GatherDE_ZTIN2ge2op7GatherDE_ZTSN2ge2op12StridedSliceE_ZTIN2ge2op12StridedSliceE_ZTSN2ge2op13StridedSliceDE_ZTIN2ge2op13StridedSliceDE_ZTSN2ge2op17StridedSliceGradDE_ZTIN2ge2op17StridedSliceGradDE_ZTSN2ge2op16StridedSliceGradE_ZTIN2ge2op16StridedSliceGradE_ZTSN2ge2op18UnsortedSegmentSumE_ZTIN2ge2op18UnsortedSegmentSumE_ZTSN2ge2op9LogSpaceDE_ZTIN2ge2op9LogSpaceDE_ZTSN2ge2op19UnsortedSegmentSumDE_ZTIN2ge2op19UnsortedSegmentSumDE_ZTSN2ge2op9ReverseV2E_ZTIN2ge2op9ReverseV2E_ZTSN2ge2op10ReverseV2DE_ZTIN2ge2op10ReverseV2DE_ZTSN2ge2op6SelectE_ZTIN2ge2op6SelectE_ZTSN2ge2op8SelectV2E_ZTIN2ge2op8SelectV2E_ZTSN2ge2op10SegmentMaxE_ZTIN2ge2op10SegmentMaxE_ZTSN2ge2op10SegmentSumE_ZTIN2ge2op10SegmentSumE_ZTSN2ge2op11SegmentMaxDE_ZTIN2ge2op11SegmentMaxDE_ZTSN2ge2op6OneHotE_ZTIN2ge2op6OneHotE_ZTSN2ge2op7OneHotDE_ZTIN2ge2op7OneHotDE_ZTSN2ge2op5SliceE_ZTIN2ge2op5SliceE_ZTSN2ge2op13SliceWithAxesE_ZTIN2ge2op13SliceWithAxesE_ZTSN2ge2op6SliceDE_ZTIN2ge2op6SliceDE_ZTSN2ge2op8SliceDV2E_ZTIN2ge2op8SliceDV2E_ZTSN2ge2op5TopKDE_ZTIN2ge2op5TopKDE_ZTSN2ge2op7TopKV2DE_ZTIN2ge2op7TopKV2DE_ZTSN2ge2op6TopKV2E_ZTIN2ge2op6TopKV2E_ZTSN2ge2op4TopKE_ZTIN2ge2op4TopKE_ZTSN2ge2op9ScatterNdE_ZTIN2ge2op9ScatterNdE_ZTSN2ge2op10ScatterNdDE_ZTIN2ge2op10ScatterNdDE_ZTSN2ge2op7InTopKDE_ZTIN2ge2op7InTopKDE_ZTSN2ge2op6InTopKE_ZTIN2ge2op6InTopKE_ZTSN2ge2op18StridedSliceAssignE_ZTIN2ge2op18StridedSliceAssignE_ZTSN2ge2op19StridedSliceAssignDE_ZTIN2ge2op19StridedSliceAssignDE_ZTSN2ge2op6GatherE_ZTIN2ge2op6GatherE_ZTSN2ge2op7CumprodE_ZTIN2ge2op7CumprodE_ZTSN2ge2op8CumprodDE_ZTIN2ge2op8CumprodDE_ZTSN2ge2op6CumsumE_ZTIN2ge2op6CumsumE_ZTSN2ge2op7CumsumDE_ZTIN2ge2op7CumsumDE_ZTSN2ge2op13InplaceUpdateE_ZTIN2ge2op13InplaceUpdateE_ZTSN2ge2op14InplaceUpdateDE_ZTIN2ge2op14InplaceUpdateDE_ZTSN2ge2op10InplaceAddE_ZTIN2ge2op10InplaceAddE_ZTSN2ge2op11InplaceAddDE_ZTIN2ge2op11InplaceAddDE_ZTSN2ge2op10InplaceSubE_ZTIN2ge2op10InplaceSubE_ZTSN2ge2op11InplaceSubDE_ZTIN2ge2op11InplaceSubDE_ZTSN2ge2op21ScatterNonAliasingAddE_ZTIN2ge2op21ScatterNonAliasingAddE_ZTSN2ge2op18UnsortedSegmentMinE_ZTIN2ge2op18UnsortedSegmentMinE_ZTSN2ge2op19UnsortedSegmentMinDE_ZTIN2ge2op19UnsortedSegmentMinDE_ZTSN2ge2op18UnsortedSegmentMaxE_ZTIN2ge2op18UnsortedSegmentMaxE_ZTSN2ge2op19UnsortedSegmentMaxDE_ZTIN2ge2op19UnsortedSegmentMaxDE_ZTSN2ge2op19UnsortedSegmentProdE_ZTIN2ge2op19UnsortedSegmentProdE_ZTSN2ge2op20UnsortedSegmentProdDE_ZTIN2ge2op20UnsortedSegmentProdDE_ZTSN2ge2op8ProposalE_ZTIN2ge2op8ProposalE_ZTSN2ge2op9ProposalDE_ZTIN2ge2op9ProposalDE_ZTSN2ge2op11PassThroughE_ZTIN2ge2op11PassThroughE_ZTSN2ge2op4CropE_ZTIN2ge2op4CropE_ZTSN2ge2op6CumminE_ZTIN2ge2op6CumminE_ZTSN2ge2op6CummaxE_ZTIN2ge2op6CummaxE_ZTSN2ge2op12TileWithAxisE_ZTIN2ge2op12TileWithAxisE_ZTSN2ge2op10ReadSelectE_ZTIN2ge2op10ReadSelectE_ZTSN2ge2op11WriteSelectE_ZTIN2ge2op11WriteSelectE_ZTSN2ge2op11StridedReadE_ZTIN2ge2op11StridedReadE_ZTSN2ge2op12StridedWriteE_ZTIN2ge2op12StridedWriteE_ZTSN2ge2op19CumulativeLogsumexpE_ZTIN2ge2op19CumulativeLogsumexpE_ZTSN2ge2op20CumulativeLogsumexpDE_ZTIN2ge2op20CumulativeLogsumexpDE_ZTSN2ge2op15InplaceIndexAddE_ZTIN2ge2op15InplaceIndexAddE_ZTSN2ge2op10MaskedFillE_ZTIN2ge2op10MaskedFillE_ZTSN2ge2op14MaskedSelectV2E_ZTIN2ge2op14MaskedSelectV2E_ZTSN2ge2op13MaskedScatterE_ZTIN2ge2op13MaskedScatterE_ZTSN2ge2op12SliceLastDimE_ZTIN2ge2op12SliceLastDimE_ZTSN2ge2op14StridedSliceV2E_ZTIN2ge2op14StridedSliceV2E_ZTSN2ge2op10IndexFillDE_ZTIN2ge2op10IndexFillDE_ZTSN2ge2op12AddRowRangesE_ZTIN2ge2op12AddRowRangesE_ZTSN2ge2op15MaskedFillRangeE_ZTIN2ge2op15MaskedFillRangeE_ZTSN2ge2op19InplaceTopKDistanceE_ZTIN2ge2op19InplaceTopKDistanceE_ZTSN2ge2op19TopKPQDistanceMergeE_ZTIN2ge2op19TopKPQDistanceMergeE_ZTSN2ge2op14StridedSliceV3E_ZTIN2ge2op14StridedSliceV3E_ZTSN2ge2op20MovingSumWithSigmoidE_ZTIN2ge2op20MovingSumWithSigmoidE_ZTSN2ge2op12MaskedSelectE_ZTIN2ge2op12MaskedSelectE_ZTSN2ge2op11DynSeqOuterE_ZTIN2ge2op11DynSeqOuterE_ZTSN2ge2op26NonMaxSuppressionBucketizeE_ZTIN2ge2op26NonMaxSuppressionBucketizeE_ZTSN2ge2op12SearchSortedE_ZTIN2ge2op12SearchSortedE_ZTSN2ge2op16RepeatInterleaveE_ZTIN2ge2op16RepeatInterleaveE_ZTSN2ge2op20RepeatInterleaveGradE_ZTIN2ge2op20RepeatInterleaveGradE_ZTSN2ge2op16BNTrainingReduceE_ZTIN2ge2op16BNTrainingReduceE_ZTSN2ge2op18BN3DTrainingReduceE_ZTIN2ge2op18BN3DTrainingReduceE_ZTSN2ge2op20BNTrainingReduceGradE_ZTIN2ge2op20BNTrainingReduceGradE_ZTSN2ge2op22BN3DTrainingReduceGradE_ZTIN2ge2op22BN3DTrainingReduceGradE_ZTSN2ge2op16BNTrainingUpdateE_ZTIN2ge2op16BNTrainingUpdateE_ZTSN2ge2op18BN3DTrainingUpdateE_ZTIN2ge2op18BN3DTrainingUpdateE_ZTSN2ge2op7BNInferE_ZTIN2ge2op7BNInferE_ZTSN2ge2op18BNTrainingUpdateV2E_ZTIN2ge2op18BNTrainingUpdateV2E_ZTSN2ge2op18BNTrainingUpdateV3E_ZTIN2ge2op18BNTrainingUpdateV3E_ZTSN2ge2op20BNTrainingUpdateGradE_ZTIN2ge2op20BNTrainingUpdateGradE_ZTSN2ge2op22BN3DTrainingUpdateGradE_ZTIN2ge2op22BN3DTrainingUpdateGradE_ZTSN2ge2op11BNInferGradE_ZTIN2ge2op11BNInferGradE_ZTSN2ge2op9ReduceSumE_ZTIN2ge2op9ReduceSumE_ZTSN2ge2op10ReduceSumDE_ZTIN2ge2op10ReduceSumDE_ZTSN2ge2op19ReduceMeanWithCountE_ZTIN2ge2op19ReduceMeanWithCountE_ZTSN2ge2op10ReduceAllDE_ZTIN2ge2op10ReduceAllDE_ZTSN2ge2op9ReduceAllE_ZTIN2ge2op9ReduceAllE_ZTSN2ge2op10ReduceProdE_ZTIN2ge2op10ReduceProdE_ZTSN2ge2op11ReduceProdDE_ZTIN2ge2op11ReduceProdDE_ZTSN2ge2op10ReduceMeanE_ZTIN2ge2op10ReduceMeanE_ZTSN2ge2op11ReduceMeanDE_ZTIN2ge2op11ReduceMeanDE_ZTSN2ge2op9ReduceMaxE_ZTIN2ge2op9ReduceMaxE_ZTSN2ge2op10ReduceMaxDE_ZTIN2ge2op10ReduceMaxDE_ZTSN2ge2op9ReduceMinE_ZTIN2ge2op9ReduceMinE_ZTSN2ge2op10ReduceMinDE_ZTIN2ge2op10ReduceMinDE_ZTSN2ge2op9ReduceAnyE_ZTIN2ge2op9ReduceAnyE_ZTSN2ge2op10ReduceAnyDE_ZTIN2ge2op10ReduceAnyDE_ZTSN2ge2op9ReductionE_ZTIN2ge2op9ReductionE_ZTSN2ge2op13EuclideanNormE_ZTIN2ge2op13EuclideanNormE_ZTSN2ge2op14EuclideanNormDE_ZTIN2ge2op14EuclideanNormDE_ZTSN2ge2op9INInferV2E_ZTIN2ge2op9INInferV2E_ZTSN2ge2op18INTrainingReduceV2E_ZTIN2ge2op18INTrainingReduceV2E_ZTSN2ge2op18INTrainingUpdateV2E_ZTIN2ge2op18INTrainingUpdateV2E_ZTSN2ge2op20INTrainingReduceGradE_ZTIN2ge2op20INTrainingReduceGradE_ZTSN2ge2op20INTrainingUpdateGradE_ZTIN2ge2op20INTrainingUpdateGradE_ZTSN2ge2op29INTrainingUpdateGradGammaBetaE_ZTIN2ge2op29INTrainingUpdateGradGammaBetaE_ZTSN2ge2op16GNTrainingReduceE_ZTIN2ge2op16GNTrainingReduceE_ZTSN2ge2op16GNTrainingUpdateE_ZTIN2ge2op16GNTrainingUpdateE_ZTSN2ge2op10ReduceJoinE_ZTIN2ge2op10ReduceJoinE_ZTSN2ge2op9ReduceStdE_ZTIN2ge2op9ReduceStdE_ZTSN2ge2op17ReduceStdWithMeanE_ZTIN2ge2op17ReduceStdWithMeanE_ZTSN2ge2op18ReduceMeanVarianceE_ZTIN2ge2op18ReduceMeanVarianceE_ZTSN2ge2op17ReduceStdV2UpdateE_ZTIN2ge2op17ReduceStdV2UpdateE_ZTSN2ge2op15ReduceLogSumExpE_ZTIN2ge2op15ReduceLogSumExpE_ZTSN2ge2op12ReduceLogSumE_ZTIN2ge2op12ReduceLogSumE_ZTSN2ge2op12ReduceNansumE_ZTIN2ge2op12ReduceNansumE_ZTSN2ge2op7BitcastE_ZTIN2ge2op7BitcastE_ZTSN2ge2op21DepthwiseWeight4DTo6DE_ZTIN2ge2op21DepthwiseWeight4DTo6DE_ZTSN2ge2op21DepthwiseWeight6DTo4DE_ZTIN2ge2op21DepthwiseWeight6DTo4DE_ZTSN2ge2op10TransposeDE_ZTIN2ge2op10TransposeDE_ZTSN2ge2op9TransposeE_ZTIN2ge2op9TransposeE_ZTSN2ge2op9TransDataE_ZTIN2ge2op9TransDataE_ZTSN2ge2op12TransDataRNNE_ZTIN2ge2op12TransDataRNNE_ZTSN2ge2op7PermuteE_ZTIN2ge2op7PermuteE_ZTSN2ge2op7FlattenE_ZTIN2ge2op7FlattenE_ZTSN2ge2op14BatchToSpaceNDE_ZTIN2ge2op14BatchToSpaceNDE_ZTSN2ge2op15BatchToSpaceNDDE_ZTIN2ge2op15BatchToSpaceNDDE_ZTSN2ge2op14SpaceToBatchNDE_ZTIN2ge2op14SpaceToBatchNDE_ZTSN2ge2op15SpaceToBatchNDDE_ZTIN2ge2op15SpaceToBatchNDDE_ZTSN2ge2op12SpaceToDepthE_ZTIN2ge2op12SpaceToDepthE_ZTSN2ge2op12DepthToSpaceE_ZTIN2ge2op12DepthToSpaceE_ZTSN2ge2op12BatchToSpaceE_ZTIN2ge2op12BatchToSpaceE_ZTSN2ge2op13BatchToSpaceDE_ZTIN2ge2op13BatchToSpaceDE_ZTSN2ge2op12SpaceToBatchE_ZTIN2ge2op12SpaceToBatchE_ZTSN2ge2op13SpaceToBatchDE_ZTIN2ge2op13SpaceToBatchDE_ZTSN2ge2op6UnpackE_ZTIN2ge2op6UnpackE_ZTSN2ge2op19ExtractImagePatchesE_ZTIN2ge2op19ExtractImagePatchesE_ZTSN2ge2op20ExtractVolumePatchesE_ZTIN2ge2op20ExtractVolumePatchesE_ZTSN2ge2op19ConfusionTransposeDE_ZTIN2ge2op19ConfusionTransposeDE_ZTSN2ge2op18ConfusionTransposeE_ZTIN2ge2op18ConfusionTransposeE_ZTSN2ge2op9FlattenV2E_ZTIN2ge2op9FlattenV2E_ZTSN2ge2op8CompressE_ZTIN2ge2op8CompressE_ZTSN2ge2op12CompressFcOpE_ZTIN2ge2op12CompressFcOpE_ZTSN2ge2op6Col2imE_ZTIN2ge2op6Col2imE_ZTSN2ge2op8Col2ImV2E_ZTIN2ge2op8Col2ImV2E_ZTSN2ge2op6Im2colE_ZTIN2ge2op6Im2colE_ZTSN2ge2op10AffineGridE_ZTIN2ge2op10AffineGridE_ZTSN2ge2op9AsStridedE_ZTIN2ge2op9AsStridedE_ZTSN2ge2op15TfIdfVectorizerE_ZTIN2ge2op15TfIdfVectorizerE_ZTSN2ge2op10ApplyAdamWE_ZTIN2ge2op10ApplyAdamWE_ZTSN2ge2op12ApplyAdamWV2E_ZTIN2ge2op12ApplyAdamWV2E_ZTSN2ge2op11ScanSQCodesE_ZTIN2ge2op11ScanSQCodesE_ZTSN2ge2op20TransposeBatchMatMulE_ZTIN2ge2op20TransposeBatchMatMulE_ZTSN2ge2op10RotatedNMSE_ZTIN2ge2op10RotatedNMSE_ZTSN2ge2op5IndexE_ZTIN2ge2op5IndexE_ZTSN2ge2op10IndexPutV2E_ZTIN2ge2op10IndexPutV2E_ZTSN2ge2op13AvgPoolUpdateE_ZTIN2ge2op13AvgPoolUpdateE_ZTSN2ge2op8YUVToRGBE_ZTIN2ge2op8YUVToRGBE_ZTSN2ge2op13DecodeJpegPreE_ZTIN2ge2op13DecodeJpegPreE_ZTSN2ge2op18FusedBiasLeakyReluE_ZTIN2ge2op18FusedBiasLeakyReluE_ZTSN2ge2op22FusedBiasLeakyReluGradE_ZTIN2ge2op22FusedBiasLeakyReluGradE_ZTSN2ge2op33MultiScaleDeformableAttentionGradE_ZTIN2ge2op33MultiScaleDeformableAttentionGradE_ZTSN2ge2op6MemSetE_ZTIN2ge2op6MemSetE_ZTSN2ge2op21DeformableRoiPoolGradE_ZTIN2ge2op21DeformableRoiPoolGradE_ZTSN2ge2op7SearchNE_ZTIN2ge2op7SearchNE_ZTSN2ge2op27AdaptiveAvgPoolAssistMatrixE_ZTIN2ge2op27AdaptiveAvgPoolAssistMatrixE_ZTSN2ge2op29AdaptiveAvgPool2dAssistMatrixE_ZTIN2ge2op29AdaptiveAvgPool2dAssistMatrixE_ZTSN2ge2op11CorrectBBoxE_ZTIN2ge2op11CorrectBBoxE_ZTSN2ge2op16RopeQuantKvcacheE_ZTIN2ge2op16RopeQuantKvcacheE_ZTSN2ge2op17DeformableRoiPoolE_ZTIN2ge2op17DeformableRoiPoolE_ZTSN2ge2op7PSAMaskE_ZTIN2ge2op7PSAMaskE_ZTSN2ge2op11PSAMaskGradE_ZTIN2ge2op11PSAMaskGradE_ZTSN2ge2op9BallQueryE_ZTIN2ge2op9BallQueryE_ZTSN2ge2op14StackBallQueryE_ZTIN2ge2op14StackBallQueryE_ZTSN2ge2op16StackGroupPointsE_ZTIN2ge2op16StackGroupPointsE_ZTSN2ge2op16HcomRemoteLookupE_ZTIN2ge2op16HcomRemoteLookupE_ZTSN2ge2op20HcomCollRemoteLookupE_ZTIN2ge2op20HcomCollRemoteLookupE_ZTSN2ge2op20HcomCollRemoteUpdateE_ZTIN2ge2op20HcomCollRemoteUpdateE_ZTSN2ge2op26HcomCollRemoteLookupPairedE_ZTIN2ge2op26HcomCollRemoteLookupPairedE_ZTSN2ge2op36HcomCollRemoteLookupUniquedAndPairedE_ZTIN2ge2op36HcomCollRemoteLookupUniquedAndPairedE_ZTSN2ge2op26HcomCollRemoteUpdatePairedE_ZTIN2ge2op26HcomCollRemoteUpdatePairedE_ZTSN2ge2op10HcomGatherE_ZTIN2ge2op10HcomGatherE_ZTSN2ge2op15MinAreaPolygonsE_ZTIN2ge2op15MinAreaPolygonsE_ZTSN2ge2op16PointsInPolygonsE_ZTIN2ge2op16PointsInPolygonsE_ZTSN2ge2op7ThreeNNE_ZTIN2ge2op7ThreeNNE_ZTSN2ge2op16ThreeInterpolateE_ZTIN2ge2op16ThreeInterpolateE_ZTSN2ge2op24ThreeInterpolateBackwardE_ZTIN2ge2op24ThreeInterpolateBackwardE_ZTSN2ge2op12VoxelizationE_ZTIN2ge2op12VoxelizationE_ZTSN2ge2op19ActiveRotatedFilterE_ZTIN2ge2op19ActiveRotatedFilterE_ZTSN2ge2op23ActiveRotatedFilterGradE_ZTIN2ge2op23ActiveRotatedFilterGradE_ZTSN2ge2op18BlendFaceBgPartOneE_ZTIN2ge2op18BlendFaceBgPartOneE_ZTSN2ge2op18BlendFaceBgPartTwoE_ZTIN2ge2op18BlendFaceBgPartTwoE_ZTSN2ge2op22ImgRawDecodePostHandleE_ZTIN2ge2op22ImgRawDecodePostHandleE_ZTSN2ge2op24ImgRawDecodePostHandleV2E_ZTIN2ge2op24ImgRawDecodePostHandleV2E_ZTSN2ge2op13YUV4442YUV422E_ZTIN2ge2op13YUV4442YUV422E_ZTSN2ge2op10RGB2YUV422E_ZTIN2ge2op10RGB2YUV422E_ZTSN2ge2op23MultiHeadAttentionScoreE_ZTIN2ge2op23MultiHeadAttentionScoreE_ZTSN2ge2op27MultiHeadAttentionScoreGradE_ZTIN2ge2op27MultiHeadAttentionScoreGradE_ZTSN2ge2op11PasteSubImgE_ZTIN2ge2op11PasteSubImgE_ZTSN2ge2op19RotatedFeatureAlignE_ZTIN2ge2op19RotatedFeatureAlignE_ZTSN2ge2op23RotatedFeatureAlignGradE_ZTIN2ge2op23RotatedFeatureAlignGradE_ZTSN2ge2op24Conv2DTransposeDCompressE_ZTIN2ge2op24Conv2DTransposeDCompressE_ZTSN2ge2op31ForeachNonFiniteCheckAndUnscaleE_ZTIN2ge2op31ForeachNonFiniteCheckAndUnscaleE_ZTSN2ge2op14NonFiniteCheckE_ZTIN2ge2op14NonFiniteCheckE_ZTSN2ge2op14ForeachUnaryOpE_ZTIN2ge2op14ForeachUnaryOpE_ZTSN2ge2op24ForeachUnaryWithScalarOpE_ZTIN2ge2op24ForeachUnaryWithScalarOpE_ZTSN2ge2op15ForeachBinaryOpE_ZTIN2ge2op15ForeachBinaryOpE_ZTSN2ge2op25ForeachBinaryWithScalarOpE_ZTIN2ge2op25ForeachBinaryWithScalarOpE_ZTSN2ge2op16ForeachTernaryOpE_ZTIN2ge2op16ForeachTernaryOpE_ZTSN2ge2op26ForeachTernaryWithScalarOpE_ZTIN2ge2op26ForeachTernaryWithScalarOpE_ZTSN2ge2op28ForeachRoundOffNumberInplaceE_ZTIN2ge2op28ForeachRoundOffNumberInplaceE_ZTSN2ge2op21ForeachRoundOffNumberE_ZTIN2ge2op21ForeachRoundOffNumberE_ZTSN2ge2op23ForeachMulScalarInplaceE_ZTIN2ge2op23ForeachMulScalarInplaceE_ZTSN2ge2op13SwitchByIndexE_ZTIN2ge2op13SwitchByIndexE_ZTSN2ge2op16QuantBatchMatmulE_ZTIN2ge2op16QuantBatchMatmulE_ZTSN2ge2op22WeightQuantBatchmatmulE_ZTIN2ge2op22WeightQuantBatchmatmulE_ZTSN2ge2op24WeightQuantBatchmatmulV3E_ZTIN2ge2op24WeightQuantBatchmatmulV3E_ZTSN2ge2op18BatchMatmulFixpipeE_ZTIN2ge2op18BatchMatmulFixpipeE_ZTSN2ge2op23ForeachAddScalarInplaceE_ZTIN2ge2op23ForeachAddScalarInplaceE_ZTSN2ge2op16ForeachAddScalarE_ZTIN2ge2op16ForeachAddScalarE_ZTSN2ge2op27ForeachAddScalarListInplaceE_ZTIN2ge2op27ForeachAddScalarListInplaceE_ZTSN2ge2op20ForeachAddScalarListE_ZTIN2ge2op20ForeachAddScalarListE_ZTSN2ge2op21ForeachAddListInplaceE_ZTIN2ge2op21ForeachAddListInplaceE_ZTSN2ge2op14ForeachAddListE_ZTIN2ge2op14ForeachAddListE_ZTSN2ge2op23ForeachSubScalarInplaceE_ZTIN2ge2op23ForeachSubScalarInplaceE_ZTSN2ge2op16ForeachSubScalarE_ZTIN2ge2op16ForeachSubScalarE_ZTSN2ge2op27ForeachSubScalarListInplaceE_ZTIN2ge2op27ForeachSubScalarListInplaceE_ZTSN2ge2op20ForeachSubScalarListE_ZTIN2ge2op20ForeachSubScalarListE_ZTSN2ge2op21ForeachSubListInplaceE_ZTIN2ge2op21ForeachSubListInplaceE_ZTSN2ge2op14ForeachSubListE_ZTIN2ge2op14ForeachSubListE_ZTSN2ge2op16ForeachMulScalarE_ZTIN2ge2op16ForeachMulScalarE_ZTSN2ge2op27ForeachMulScalarListInplaceE_ZTIN2ge2op27ForeachMulScalarListInplaceE_ZTSN2ge2op20ForeachMulScalarListE_ZTIN2ge2op20ForeachMulScalarListE_ZTSN2ge2op21ForeachMulListInplaceE_ZTIN2ge2op21ForeachMulListInplaceE_ZTSN2ge2op14ForeachMulListE_ZTIN2ge2op14ForeachMulListE_ZTSN2ge2op23ForeachDivScalarInplaceE_ZTIN2ge2op23ForeachDivScalarInplaceE_ZTSN2ge2op16ForeachDivScalarE_ZTIN2ge2op16ForeachDivScalarE_ZTSN2ge2op27ForeachDivScalarListInplaceE_ZTIN2ge2op27ForeachDivScalarListInplaceE_ZTSN2ge2op20ForeachDivScalarListE_ZTIN2ge2op20ForeachDivScalarListE_ZTSN2ge2op21ForeachDivListInplaceE_ZTIN2ge2op21ForeachDivListInplaceE_ZTSN2ge2op14ForeachDivListE_ZTIN2ge2op14ForeachDivListE_ZTSN2ge2op27ForeachMaximumScalarInplaceE_ZTIN2ge2op27ForeachMaximumScalarInplaceE_ZTSN2ge2op20ForeachMaximumScalarE_ZTIN2ge2op20ForeachMaximumScalarE_ZTSN2ge2op31ForeachMaximumScalarListInplaceE_ZTIN2ge2op31ForeachMaximumScalarListInplaceE_ZTSN2ge2op24ForeachMaximumScalarListE_ZTIN2ge2op24ForeachMaximumScalarListE_ZTSN2ge2op25ForeachMaximumListInplaceE_ZTIN2ge2op25ForeachMaximumListInplaceE_ZTSN2ge2op18ForeachMaximumListE_ZTIN2ge2op18ForeachMaximumListE_ZTSN2ge2op27ForeachMinimumScalarInplaceE_ZTIN2ge2op27ForeachMinimumScalarInplaceE_ZTSN2ge2op20ForeachMinimumScalarE_ZTIN2ge2op20ForeachMinimumScalarE_ZTSN2ge2op31ForeachMinimumScalarListInplaceE_ZTIN2ge2op31ForeachMinimumScalarListInplaceE_ZTSN2ge2op24ForeachMinimumScalarListE_ZTIN2ge2op24ForeachMinimumScalarListE_ZTSN2ge2op25ForeachMinimumListInplaceE_ZTIN2ge2op25ForeachMinimumListInplaceE_ZTSN2ge2op18ForeachMinimumListE_ZTIN2ge2op18ForeachMinimumListE_ZTSN2ge2op23ForeachPowScalarInplaceE_ZTIN2ge2op23ForeachPowScalarInplaceE_ZTSN2ge2op16ForeachPowScalarE_ZTIN2ge2op16ForeachPowScalarE_ZTSN2ge2op27ForeachPowScalarListInplaceE_ZTIN2ge2op27ForeachPowScalarListInplaceE_ZTSN2ge2op20ForeachPowScalarListE_ZTIN2ge2op20ForeachPowScalarListE_ZTSN2ge2op21ForeachPowListInplaceE_ZTIN2ge2op21ForeachPowListInplaceE_ZTSN2ge2op22ForeachScalarPowTensorE_ZTIN2ge2op22ForeachScalarPowTensorE_ZTSN2ge2op14ForeachPowListE_ZTIN2ge2op14ForeachPowListE_ZTSN2ge2op17ForeachAbsInplaceE_ZTIN2ge2op17ForeachAbsInplaceE_ZTSN2ge2op10ForeachAbsE_ZTIN2ge2op10ForeachAbsE_ZTSN2ge2op18ForeachACosInplaceE_ZTIN2ge2op18ForeachACosInplaceE_ZTSN2ge2op11ForeachACosE_ZTIN2ge2op11ForeachACosE_ZTSN2ge2op18ForeachASinInplaceE_ZTIN2ge2op18ForeachASinInplaceE_ZTSN2ge2op11ForeachASinE_ZTIN2ge2op11ForeachASinE_ZTSN2ge2op18ForeachATanInplaceE_ZTIN2ge2op18ForeachATanInplaceE_ZTSN2ge2op11ForeachATanE_ZTIN2ge2op11ForeachATanE_ZTSN2ge2op17ForeachCosInplaceE_ZTIN2ge2op17ForeachCosInplaceE_ZTSN2ge2op10ForeachCosE_ZTIN2ge2op10ForeachCosE_ZTSN2ge2op17ForeachSinInplaceE_ZTIN2ge2op17ForeachSinInplaceE_ZTSN2ge2op10ForeachSinE_ZTIN2ge2op10ForeachSinE_ZTSN2ge2op17ForeachTanInplaceE_ZTIN2ge2op17ForeachTanInplaceE_ZTSN2ge2op10ForeachTanE_ZTIN2ge2op10ForeachTanE_ZTSN2ge2op18ForeachCoshInplaceE_ZTIN2ge2op18ForeachCoshInplaceE_ZTSN2ge2op11ForeachCoshE_ZTIN2ge2op11ForeachCoshE_ZTSN2ge2op18ForeachSinhInplaceE_ZTIN2ge2op18ForeachSinhInplaceE_ZTSN2ge2op11ForeachSinhE_ZTIN2ge2op11ForeachSinhE_ZTSN2ge2op18ForeachTanhInplaceE_ZTIN2ge2op18ForeachTanhInplaceE_ZTSN2ge2op11ForeachTanhE_ZTIN2ge2op11ForeachTanhE_ZTSN2ge2op18ForeachSqrtInplaceE_ZTIN2ge2op18ForeachSqrtInplaceE_ZTSN2ge2op11ForeachSqrtE_ZTIN2ge2op11ForeachSqrtE_ZTSN2ge2op17ForeachNegInplaceE_ZTIN2ge2op17ForeachNegInplaceE_ZTSN2ge2op10ForeachNegE_ZTIN2ge2op10ForeachNegE_ZTSN2ge2op17ForeachExpInplaceE_ZTIN2ge2op17ForeachExpInplaceE_ZTSN2ge2op10ForeachExpE_ZTIN2ge2op10ForeachExpE_ZTSN2ge2op19ForeachExpm1InplaceE_ZTIN2ge2op19ForeachExpm1InplaceE_ZTSN2ge2op12ForeachExpm1E_ZTIN2ge2op12ForeachExpm1E_ZTSN2ge2op17ForeachLogInplaceE_ZTIN2ge2op17ForeachLogInplaceE_ZTSN2ge2op10ForeachLogE_ZTIN2ge2op10ForeachLogE_ZTSN2ge2op18ForeachLog2InplaceE_ZTIN2ge2op18ForeachLog2InplaceE_ZTSN2ge2op11ForeachLog2E_ZTIN2ge2op11ForeachLog2E_ZTSN2ge2op19ForeachLog10InplaceE_ZTIN2ge2op19ForeachLog10InplaceE_ZTSN2ge2op12ForeachLog10E_ZTIN2ge2op12ForeachLog10E_ZTSN2ge2op19ForeachLog1pInplaceE_ZTIN2ge2op19ForeachLog1pInplaceE_ZTSN2ge2op12ForeachLog1pE_ZTIN2ge2op12ForeachLog1pE_ZTSN2ge2op24ForeachReciprocalInplaceE_ZTIN2ge2op24ForeachReciprocalInplaceE_ZTSN2ge2op17ForeachReciprocalE_ZTIN2ge2op17ForeachReciprocalE_ZTSN2ge2op18ForeachZeroInplaceE_ZTIN2ge2op18ForeachZeroInplaceE_ZTSN2ge2op21ForeachSigmoidInplaceE_ZTIN2ge2op21ForeachSigmoidInplaceE_ZTSN2ge2op14ForeachSigmoidE_ZTIN2ge2op14ForeachSigmoidE_ZTSN2ge2op19RoiAlignRotatedGradE_ZTIN2ge2op19RoiAlignRotatedGradE_ZTSN2ge2op27ForeachAddcdivScalarInplaceE_ZTIN2ge2op27ForeachAddcdivScalarInplaceE_ZTSN2ge2op20ForeachAddcdivScalarE_ZTIN2ge2op20ForeachAddcdivScalarE_ZTSN2ge2op25ForeachAddcdivListInplaceE_ZTIN2ge2op25ForeachAddcdivListInplaceE_ZTSN2ge2op18ForeachAddcdivListE_ZTIN2ge2op18ForeachAddcdivListE_ZTSN2ge2op27ForeachAddcmulScalarInplaceE_ZTIN2ge2op27ForeachAddcmulScalarInplaceE_ZTSN2ge2op20ForeachAddcmulScalarE_ZTIN2ge2op20ForeachAddcmulScalarE_ZTSN2ge2op25ForeachAddcmulListInplaceE_ZTIN2ge2op25ForeachAddcmulListInplaceE_ZTSN2ge2op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HHHPXHZ[H5H=sZH1HH5UH=XZ1ɻfHH9fDHH9fDHUHiHH-f.SHH[^yHHAMCTAMCT_LOG_DUMPamct_logamct_log/amct_acl.logge.exec.atomicCleanPolicyge.exec.staticMemoryPolicyge.cmChiefIpge.cmChiefPortge.cmChiefWorkerDevicege.cmWorkerIpge.cmWorkerSizege.optionNameMapstream_sync_timeoutevent_sync_timeoutge.distributed_cluster_buildge.offline_model_relationge.cluster_configge.offline_hccl_compilege.streamNumge.headStreamge.perfLevelge.encryptModege.ekFilege.certFilege.hwKeyFilege.privateKeyFilege.frameworkTypege.calibrationConfFilege.insertOpFilege.outputNodeNamege.compressFlagge.exec.precision_modege.exec.precision_mode_v2ge.exec.tuneDeviceIdsge.exec.single_opge.trainFlagge.runFlagge.enabledLocalFmkopge.TBE_plugin_pathge.streamMaxParallelNumac_parallel_enablege.outputDatatypege.opSelectImplmodege.optypelistForImplmodege.hcomParallelge.fusionTensorSizege.inputShapege.dynamicNodeTypege.autoTuneModege.socVersionge.virtual_typege.engineTypege.exec.exclude_enginesge.aicoreNumge.l1Fusionge.bufferOptimizege.enableSmallChannelge.enableCompressWeightge.enableSparseMatrixWeightge.fusionSwitchFilege.compressionOptimizeConfge.customizeDtypesop_debug_configge.saveOriginalModelge.originalModelFilege.outputMaxSizege.INPUT_NODES_SET_FP16ge.opDebugLevelge.mdl_bank_pathge.display_model_infoge.op_bank_pathge.op_bank_updatege.hcomMultiModege.performance_modege.jit_compilege.exec.modify_mixlistge.exec.op_precision_modege.exec.allow_hf32ge.exec.opWaitTimeoutge.exec.opExecuteTimeoutge.externalWeightge.deterministicge.quant_dumpableinput_formatinput_shapeinput_shape_rangeop_name_mapge.dynamicBatchSizege.dynamicImageSizege.dynamicDimsge.exec.disableReuseMemoryge.debugDirge.op_compiler_cache_dirge.op_compiler_cache_modege.build_inner_modelge.enableGraphParallelge.graphParallelOptionPathis_input_adjust_hw_layoutis_output_adjust_hw_layoutenable_scope_fusion_passesinput_data_namescompress_weight_confge.enableSingleStreaminputDataDirconfigFiledeviceIdipAddrgroupIdAscend310Ascend310P3Ascend310P1Ascend910AAscend910BAscend610SD3403Ascend910B1Ascend910B2Ascend910B3Ascend910B4BS9SX1AABS9SX1ABBS9SX1ACAscend310B1Ascend310B2Ascend310B3Ascend310B4Ascend910B2CAS31XM1XAscend910C1Ascend910C2Ascend910C3Ascend910C4Ascend910B4-1Ascend910C4-1EO0001EO0002EO0003EO0004EO9999[ERROR]erroramct_graph_calibration.cpp[%s:%d]Failed to init log. ge.exec.memoryOptimizationPolicyge.shape_generalized_build_mode[%s:%d]Failed to init report error message. [%s:%d]Failed to initialize AMCT logger. compression_optimize_confcalibration{:input_data_dirconfig_fileout_nodesinput_fp16_nodesinfer_socinfer_device_idinfer_ipinfer_portinfer_aicore_numinfer_group_iddeviceacl_already_initializedbuild_graph_already_initializedacl_graph_calibration.cppinner_graph_calibration.cpp[INFO]DepthwiseConv2DConv3Dfloat32float16others[%s:%d]graph is not supported for quantization. [%s:%d]Failed to init CalibrationInitializer. [%s:%d]Start to do auto-nuq-config select [%s:%d]Failed to do auto-nuq-select [%s:%d]Failed to finalize CalibrationInitializer. [%s:%d]Failed to excute InnerQuantizeGraph failed. [%s:%d]Do amct inner graph calibration success! Invalid input fp16 nodes, please check the configuration.[%s:%d]InputDataDirConfig find null INPUT_DATA_DIR. Invalid input data directory, please check the configuration.[%s:%d]INPUT_DATA_DIR %s in quantizeConfigs is invalid. [%s:%d]Mising config 'INPUT_DATA_DIR' in quantizeConfigs. [%s:%d]Missing required config 'INPUT_SHAPE' in quantizeConfigs for calibration. Please specify it! Invalid input shape, please check the configuration.[%s:%d]null 'INPUT_SHAPE' in quantizeConfigs for calibration. Please specify it! [%s:%d]ConfigFileConfig find null CONFIG_FILE. Input config file invalid, please check the configuration.[%s:%d]CONFIG_FILE %s is invalid! [%s:%d]OutNodesConfig find null OUT_NODES. Invalid out nodes, please check the configuration.[%s:%d]DeviceIdConfig find invalid DEVICE_ID. Invalid device id, please check the configuration.[%s:%d]IpConfig find null IP. Invalid IP, please check the configuration.[%s:%d]PortConfig find null PORT. Invalid port, please check the configuration.[%s:%d]AicoreNumConfig find null AICORE_NUM. Invalid aicore num, please check the configuration.[%s:%d]GroupIdConfig find null GROUP_ID. Invalid group id, please check the configuration.[%s:%d]QuantizeConfig has 'INSERT_OP_FILE': %s. [%s:%d]InputFp16NodesConfig find null INPUT_FP16_NODES. [%s:%d]INPUT_FP16_NODES is %s. [%s:%d]null 'INPUT_FORMAT' in quantizeConfigs for calibration. Please specify it! Invalid input format, please check the configuration.[%s:%d]Get unsupported INPUT_FORMAT %s! Invalid Input format, please check the configuration.[%s:%d]Missing required config 'SOC_VERSION' in quantizeConfigs for calibration. Please specify it! Invalid SOC version, please check the configuration.[%s:%d]SocVersionConfig find null SOC_VERSION. [%s:%d]Get unsupported SOC_VERSION %s! [%s:%d]Parse input name failed. Please confirm whether the input name and shape is splitted by ':'. [%s:%d]Input node name [%s] is not found in graph. Please confirm whether this node name exits. ,[DEBUG]debugmap::atN4amct17AclCaliConfigBaseEN4amct18InputDataDirConfigEN4amct16InputShapeConfigEN4amct17InputFormatConfigEN4amct16ConfigFileConfigEN4amct16SocVersionConfigEN4amct14LogLevelConfigEN4amct14OutNodesConfigEN4amct14DeviceIdConfigEN4amct8IpConfigEN4amct10PortConfigEN4amct15AicoreNumConfigEN4amct13GroupIdConfigEN4amct18InsertOpFileConfigEN4amct20InputFp16NodesConfigE;amct_calibration_config.cpp[%s:%d]invalid file %s. invalid file: [%s:%d]open file %s failed. [%s:%d]no amct calibration. unknown calibration key [%s:%d]find no calibration start/end key, get quant config failed. find no calibration start/end key, get quant config failed[%s:%d]calibration config contains inherit key, %s. [%s:%d]input_shape contains non-numeric character %s. The valid format is [input_name:x,x,x,x]. input shape contains non-numeric character[%s:%d]calibration config contains unknown key, %s. [%s:%d]empty calibration config value. empty calibration config value[%s:%d]no optional config, skip parser. [%s:%d]optional config not set, skip parser. [%s:%d]no compression_optimize_conf, skip quant. [%s:%d]no ge compression_optimize_conf, skip quant. config_parser.cppFP32[%s:%d]CheckConfigs find null key. [%s:%d]Find invalid quant config %s [%s:%d]ConfigParser::Parse failed! [%s:%d]Parse find null configKey key. [%s:%d]Parse find null parsedConfigValue. [%s:%d]Collect ACL globalOptions failed! [%s:%d]Collect ACL buildOptions failed! [%s:%d]Collect ACL caliOptions failed! [%s:%d]Collect ACL deviceOptions failed! [%s:%d]AMCT ConfigParser has already been initialized, Passed. [%s:%d]Check quantizeConfigs failed! [%s:%d]Parse quantizeConfigs failed! [%s:%d]Collect ACL options failed! quantize_api.cpp[%s:%d]sample process failed PlaceholderWithDefaultTensorType::ALL()NonZeroWithValueShapeV2TensorType({DT_INT32})SqueezeV2ReverseSequenceseq_lengthsseq_dimbatch_dimStopGradientBroadcastGradientArgsy1y2ListDiffout_idxUniqueWithCountsExt2inverse_idxsortedreturn_inverseEmptyinitGatherShapesListListIntRankSortV2descendingExpandDimsExpandUniqueEditDistanceTensorType({DT_INT64})hypothesis_indicesTensorType::BasicType()hypothesis_valueshypothesis_shapetruth_indicestruth_valuestruth_shapenormalizeTensorType({DT_FLOAT})RaggedTensorFromVariantTensorType({DT_VARIANT})encoded_raggedoutput_nested_splitsoutput_dense_valuesinput_ragged_rankoutput_ragged_rankTvaluesTsplitsRefData"T"SqueezeTransShapeoutShapeReadVariableOpNonZeroWithValueShapeout_valueout_indexGetShapeUpdateTensorDescLowerBoundsorted_xout_typeUniqueWithCountsMatrixBandPartnum_lowernum_upperBroadcastArgsUniqueConsecutiveTensorType::IndexNumberType()return_idxreturn_countsUniqueExt2InvertPermutationSqueezeV3GuaranteeConstNonZeroWithValuetransposeEnsureShapeUnsqueezeV3FingerprintTensorType({DT_STRING})methodTensorType({DT_UINT8})ExpandDPreventGradientmessagePlaceHolderpeerIndexparentIdparentOpTypeanchorIndexUniqueWithCountsAndSortingNonZeroQueueDataqueue_nameoutput_typesoutput_shapesShapeNIdentityNMirrorPadGradpaddingsWhereReshapenum_axesSnapshotUnsqueezeCheckNumericsUnravelIndexFileConstantfile_pathfile_idUnsqueezeV2MirrorPadUpperBoundViewCopydstdst_sizedst_stridedst_storage_offsetsrcsrc_sizesrc_stridesrc_storage_offsetSummary_ParallelConcatStartEndINT8NCHWNHWCNCDHWNDHWC8000/record.txtconfig_ipconfig_portconfig_device_listconfig_aicore_numconfig_group_idtemp.om[%s:%d]Do