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_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_PK9aclScalarbEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnLeakyReluBackwardGetWorkspaceSizeaclnnLerpsaclnnInplaceLerpsaclnnLerpsGetWorkspaceSize_ZN2op10OpDfxGuardC2ISt5tupleIJP9aclTensorPKS3_PK9aclScalarEES2_IJS4_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJP9aclTensorPKS3_PK9aclScalarEES2_IJS4_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnInplaceLerpsGetWorkspaceSizeaclnnLerpaclnnInplaceLerpaclnnInplaceLerpGetWorkspaceSizeaclnnLerpGetWorkspaceSizeaclnnLgammaaclnnLgammaGetWorkspaceSizeaclnnLinalgCrossaclnnLinalgCrossGetWorkspaceSizeaclnnLinalgQraclnnLinalgQrGetWorkspaceSizeaclnnLinalgVectorNorm_ZNSt15basic_stringbufIcSt11char_traitsIcESaIcEED2Ev_ZTVSt15basic_stringbufIcSt11char_traitsIcESaIcEE_ZTVSt15basic_streambufIcSt11char_traitsIcEE_ZNSt6localeD1Ev_ZNSt15basic_stringbufIcSt11char_traitsIcESaIcEED1Ev_ZNSt15basic_stringbufIcSt11char_traitsIcESaIcEED0Ev_ZNSt8_Rb_treeIllSt9_IdentityIlESt4lessIlESaIlEE8_M_eraseEPSt13_Rb_tree_nodeIlE_ZNSt8_Rb_treeIllSt9_IdentityIlESt4lessIlESaIlEE16_M_insert_uniqueIRKlEESt4pairISt17_Rb_tree_iteratorIlEbEOT__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK9aclScalarPK11aclIntArrayb11aclDataTypeEES2_IJPS3_EEEEPKciNS_7OpLevelESH_SH_SH_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK9aclScalarPK11aclIntArrayb11aclDataTypeEES2_IJPS3_EEEEPKciNS_7OpLevelESH_SH_SH_OKT_OKT0__ZNSt8ios_baseC2Ev_ZTVSt9basic_iosIcSt11char_traitsIcEE_ZTTSt18basic_stringstreamIcSt11char_traitsIcESaIcEE_ZNSt9basic_iosIcSt11char_traitsIcEE4initEPSt15basic_streambufIcS1_E_ZTVSt18basic_stringstreamIcSt11char_traitsIcESaIcEE_ZNSt6localeC1Ev_ZNSo9_M_insertIdEERSoT__ZSt16__ostream_insertIcSt11char_traitsIcEERSt13basic_ostreamIT_T0_ES6_PKS3_l_ZNSt8ios_baseD2Ev_ZNSt18basic_stringstreamIcSt11char_traitsIcESaIcEED1EvaclnnLinalgVectorNormGetWorkspaceSizeaclnnLinspace_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclScalarS5_lEES2_IJP9aclTensorEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclScalarS5_lEES2_IJP9aclTensorEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0_aclnnLinspaceGetWorkspaceSizeaclnnLogaclnnInplaceLog_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPS3_EES2_IJEEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPS3_EES2_IJEEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnLogGetWorkspaceSizeaclnnInplaceLogGetWorkspaceSizeaclnnLog10aclnnInplaceLog10aclnnLog10GetWorkspaceSizeaclnnInplaceLog10GetWorkspaceSizeaclnnLog1paclnnInplaceLog1paclnnLog1pGetWorkspaceSizeaclnnInplaceLog1pGetWorkspaceSizeaclnnLog2aclnnInplaceLog2_ZN2op10OpDfxGuard28BuildParamStringWithBracketsIJPK9aclTensorEEEiPKcRKSt5tupleIJDpT_EEaclnnInplaceLog2GetWorkspaceSizeaclnnLog2GetWorkspaceSizeaclnnLogAddExpaclnnLogAddExpGetWorkspaceSizeaclnnLogAddExp2aclnnLogAddExp2GetWorkspaceSizeaclnnLogdetaclnnLogdetGetWorkspaceSizeaclnnLogicalAndaclnnInplaceLogicalAndaclnnLogicalAndGetWorkspaceSizeaclnnInplaceLogicalAndGetWorkspaceSizeaclnnLogicalNotaclnnInplaceLogicalNotaclnnLogicalNotGetWorkspaceSizeaclnnInplaceLogicalNotGetWorkspaceSizeaclnnLogicalOraclnnInplaceLogicalOraclnnLogicalOrGetWorkspaceSizeaclnnInplaceLogicalOrGetWorkspaceSizeaclnnLogicalXoraclnnLogicalXorGetWorkspaceSizeaclnnLogSigmoidaclnnLogSigmoidForwardaclnnLogSigmoidForwardGetWorkspaceSizeaclnnLogSigmoidGetWorkspaceSizeaclnnLogSigmoidBackwardaclnnLogSigmoidBackwardGetWorkspaceSizeaclnnLogSoftmaxaclnnLogSoftmaxGetWorkspaceSizeaclnnLogSoftmaxBackwardaclnnLogSoftmaxBackwardGetWorkspaceSizeaclnnLogSumExpaclnnLogSumExpGetWorkspaceSizeaclnnLtScalaraclnnInplaceLtScalaraclnnLtScalarGetWorkspaceSizeaclnnInplaceLtScalarGetWorkspaceSizeaclnnLtTensoraclnnInplaceLtTensoraclnnLtTensorGetWorkspaceSizeaclnnInplaceLtTensorGetWorkspaceSizeaclnnInplaceMaskedFillScalaraclnnInplaceMaskedFillScalarGetWorkspaceSizeaclnnInplaceMaskedFillTensoraclnnInplaceMaskedFillTensorGetWorkspaceSizeaclnnInplaceMaskedScatteraclnnInplaceMaskedScatterGetWorkspaceSizeaclnnMaskedSelectaclnnMaskedSelectGetWorkspaceSizeaclnnMatmulaclnnMatmulGetWorkspaceSizeMakeSureGroupTopoInfoSet_ZN2ge12HcomTopoInfo8InstanceEv_ZN2ge12HcomTopoInfo18TopoInfoHasBeenSetEPKc_ZN2ge12HcomTopoInfo16SetGroupTopoInfoEPKcRKNS0_8TopoInfoECheckSupportRankSize_ZN2ge12HcomTopoInfo16GetGroupRankSizeEPKcRlaclnnMatmulAllReduceGetWorkspaceSizeaclnnInnerMatmulAllReduceGetWorkspaceSizeaclnnMatmulAllReduceaclnnInnerMatmulAllReduceaclnnMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnInnerMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnInplaceMatmulAllReduceAddRmsNormGetWorkspaceSize_Z18ReportErrorMessageILm7EJjjEEvRAT__KcPS0_DpOT0_matmulAllReduceAddRmsNormRunAicpuKFCaclnnMatmulAllReduceAddRmsNormaclnnInnerMatmulAllReduceAddRmsNormaclnnInplaceMatmulAllReduceAddRmsNormcheckTopoAndRankSize_Z18ReportErrorMessageILm7EJRA3_KcPS0_S2_S3_EEvRAT__S0_S3_DpOT0_aclnnMatmulAllReduceV2GetWorkspaceSizeaclnnMatmulAllReduceV2aclnnMatmulCompressDequant_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_S5_S5_S5_iPK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_S5_S5_S5_iPK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMatmulCompressDequantGetWorkspaceSizeCreateWinTensoraclnnMatmulReduceScatterGetWorkspaceSizeaclnnInnerMatmulReduceScatterGetWorkspaceSizeaclnnMatmulReduceScatteraclnnInnerMatmulReduceScatterGetMaxDimListForTensoraclnnMaxaclnnMaxGetWorkspaceSizeaclnnMaxDimaclnnMaxDimGetWorkspaceSize_ZNSt13unordered_mapIN2ge6FormatESsSt4hashIS1_ESt8equal_toIS1_ESaISt4pairIKS1_SsEEED2Ev_ZNSt13unordered_mapIN2ge6FormatESsSt4hashIS1_ESt8equal_toIS1_ESaISt4pairIKS1_SsEEED1EvaclnnMaxPoolceilffloorf_ZNSt10_HashtableIN2ge6FormatESt4pairIKS1_SsESaIS4_ENSt8__detail10_Select1stESt8equal_toIS1_ESt4hashIS1_ENS6_18_Mod_range_hashingENS6_20_Default_ranged_hashENS6_20_Prime_rehash_policyENS6_17_Hashtable_traitsILb0ELb0ELb1EEEE9_M_rehashEmRKm_ZNSt10_HashtableIN2ge6FormatESt4pairIKS1_SsESaIS4_ENSt8__detail10_Select1stESt8equal_toIS1_ESt4hashIS1_ENS6_18_Mod_range_hashingENS6_20_Default_ranged_hashENS6_20_Prime_rehash_policyENS6_17_Hashtable_traitsILb0ELb0ELb1EEEE21_M_insert_unique_nodeEmmPNS6_10_Hash_nodeIS4_Lb0EEE_ZNSt8__detail9_Map_baseIN2ge6FormatESt4pairIKS2_SsESaIS5_ENS_10_Select1stESt8equal_toIS2_ESt4hashIS2_ENS_18_Mod_range_hashingENS_20_Default_ranged_hashENS_20_Prime_rehash_policyENS_17_Hashtable_traitsILb0ELb0ELb1EEELb1EEixERS4__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_lS8_S8_lEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_lS8_S8_lEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxPoolGetWorkspaceSize__cxa_thread_atexitaclnnMaxPool2dWithMaskaclnnMaxPool2dWithIndices_ZN2op8internal12GetFromCacheISt5tupleIJPK9aclTensorPK11aclIntArrayS8_S8_S8_bEES2_IJPS3_SA_EEEEbPP13aclOpExecutorPmPKcRKT_RKT0__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_S8_S8_bEES2_IJPS3_SA_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_S8_S8_bEES2_IJPS3_SA_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxPool2dWithMaskGetWorkspaceSizeaclnnMaxPool2dWithIndicesGetWorkspaceSizeaclnnMaxPool2dWithMaskBackwardaclnnMaxPool2dWithIndicesBackward_ZN2op8internal12GetFromCacheISt5tupleIJPK9aclTensorS5_S5_PK11aclIntArrayS8_S8_S8_bEES2_IJPS3_EEEEbPP13aclOpExecutorPmPKcRKT_RKT0__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_S5_PK11aclIntArrayS8_S8_S8_bEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_S5_PK11aclIntArrayS8_S8_S8_bEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxPool2dWithMaskBackwardGetWorkspaceSizeaclnnMaxPool2dWithIndicesBackwardGetWorkspaceSizeCalcMaxUnpool2dInputNewShapeaclnnMaxUnpool2d_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_PK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_PK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxUnpool2dGetWorkspaceSizeaclnnMaxUnpool2dBackward_Z18ReportErrorMessageILm7EJRlS0_S0_S0_EEvRAT__KcPS1_DpOT0__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_S5_PK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_S5_PK11aclIntArrayEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxUnpool2dBackwardGetWorkspaceSizeCalcMaxUnpool3dInputNewShapeaclnnMaxUnpool3d_Z18ReportErrorMessageILm7EJRmRKlEEvRAT__KcPS3_DpOT0__Z18ReportErrorMessageILm7EJRKlS1_S1_RlS2_S2_EEvRAT__KcPS3_DpOT0__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_PK11aclIntArrayS8_S8_EES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_PK11aclIntArrayS8_S8_EES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxUnpool3dGetWorkspaceSizeCalcMaxUnpool3dGradInputNewShapeaclnnMaxUnpool3dBackward_Z18ReportErrorMessageILm7EJRmmEEvRAT__KcPS1_DpOT0_aclnnMaxUnpool3dBackwardGetWorkspaceSizeaclnnMaxV2_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArraybbEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArraybbEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnMaxV2GetWorkspaceSizeaclnnMaximumaclnnMaximumGetWorkspaceSizeaclnnMaxN_ZN2op10OpDfxGuardC2ISt5tupleIJPK13aclTensorListEES2_IJP9aclTensorEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK13aclTensorListEES2_IJP9aclTensorEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0_aclnnMaxNGetWorkspaceSizeaclnnMeanaclnnMeanV2aclnnMeanGetWorkspaceSizeaclnnMeanV2GetWorkspaceSizeaclnnMedianaclnnMedianDimaclnnNanMedianaclnnNanMedianDim_ZN2op8internal12GetFromCacheISt5tupleIJPK9aclTensorEES2_IJPS3_EEEEbPP13aclOpExecutorPmPKcRKT_RKT0__ZN9aclTensorC1IiEEPKT_mN2ge8DataTypeE_ZN2op8internal12GetFromCacheISt5tupleIJPK9aclTensorlbEES2_IJPS3_S7_EEEEbPP13aclOpExecutorPmPKcRKT_RKT0_aclnnMedianGetWorkspaceSizeaclnnNanMedianGetWorkspaceSizeaclnnMedianDimGetWorkspaceSizeaclnnNanMedianDimGetWorkspaceSizeGetMinDimListForTensoraclnnMinaclnnMinGetWorkspaceSizeaclnnMinDimaclnnMinDimGetWorkspaceSizeaclnnMinimumaclnnMi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sorListixEm_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensormlEES2_IJP13aclTensorListEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0__ZN2op31AddOutputTensorToThreadLocalCtxEP13aclTensorList_ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensormlEES2_IJP13aclTensorListEEEEPKciNS_7OpLevelESB_SB_SB_OKT_OKT0_aclnnSplitTensorGetWorkspaceSize_ZN2op8internal13AddParamToBufEP13aclTensorListaclnnSplitWithSize_ZN2op10OpDfxGuardC2ISt5tupleIJP9aclTensorPK11aclIntArraylEES2_IJP13aclTensorListEEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJP9aclTensorPK11aclIntArraylEES2_IJP13aclTensorListEEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnSplitWithSizeGetWorkspaceSizeaclnnSqrtaclnnInplaceSqrtaclnnSqrtGetWorkspaceSizeaclnnInplaceSqrtGetWorkspaceSizeEmplaceTensorListaclnnStackaclnnStackGetWorkspaceSizeaclnnStd_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArraylbEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArraylbEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnStdGetWorkspaceSizeaclnnStdMeanCorrection_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArraylbEES2_IJPS3_SA_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArraylbEES2_IJPS3_SA_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnStdMeanCorrectionGetWorkspaceSizeaclnnSubaclnnInplaceSubaclnnSubsaclnnInplaceSubsaclnnSubsGetWorkspaceSizeaclnnInplaceSubsGetWorkspaceSizeaclnnSubGetWorkspaceSizeaclnnInplaceSubGetWorkspaceSizeaclnnSumaclnnSumGetWorkspaceSizeaclnnTakeaclnnTakeGetWorkspaceSizeaclnnTanaclnnInplaceTanaclnnInplaceTanGetWorkspaceSizeaclnnTanGetWorkspaceSizeaclnnTanhaclnnInplaceTanhExecTanhGetWorkspaceSizeaclnnTanhGetWorkspaceSizeaclnnInplaceTanhGetWorkspaceSizeaclnnTanhBackwardaclnnTanhBackwardGetWorkspaceSizeaclnnThreeInterpolateBackwardaclnnThreeInterpolateBackwardGetWorkspaceSizeaclnnThresholdaclnnInplaceThresholdExecThresholdGetWorkspaceSizeaclnnInplaceThresholdGetWorkspaceSizeaclnnThresholdGetWorkspaceSizeaclnnThresholdBackwardaclnnThresholdBackwardGetWorkspaceSizeMakeWrapDimaclnnTopk_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorllbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorllbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnTopkGetWorkspaceSizeaclnnTraceaclnnTraceGetWorkspaceSizeaclnnTransConvolutionWeightCalculateConvWeightSizeaclnnCalculateConvolutionWeightSize_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorblEES2_IJPS3_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorblEES2_IJPS3_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnTransConvolutionWeightGetWorkspaceSizeaclnnTransMatmulWeightaclnnCalculateMatmulWeightSizeaclnnCalculateMatmulWeightSizeV2aclnnTransMatmulWeightGetWorkspaceSizeaclnnTransQuantParamcallocTransQuantScaleToM1TransQuantOffsetToToM1aclnnTransQuantParamV2aclnnInnerTransQuantParamV2aclnnTransQuantParamV2GetWorkspaceSizeaclnnInnerTransQuantParamV2GetWorkspaceSizeaclnnTriangularSolve_Z18ReportErrorMessageILm7EJRA2_KcmEEvRAT__S0_PS0_DpOT0__ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorS5_bbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorS5_bbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnTriangularSolveGetWorkspaceSizeaclnnTrilaclnnInplaceTrilaclnnTrilGetWorkspaceSizeaclnnInplaceTrilGetWorkspaceSizeaclnnTriuaclnnInplaceTriu_Z22doTriuGetWorkspaceSizePK9aclTensorlPS_PmPP13aclOpExecutoraclnnTriuGetWorkspaceSizeaclnnInplaceTriuGetWorkspaceSizeaclnnTruncaclnnInplaceTruncaclnnTruncGetWorkspaceSizeaclnnInplaceTruncGetWorkspaceSizeaclnnInplaceUniformaclnnInplaceUniformGetWorkspaceSizeaclnnUnique_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorbbEES2_IJPS3_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnUniqueGetWorkspaceSizeaclnnUnique2_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorbbbEES2_IJPS3_S7_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorbbbEES2_IJPS3_S7_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnUnique2GetWorkspaceSizeaclnnUniqueConsecutive_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorbblEES2_IJPS3_S7_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorbblEES2_IJPS3_S7_S7_EEEEPKciNS_7OpLevelESA_SA_SA_OKT_OKT0_aclnnUniqueConsecutiveGetWorkspaceSizeaclnnUniqueDimaclnnUniqueDimGetWorkspaceSizeaclnnUpsampleBicubic2d_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArraybddEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArraybddEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnUpsampleBicubic2dGetWorkspaceSize_ZN13aclOpExecutor15AllocFloatArrayEPKfmaclnnUpsampleBicubic2dBackward_ZN2op10OpDfxGuardC2ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_bddEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0__ZN2op10OpDfxGuardC1ISt5tupleIJPK9aclTensorPK11aclIntArrayS8_bddEES2_IJPS3_EEEEPKciNS_7OpLevelESD_SD_SD_OKT_OKT0_aclnnUpsa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HEHEHEHHEHUHMHHHHH=V(HEH?Hl"H5U(HZ"HL5 AHEHyHELLLLHHH=U(HEHHdl"H5U(H"HnL% AHEHHELLLLHHH=xU(#HEHwHl"H5YU(H"H H$H$HUU(HVU(H$H$HIU(HJU(H$H$H=U(H>U(H߾$H$H1U(H2U(H$H$H%U(H&U(H$H$HU(HU(H۾$Hܾ$H U(HU(HϾ$Hо$HU(HU(Hþ$Hľ$HT(HT(H$H$HT(HT(H$H$HT(HT(H$H$HT(HT(H$H$HT(HT(H$H$HT(HT(H{$H|$HT(HT(Ho$Hp$HT(HT(Hc$Hd$HT(HT(HW$HX$HT(HT(HK$HL$H}T(H~T(H?$H@$HqT(HrT(H3$H4$HeT(HfT(H'$H($HYT(HZT(H$H$HMT(HNT(H$H$HAT(HBT(H$H$H5T(H6T(H$H$H)T(H*T(H$H$HT(HT(H߽$H$HT(HT(Hӽ$HԽ$HT(HT(Hǽ$HȽ$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H$H$HS(HS(H{$H|$HS(HS(Ho$Hp$HS(HS(Hc$Hd$HuS(HvS(HW$HX$HiS(HjS(HK$HL$H]S(H^S(H?$H@$HQS(HRS(H3$H4$HES(HFS(H'$H($H9S(H:S(H$H$H-S(H.S(H$H$H!S(H"S(H$H$HS(HS(H$H$H S(H S(H$H$HR(HR(H߼$H$HR(HR(HӼ$HԼ$HR(HR(HǼ$Hȼ$HR(HR(H$H$HR(HR(H$H$HR(HR(H$H$HR(HR(H$H$HR(HR(H$H$HR(HR(H$H$HR(HR(Hs$Ht$HR(HR(Hg$Hh$HyR(HzR(H[$H\$HmR(HnR(HO$HP$HaR(HbR(HC$HD$HUR(HVR(H7$H8$HIR(HJR(H+$H,$H=R(H>R(H$H $H1R(H2R(Hӷ$HԷ$H%R(H&R(H׹$Hع$HR(HR(Hۻ$Hܻ$H R(HR(NHHEHHHHHEHkHHHHEHQHHHEdH3%(t"H8[A\A]A^A_]UHE]f.@HH "H5"HHHH"^f.@H, H"HHf.SH7H[.HHbasic_string::_S_createAbsAiCoreself, outMemSetNonFiniteCheckAbsAiCpuEZ1001EZ9903basic_string::_S_construct null not validbasic_string::appendbasic_string::basic_string%s: __pos (which is %zu) > this->size() (which is %zu)OpName:[] NNOP:basic_string::substr[%s:%d][%s][%s][%ld] %sEntering function %s.