graph copy failed. autonuqautonuqfusionnuqTemp[%s:%d]sample process destroy resource failed! TensorType({DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_UINT32, DT_INT64, DT_UINT64, DT_BOOL})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_BOOL, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_INT32, DT_INT64})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING})TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_UINT8, DT_INT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64})TensorType({DT_FLOAT, DT_DOUBLE, DT_INT32, DT_UINT8, DT_INT16, DT_INT8, DT_COMPLEX64, DT_INT64, DT_QINT8, DT_QUINT8, DT_QINT32, DT_QINT16, DT_QUINT16, DT_UINT16, DT_COMPLEX128, DT_FLOAT16, DT_UINT32, DT_UINT64, DT_BOOL, DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING, DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE, DT_STRING, DT_BFLOAT16})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32,DT_INT64, DT_INT8, DT_UINT8, DT_BOOL, DT_BF16})TensorType({DT_INT16, DT_INT32, DT_INT64})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_DOUBLE})TensorType({DT_BOOL, DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT32, DT_UINT8, DT_INT64, DT_UINT64, DT_INT16, DT_UINT16, DT_DOUBLE})TensorType({DT_INT32,DT_INT64})TensorType({ DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_STRING })TensorType({ DT_INT32, DT_INT64 })TensorType({ DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128 })TensorType({ DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128})TensorType({BasicType(), DT_BOOL})TensorType({DT_INT8,DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT,DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32, DT_INT8, DT_UINT8, DT_BOOL})TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_INT4, DT_INT8, DT_INT16, DT_UINT16, DT_UINT8, DT_INT32, DT_INT64, DT_UINT32, DT_UINT64, DT_BOOL, DT_DOUBLE})TensorType({BasicType(), DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_UINT32, DT_INT64, DT_UINT64})TensorType({DT_DOUBLE, DT_FLOAT, DT_FLOAT16, DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_UINT32, DT_INT64, DT_UINT64, DT_BOOL, DT_BF16})TensorType({DT_INT64, DT_INT32})TensorType({ DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128 })TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE})TensorType({ DT_INT8, DT_UINT8, DT_INT16, DT_UINT16, DT_INT32, DT_INT64, DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128 })[%s:%d]get SearchN real result when open jointQuant. [%s:%d]close SearchN by default, shift_bit is set to 0. [%s:%d]Failed to init AMCT configParser. [%s:%d]Failed to init AMCT record dumper. [%s:%d]Failed to init AMCT graph dumper. [%s:%d]Failed to SetConfigParser. [%s:%d][ input_shape ] in the config is invalid or null. [%s:%d][ input_fp16_nodes ] in the config is invalid or null. [%s:%d]Failed to init AMCT Configuration. [%s:%d][ input_data_dir ] in the config is invalid or null. [%s:%d]OUT_NODES's value %s is invalid! [%s:%d]SampleProcess Init infer resource failed [%s:%d]Do PreFusion Optimizer failed. [%s:%d]Do GenerateCalibrationGraph optimizer pass failed. [%s:%d]Do calibration optimizer pass failed. [%s:%d]GraphBuildInSubprocess failed, ret = %d. [%s:%d]Calibration Inference failed! [%s:%d]Get result from calibration inference output failed! [%s:%d]Do calibration successfully. [%s:%d]Do save optimizer pass failed. [%s:%d]Do set output optimizer pass failed. [%s:%d]Do pre fusion for original graph failed. [%s:%d]Check dual quant layer config failed. [%s:%d]Check prefused graph failed [%s:%d]Failed to get original output data type. [%s:%d]Check nuq config layer's weight-size failed. [%s:%d]Generate calibration Graph failed. [%s:%d]Do Calibration failed. [%s:%d]Do GenerateDeployGraph failed. [%s:%d]Do graph copy failed in auto-nuq-search. [%s:%d]Do pre fusion for original graph failed in auto-nuq-search. [%s:%d]Do fused graph copy failed in auto-nuq-search. [%s:%d]Check prefused graph failed in auto-nuq-search. [%s:%d]Failed to get original output data type in auto-nuq model. [%s:%d]Check prefused graph failed in auto-nuq search. [%s:%d]Check nuq config layer's weight-size failed in auto-nuq-search. [%s:%d]Generate calibration Graph failed in auto-nuq-search. [%s:%d]Do GenerateDeployGraph failed in auto-nuq-search. [%s:%d]Auto nuq search do not find any memBoundLayer. [%s:%d]Auto nuq search begin select memBoundLayer. [%s:%d]Auto nuq search begin update memBoundLayer config. [%s:%d]Update memBoundLayer config failed.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_EN2ge8OperatorEN2ge2op10LowerBoundEN2ge2op15ReverseSequenceEN2ge2op14MatrixBandPartEN2ge2op16UniqueWithCountsEN2ge2op6UniqueEN2ge2op10UniqueExt2EN2ge2op17InvertPermutationEN2ge2op13CheckNumericsEN2ge2op12UnravelIndexEN2ge2op10UpperBoundEN2ge2op20UniqueWithCountsExt2EN2ge2op9MirrorPadEN2ge2op8ListDiffEN2ge2op20_ParallelConcatStartEN2ge2op5ConstEN2ge2op8ConstantEN2ge2op12FileConstantEN2ge2op8SnapshotEN2ge2op14GuaranteeConstEN2ge2op13BroadcastArgsEN2ge2op15PreventGradientEN2ge2op21BroadcastGradientArgsEN2ge2op12StopGradientEN2ge2op8IdentityEN2ge2op9IdentityNEN2ge2op10ExpandDimsEN2ge2op9UnsqueezeEN2ge2op11UnsqueezeV2EN2ge2op11UnsqueezeV3EN2ge2op7ReshapeEN2ge2op7SqueezeEN2ge2op9SqueezeV2EN2ge2op9SqueezeV3EN2ge2op4RankEN2ge2op4SizeEN2ge2op4DataEN2ge2op11PlaceHolderEN2ge2op22PlaceholderWithDefaultEN2ge2op14ReadVariableOpEN2ge2op3EndEN2ge2op7SummaryEN2ge2op5ShapeEN2ge2op12GatherShapesEN2ge2op6ShapeNEN2ge2op5EmptyEN2ge2op13MirrorPadGradEN2ge2op5WhereEN2ge2op4CopyEN2ge2op8ViewCopyEN2ge2op11FingerprintEN2ge2op10TransShapeEN2ge2op12EditDistanceEN2ge2op6SortV2EN2ge2op6ExpandEN2ge2op7NonZeroEN2ge2op16NonZeroWithValueEN2ge2op21NonZeroWithValueShapeEN2ge2op23NonZeroWithValueShapeV2EN2ge2op7ExpandDEN2ge2op8GetShapeEN2ge2op16UpdateTensorDescEN2ge2op9QueueDataEN2ge2op11EnsureShapeEN2ge2op17UniqueConsecutiveEN2ge2op23RaggedTensorFromVariantEN2ge2op26UniqueWithCountsAndSortingEN2ge2op7RefDataE[WARNING]warningcontext.cppstoi[%s:%d]out_nodes info [%s] was not found in graph, so skipped. [%s:%d]outputNodes_ size is %zu [%s:%d]Don't get any valid --out_nodes params, will use topology out. [%s:%d]Node %s should be an output node, has set to output automatically [%s:%d]Name[%s] must have one ':' [%s:%d]Value[%s] is not positive integer [%s:%d]Get output info: node[%s] and index[%d] [%s:%d]invalid index in out_nodes. [%s:%d]node shape %s is invalid. [%s:%d]Update topo-out [%s] to [%s] [%s:%d]Unexpected output node [%s], please check amct_log. [%s:%d]find topology output [%s] DeconvolutionConv2DTransposeFullyConnectionBatchMatMulV2PoolingAvgPoolAvgPoolV2INT16IFMRN4amct8CapacityEconfiguration.cppCHECK failed: initial_value != NULL: [%s:%d] %s [%s:%d]simple config is: [%s:%d]detail config is: [, basic_string::erasecommon[%s:%d]Invalid graph. weightOnlyQuantizenuqQuantize[%s:%d]Parse %s failed. [%s:%d]can not find config for layer %s [%s:%d]version field can only be 1, but is %d CHECK failed: !value || common_config_ != nullptr: %s: __pos (which is %zu) > this->size() (which is %zu)[%s:%d]The param num_steps for nuq, only support 16 or 32. current is %u. [%s:%d]The param num_of_iteration for nuq, only support 0-5. current is %u. [%s:%d]The layer type %s does not support channel_wise arq quantize. [%s:%d]Asymmetric in arq is only supported in weight quant. Layer type %s's config is illeagal. [%s:%d]Activation quant config cannot be set in weight compress only mode. [%s:%d]Nuq quantization is not supported in weight compress only mode. [%s:%d]Invalid arq params for weight compress only mode. [%s:%d]Layer type %s dont't support INT16 quant. [%s:%d]IFMR calibration data type [INT16] cannot be set with auto-nuq. [%s:%d]The min_percentile must be greater than 0.5 and less than or equal to 1.0 [%s:%d]The max_percentile must be greater than 0.5 and less than or equal to 1.0 [%s:%d]search_start must be greater than zero. [%s:%d]search_start must be less than search_end. [%s:%d]The search_step must be greater than zero. [%s:%d]Layer type %s dont't support asymmetric quant. [%s:%d]Invalid ifmr params for quantization. [%s:%d]The layer type %s does not support nuq quantize. [%s:%d]Invalid nuq params for quantization. [%s:%d]Invalid arq params for quantization. [%s:%d]Layer %s will do dual quant. Repeated layers in skip_layers field. Please check the configuration.[%s:%d]Repeated layers:%s in skip_layers field. Skip layers are not in the graph. Please check the configuration.[%s:%d]Skip layers:%s are not in the graph. Skip layers do not support quantize. Please check the configuration.[%s:%d]Skip layers:%s do not support quantize. [%s:%d]Repeated types:%s in override_layer_types field. [%s:%d]Invalid ifmr params in %s override_layer_types [%s:%d]Layertype [ %s ] is not supported to do weight only quant. [%s:%d]Invalid override_layer_types for %s in weight compress only mode. [%s:%d]Layertype [ %s ] is not supported to do quant. [%s:%d]Invalid override_layer_types for %s. [%s:%d]Quantization for layer %s is not enabled, not need to disable. [%s:%d]Layer %s is not in the quant enabled node list, not need to disable [%s:%d]Quantization for layer %s is disabled [%s:%d]No float16 weight found in graph. Pass disable quant for no weight nodes. [%s:%d]Float16 node found in graph. Disable quant for no weight nodes. [%s:%d]All nodes have been skipped after disabling no weight node quant. The graph is not support for quantization. [%s:%d]Weight quantization for layer %s is not enabled, not need to disable. [%s:%d]Weight quantization for layer %s is disabled ::DetailConfig::IFMR_CalibrationDataType_IsValid(value)[%s:%d]node %s not support int16 calibration, set int8. [%s:%d]node %s asymmetric is false Repeated layers in override_layer_configs field. Please check the configuration.[%s:%d]Repeated layers:%s in override_layer_configs field. Override layers are not in the graph. Please check the configuration.[%s:%d]Override layers:%s are not in the graph. [%s:%d]Layer [ %s ] is not supported to do weight only quant. There is a layer not supported to do weight only quant. Please check the configuration.[%s:%d]Invalid override_layer_configs for %s in weight compress only mode. There is an invalid override_layer_configs to do weight only quant. Please check the configuration.[%s:%d]Layer [ %s ] is not supported to do quant. There is a layer not supported to do quant. Please check the configuration.[%s:%d]Invalid override_layer_configs for %s. There is an invalid override_layer_configs to do quant. Please check the configuration.[%s:%d]Repeated layers: %s in tensor_quantize field. [%s:%d]tensor quantize layer: %s are not in the graph. [%s:%d]tensor quant layers:%s do not support quantize. [%s:%d]Invalid input index %u in layer:%s tensor_quantize [%s:%d]Repeated layers:%s in tensor_quantize field. [%s:%d]Invalid ifmr params in layer:%s tensor_quantize [%s:%d]Layer %s has already been nuq-setting before auto-nuq. [%s:%d]mem-bound layer %s has been skipped. [%s:%d]mem-bound layer type %s has been skipped. [%s:%d]mem-bound layer %s has been overridden. [%s:%d]mem-bound layer %s is not support nuq. [%s:%d]mem-bound layer %s's weight size need greater than 32, don't support nuq. [%s:%d]mem-bound layer %s can configure nuq quant. [%s:%d]Found invalid producer for layer %s, quantization will be skipped. [%s:%d]All layers with invalid producer have been skipped. The graph is not support for quantization. Repeated layers in skip_fusion_layers field. Please check the configuration.[%s:%d]Repeated layers:%s in skip_fusion_layers field. Skip fusion layers are not in the graph. Please check the configuration.[%s:%d]Skip fusion layers:%s are not in the graph. Skip fusion layers do not support BN fusion. Please check the configuration.[%s:%d]Skip fusion layers:%s do not support BN fusion. Skip fusion layers do not support quantize. Please check the configuration.[%s:%d]Skip fusion layers:%s do not support quantize. [%s:%d]Repeated types:%s in skip_layer_types field. [%s:%d]Skip types: %s do not support quantize. [%s:%d]Invalid common_config in weight compress only mode. [%s:%d]Invalid ifmr params in common_config. [%s:%d]Invalid nuq params in common_config. [%s:%d]Invalid arq params in common_config. [%s:%d]Invalid version field. [%s:%d]Invalid BN fusion control field. [%s:%d]Invalid skip_layers field. [%s:%d]Invalid skip_layer_types field. [%s:%d]invalid tensor quantize filed. [%s:%d]Invalid override_layer_configs field. [%s:%d]Invalid override_layer_types field. [%s:%d]Invalid common_config field. [%s:%d]layer %s's weight size is less than num-steps in override, can not set nuq_quantize. [%s:%d]layer %s's weight size is less than num-steps, quantization will be skipped. [%s:%d]Unknown datatype for [ %s ], default as ge::DT_FLOAT. [%s:%d]Configuration has already been initialized, please uninitialize it first. No layer supported quantize in the graph.