[%s:%d][%s][%s][%ld] %sEntering function params: %s.[%s:%d][%s][%s][%ld] %sEntering function end. %dEZ9999[%s:%d][%s][%s][%ld] errno[%d] %sfailed to allocate OpArgContext.failed to allocate OpArgContext.561000AbsAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAbsAiCore AccumulateNV2tensorsaccumulate_nv2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardAccumulateNV2AcosAiCoreinput, outputAcosAiCpuAcosAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAcosAiCoreAcoshAiCoreAcoshAiCpu[%s:%d][%s][%s][%ld] errno[%d] %scheck %s failed.AcoshAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAcoshAiCoreAcoshAdaptiveAvgPool2dAssistMatrixinput, output_size161002adaptive_avg_pool2d_assist_matrix.cpp[%s:%d][%s][%s][%ld] errno[%d] %sAssistMatrixInferShape failed.AssistMatrixInferShape failed.AdaptiveAvgPool2dAssistMatrixAiCpuMakeOpArgContextAdaptiveAvgPool2dAssistMatrixAiCpuSplitStringAndPrintOpDfxGuardAdaptiveAvgPool2dAssistMatrixAdaptiveAvgPool2dAssistMatrixAdapativeMaxPool2dAiCpuself, outputSize561103self, outputSize, outputOut, indicesOut[%s:%d][%s][%s][%ld] errno[%d] %soutputOut or indicesOut is nullptr.outputOut or indicesOut is nullptr.OpDfxGuardAdaptiveMaxPool2dAdaptiveMaxPool2dMakeOpArgContextSplitStringAndPrintOpDfxGuardAdapativeMaxPool2dAiCpuBroadcast %s and %s failed.self, other, addOut[%s:%d][%s][%s][%ld] errno[%d] %sBroadcast %s and %s failed.OpDfxGuardAddAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAddAiCoreAdd    AddcdivAiCoreself, tensor1, tensor2, valueAddcdivAiCpu[%s:%d][%s][%s][%ld] errno[%d] %sbroadcast self: %s, tensor1: %s, tensor2: %s failed.broadcast self: %s, tensor1: %s, tensor2: %s failed.AddcdivAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAddcdivAiCoreAddcdivBroadcast failed.self, tensor1, tensor2, outAddcmulAiCpuAddcmulAiCore[%s:%d][%s][%s][%ld] errno[%d] %sBroadcast failed.MakeOpArgContextOpDfxGuardAddcmulAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAddcmulAiCoreAddcmulAffineGridAiCpu%dalign_cornersbasic_string::inserttheta, size, alignCorners, outMakeOpArgContextSplitStringAndPrintOpDfxGuardAffineGridAiCpufailed to init OpArgContext.[%s:%d][%s][%s][%ld] errno[%d] %sfailed to init OpArgContext.%fvarRef, mRef, vRef, maxGradNormOptionalRef, grad, step, lr, beta1, beta2, weightDecay, eps, amsgrad, maximizeMakeOpArgContextSplitStringAndPrintOpDfxGuardApplyAdamWV2ArangeAiCorestart, end, step, arangeOutArangeAiCpuTidxMakeOpArgContextArangeAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardArangeAiCore  ArgMaxV2ArgMaxV2 InferShape failed.ArgMaxV2AiCorex, dim, outArgMaxV2AiCpuoutput_typeargmax_v2.cpp[%s:%d][%s][%s][%ld] errno[%d] %sArgMaxV2 InferShape failed.MakeOpArgContextArgMaxV2AiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardArgMaxV2AiCoreMakeOpArgContextArgMaxV2  Max2AiCoreArgMaxWithValueself, dim, keepdimargmax_with_value.cppself, dim, keepdim, indices, out[%s:%d][%s][%s][%ld] errno[%d] %sArgMaxWithValue InferShape failed.ArgMaxWithValue InferShape failed.OpDfxGuardArgMaxWithValueArgMaxWithValueMakeOpArgContextSplitStringAndPrintOpDfxGuardMax2AiCoreArgMin InferShape failed.ArgMinAiCoreArgMinAiCpu[%s:%d][%s][%s][%ld] errno[%d] %sArgMin InferShape failed.MakeOpArgContextArgMinAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardArgMinAiCoreMakeOpArgContextArgMin  Min2AiCoreArgMinWithValueargmin_with_value.cpp[%s:%d][%s][%s][%ld] errno[%d] %sArgMinWithValue InferShape failed.ArgMinWithValue InferShape failed.OpDfxGuardArgMinWithValueArgMinWithValueMakeOpArgContextSplitStringAndPrintOpDfxGuardMin2AiCoreAsStridedAiCoreAsStridedas_strided.cppx, y, size, stride, storageOffsetMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardAsStridedAiCore  !  !AscendAntiQuantV2AicoreAscendAntiQuantV2ACL_ERROR_INVALID_PARAMascend_anti_quant_v2.cppx, scale, offset, dstType, sqrtMode, out[%s:%d][%s][%s][%ld] errno[%d] %sdtype of input x is not supporteddtype of input x is not supportedAscendAntiQuantV2MakeOpArgContextSplitStringAndPrintOpDfxGuardAscendAntiQuantV2AicoreAscendQuantV2AicoreAscendQuantV2ascend_quant_v2.cpp:nullptr, x, scale, offset, sqrtMode, roundMode, dstType, outAscendQuantV2MakeOpArgContextSplitStringAndPrintOpDfxGuardAscendQuantV2AicoreAsinAiCoreAsinAiCpuAsinAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAsinAiCoreAsinhAiCoreAsinhAiCpuAsinhAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAsinhAiCoreAtanAiCoreAtanAiCpuAtanAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAtanAiCoreAtan2AiCoreself, other, outAtan2AiCpuAtan2AiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAtan2AiCoreAtanhAiCoreAtanhAiCpuAtanhAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAtanhAiCoreAvgPoolUpdate5HdAvgPoolUpdateavgpool_update.cppx1, x2, ksize, strides, paddingMode, pads, dataFormat, ceilMode, exclusive[%s:%d][%s][%s][%ld] errno[%d] %sInferShape failed.MakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardAvgPoolUpdate5HdAvgPoolUpdate5HdAvgPoolNchwAvgPoolV2ksizepadding_modepadsdata_formatglobal_poolingceil_modeexclusivedivisor_overrideavgpool_v2.cppx, window, stride, paddingMode, pad, dataFormat, globalPooling, ceilMode, exclusive, divisorOverrideMakeOpArgContextSplitStringAndPrintOpDfxGuardAvgPoolNchwself, other, alpha, axpyOutAxpyself, other, alphaAxpyAiCpuAxpyAiCoreaxpy.cppMakeOpArgContextOpDfxGuardAxpyAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardAxpyAiCoreAxpyBatchMatMulV3NdBatchMatMulV3BatchMatMulNdBatchMatMulV2BatchMatMulNzFp162Fp16BatchMatMulNdFp162Fp32BatchMatMulNzFp162Fp32x1, x2, bias, offsetW, adjX1, adjX2, offsetXBatchMatMulNzFp162Fp32BatchMatMulNzFp162Fp32BatchMatMulNdFp162Fp32BatchMatMulNdFp162Fp32BatchMatMulNzFp162Fp16BatchMatMulNzFp162Fp16MakeOpArgContextBatchMatMulNdBatchMatMulNdMakeOpArgContextSplitStringAndPrintOpDfxGuardBatchMatMulV3NdBatchMatMulV3NdBNInferBN3DTrainingUpdateBN3DTrainingReduceBNTrainingReduceinput, weight, bias, runningMean, runningVar, epsx, sum, squareSum, scale, offset, mean, var, factor, epsBN3DTrainingUpdateMakeOpArgContextOpDfxGuardBNTrainingUpdateBN3DTrainingReduceMakeOpArgContextOpDfxGuardBNTrainingReduceMakeOpArgContextSplitStringAndPrintOpDfxGuardBNInferBN3DTrainingUpdateGradBN3DTrainingReduceGradBNInferGradBNTrainingUpdateGradBNTrainingReduceGradgradOut, x, saveMean, saveInvstd, epsgradOut, x, gradWeight, gradBias, weight, saveMean, saveInvstd, epsgradOut, weight, runningVar, epsMakeOpArgContextOpDfxGuardBNInferGradBN3DTrainingReduceGradMakeOpArgContextOpDfxGuardBNTrainingReduceGradBN3DTrainingUpdateGradMakeOpArgContextSplitStringAndPrintOpDfxGuardBNTrainingUpdateGradSyncBatchNormBackwardReducebatch_norm_backward_reduce.cppsumDy, sumDyXmuPad, mean, invstdMakeOpArgContextSplitStringAndPrintOpDfxGuardSyncBatchNormBackwardReduceSyncBatchNormBackwardElemtbatch_norm_elemt_backward.cppgradOut, input, mean, invstd, weight, meadDy, meadDyXmuMakeOpArgContextSplitStringAndPrintOpDfxGuardSyncBatchNormBackwardElemtBatchMatmulFixpipebatchmatmulquant.cppx1, x2, quantParam, bias, adjX1, adjX2MakeOpArgContextSplitStringAndPrintOpDfxGuardBatchMatmulQuantBatchMatmulQuantbinary_cross_entropy.cppself, target, weight, reductionMakeOpArgContextSplitStringAndPrintOpDfxGuardBinaryCrossEntropyBinaryCrossEntropyGradbinary_cross_entropy_backward.cppgradOutput, self, target, weightOptional, reductionMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardBinaryCrossEntropyGradBinaryCrossEntropyGradbinary_cross_entropy_with_logits.cppSigmoidCrossEntropyWithLogitsV2self, target, weightOptional, posWeightOptional, reductionMakeOpArgContextSplitStringAndPrintOpDfxGuardSigmoidCrossEntropyWithLogitsV2binary_cross_entropy_with_logits_backward.cppSigmoidCrossEntropyWithLogitsGradV2gradOutput, self, target, weightOptional, posWeightOptional, reductionMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardSigmoidCrossEntropyWithLogitsGradV2SigmoidCrossEntropyWithLogitsGradV2BincountAiCpux, size, weights, outMakeOpArgContextSplitStringAndPrintOpDfxGuardBincountAiCpualloc out tensor failed.BitwiseOrBitwiseOrAiCpuBitwiseOrAiCorebitwise_or.cpp[%s:%d][%s][%s][%ld] errno[%d] %salloc out tensor failed.BitwiseOrAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardBitwiseOrAiCoreBitwiseOrBitwiseXorBitwiseXorAiCpuBitwiseXorAiCorebitwise_xor.cppBitwiseXorAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardBitwiseXorAiCoreBitwiseXorBitwiseAndBitwiseAndAiCoreBitwiseAndAiCpuMakeOpArgContextBitwiseAndAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardBitwiseAndAiCoreBitwiseAndBroadcastToAiCorex, y, shapeBroadcastToBroadcastToAiCpubroadcast_to.cppMakeOpArgContextMakeOpArgContextBroadcastToAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardBroadcastToAiCore      CastAiCoreself, dstDtype, castOutCastAiCpuSrcTDstTTruncatedst_typeIsAiCpuSupport(self, dstDtype)[%s:%d][%s][%s][%ld] %sEntering L0 CastOnlyForConvBackwardCastOnlyForConvBackwardMakeOpArgContextMakeOpArgContextOpDfxGuardCastAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCastAiCoreCast                                              CeilAiCoreCeilAiCpuCeilAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCeilAiCoreCeluV2self, alphacelu_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardCeluV2CeluV2ChamferDistanceGradchamfer_distance_backward.cppxyz1, xyz2, idx1, idx2, gradDist1, gradDist2MakeOpArgContextSplitStringAndPrintOpDfxGuardChamferDistanceGradClipByValueV2infershape failed.ClipByValueV2AiCpuClipByValueV2AiCoreclip_by_value.cpp[%s:%d][%s][%s][%ld] errno[%d] %sinfershape failed.ClipByValueV2AiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardClipByValueV2AiCoreClipByValueV2AiCoreCol2imcol2im.cppgradOutput, inputSize, kernelSize, dilation, padding, strideMakeOpArgContextSplitStringAndPrintOpDfxGuardCol2imComplexAiCorereal, imag, out, ToutComplexAiCpuComplexAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardComplexAiCoreComplexConcatDinputs, diminputs, dim, outDtypeconcat.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInputs tensor list's size should be (0, %zu]) but current size is %zu.Inputs tensor list's size should be (0, %zu]) but current size is %zu.OpDfxGuardConcatDConcatDMakeOpArgContextSplitStringAndPrintOpDfxGuardConcatDIndex out of rangecurrentTensor != nullptrshapeArray != nullptrPickViewAsContiguousReViewToOutx, yTensor can not review to out.Invalid input tensor: %sOptimizeContiguous failed.ViewCopyParams check failed.[%s:%d][%s][%s][%ld] errno[%d] %sTensor can not pick view as contiguous.Tensor can not pick view as contiguous.[%s:%d][%s][%s][%ld] errno[%d] %sTensor can not review to out.[%s:%d][%s][%s][%ld] %sBetter performance with AsStrided operation.[%s:%d][%s][%s][%ld] errno[%d] %sInvalid input tensor: %s[%s:%d][%s][%s][%ld] errno[%d] %sOptimizeContiguous failed.[%s:%d][%s][%s][%ld] errno[%d] %sConvert tensor to contiguous failed.Convert tensor to contiguous failed.[%s:%d][%s][%s][%ld] %sViewCopy data addr: %p[%s:%d][%s][%s][%ld] errno[%d] %sParams check failed.[%s:%d][%s][%s][%ld] %sThe input and output point to the same address.[%s:%d][%s][%s][%ld] %sThe input and output are created by the user.[%s:%d][%s][%s][%ld] %sContiguous copy with move align.[%s:%d][%s][%s][%ld] errno[%d] %sOutput tensor should not from workspace.Output tensor should not from workspace.[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor's dtype[%s] should be same with output's dtype[%s].Input tensor's dtype[%s] should be same with output's dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor's format[%s] should be same with output's format[%s].Input tensor's format[%s] should be same with output's format[%s].