[%s:%d]No layer supported quantize in the graph. [%s:%d]Convert AMCT defination failed. [%s:%d]No layer need to be quantized in the graph in your configuration. No layer need to be quantized in the graph in your configuration.[%s:%d]Configuration bas already been initialized, please uninitialize it first. Parse config file failed. Please check the configuration.[%s:%d]memBoundLayers's size is 0. No mem-bound layer need update config. [%s:%d]Set config for mem-bound layer %s. [%s:%d]Add override config for mem-bound layer %s failed. [%s:%d]Create nuq config for mem-bound layer %s failed. [%s:%d]Convert config in auto-nuq failed. [%s:%d]dual quant layer %s do not support asymmetric quant. [%s:%d]dual quant layer %s do not support asymmetric quant, set symmetric. void DetailConfig::IFMR::_internal_set_dst_type(DetailConfig::IFMR_CalibrationDataType)ff?333?333?ff???? #? A@='7$tIPG@F@E8̼+o:Ainsert_quant_pass.cpp[%s:%d]pass run quant start _AscendQuant_AscendQuant_1[%s:%d]node %s don't have port%d node [%s:%d]invalid srcNodeOutIndex to do InsertQuantPass for layer %s [%s:%d]pass run quant success for node %s [%s:%d]pass run quant success for node %s on port 1      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_EN4amct15InsertQuantPassEquant_fusion_pass.cpp[%s:%d]Do fusion same quant layer from %s success! N4amct15QuantFusionPassEBiasAddBatchNormN4amct18DeleteIdentityPassEreserve_space_3is_trainingexponential_avg_factorBatchNorm3DBatchNormExt2input_scaleinput_meaninput_varianceoutput_meanoutput_varianceoutput_reserve_space_1output_reserve_space_2BatchNormGrady_backpropscale_backpropoffset_backpropreserve_space_4reserve_space_5BatchNorm3DGradBatchNormGradExt2Mul_1Mul_2Neg_0RsqrtRsqrt_0Identity_0Identity_1Add_1Identity_2Reshape_0Reshape_1Const_0Const_1Reshape_2Const_2bn_scale_false_training_falseSub_0bn_training_falseIdentity_3bn_training_false_nchwReshape_3Const_3ReadVariableOp_0ReadVariableOp_1VariableReadVariableOp_2Constant_0Constant_1Constant_2bn_training_false_graphReadVariableOp_3bn_training_false_nchw_graphConstant_3Add_0SyncBatchNormGatherStatstotal_sumtotal_square_sumsample_countbatch_invstdBNInferenceDuse_global_statsL2NormalizeGradBNInferenceL2NormalizeSyncBatchNormBackwardElemtsave_inputmean_dymean_dy_xmugrad_inputSyncBNTrainingUpdaterunning_meanrunning_mean_updateSyncBatchNormBackwardReducesum_dysum_dy_dx_padinvert_stdsum_dy_xmumean_allinvert_std_allcount_allmean_broadcastrunning_varrunning_var_updatebeginNodedataOutNodereplace_bn_train_false_pass[%s:%d]Add data edge failed! [%s:%d]Create scale node. [%s:%d]Create offset node. _offset_const[%s:%d]Find no data node. [%s:%d]Get epsilon failed. bn_center_false_training_falsebn_center_false_training_false_nchwbn_scale_center_false_training_falsebn_scale_false_training_false_nchwbn_center_false_training_false_graphbn_center_false_training_false_nchw_graphbn_scale_center_false_training_false_graphbn_scale_false_training_false_graphbn_scale_false_training_false_nchw_graphbn_center_false_training_false_graph_simplebn_center_false_training_false_nchw_graph_simplebn_scale_center_false_training_false_graph_simplereplace_bn_train_false_pass.cpp[%s:%d]Get value tensor of node failed! [%s:%d]Tensor dim of input node is not equal to 1. [%s:%d]Tensor data type of input node is not float or float16. [%s:%d]Get value of epsilon failed. [%s:%d]Epsilon data type is not float32/float16 [%s:%d]node %s don't have port0 ndoe. [%s:%d]Get output desc failed. [%s:%d]Update node %s input[%lu] desc failed. [%s:%d]Get tensor of shape node failed! SyncBatchNormGatherStatsWithCounts[%s:%d]Get value tensor of [%s] failed! [%s:%d]Replace variable op [%s] by const op. [%s:%d]Remove node %s from graph failed! [%s:%d]Remove node from graph failed! [%s:%d]get node tensor failed. [%s:%d]Transfor bn_input dataType to float16 before add adge failed! [%s:%d]Update batch norm input[%d] data type failed. [%s:%d]Update node output[0] desc failed. [%s:%d]Node %s output %s is outsize the pattern. [%s:%d]Define replace bn train false pass. [%s:%d]Replace variable op by const op failed. [%s:%d]Get tensor of mean failed! [%s:%d]Add edge for batch norm node failed! [%s:%d]Inputs num of node %s is not equal to 2. [%s:%d]Get data node name failed. [%s:%d]Get output desc of data node %s failed. [%s:%d]node %s don't have weight. [%s:%d]Get data node info failed! [%s:%d]Get data out port index failed! [%s:%d]Check reshape node failed. [%s:%d]The pattern is nchw but data node format is nhwc. [%s:%d]The pattern is ncdhw but data node format is ndhwc. [%s:%d]Do not support bn fuse. [%s:%d]dataNode is not refered by single Node. [%s:%d]Enter replace bn train false pass. [%s:%d]Skip bn train false fuse. [%s:%d]DeleteUnusefulNode failed. [%s:%d]Construct fused graph failed! [%s:%d]Finish replace bn train false do pass. [%s:%d]Reshape node output format is not %s.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_E*N2ge2opUlRKNS_12AscendStringEE77_E*N2ge2opUlRKNS_12AscendStringEE78_E*N2ge2opUlRKNS_12AscendStringEE79_E*N2ge2opUlRKNS_12AscendStringEE80_EN4amct23ReplaceBnTrainFalsePassEN2ge2op11L2NormalizeEN2ge2op15L2NormalizeGradEN2ge2op9BatchNormEN2ge2op34SyncBatchNormGatherStatsWithCountsEN2ge2op20SyncBNTrainingUpdateEN2ge2op27SyncBatchNormBackwardReduceEN2ge2op26SyncBatchNormBackwardElemtEN2ge2op24SyncBatchNormGatherStatsEN2ge2op11BatchNorm3DEN2ge2op13BatchNormExt2EN2ge2op13BatchNormGradEN2ge2op15BatchNorm3DGradEN2ge2op17BatchNormGradExt2EN2ge2op11BNInferenceEN2ge2op12BNInferenceDEfff?AddV2adjust_bias_pass.cpp[%s:%d]Do AdjustBiasPass for node %s successfully. N4amct14AdjustBiasPassEadjust_weight_pass.cpp_copy[%s:%d]start to copy weight tensor [%s:%d]cannot get tensor of weights      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_EN4amct16AdjustWeightPassEadjust_output_pass.cpp_Identity[%s:%d]Need to reset output node. [%s:%d]No need to reset output node. [%s:%d]Layer output %s need reset.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_EN4amct16AdjustOutputPassEweight_algorithm.cpp[%s:%d]Get weight data failed [%s:%d]%s arq weight fake quant failed! [%s:%d]%s nuq weight fake quant failed! [%s:%d]%s weight quant failed! [%s:%d]get node [%s] attr adj_x2 fail, assume it is default value false. [%s:%d]get node [%s] attr transpose fail, assume it is default value false. weight_calibration_pass.cpp[%s:%d]rawData is null joint quant layers [%s:%d]get zero union node to do joint quant from %s [%s:%d]node %s can't get tensor data [%s:%d]joint quant weight %s transpose failed [%s:%d]weight in layer %s transpose failed [%s:%d]Fail to excute WeightFakeQuantNuq! [%s:%d]Get cout for layer %s failed! [%s:%d]layer %s transpose failed [%s:%d]Fail to excute WeightFakeQuant with trans! [%s:%d]Fail to excute WeightFakeQuant without trans! [%s:%d]weight is not a const node for %s [%s:%d]node %s weight tensor's cout is zero [%s:%d]weight calibration for joint quant layers %s [%s:%d]concat weight in joint quant layers %s failed [%s:%d]Fail to excute joint quant WeightFakeQuant! [%s:%d]split weight in joint quant layers %s failed [%s:%d]Do joint quant weight calibration pass start. [%s:%d]weight calibration for %s [%s:%d]area factor for %s is zero in divisor. [%s:%d]layer %s run WeightFakeQuantNuq failed [%s:%d]layer %s run WeightFakeQuantNuq successfully [%s:%d]layer %s run WeightFakeQuantArq failed [%s:%d]layer %s run WeightFakeQuantArq successfully vector::_M_default_appendN4amct21WeightCalibrationPassE?weight_quant_pass.cpp[%s:%d]quantData is null _AscendWeightQuant[%s:%d]weightData is null [%s:%d]transpose layer %s original weight failed [%s:%d]transpose layer %s quanted weight failed [%s:%d]run WeightQuantPass start [%s:%d]weight shape size should be non-negative [%s:%d]malloc %ld bytes memory fail. [%s:%d]WeightQuant with trans failed [%s:%d]WeightQuant without trans failed [%s:%d]layer %s run WeightQuantArq failed [%s:%d]run WeightQuantPass successful for node %s      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_EN4amct15WeightQuantPassEconst_folding_pass.cpp[%s:%d]Current pop node [%s] _fold_identity_fold_shapeconst-foldinggraphCopy[%s:%d]Construct failed! [%s:%d]RunSubGraph failed! Enter[%s:%d]Deconstruct Will pop back [%zu] visited node [%s:%d]ConstructVisited pop Node [%s] [%s:%d]ConstFoldingPass findNotConstNodeOutIdx not find [%s]'s Idx! [%s:%d]Find nonconst input node [%s] [%s:%d]ConstructVisited push back node [%s] [%s:%d]this idx is not a shape idx [%s:%d]vector of shape dims is not empty. [%s:%d]Node %s's output mount is not one, match failed! [%s:%d]outputOps get operator name failed! [%s:%d]Not find node [%s]'s nonconst input index info [%s:%d]ConstructVisited push back root node [%s] [%s:%d]Find nonconst node node [%s]'s subgraph [%s:%d]Construct sub graph is finished. [%s:%d]Search const sub-graph for %s failed. [%s:%d]Construct const sub-graph's output for %s failed. [%s:%d]RunSubGraph is starting. [%s:%d]Const Folding Inference Failed! [%s:%d]Const Folding Inference Success! [%s:%d]RunSubGraph is finished. [%s:%d]Construct and run (from graph copy) is starting. [%s:%d]Calculate outputOps index failed! [%s:%d]No outputOps have been add! [%s:%d]Construct and run (from graph copy) is finished. [%s:%d]ConstFoldingPass FindMatchNodes failed! [%s:%d]No matched nodes for const folding pass! [%s:%d]No outputOps have been add, const folding pass will not run! [%s:%d]ConstFoldingPass ConstructAndRun failed! [%s:%d]ConstFoldingPass started to process node [%s] [%s:%d]ConstFolding DoPass failed! [%s:%d]ConstFoldingPass CalculateFoldBonus do not find corresponding idx! [%s:%d]ConstructConstOps get original tensor desc failed! [%s:%d]Node %s origin data type is not DT_FLOAT or DT_FLOAT16. Pass const folding process. [%s:%d]current subgraph's output const size is %zu! [%s:%d]current const size is %zu! [%s:%d]current subgraph's output const size final is %zu! [%s:%d]Node [%s] can not get enough storage bonus for constfolding! [%s:%d]ConstructConstOps for node [%s:%d] [%s:%d]NonconstOps node [%s:%d] [%s:%d]ConstFoldingPass constructConstOps do not find corresponding idx! [%s:%d]%s's origin data type is DT_FLOAT. [%s:%d]%s's origin data type is DT_FLOAT16. [%s:%d]Remove not const node [%s] edge fail! [%s:%d]Adding const node edge [%s]-[0] => [%s]-[%d]. [%s:%d]Add const node [%s] edge fail! [%s:%d]Find output data edge for node [%s] [%s:%d]Find output control edge for node [%s] [%s:%d]ConstFolding failed for node [%s] due to not enough storage bonus! [%s:%d]ConstFolding removed subgraph node failed for node [%s]! [%s:%d]Cannot find const node after constfloding! [%s:%d]Add control edge failed after constfloding! [%s:%d]Destroy ori-sub-graph failed for node [%s]! [%s:%d]Current node [%s] will not change nonconst subgraph! [%s:%d]ConstFoldingPass constructConstNodes failed for node [%s]! [%s:%d]Relink control edge failed for node [%s]! [%s:%d]Modify original graph node [%s] is starting. [%s:%d]ConstFoldingPass modifyOriGraph fail! [%s:%d]ConstFolding has processed node [%s]! [%s:%d]Modify original graph node [%s] is finished.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_EN4amct16ConstFoldingPassEbatchnorm_mul_fusion_pass.cpp[%s:%d]Get scale data failed [%s:%d]the cout dim of mul and node %s are not equal [%s:%d]%s cannot do fusion because shape of Mul's const input must be 1 except dim cout [%s:%d]The scale type of %s is not float32 or float16, skip Batchnorm fusion. [%s:%d]The offset type of %s is not float32 or float16, skip Batchnorm fusion. [%s:%d]The attr 'is_training' of %s BatchNorm node is True, skip batchnorm mul fusion. [%s:%d]%s cannot do fusion because dim of Mul's const input must <= %lu [%s:%d]Enter Batchnorm Mul fusion pass for layer %s [%s:%d]the producer of layer %s is not quantable, skip batchnorm mul fusion [%s:%d]Skip batchnorm mul fusion for layer %s [%s:%d]can't get mul node for node %s. [%s:%d]can't get port %d node for node %s. [%s:%d]the another input of mul node %s is not Const [%s:%d]Get offset data failed. [%s:%d]Get const data failed. [%s:%d]OpEleMul 'scale' and 'const' failed in bn-mul fusion. [%s:%d]OpEleMul 'offset' and 'const' failed in bn-mul fusion. vector::_M_fill_insertN4amct22BatchnormMulFusionPassEbatchnorm_add_fusion_pass.cpp[%s:%d]Get offset data fail. [%s:%d]the cout dim of add and node %s are not equal [%s:%d]%s cannot do fusion because shape of Add's const input must be 1 except dim cout [%s:%d]The attr 'is_training' of %s BatchNorm node is True, skip batchnorm add fusion. [%s:%d]%s cannot do fusion because dim of Add's const input must <= %lu [%s:%d]Enter Batchnorm Add fusion pass for layer %s [%s:%d]the producer of layer %s is not quantable, skip batchnorm add fusion [%s:%d]Skip batchnorm add fusion for layer %s [%s:%d]can't get add node for node %s. [%s:%d]the another input of add node %s is not Const [%s:%d]OpEleAdd 'offset' and 'const' failed in bn-add fusion. N4amct22BatchnormAddFusionPassE[%s:%d]Get mean data failed. conv_batchnorm_fusion_pass.cpp[%s:%d]The element[%d]:%f is less than zero in post-processed variance Tensor [%s:%d]bn op[%s]'type is not 'const', skip Batchnorm fusion. [%s:%d]Get variance data failed. [%s:%d]Get scale data failed. [%s:%d]Invalid number in mean Tensor [%s:%d]Invalid number in variance Tensor [%s:%d]Invalid number in scale Tensor [%s:%d]Invalid number in offset Tensor [%s:%d]mean length %lu is different from kernel number %d [%s:%d]variance length %lu is different from kernel number %d [%s:%d]scale length %lu is different from kernel number %d [%s:%d]offset length %lu is different from kernel number %d [%s:%d]The attr 'is_training' of %s BatchNorm node is True, skip batchnorm fusion. [%s:%d]The attr 'use_global_stats' of %s BNInference node is False, skip batchnorm fusion. [%s:%d]Tensor mean type is not float32 or float16, skip Batchnorm fusion. [%s:%d]Tensor variance type is not float32 or float16, skip Batchnorm fusion. [%s:%d]Tensor momentum type is not float32, skip Batchnorm fusion. [%s:%d]momentum tensor is nullptr. [%s:%d]Tensor scale type is not float32 or float16, skip Batchnorm fusion. [%s:%d]Tensor offset type is not float32 or float16, skip Batchnorm fusion. [%s:%d]Get node %s actual cout-length failed [%s:%d]Get weight scale data failed. [%s:%d]Get origin weight data failed. [%s:%d]Get origin bias data failed. [%s:%d]Some element is less than zero, scaleFactor is %f, eps is %f [%s:%d]weightScaleData has zero value [%s:%d]Adjust node %s weight shape failed [%s:%d]Get weight fusion data failed [%s:%d]Adjust node %s weight shape inverse failed [%s:%d]Get bias offset data failed. [%s:%d]OpEleAdd 'bias' and 'biasOffset' failed in conv-bn fusion. [%s:%d]OpEleAdd 'weightScale' and 'biasOffset' failed in conv-bn fusion. [%s:%d]OpEleAdd 'biasOffset' and 'offset' failed in conv-bn fusion. [%s:%d]Enter conv batchnorm fusion pass for layer %s [%s:%d]insert biasnode failed, node %s can not fuse bn param [%s:%d]node %s don't have bias. [%s:%d]Skip conv batchnorm fusion for layer %s [%s:%d]Invalid valid in Tensor in layer %s [%s:%d]Failed to do BatchNorm Fusion for layer %s N4amct23ConvBatchnormFusionPassE4w+2group_conv_fusion_pass.cppfilterDilationpadding_valueConv3DBackpropFilterDConv3DTransposeDIsotonicRegressionoutput_dtypeDeformableOffsetsdeformable_groupsmodulatedConv3DTransposeConv3DBackpropInputDConv3DBackpropInputDeformableConv2DDepthwiseConv2DBackpropFilterTensorType({float16})TensorType({float32})filter_gradBiasAddGradConv2DBackpropFilterDQuantConv2DConv3DBackpropFilterLSTMcontw_xw_hc_0w_x_statich_tc_tnum_outputexpose_hiddenFixPipequant_scale_0relu_weight_0clip_value_0quant_scale_1relu_weight_1clip_value_1anti_quant_scaleanti_quant_offsetListStringfusion_op_listunit_listeltwise_modeConv2DTransposeDDeformableOffsetsGradgrad_offsetsDepthwiseConv2DBackpropInputDepthwiseConv2DBackpropInputDConv2DCompress_concat_weight_concat_bias[%s:%d]Node %s have out control node. Skip group conv fusion. [%s:%d]Remove conv node %s failed. TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_BF16})[%s:%d]Add weight data edge for fused conv node %s failed. [%s:%d]Add bias data edge for fused conv node %s failed. [%s:%d]Get input const data failed for %s. [%s:%d]Get input desc for %s failed. [%s:%d]Split dim for node %s and conv node cin dim %s is different. [%s:%d]Concat dim for node %s and conv node %s cout index is different. [%s:%d]Update output node to %s failed. [%s:%d]Remove split node %s failed [%s:%d]Add input data edge for fused conv node %s failed. [%s:%d]Add output data edge for fused conv node %s failed. [%s:%d]Split node %s have in control edge. Skip group conv fusion. [%s:%d]Concat node %s have in control edge. Skip group conv fusion. [%s:%d]Conv node %s have in control edge. Skip group conv fusion. TensorType({DT_INT8, DT_FLOAT16, DT_FLOAT})TensorType({DT_FLOAT16, DT_FLOAT32, DT_BF16})TensorType({DT_FLOAT16, DT_INT8, DT_BF16})TensorType({DT_FLOAT16, DT_INT32, DT_FLOAT32, DT_BF16})TensorType({DT_FLOAT16, DT_INT8, DT_INT4})TensorType({DT_FLOAT16, DT_INT32, DT_FLOAT})TensorType({DT_UINT64, DT_INT64})TensorType({DT_FLOAT32,DT_FLOAT16})TensorType({DT_FLOAT16,DT_FLOAT32,DT_INT16,DT_INT32})TensorType({DT_FLOAT16,DT_FLOAT32})TensorType({DT_FLOAT16, DT_INT32, DT_FLOAT, DT_BF16})TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32})TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32, DT_INT8, DT_INT4})TensorType({DT_FLOAT16, DT_INT8, DT_FLOAT, DT_INT4})DepthwiseConv2DBackpropFilterDTensorType({DT_FLOAT16, DT_INT8})TensorType({DT_FLOAT16, DT_INT32})[%s:%d]Node %s is not Conv2D. Skip group conv fusion. [%s:%d]Conv node %s out nodes has more than one. Skip group conv fusion. [%s:%d]Conv node %s next node is not Concat or ConcatV2. Skip group conv fusion. [%s:%d]Conv node %s next node is a different concat node. Skip group conv fusion. [%s:%d]Concat node %s have input other than group conv nodes. Skip group conv fusion. [%s:%d]Node %s's weight node is not a Const op. [%s:%d]Get input tensor desc failed for node %s [%s:%d]Node %s's bias node is not a Const op. [%s:%d]Get required attibute strides failed for conv node %s. [%s:%d]Get required attibute pads failed for conv node %s. [%s:%d]Cannot get dilations for conv node %s. Use default value [1, 1, 1, 1]. [%s:%d]Cannot get groups for conv node %s. Use default value 1. [%s:%d]Conv node %s groups is bigger than one. Skip group conv fusion. [%s:%d]Conv node %s have different attrs. Skip group conv fusion. [%s:%d]Get data for node %s failed. [%s:%d]Transpose weight for %s failed. [%s:%d]Concat group conv weight for %s failed. [%s:%d]Bias is not a const node for %s [%s:%d]Concat group conv bias for %s failed. [%s:%d]Node %s is not quantized. Skip group conv fusion. [%s:%d]Conv nodes have different quant method. Skip group conv fusion. [%s:%d]Node %s have different quant config. Skip group conv fusion. [%s:%d]Do group conv fusion successfully. Add group conv node %s into graph. [%s:%d]Conv nodes have different dilations. [%s:%d]Conv nodes have different strides. [%s:%d]Conv nodes have different pads. [%s:%d]Conv nodes weight tensor have different format. [%s:%d]Conv nodes weight tensor have different shape. [%s:%d]Some conv paths have bias while others not. [%s:%d]Conv nodes bias tensor have different shape. [%s:%d]Conv nodes bias tensor have different format.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_E*N2ge2opUlRKNS_12AscendStringEE77_E*N2ge2opUlRKNS_12AscendStringEE78_E*N2ge2opUlRKNS_12AscendStringEE79_E*N2ge2opUlRKNS_12AscendStringEE80_E*N2ge2opUlRKNS_12AscendStringEE81_E*N2ge2opUlRKNS_12AscendStringEE82_E*N2ge2opUlRKNS_12AscendStringEE83_E*N2ge2opUlRKNS_12AscendStringEE84_E*N2ge2opUlRKNS_12AscendStringEE85_E*N2ge2opUlRKNS_12AscendStringEE86_E*N2ge2opUlRKNS_12AscendStringEE87_E*N2ge2opUlRKNS_12AscendStringEE88_E*N2ge2opUlRKNS_12AscendStringEE89_E*N2ge2opUlRKNS_12AscendStringEE90_E*N2ge2opUlRKNS_12AscendStringEE91_E*N2ge2opUlRKNS_12AscendStringEE92_E*N2ge2opUlRKNS_12AscendStringEE93_E*N2ge2opUlRKNS_12AscendStringEE94_E*N2ge2opUlRKNS_12AscendStringEE95_EN4amct19GroupConvFusionPassEN2ge2op29DepthwiseConv2DBackpropFilterEN2ge2op30DepthwiseConv2DBackpropFilterDEN2ge2op28DepthwiseConv2DBackpropInputEN2ge2op29DepthwiseConv2DBackpropInputDEN2ge2op15DepthwiseConv2DEN2ge2op11BiasAddGradEN2ge2op19Conv2DBackpropInputEN2ge2op20Conv2DBackpropInputDEN2ge2op13DeconvolutionEN2ge2op20Conv2DBackpropFilterEN2ge2op21Conv2DBackpropFilterDEN2ge2op6Conv2DEN2ge2op14Conv2DCompressEN2ge2op16DeformableConv2DEN2ge2op11QuantConv2DEN2ge2op6Conv3DEN2ge2op19Conv3DBackpropInputEN2ge2op20Conv3DBackpropInputDEN2ge2op4LSTMEN2ge2op20Conv3DBackpropFilterEN2ge2op21Conv3DBackpropFilterDEN2ge2op15Conv3DTransposeEN2ge2op16Conv3DTransposeDEN2ge2op15Conv2DTransposeEN2ge2op16Conv2DTransposeDEN2ge2op17DeformableOffsetsEN2ge2op21DeformableOffsetsGradEN2ge2op8DilationEN2ge2op7FixPipeEN2ge2op18IsotonicRegressionEscale_from_blobconv_scale_fusion_pass.cpp[%s:%d]Tensor scale type is not float32 or float16, skip Scale fusion. [%s:%d]Tensor offset type is not float32 or float16, skip Scale fusion. [%s:%d]Enter conv scale fusion pass for layer %s [%s:%d]Insert biasnode failed, node %s can not fuse scale param N4amct19ConvScaleFusionPassEEltwisematch_eltwise.cpp[%s:%d]layer %s not support joint quant: check union nodes config failed. [%s:%d]layer %s not support joint quant: check union nodes format failed. [%s:%d]layer %s not support joint quant: check union nodes weight channel failed. [%s:%d]layer %s not support joint quant: check union nodes dilation failed. matmulv2_transpose_x2_optimize_pass.cpp[%s:%d]transpose_x2 is not exist. [%s:%d]get attr transpose_x2 fail. [%s:%d]transpose_x2 is false. [%s:%d]Node %s MatMulV2TransposeX2OptimizePass MatchPattern fail for quantization is disable [%s:%d]Check transWeightTensor and weightTensor fail, dim is not %d or data's pointer is NULL. [%s:%d]weight is not constant. [%s:%d]Get weight attr 'value' fail for node %s [%s:%d]Trans weight fail for node %s [%s:%d]Relink %s to new trans weight. [%s:%d]MatMulV2 transpose_x2 optimize for %s [%s:%d]Find all MatMulV2 (transpose_x2 is true) nodes fail when processing %s [%s:%d]Copy a transposed weight fail when processing %s      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_EN4amct31MatMulV2TransposeX2OptimizePassEmulti_quant_optimize_pass.cpp[%s:%d]remove edge failed _AscendQuant__AscendAntiQuant[%s:%d]invalid scale value %f for layer %s [%s:%d]do multi quant optimize success for node %s      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_EN4amct22MultiQuantOptimizePassEMerge_0SwitchSwitch_0Merge_1Switch_1BatchNorm_0BatchNorm_1Switch_2Switch_3Switch_4Switch_5Switch_6Switch_7Switch_8Switch_9Identity_4Identity_5bn_branch_train_evalreplace_bn_branch_pass.cpp[%s:%d]Skip bn branch fuse. [%s:%d]Add input data edge failed for bn branch! [%s:%d]Add scale edge failed for bn branch! [%s:%d]Add offset edge failed for bn branch! [%s:%d]Add mean edge failed for bn branch! [%s:%d]Add variance edge failed for bn branch! [%s:%d]Add output edge failed for bn branch! [%s:%d]Update output name %s failed! [%s:%d]Get value of %s failed! [%s:%d]Get tensor data of %s failed! [%s:%d]The flag is_inference of %s BatchNorm branch is True, skip bn_branch fusion. [%s:%d]Get value of tensor failed! [%s:%d]The attr is_training of %s BatchNorm node is True, skip bn_branch fusion. [%s:%d]bn_inference and bn_training has different input index, skip bn_branch fusion. [%s:%d]Remove branch output node from graph failed! N4amct19ReplaceBnBranchPassEreplace_relu6_passreplace_relu6_pass.cpp[%s:%d]quant dst type %d _replace/relu[%s:%d]remove relu6 failed! Relu6SoftplusGradMishHardtanhGradThresholdV2ReluV2FastGeluV2SoftShrinkGradlambdHardSwishTensorType::UnaryDataType()TanhGradcomplex_conjSoftsignGradSoftsignRelu6GradSoftplusV2Gradinput_gradientsinput_featuresoutput_backpropsThresholdedReluFastGeluGradFastGeluGLUSiluGradSoftplusV2LogSigmoidGradHardShrinkMishGradtanhxCeluV2SeluGradoutputsHardShrinkGradTensorType(UnaryDataType)ThresholdV2DRelu6DSoftplusPReluGraddaEluGLUGradCelualpha1alpha2alpha3EluGradV2activationsis_resultHardSigmoidGradSoftShrinkEluGradLogSigmoidSeluBNLLHardSwishGradThresholdGradV2DHardSigmoidPReluReluGradV2[%s:%d]get quant scale failed [%s:%d]get quant offset failed [%s:%d]relu not limit to relu6, scale %f, offset %f! [%s:%d]relu6 multi output, skip replace relu6 [%s:%d]not quant int8, skip replace relu6 [%s:%d]get relu6 input desc failed! [%s:%d]get relu6 output desc failed! TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT8, DT_INT32, DT_INT16, DT_INT64, DT_UINT8, DT_UINT16, DT_QINT8, DT_BF16})[%s:%d]update relu input desc failed! [%s:%d]update relu output desc failed! [%s:%d]Add dequant to relu edge failed! [%s:%d]Add relu to quant edge failed! [%s:%d]get relu6 node failed! [%s:%d]get dequant node failed! [%s:%d]get quant node failed! TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_BF16})TensorType({ DT_BF16, DT_FLOAT16, DT_FLOAT })TensorType({ DT_B16, DT_FLOAT16, DT_FLOAT })TensorType({DT_FLOAT16, DT_FLOAT32, DT_INT8, DT_INT32, DT_UINT8, DT_INT64, DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT8, DT_INT32, DT_INT16, DT_INT64, DT_UINT8, DT_UINT16, DT_QINT8})TensorType({DT_UINT8, DT_UINT1})TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT})TensorType::FloatingDataType()TensorType({ DT_FLOAT, DT_FLOAT16 })TensorType({DT_FLOAT,DT_FLOAT16, DT_BF16})TensorType({DT_FLOAT,DT_FLOAT16})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT8, DT_INT32, DT_BF16})TensorType({DT_INT32, DT_FLOAT16, DT_BF16})replace relu6 pattern: dequant + relu6 + quant.*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_EN4amct16ReplaceRelu6PassEN2ge2op4GeluEN2ge2op9HardSwishEN2ge2op13HardSwishGradEN2ge2op5SwishEN2ge2op9SwishGradEN2ge2op8SiluGradEN2ge2op8GeluGradEN2ge2op8FastGeluEN2ge2op10FastGeluV2EN2ge2op12FastGeluGradEN2ge2op8TanhGradEN2ge2op4TanhEN2ge2op4ReluEN2ge2op5Relu6EN2ge2op6Relu6DEN2ge2op9Relu6GradEN2ge2op9EluGradV2EN2ge2op7SigmoidEN2ge2op11SigmoidGradEN2ge2op4BNLLEN2ge2op8SoftplusEN2ge2op12SoftplusGradEN2ge2op8SoftsignEN2ge2op12SoftsignGradEN2ge2op4SeluEN2ge2op8SeluGradEN2ge2op8ReluGradEN2ge2op10ReluGradV2EN2ge2op6ReluV2EN2ge2op5PReluEN2ge2op9PReluGradEN2ge2op3EluEN2ge2op4CeluEN2ge2op6CeluV2EN2ge2op7EluGradEN2ge2op9LeakyReluEN2ge2op13LeakyReluGradEN2ge2op16ThresholdGradV2DEN2ge2op12ThresholdV2DEN2ge2op4MishEN2ge2op8MishGradEN2ge2op12HardtanhGradEN2ge2op10SoftplusV2EN2ge2op14SoftplusV2GradEN2ge2op15ThresholdedReluEN2ge2op10HardShrinkEN2ge2op14HardShrinkGradEN2ge2op11HardSigmoidEN2ge2op10SoftShrinkEN2ge2op14SoftShrinkGradEN2ge2op14LogSigmoidGradEN2ge2op10LogSigmoidEN2ge2op15HardSigmoidGradEN2ge2op6ShrinkEN2ge2op11ThresholdV2EN2ge2op3GLUEN2ge2op7GLUGradEB@A*>%u_AscendAntiQuant_insert_quant_antiquant_pass.cpp[%s:%d]pass run quant+antiquant start [%s:%d]pass run quant+antiquant success for node %s      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_EN4amct24InsertQuantAntiquantPassEFusedMulAddNL2lossAtanhExpintMulsArgMindimensionFusedMulAddNThresholdTensorMoveStrideAddx1_c1_offsetx2_c1_offsetc1_lenMaximumGradInvGradAddsAtanGradrefvalidate_shapeuse_lockingMaxNFloorModMinimumRealDivLambApplyOptimizerAssigninputvinputminput3mul0_xmul1_xmul2_xmul3_xadd2_ydo_use_weightweight_decay_rateoutput0AcosFusedMulAddAddNdtriAsinTruncateDivXlog1pyAddMatMatElementsIsClosertolatolequal_nanBitwiseAndTensorType::IntegerDataType()LerpDivNoNanInvArgMinDMaskedScaleBitwiseOrFakeQuantWithMinMaxVarsnarrow_rangeArgMaxWithKout_max_valtopkAxpyV2"T3""T4"T3T4ArgMinWithValueKLDivCosineSimilarityinput_x1input_x2ArgMaxV2AssignSubAddcdivinput_dataSpenceLogicalOrTensorRedirectoutput_xAsinGradSignSquaredDifferenceDotPopulationCountLambApplyWeightAssigninput0input1input2input_paramMulNoNanLambUpdateWithLrV2x5greater_yselect_eAddcmulbackprops_wrt_xbackprops_wrt_minbackprops_wrt_maxdecimalsLogicalAndTensorEqualoutput_zAsinhOnesLikeAtan2SquareSumAllSquareSumV1DataCompareMaximumMinimumGradRintFresnelCosAcoshGradAcoshAdamApplyOneinput4output1output2DawsnClipByNormNoDivSumgreater_zerosselect_onesmaximum_onesApplyAdamV2global_grad_normstep_sizeadamadam_modeConfusionMulGradXdivySquareSumV2LessEqualCastLikeCeilFloorDivXlogySqrtGradAsinhGradReciprocalGradLambNextMVinput_mul3input_mul2input_realdiv1input_mul1input_mul0input_realdiv0input_mul4mul1_submul3_sub1mul4_xy3y4SquareFusedMulAddHardMaxPowAccumulateNV2NanToNumposinfneginfAdamApplyOneAssignGcdFloorBitwiseXorAcosGradNotEqualAssignAddSxpyZerosLikeKLDivV2log_targetFillsBesselI0eAdamApplyOneWithDecayAssignArgMaxGradDArgMaxDGreaterCosineEmbeddingLossmarginBiasbias_from_blobAtanBesselI1eAbsGradLessClipByValueV2clip_value_minclip_value_maxLambUpdateWithLrinput_greater1input_greater_realdivinput_realdivinput_subminimum_yLambNextRightinput_squaretruediv1_recipInvertGreaterEqualErfinvLambNextMVWithDecayFakeQuantWithMinMaxArgsApproximateEqualtoleranceAdamApplyOneWithDecayLogicalNotAxpyClipByValueArgMaxGradRsqrtGradTruncateModFresnelSinArgMaxWithValue_const_offset_weight_only_add_weight_only_const_scale_w_weight_only_mul_weight_only_AscendAntiQuant_weight_onlyinsert_weight_antiquant_pass.cpp[%s:%d]kernel index is %d, ndims is %d [%s:%d]Cannot get weight scale for node %s [%s:%d]The size of scaleW[%d] is not equal to offsetW[%d] for node %s [%s:%d]Node %s don't have weight. [%s:%d]Node %s's weight node is not Const. [%s:%d]Get tensor of %s failed. [%s:%d]Get cout kernel index failed for %s. TensorType({DT_FLOAT, DT_INT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_BF16, DT_COMPLEX32, DT_COMPLEX64})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT32, DT_INT16, DT_BF16})TensorType({DT_DOUBLE, DT_FLOAT16, DT_FLOAT, DT_INT32, DT_UINT32, DT_INT8, DT_UINT8, DT_UINT64, DT_INT64, DT_BOOL, DT_BF16})TensorType({NumberType(), DT_VARIANT})TensorType({DT_FLOAT, DT_BF16, DT_FLOAT16, DT_INT32, DT_INT8})TensorType({DT_FLOAT, DT_INT16, DT_INT32, DT_FLOAT16, DT_BF16})TensorType({DT_FLOAT16, DT_FLOAT, DT_FLOAT64, DT_INT32, DT_INT64})TensorType({DT_INT32, DT_INT64, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_BF16})TensorType({DT_BF16, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_INT32, DT_INT64})TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_DOUBLE, DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_INT32, DT_INT64, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT16, DT_FLOAT, DT_BF16, DT_DOUBLE, DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_INT32, DT_INT64, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT16, DT_FLOAT, DT_BF16, DT_DOUBLE, DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType{(DT_BF16, DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128)}TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT16, DT_FLOAT, DT_BF16, DT_DOUBLE, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_INT8, DT_UINT8, DT_INT32, DT_DOUBLE, DT_UINT16, DT_INT16, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128})TensorType({BasicType(), DT_BOOL, DT_BF16})TensorType({DT_FLOAT, DT_UINT8, DT_INT8, DT_INT32, DT_FLOAT16, DT_DOUBLE, DT_BF16})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128, DT_BF16})TensorType({DT_INT8, DT_FLOAT16, DT_FLOAT32})TensorType({DT_INT32, DT_FLOAT, DT_FLOAT16})TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_INT64, DT_INT32})TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_DOUBLE, DT_INT64})TensorType({ DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32, DT_DOUBLE, DT_INT64})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT8, DT_INT64, DT_INT16, DT_UINT16, DT_UINT64, DT_UINT32, DT_BF16})TensorType({DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_FLOAT16, DT_COMPLEX64, DT_COMPLEX128, DT_BF16})TensorType({DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_FLOAT16 DT_COMPLEX64, DT_COMPLEX128, DT_BF16})TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT, DT_FLOAT16, DT_BF16, DT_UINT8, DT_INT8, DT_INT32})TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT8, DT_DOUBLE, DT_INT64})FakeQuantWithMinMaxVarsPerChannelGradientTensorType(DT_FLOAT16, DT_BF16, DT_FLOAT, DT_INT32, DT_INT64, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128)TensorType({DT_FLOAT16, DT_BF16, DT_FLOAT, DT_DOUBLE, DT_INT8, DT_INT16, DT_INT32, DT_INT64})TensorType({DT_BOOL, DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT32, DT_UINT8, DT_INT64, DT_UINT64, DT_INT16, DT_UINT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_QINT8, DT_QUINT8, DT_QINT16, DT_QUINT16, DT_QINT32, DT_BF16, DT_UINT1})TensorType({DT_BOOL, DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT32, DT_UINT8, DT_INT64, DT_UINT64, DT_INT16, DT_UINT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_QINT8, DT_QUINT8, DT_QINT16, DT_QUINT16, DT_QINT32, DT_BF16, DT_COMPLEX32})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT64, DT_INT32, DT_INT8, DT_UINT8, DT_BOOL, DT_BF16})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT8, DT_UINT8, DT_INT16, DI_UINT16, DT_INT32, DT_INT64, DT_COMPLEX128, DT_BOOL, DT_BF16})TensorType({DT_FLOAT, DT_FLOAT16, DT_DOUBLE, DT_UINT8, DT_INT8, DT_UINT16, DT_INT16, DT_INT32, DT_INT64, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128, DT_BF16, DT_COMPLEX32})TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_INT8, DT_UINT8, DT_INT32})TensorType({DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT32, DT_INT64, DT_BF16})TensorType({DT_FLOAT, DT_BF16, DT_FLOAT16, DT_INT32, DT_INT8, DT_UINT8, DT_DOUBLE, DT_INT16, DT_INT64, DT_COMPLEX64, DT_COMPLEX128, DT_QUINT8, DT_QINT8, DT_QINT32, DT_STRING, DT_BOOL})TensorType({DT_UINT8, DT_INT8, DT_INT16, DT_INT32, DT_INT64, DT_FLOAT, DT_DOUBLE, DT_FLOAT16, DT_BF16, DT_BOOL, DT_COMPLEX64, DT_COMPLEX128})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT8, DT_UINT8, DT_INT32, DT_DOUBLE, DT_INT64, DT_UINT16, DT_INT16, DT_COMPLEX64, DT_COMPLEX128, DT_BF16, DT_COMPLEX32})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT8, DT_INT64, DT_INT16, DT_UINT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_BF16})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT8, DT_INT32, DT_UINT8, DT_INT64, DT_INT16,DT_UINT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_BF16})TensorType({DT_DOUBLE, DT_FLOAT16, DT_FLOAT, DT_BF16, DT_INT32, DT_INT64, DT_COMPLEX64, DT_COMPLEX128})TensorType({ DT_FLOAT16, DT_FLOAT })FakeQuantWithMinMaxVarsGradientTensorType({DT_FLOAT, DT_INT32, DT_INT64, DT_FLOAT16, DT_INT16, DT_INT8, DT_UINT8, DT_DOUBLE, DT_COMPLEX64, DT_BF16, DT_COMPLEX128})TensorType({BasicType(), DT_VARIANT})TensorType({DT_FLOAT, DT_FLOAT16, DT_INT32, DT_INT8})FakeQuantWithMinMaxVarsPerChannelTensorType({DT_INT8, DT_UINT8, DT_INT16, DT_INT32, DT_INT64, DT_FLOAT16, DT_FLOAT, DT_DOUBLE})TensorType({DT_FLOAT, DT_BF16, DT_FLOAT16, DT_DOUBLE, DT_COMPLEX64, DT_COMPLEX128, DT_INT32, DT_INT64})FakeQuantWithMinMaxArgsGradientTensorType({DT_BOOL, DT_FLOAT, DT_INT32, DT_INT64, DT_FLOAT16, DT_BF16, DT_INT16, DT_INT8, DT_UINT8, DT_DOUBLE, DT_COMPLEX128, DT_COMPLEX64, DT_STRING, DT_COMPLEX32})TensorType({DT_FLOAT, DT_INT32, DT_FLOAT16, DT_BF16})TensorType({UnaryDataType, DT_INT32, DT_INT8, DT_BF16})TensorType({DT_BF16, DT_FLOAT16, DT_FLOAT, DT_DOUBLE, DT_INT64, DT_INT32})TensorType({DT_FLOAT16, DT_FLOAT, DT_INT32, DT_INT8, DT_UINT8, DT_INT64, DT_DOUBLE, DT_BF16})[%s:%d]Braodcast offset for node %s failed. [%s:%d]Insert %s successfully. [%s:%d]Broadcast shape for node %s failed. [%s:%d]Insert offset add for node %s failed. [%s:%d]Node %s have already be inserted weight only AscendAntiQuant. [%s:%d]Invalid WeightScaleOffset record for node %s. [%s:%d]Get dim num and kernel index failed for %s [%s:%d]Insert scale node failed for %s. [%s:%d]pass run weight antiquant successfully for node %s.   !  !  !       !   !      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_E*N2ge2opUlRKNS_12AscendStringEE77_E*N2ge2opUlRKNS_12AscendStringEE78_E*N2ge2opUlRKNS_12AscendStringEE79_E*N2ge2opUlRKNS_12AscendStringEE80_E*N2ge2opUlRKNS_12AscendStringEE81_E*N2ge2opUlRKNS_12AscendStringEE82_E*N2ge2opUlRKNS_12AscendStringEE83_E*N2ge2opUlRKNS_12AscendStringEE84_E*N2ge2opUlRKNS_12AscendStringEE85_E*N2ge2opUlRKNS_12AscendStringEE86_E*N2ge2opUlRKNS_12AscendStringEE87_E*N2ge2opUlRKNS_12AscendStringEE88_E*N2ge2opUlRKNS_12AscendStringEE89_E*N2ge2opUlRKNS_12AscendStringEE90_E*N2ge2opUlRKNS_12AscendStringEE91_E*N2ge2opUlRKNS_12AscendStringEE92_E*N2ge2opUlRKNS_12AscendStringEE93_E*N2ge2opUlRKNS_12AscendStringEE94_E*N2ge2opUlRKNS_12AscendStringEE95_E*N2ge2opUlRKNS_12AscendStringEE96_E*N2ge2opUlRKNS_12AscendStringEE97_E*N2ge2opUlRKNS_12AscendStringEE98_E*N2ge2opUlRKNS_12AscendStringEE99_E*N2ge2opUlRKNS_12AscendStringEE100_E*N2ge2opUlRKNS_12AscendStringEE101_E*N2ge2opUlRKNS_12AscendStringEE102_E*N2ge2opUlRKNS_12AscendStringEE103_E*N2ge2opUlRKNS_12AscendStringEE104_E*N2ge2opUlRKNS_12AscendStringEE105_E*N2ge2opUlRKNS_12AscendStringEE106_E*N2ge2opUlRKNS_12AscendStringEE107_E*N2ge2opUlRKNS_12AscendStringEE108_E*N2ge2opUlRKNS_12AscendStringEE109_E*N2ge2opUlRKNS_12AscendStringEE110_E*N2ge2opUlRKNS_12AscendStringEE111_E*N2ge2opUlRKNS_12AscendStringEE112_E*N2ge2opUlRKNS_12AscendStringEE113_E*N2ge2opUlRKNS_12AscendStringEE114_E*N2ge2opUlRKNS_12AscendStringEE115_E*N2ge2opUlRKNS_12AscendStringEE116_E*N2ge2opUlRKNS_12AscendStringEE117_E*N2ge2opUlRKNS_12AscendStringEE118_E*N2ge2opUlRKNS_12AscendStringEE119_E*N2ge2opUlRKNS_12AscendStringEE120_E*N2ge2opUlRKNS_12AscendStringEE121_E*N2ge2opUlRKNS_12AscendStringEE122_E*N2ge2opUlRKNS_12AscendStringEE123_E*N2ge2opUlRKNS_12AscendStringEE124_E*N2ge2opUlRKNS_12AscendStringEE125_E*N2ge2opUlRKNS_12AscendStringEE126_E*N2ge2opUlRKNS_12AscendStringEE127_E*N2ge2opUlRKNS_12AscendStringEE128_E*N2ge2opUlRKNS_12AscendStringEE129_E*N2ge2opUlRKNS_12AscendStringEE130_E*N2ge2opUlRKNS_12AscendStringEE131_E*N2ge2opUlRKNS_12AscendStringEE132_E*N2ge2opUlRKNS_12AscendStringEE133_E*N2ge2opUlRKNS_12AscendStringEE134_E*N2ge2opUlRKNS_12AscendStringEE135_E*N2ge2opUlRKNS_12AscendStringEE136_E*N2ge2opUlRKNS_12AscendStringEE137_E*N2ge2opUlRKNS_12AscendStringEE138_E*N2ge2opUlRKNS_12AscendStringEE139_E*N2ge2opUlRKNS_12AscendStringEE140_E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2op41FakeQuantWithMinMaxVarsPerChannelGradientEN2ge2op10BitwiseAndEN2ge2op9BitwiseOrEN2ge2op10BitwiseXorEN2ge2op4CeilEN2ge2op5FloorEN2ge2op8FloorDivEN2ge2op8FloorModEN2ge2op3PowEN2ge2op4RintEN2ge2op5RoundEN2ge2op3SinEN2ge2op3TanEN2ge2op11TruncateModEN2ge2op7BiasAddEN2ge2op6ArgMinEN2ge2op7ArgMinDEN2ge2op8ArgMaxV2EN2ge2op7ArgMaxDEN2ge2op15ArgMaxWithValueEN2ge2op15ArgMinWithValueEN2ge2op7EltwiseEN2ge2op6ErfinvEN2ge2op15PopulationCountEN2ge2op19LambNextMVWithDecayEN2ge2op10LambNextMVEN2ge2op13LambNextRightEN2ge2op16LambUpdateWithLrEN2ge2op18LambUpdateWithLrV2EN2ge2op21AdamApplyOneWithDecayEN2ge2op12AdamApplyOneEN2ge2op27AdamApplyOneWithDecayAssignEN2ge2op18AdamApplyOneAssignEN2ge2op24LambApplyOptimizerAssignEN2ge2op21LambApplyWeightAssignEN2ge2op18ClipByNormNoDivSumEN2ge2op11SquareSumV2EN2ge2op11SquareSumV1EN2ge2op12SquareSumAllEN2ge2op12FusedMulAddNEN2ge2op4BiasEN2ge2op16ConfusionMulGradEN2ge2op18FusedMulAddNL2lossEN2ge2op9ThresholdEN2ge2op11ArgMaxWithKEN2ge2op4MulsEN2ge2op5FillsEN2ge2op4AddsEN2ge2op8MulNoNanEN2ge2op4AxpyEN2ge2op19CosineEmbeddingLossEN2ge2op5KLDivEN2ge2op7KLDivV2EN2ge2op10TensorMoveEN2ge2op14TensorRedirectEN2ge2op7AddcdivEN2ge2op7AddcmulEN2ge2op6AxpyV2EN2ge2op4SxpyEN2ge2op9StrideAddEN2ge2op11TensorEqualEN2ge2op4MaxNEN2ge2op11MaskedScaleEN2ge2op4LerpEN2ge2op11DataCompareEN2ge2op7HardMaxEN2ge2op3DotEN2ge2op7IsCloseEN2ge2op10ArgMaxGradEN2ge2op11ArgMaxGradDEN2ge2op17AddMatMatElementsEN2ge2op16CosineSimilarityEN2ge2op11ApplyAdamV2EN2ge2op5DawsnEN2ge2op8NanToNumEN2ge2op8CastLikeEN2ge2op13ClipByValueV2Etranspose_weight_pass.cpp[%s:%d]Get node [%s]'s attr adj_x2 fail, don't tranpose weights. [%s:%d]Get node [%s]'s attr transpose_x2 failed, don't transpose weights. [%s:%d]Get node [%s]'s attr transpose failed, don't transpose weights. [%s:%d]Check weightTensor fail, dim is not %d or data's pointer is NULL. [%s:%d]Layer %s 's port1 node isn't Const. [%s:%d]set node [%s] adj_attr fail [%s:%d]transpose weight tensor fail for node [%s]      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_E*N2ge2opUlRKNS_12AscendStringEE66_E*N2ge2opUlRKNS_12AscendStringEE67_E*N2ge2opUlRKNS_12AscendStringEE68_E*N2ge2opUlRKNS_12AscendStringEE69_E*N2ge2opUlRKNS_12AscendStringEE70_E*N2ge2opUlRKNS_12AscendStringEE71_E*N2ge2opUlRKNS_12AscendStringEE72_E*N2ge2opUlRKNS_12AscendStringEE73_E*N2ge2opUlRKNS_12AscendStringEE74_E*N2ge2opUlRKNS_12AscendStringEE75_E*N2ge2opUlRKNS_12AscendStringEE76_E*N2ge2opUlRKNS_12AscendStringEE77_E*N2ge2opUlRKNS_12AscendStringEE78_E*N2ge2opUlRKNS_12AscendStringEE79_E*N2ge2opUlRKNS_12AscendStringEE80_E*N2ge2opUlRKNS_12AscendStringEE81_E*N2ge2opUlRKNS_12AscendStringEE82_E*N2ge2opUlRKNS_12AscendStringEE83_E*N2ge2opUlRKNS_12AscendStringEE84_E*N2ge2opUlRKNS_12AscendStringEE85_E*N2ge2opUlRKNS_12AscendStringEE86_E*N2ge2opUlRKNS_12AscendStringEE87_E*N2ge2opUlRKNS_12AscendStringEE88_E*N2ge2opUlRKNS_12AscendStringEE89_E*N2ge2opUlRKNS_12AscendStringEE90_E*N2ge2opUlRKNS_12AscendStringEE91_E*N2ge2opUlRKNS_12AscendStringEE92_E*N2ge2opUlRKNS_12AscendStringEE93_E*N2ge2opUlRKNS_12AscendStringEE94_E*N2ge2opUlRKNS_12AscendStringEE95_E*N2ge2opUlRKNS_12AscendStringEE96_E*N2ge2opUlRKNS_12AscendStringEE97_E*N2ge2opUlRKNS_12AscendStringEE98_EN4amct19TransposeWeightPassEinfer_graph_info_pass.cppinfer_graph_info[%s:%d]layer %s 's output data_type is not float32 and float16. [%s:%d]Inference graph info is starting. [%s:%d]Do graph copy failed in infer graph info pass. [%s:%d]Inference graph info end. N4amct18InferGraphInfoPassEbasic_op.cpp[%s:%d]%s is nullptr. inputAinputBmodel_process.cpp[%s:%d]load model %s success [%s:%d]output data success [%s:%d]model execute success [%s:%d]model has already been loaded [%s:%d]load model from file failed, model file is %s, errorCode is %d. please check whether original model is dynamic [%s:%d]create model description failed [%s:%d]get model description failed, modelId is %u, errorCode is %d [%s:%d]create model description success [%s:%d]destroy model description success [%s:%d]no model description, create input failed [%s:%d]can't create dataset, create input failed [%s:%d]input image size[%zu] is not equal to model input size[%zu] [%s:%d]can't create data buffer, create input failed [%s:%d]add input dataset buffer failed, errorCode is %d [%s:%d]create model input success [%s:%d]destroy model input success [%s:%d]no model description, create ouput failed [%s:%d]can't create dataset, create output failed [%s:%d]can't malloc buffer, size is %zu, create output failed, errorCode is %d [%s:%d]can't create data buffer, create output failed [%s:%d]can't add data buffer, create output failed, errorCode is %d [%s:%d]create model output success [%s:%d]output len[%d] output len [%d] [%s:%d]aclrtMemcpy failed, errorCode[%d] [%s:%d]destroy model output success [%s:%d]execute model failed, modelId is %u, errorCode is %d. Please view details from the log. [%s:%d]no model had been loaded, unload failed [%s:%d]unload model failed, modelId is %u, errorCode is %d [%s:%d]unload model success, modelId is %u [%s:%d]no model description, request outdata memory failed [%s:%d]outHostData ptr is not nullptr, request outdata memory failed [%s:%d]blockLen vector is not empty, request outdata memory failed [%s:%d]len will be reset to zero in request outdata memory [%s:%d]aclrtMallocHost failed, malloc len[%zu] [%s:%d]request outHostData memory success N4amct12ModelProcessEsample_process.cpp[%s:%d]end to destroy stream [%s:%d]end to finalize acl [%s:%d]NCX finalize failed. ^[0-9]+$[%s:%d]acl init success [%s:%d]set device %d success [%s:%d]create stream success [%s:%d]runMode is %d [%s:%d]get run mode success [%s:%d]Ncx execute failed. [%s:%d]use aicore_num: %s. [%s:%d]use group_id: %s. [%s:%d]SampleProcess has been finalize. Do not destroy resource again! [%s:%d]destroy stream failed, errorCode = %d [%s:%d]destroy context failed, errorCode = %d [%s:%d]end to destroy context [%s:%d]reset device %d failed, errorCode = %d [%s:%d]end to reset device %d [%s:%d]finalize acl failed, errorCode = %d [%s:%d]NCX close session failed. [%s:%d]ACL destroy resource failed. [%s:%d]NCX destroy resource failed. [%s:%d]acl mode with no device id config [%s:%d]The device id config can only contain '0-9' character. %s [%s:%d]invalid device id config in quantizeConfigs for calibration. [%s:%d]acl get soc name failed. [%s:%d]Input soc version [%s] is not consistent with the current device [%s]. Input soc version invalid, please check the configuration[%s:%d]invalid device id config. Invalid device id. Please check the configuration.[%s:%d]acl init failed, errorCode = %d [%s:%d]acl set device %d failed, errorCode = %d [%s:%d]acl create context failed, deviceId = %d, errorCode = %d [%s:%d]create context success [%s:%d]acl create stream failed, deviceId = %d, errorCode = %d [%s:%d]acl get run mode failed, errorCode = %d [%s:%d]execute LoadModel failed [%s:%d]execute CreateModelDesc failed [%s:%d]file num[%zu] is not equal to input tensor num[%zu]. [%s:%d]execute GetInputSizeByIndex failed [%s:%d]malloc device buffer failed. size is %zu, errorCode is %d [%s:%d]memcpy device buffer failed [%s:%d]NCX load model failed. [%s:%d]NCX run model on Ascend failed. file num is not equal to input tensor num, please check the configuration.[%s:%d]load input data from file failed. Input data file invalid, please check the configuration.[%s:%d]Start ncx initialization, use ip: %s, port: %s. [%s:%d]NCX initialize failed. [%s:%d]NCX get soc version failed. [%s:%d]NCX create session failed. [%s:%d]sample process will infer by NCX. [%s:%d]NCX Init Resource Failed. [%s:%d]sample process will infer by ACL. [%s:%d]ACL Init Resource Failed. [%s:%d]execute PreProcess failed [%s:%d]execute CreateInput failed [%s:%d]execute CreateOutput failed [%s:%d]execute inference failed [%s:%d]Request outHostData Memory failed! [%s:%d]Get model result failed! [%s:%d]ACL model infer failed. [%s:%d]Ncx model infer failed. N4amct13SampleProcessEsubprocess_executor.cpp[%s:%d]wait child failed! [%s:%d]exec returned wrong! [%s:%d]subprocess[pid=%d] didn't exit within the limited time[%f s]. [%s:%d]run subprocess cost time = %f s [%s:%d]subprocess exit failed, terminated by signal code = %u [%s:%d]subprocess exit failed, paused by signal code = %u) [%s:%d]subprocess exit failed with unknown error! [%s:%d]fork a child failed!, ret = %d [%s:%d]******************** start run subprocess ******************** [%s:%d]run executable file[%s] failed, errmsg: %s, please check system environment variable. [%s:%d]******************** end run subprocess ******************** zDutils_acl.cpp[%s:%d]open file %s failed [%s:%d]failed to get file [%s:%d]%s is not a file stollbasic_string::substr[%s:%d]get file(%s) realpath failed, errmsg: %s [%s:%d]binfile is empty, filename is %s [%s:%d]file size[%u] is not equal to tensor size[%u] [%s:%d]%s is not a file, please enter a file [%s:%d]malloc binFileBufferData failed, binFileBufferLen is %u, errorCode is %d [%s:%d]malloc device buffer failed. size is %u, errorCode is %d [%s:%d]read bin file failed, file name is %s [%s:%d]input image size[%u] is not equal to model input size[%zu] [%s:%d]memcpy failed. buffer size is %zu, errorCode is %d [%s:%d]memcpy d2d failed. buffer size is %zu, errorCode is %d [%s:%d]Overflow is detected: dataSize > LONG_MAX! [%s:%d]The size of inDims, outDims, and transAxes must be the same! [%s:%d]The size of inDims and transAxes cannot be zero! [%s:%d]Invalid transAxes, please check! [%s:%d]rawData is null. %4d-%02d-%02d-%02d:%02d:%02d/proc/%d/status%*s %s%s(%d,%s)ASCEND_WORK_PATH.//amct_acl/%ld%s %s:%samct_log.cpp[ERROR] Create directory %s fail, errmsg: %s [warning] amct_acl log fail for format time info fail.[warning] amct_acl log fail for get pid's status file path fail.[warning] amct_acl log fail for open pid's status file fail.[warning] amct_acl log fail for read pid's status file fail.[warning] amct_acl log fail for extract pid's name fail.[warning] amct_acl log fail for format mod's info fail.[warning] Do realpath for %s fail, errmsg[%s] [warning] amct_acl log fail for realpath file .[warning] amct_acl log fail for open log's file fail.[warning] amct_acl log fail for fileno log's file fail.[warning] amct_acl log fail for write log's file fail.[ERROR] amct_acl log fail for real path fail.[ERROR] AmctLog directory created fail.[ERROR] amct_acl log fail for realpath [ASCEND_WORK_PATH].[ERROR] Create amctLog directory %s fail, errmsg: %s [ERROR] Access amctLog directory %s fail, errmsg: %s [ERROR] Get amctLog directory failed.[warning] amct_acl log fail for infoLevel is invalid.[warning] amct_acl log fail for splice information fail.[warning] amct_acl log fail for format message fail.[%s:%d]get log realpath for %s failed, errmsg: %s [%s:%d]Input Parameter[--log]'s value{%s} is invalid, only support debug, info, warning, error. Set log level failed. Please check the configuration.[ERROR] AmctLog set work path failed.[warning] amct_acl log fail for create log's path fail.[warning] amct_acl log fail for create log's file fail.[warning] amct_acl log fail for fileno of log's file fail.[warning] amct_acl log fail for set mod of log's file fail.[warning] amct_acl log fail for realpath log's file.global_poolinggraph_utils.cpp[%s:%d]axis %d not equal 1. MaxPoolMaxPoolV3_datadump_original_op_names[%s:%d]dilations size is %d. window[%s:%d]tensor data is null! [%s:%d]input shape is %s. [%s:%d]Get empty data size. _fe_weight_compresssuccessfailedtensorQuantize[%s:%d]Invalid node type %s. [%s:%d]Weight data type is not float32 or float16. [%s:%d]transpose attr is true. [%s:%d]Fully connection weight is not float32 type. [%s:%d]get node [%s] attr adj_x1 fail, assume it is default value true. [%s:%d]node [%s] adj_x1 attr is true, don't support quant. [%s:%d]Node [ %s ]'s input of second port is not 2D, don't support quant. [%s:%d]get attr transpose_a fail, assume it is default value false. [%s:%d]transposeA attr is true. [%s:%d]get attr transpose_b fail, assume it is default value false. [%s:%d]transposeB attr is true. [%s:%d]get attr transpose_x1 fail, assume it is default value false. [%s:%d]transposeX1 attr is true. [%s:%d]MatMul weight is not float32 type. [%s:%d]Node %s has weight input of [Data] type, don't support quant [%s:%d]producer has non-const node %s. [%s:%d]producer has invalid const node %s, its datatype is not float32 or float16. [%s:%d]Transposed data is null [%s:%d]Get weight tensor failed for node %s [%s:%d]Node [%s] no weight input. [%s:%d]Get const value failed, assume current weight size is 0. [%s:%d]Get node [%s]'s weight size: %u. [%s:%d]dilations ele %d not equal 1. [%s:%d]conv3d node %s dilations size is %zu. [%s:%d]Input node [ %s ] data type is [ %s ] [%s:%d]Node [ %s ] output is [ %s ] [%s:%d]Node [ %s ] output is [ %s ], not in range of DT_FLOAT or DT_FLOAT16 [%s:%d]get input port %d of layer %s failed. [%s:%d]Get node output tensor failed! [%s:%d]Get compute graph failed. [%s:%d]Get node %s tensor size failed [%s:%d]Get node %s tensor size is zero or negative [%s:%d]Get output size failed. [%s:%d]Graph without any node is not supported. Graph without any node is not supported[%s:%d]Graph with quantized layer is not supported. Graph with quantized layer is not supported[%s:%d]Parse input node failed. Please confirm whether the input node[%s] is splitted by ';'. [%s:%d]Input node shape miss. [%s:%d]Get Data Node Output Desc Failed. [%s:%d]Search find memBoundLayer: %s [%s:%d]Layer name %s is repeated. [%s:%d]layer %s 's shape is %s. [%s:%d]Node %s do not support quantize [%s:%d]Check support quant func can't be found, please verify your input[ %s ] [%s:%d]Get weight failed for [ %s ]. [%s:%d]Unknown filter format %d.      !*N2ge2opUlRKNS_12AscendStringEE_E*N2ge2opUlRKNS_12AscendStringEE0_E*N2ge2opUlRKNS_12AscendStringEE1_E*N2ge2opUlRKNS_12AscendStringEE2_E*N2ge2opUlRKNS_12AscendStringEE3_E*N2ge2opUlRKNS_12AscendStringEE4_E*N2ge2opUlRKNS_12AscendStringEE5_E*N2ge2opUlRKNS_12AscendStringEE6_E*N2ge2opUlRKNS_12AscendStringEE7_E*N2ge2opUlRKNS_12AscendStringEE8_E*N2ge2opUlRKNS_12AscendStringEE9_E*N2ge2opUlRKNS_12AscendStringEE10_E*N2ge2opUlRKNS_12AscendStringEE11_E*N2ge2opUlRKNS_12AscendStringEE12_E*N2ge2opUlRKNS_12AscendStringEE13_E*N2ge2opUlRKNS_12AscendStringEE14_E*N2ge2opUlRKNS_12AscendStringEE15_E*N2ge2opUlRKNS_12AscendStringEE16_E*N2ge2opUlRKNS_12AscendStringEE17_E*N2ge2opUlRKNS_12AscendStringEE18_E*N2ge2opUlRKNS_12AscendStringEE19_E*N2ge2opUlRKNS_12AscendStringEE20_E*N2ge2opUlRKNS_12AscendStringEE21_E*N2ge2opUlRKNS_12AscendStringEE22_E*N2ge2opUlRKNS_12AscendStringEE23_E*N2ge2opUlRKNS_12AscendStringEE24_E*N2ge2opUlRKNS_12AscendStringEE25_E*N2ge2opUlRKNS_12AscendStringEE26_E*N2ge2opUlRKNS_12AscendStringEE27_E*N2ge2opUlRKNS_12AscendStringEE28_E*N2ge2opUlRKNS_12AscendStringEE29_E*N2ge2opUlRKNS_12AscendStringEE30_E*N2ge2opUlRKNS_12AscendStringEE31_E*N2ge2opUlRKNS_12AscendStringEE32_E*N2ge2opUlRKNS_12AscendStringEE33_E*N2ge2opUlRKNS_12AscendStringEE34_E*N2ge2opUlRKNS_12AscendStringEE35_E*N2ge2opUlRKNS_12AscendStringEE36_E*N2ge2opUlRKNS_12AscendStringEE37_E*N2ge2opUlRKNS_12AscendStringEE38_E*N2ge2opUlRKNS_12AscendStringEE39_E*N2ge2opUlRKNS_12AscendStringEE40_E*N2ge2opUlRKNS_12AscendStringEE41_E*N2ge2opUlRKNS_12AscendStringEE42_E*N2ge2opUlRKNS_12AscendStringEE43_E*N2ge2opUlRKNS_12AscendStringEE44_E*N2ge2opUlRKNS_12AscendStringEE45_E*N2ge2opUlRKNS_12AscendStringEE46_E*N2ge2opUlRKNS_12AscendStringEE47_E*N2ge2opUlRKNS_12AscendStringEE48_E*N2ge2opUlRKNS_12AscendStringEE49_E*N2ge2opUlRKNS_12AscendStringEE50_E*N2ge2opUlRKNS_12AscendStringEE51_E*N2ge2opUlRKNS_12AscendStringEE52_E*N2ge2opUlRKNS_12AscendStringEE53_E*N2ge2opUlRKNS_12AscendStringEE54_E*N2ge2opUlRKNS_12AscendStringEE55_E*N2ge2opUlRKNS_12AscendStringEE56_E*N2ge2opUlRKNS_12AscendStringEE57_E*N2ge2opUlRKNS_12AscendStringEE58_E*N2ge2opUlRKNS_12AscendStringEE59_E*N2ge2opUlRKNS_12AscendStringEE60_E*N2ge2opUlRKNS_12AscendStringEE61_E*N2ge2opUlRKNS_12AscendStringEE62_E*N2ge2opUlRKNS_12AscendStringEE63_E*N2ge2opUlRKNS_12AscendStringEE64_E*N2ge2opUlRKNS_12AscendStringEE65_Erecord_dumper.cpp[warning] amct_acl RecordDumper fail for create record's path.[warning] amct_acl RecordDumper fail for create record's file.[warning] amct_acl RecordDumper fail for fileno of record's file.[warning] amct_acl RecordDumper fail for set mod of record's file fail.[warning] amct_acl RecordDumper fail for realpath record's file .[warning] amct_acl RecordDumper fail for open record's file.CHECK failed: (total_size_) > (0): CHECK failed: (index) < (current_size_): [warning] amct_acl WriteToRecordFile fail to open record's file.Unexpected end of regex when escaping.Unexpected end of regex when reading control code.Unexpected end of regex when ascii character.Unexpected escape character.Unexpected end of regex when in an open parenthesis.Invalid special open parenthesis.Unexpected end of regex when in brace expression.Unexpected character in brace expression.Unexpected end of character class.Unexpected end of regex when in bracket expression.Unexpected character class open bracket.^$\.*+?()[]{}|.[\*^$.[\()*+?{|^$.[\*^$ .[\()*+?{|^$ Nothing to repeat before a quantifier.Number of NFA states exceeds limit. Please use shorter regex string, or use smaller brace expression, or make _GLIBCXX_REGEX_STATE_LIMIT larger.Unexpected back-reference in polynomial mode.Back-reference index exceeds current sub-expression count.Back-reference referred to an opened sub-expression.58777p766h6655h5BB,C\ClCCCTDtDDBD|BInvalid character class.basic_string::_S_construct null not validUnexpected token in brace expression.Unexpected end of brace expression.Invalid range in brace expression.Invalid collate element.Invalid equivalence class.Unexpected dash in bracket expression. For POSIX syntax, a dash is not treated literally only when it is at beginning or end.Invalid range in bracket expression.Character is expected after a dash.Unexpected character in bracket expression.Parenthesis is not closed.file_utils.cpp[%s:%d]regex_match failed [%s:%d]Input param is empty. ^[一-龥A-Za-z0-9./_-]+$NULSOHSTXETXEOTENQACKalertbackspacenewlinevertical-tabform-feedcarriage-returnSOSIDLEDC1DC2DC3DC4NAKSYNETBCANEMSUBESCIS4IS3IS2IS1exclamation-markquotation-marknumber-signdollar-signpercent-signampersandapostropheleft-parenthesisright-parenthesisasteriskplus-signcommahyphenperiodzerotwothreefourfivesixsevenninesemicolonless-than-signequals-signgreater-than-signquestion-markcommercial-atFGJYZleft-square-bracketbackslashright-square-bracketcircumflexunderscoregrave-accentleft-curly-bracketvertical-lineright-curly-brackettildeDELalnumblankcntrlpunctxdigit[%s:%d]Path[%s] len is too long, it must be less than %d [%s:%d]Do realpath for %s failed, the reason is: %s [%s:%d]realpath of %s is empty. [%s:%d]The path can only contain 'a-z' 'A-Z' '0-9' '-' '.' '_' and chinese character [%s:%d]Read file[%s] failed, errmsg[%s] St23_Sp_counted_ptr_inplaceINSt8__detail4_NFAISt12regex_traitsIcEEESaIS4_ELN9__gnu_cxx12_Lock_policyE2EENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb0ELb1ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb0ELb1EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb0EEENSt8__detail11_AnyMatcherISt12regex_traitsIcELb1ELb1ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail12_CharMatcherISt12regex_traitsIcELb1ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb0ELb1EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb0EEENSt8__detail15_BracketMatcherISt12regex_traitsIcELb1ELb1EEEww/amct_graphgraph_dumper.cpp[%s:%d]not set to dump graph [%s:%d][warning] amct_acl GraphDumper fail for create record's path. [%s:%d]Dump graph failed! You may need to set AMCT_LOG_DUMP =1 [%s:%d]Dump graph to %s succesed! N4amct11GraphDumperEamct_error_report.cppreason[%s:%d]amct error manager has been inited. [%s:%d]error manager init failed. [%s:%d]amct error manager has not been inited, cannot report error message. fuse_utils.cpp[%s:%d]link node [%s] to biasadd node fail [%s:%d]link biasadd node to bn node [%s] fail [%s:%d]layer %s get adjust info groupsValue fail [%s:%d]layer %s get adjust info weight shape fail [%s:%d]layer %s transpose failed in groups split   !  !  !       !   !      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bin file failed. .air[%s:%d]save air[%s] failed. [%s:%d]write to invalid bin file[%s] [%s:%d]open num bin file[%s] failed. [%s:%d]open str bin file[%s] failed. [%s:%d]find input shape option in buildOptions failed [%s:%d]get graph data size failed. [%s:%d]write input size file failed. [%s:%d]GraphBuildParam.omName is empty! [%s:%d]GraphBuildParam.logLevel is invalid! [%s:%d]GraphBuildParam.initOption is empty! [%s:%d]GraphBuildParam.buildOption is empty! [%s:%d]GraphBuildParam.initOption's key is empty! [%s:%d]GraphBuildParam.buildOption's key is empty! [%s:%d]GraphBuildParam.logPath is invalid! [%s:%d]read from invalid bin file[%s] [%s:%d]write bin file failed. [%s:%d]the input GraphBuildParam are invalid. [%s:%d]run subprocess failed, ret = %d [%s:%d]load results after graph build failed. [%s:%d]aclgrphBuildInitialize failed, ret = %u [%s:%d]aclgrphBuildModel failed, ret = %u [%s:%d]dump graph input size failed [%s:%d]get graph output size failed. [%s:%d]deliver build result to father failed. [%s:%d]aclgrphSaveModel failed. [ERROR][%s][%d] Empty pointer [ERROR][%s][%d] input data length = 0. [ERROR][%s][%d] Exist NaN in input data, cannot do ARQ quantize. [ERROR][%s][%d] scale.length = %u, offset.length = %u [ERROR][%s][%d] arqParam.channelWise = %u, scale.length = %u [ERROR][%s][%d] scale.length = %u should not be 0. [ERROR][%s][%d] input data length = %u, scale.length = %u [ERROR][%s][%d] arqParam.numBits = %u, it should be greater than 2. [ERROR][%s][%d] WtsArqCalibrationCpuKernel float of format CO_CI_KH_KW failed. [ERROR][%s][%d] WtsArqCalibrationCpuKernel double of format CO_CI_KH_KW failed. [ERROR][%s][%d] ArqQuantCPU scale is illegal. [ERROR][%s][%d] CheckArqQuantParams failed. [ERROR][%s][%d] WtsArqCalibrationCpuKernel of format CO_CI_KH_KW failed. [ERROR][%s][%d] ArqQuantRealCPU scale is illegal. ArqQuantDoublePythonArqQuantFloatPythonWtsArqCalibrationCpuKernelWtsArqCalibrationCpuKernelArqQuantRealKernelArqQuantRealKernelArqQuantArqQuantCheckArqParamsCheckArqParams@G[ERROR][%s][%d] Empty data pointer! [ERROR][%s][%d] The length cannot be 0! [ERROR][%s][%d] The data contains invalid values! [ERROR][%s][%d] The scale.length should not be 0! [ERROR][%s][%d] The length of data should be an integer multiple of scale.length! [ERROR][%s][%d] The offset.length should be same as scale.length! [ERROR][%s][%d] Check NUQ parameters failed! [ERROR][%s][%d] NuqCalibrationCpuKernel run ARQ init failed! [ERROR][%s][%d] NUQ scale is illegal. NuqCalibrationCpuKernelNuqKernelCheckNuqQuantParamsNuqCalibrationCpuKernelNuqKernelCheckNuqQuantParamsNuqReal_@`ư>?>[ERROR][%s][%d] Not support scale is +inf. [ERROR][%s][%d] Not support scale is nan. [ERROR][%s][%d] Not support scale greater than 1 / FLT_EPSILON. currentScale: %f [ERROR][%s][%d] Not support scale greater than 1 / DBL_EPSILON. [ERROR][%s][%d] Overflow is detected during calculating dataSize![ERROR][%s][%d] tensor balance factor out of range[FLT_EPSILON, 1/FLT_EPSILON]: %f. FLOAT16FLOAT32[ERROR][%s][%d] Failed to allocate memory.[ERROR][%s][%d] Cannot find "%s" in record file. [ERROR][%s][%d] Failed to reposition read file offset.[ERROR][%s][%d] Failed to write file.[ERROR][%s][%d] Failed to read file.[ERROR][%s][%d] Failed to reposition write file offset.key: "" value { tensor_balance_factor[ERROR][%s][%d] Invalid record file path. [ERROR][%s][%d] Failed to open file. [ERROR][%s][%d] Failed to stat file. [ERROR][%s][%d] Failed to read file. [ERROR][%s][%d] Failed to close file. [ERROR][%s][%d] Write %s to "%s" failed. scale_d: offset_d: act_type: "INT" initial_h scale_h: offset_h: scale_w: offset_w: wts_type: "INT op_data_type: '' [ERROR][%s][%d] file(%s) size is zero. [ERROR][%s][%d] Write scale_d and offset_d to "%s" failed. CheckBalanceFactorRecordRepeatDataKernelRecordRepeatDataRecordRepeatDataKernelRecordRepeatDataGetLengthByDimRecordScaleOffsetDataRecordScaleOffsetKernelProcessScaleProcessScaleK= (0): SimpleConfig.AMCTConfig.skip_fusion_layers::SimpleConfig::FMRQuantize_CalibrationDataType_IsValid(value)CHECK failed: GetArena() == other->GetArena(): CHECK failed: calibration_config_ != nullptr: CHECK failed: (&from) != (this): CHECK failed: common_config_ != nullptr: CHECK failed: (&other) != (this): 0ZZYYYYPY0Z0Z0Z@Xvoid SimpleConfig::FMRQuantize::_internal_set_dst_type(SimpleConfig::FMRQuantize_CalibrationDataType) calibration_config.proto SimpleConfig" AMCTConfig activation_offset (:true joint_quant (:false skip_layers (  skip_layer_types (  version (:16 common_config2 ( 2.SimpleConfig.CalibrationConfig= override_layer_types3 ( 2.SimpleConfig.OverrideLayerType; override_layer_configsd ( 2.SimpleConfig.OverrideLayer do_fusion (:true skip_fusion_layers ( 6 tensor_quantize ( 2.SimpleConfig.TensorQuantize enable_auto_nuq (:false"d OverrideLayerType layer_type ( ; calibration_config ( 2.SimpleConfig.CalibrationConfig"` OverrideLayer layer_name ( ; calibration_config ( 2.SimpleConfig.CalibrationConfig" CalibrationConfig0 arq_quantize ( 2.SimpleConfig.ARQuantizeH0 nuq_quantize ( 2.SimpleConfig.NUQuantizeH2 ifmr_quantized ( 2.SimpleConfig.FMRQuantizeH$ weight_compress_only (:falseB wts_quant_algoB acts_quant_algo"6 ARQuantize channel_wise ( asymmetric (" FMRQuantize search_range_start (:0.7 search_range_end (:1.3 search_step (:0.01 max_percentile (:0.999999 min_percentile (:0.999999 asymmetric (E dst_type (2-.SimpleConfig.FMRQuantize.CalibrationDataType:INT8"* CalibrationDataType INT8 INT16" TensorQuantize layer_name (  input_index ( 2 ifmr_quantize ( 2.SimpleConfig.FMRQuantizeHB acts_quant_algo"@ NUQuantize num_steps ( :32 num_of_iteration ( :1$(&-(/:8>E GS8Zc8fm 0H`x  08@H ( $(,00 8(CHECK failed: limit >= 0 && limit <= INT_MAX - kSlopBytes: CHECK failed: (n) >= (0): N12SimpleConfig10AMCTConfigEN12SimpleConfig17OverrideLayerTypeEN12SimpleConfig13OverrideLayerEN12SimpleConfig17CalibrationConfigEN12SimpleConfig10ARQuantizeEN12SimpleConfig11FMRQuantizeEN12SimpleConfig14TensorQuantizeEN12SimpleConfig10NUQuantizeEdetail_cali_config.pb.ccdetail_cali_config.protoDetailConfig.LayerConfig.layer_nameDetailConfig.Config.skip_fusion_layerspP0D44lvoid DetailConfig::IFMR::_internal_set_dst_type(DetailConfig::IFMR_CalibrationDataType) detail_cali_config.proto DetailConfig" Config version (:1 activation_offset (:true do_fusion (:true skip_fusion_layers ( 0 layers_config ( 2.DetailConfig.LayerConfig joint_quant (:false enable_auto_nuq (:false" LayerConfig layer_name (  quant_enable (:false' arq_paramsd ( 2.DetailConfig.ARQH' nuq_paramse ( 2.DetailConfig.NUQH* ifmr_params ( 2.DetailConfig.IFMRH" is_tensor_quantize (:false tensor_input_index ( :0B wts_algoB acts_algo"< ARQ channel_wise (:true asymmetric (:false" IFMR min_percentile (:0.999999 max_percentile (:0.999999 search_start (:0.7 search_end (:1.3 search_step (:0.01 asymmetric (> dst_type (2&.DetailConfig.IFMR.CalibrationDataType:INT8"* CalibrationDataType INT8 INT16"9 NUQ num_steps ( :32 num_of_iteration ( :1 X!@(/ 1=8DK LPQ0HI8 @HP!$(0 $(,0N12DetailConfig6ConfigEN12DetailConfig11LayerConfigEN12DetailConfig3ARQEN12DetailConfig4IFMREN12DetailConfig3NUQEscale_offset_record.pb.ccSingleLayerRecord.act_typeSingleLayerRecord.wts_typeMapFiledEntry.keyscale_offset_record.protoCHECK failed: (total_size_ - current_size_) >= (n): CHECK failed: value_ != nullptr: CHECK failed: !value || value_ != nullptr: p=@AA`A@?p=p=p=p??> scale_offset_record.proto" SingleLayerRecord scale_d ( offset_d ( scale_w ( offset_w ( shift_bit (  skip_fusion (:false act_type ( :INT8 wts_type ( :INT8"? 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