[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor's shape[%s] should be same with output's shape[%s].Input tensor's shape[%s] should be same with output's shape[%s].ReViewToOutReViewToOutPickViewAsContiguousPickViewAsContiguousCheckViewCopyParamsOpDfxGuardViewCopyViewCopySplitStringAndPrintOpDfxGuardContiguousContiguousOptimizeViewViewCopyToViewOptimizeContiguousCanOptimizeAsStridedContiguous@  xx Conv2dWithFlagConv2D561001Conv2d5HdFp1625HdFp32Conv3dWithFlagConv3DConv3d6HdFp16ConvTranspose2dWithFlagNOTSETConv2DTransposeConvTranspose2d5HdBf16Conv2d5HdFp16ConvTranspose2d5HdFp32ConvTranspose3dWithFlagNCDHWConv3DTransposeConvTranspose3d6HdFp32Conv3d6HdBf16Conv2d5HdBf16Conv3d6HdFp32Conv2d5HdFp32ConvTranspose2d5HdFp16ConvTranspose3d6HdFp16ConvTranspose3d6HdBf16input, weight, stride, padding, dilation, groups, useHf32[%s:%d][%s][%s][%ld] %snew pad: [%ld] [%ld] [%ld] [%ld]input, weight, stride, padding, dilation, groupsinput, weight, bias, stride, padding, dilation, groups, useHf32input, weight, bias, stride, padding, dilation, groupsinput, weight, bias, stride, padding, dilation, groups, outputPadding, useHf32input, weight, stride, padding, dilation, groups, outputPaddinginput, weight, stride, padding, dilation, groups, outputPadding, useHf32ConvTranspose3d6HdBf16ConvTranspose3d6HdFp32MakeOpArgContextMakeOpArgContextConvTranspose3dWithFlagConvTranspose3dWithFlagConvTranspose3d6HdFp16ConvTranspose2d5HdBf16OpDfxGuardConvTranspose2d5HdFp32MakeOpArgContextMakeOpArgContextOpDfxGuardConvTranspose2dWithFlagConvTranspose2dWithFlagOpDfxGuardConvTranspose2d5HdFp16Conv3d6HdBf16Conv3d6HdFp32MakeOpArgContextMakeOpArgContextConv3dWithFlagConv3dWithFlagConv3d6HdFp16OpDfxGuardConv2d5HdBf16OpDfxGuardConv2d5HdFp32Conv2d5HdFp1625HdFp32MakeOpArgContextMakeOpArgContextOpDfxGuardConv2dWithFlagConv2dWithFlagSplitStringAndPrintOpDfxGuardConv2d5HdFp16Conv2DBackpropInputFp162Fp16Conv2DBackpropInputConv2DBackpropInputFp322Fp32Conv2DBackpropInputHf32Conv2DBackpropInputBf162Bf16Conv2DBackpropFilterFp162Fp32Conv2DBackpropFilterConv2DBackpropFilterFp322Fp32Conv2DBackpropFilterHf32Conv2DBackpropFilterBf162Fp32Conv2dBackpropFilterV2Conv3DBackpropFilterWithFlagConv3DBackpropFilterConv3DBackpropFilterFp162Fp32Conv3DBackpropFilterFp322Fp32Conv3DBackpropFilterHf32Conv3DBackpropFilterBf162Fp32Conv3DBackpropInputWithFlagConv3DBackpropInputConv3DBackpropInputFp162Fp16Conv3DBackpropInputFp322Fp32Conv3DBackpropInputHf32Conv3DBackpropInputBf162Bf16convolutionbackward.cppinput, weight, outBackprop, stride, padding, dilation, groups[%s:%d][%s][%s][%ld] %sinputSize is: %s[%s:%d][%s][%s][%ld] errno[%d] %sConv2DBackpropInput InferShape failed.Conv2DBackpropInput InferShape failed.[%s:%d][%s][%s][%ld] %sweightSize is: %s[%s:%d][%s][%s][%ld] errno[%d] %sConv2DBackpropFilter InferShape failed.Conv2DBackpropFilter InferShape failed.Conv2DBackpropFilterV2Fp162Fp32Conv2DBackpropFilterV2Bf162Fp32input, weight, outBackprop, stride, padding, dilation, groups, use_hf32[%s:%d][%s][%s][%ld] errno[%d] %sConv3DBackpropFilter InferShape failed.Conv3DBackpropFilter InferShape failed.[%s:%d][%s][%s][%ld] errno[%d] %sConv3DBackpropInput InferShape failed.Conv3DBackpropInput InferShape failed.Conv3DBackpropInputBf162Bf16Conv3DBackpropInputHf32Conv3DBackpropInputFp322Fp32Conv3DBackpropInputFp162Fp16Conv3DBackpropInputWithFlagConv3DBackpropInputWithFlagConv3DBackpropFilterBf162Fp32Conv3DBackpropFilterHf32Conv3DBackpropFilterFp322Fp32OpDfxGuardConv3DBackpropFilterWithFlagConv3DBackpropFilterWithFlagConv3DBackpropFilterFp162Fp32Conv2DBackpropFilterV2Bf162Fp32Conv2DBackpropFilterV2Bf162Fp32Conv2DBackpropFilterV2Fp162Fp32Conv2DBackpropFilterV2Fp162Fp32Conv2DBackpropFilterBf162Fp32Conv2DBackpropFilterBf162Fp32Conv2DBackpropFilterHf32Conv2DBackpropFilterHf32Conv2DBackpropFilterFp322Fp32Conv2DBackpropFilterFp322Fp32MakeOpArgContextConv2DBackpropFilterFp162Fp32Conv2DBackpropFilterFp162Fp32Conv2DBackpropInputBf162Bf16Conv2DBackpropInputBf162Bf16Conv2DBackpropInputHf32Conv2DBackpropInputHf32Conv2DBackpropInputFp322Fp32Conv2DBackpropInputFp322Fp32MakeOpArgContextSplitStringAndPrintOpDfxGuardConv2DBackpropInputFp162Fp16Conv2DBackpropInputFp162Fp16CosAiCoreCosAiCpuCosAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCosAiCoreCoshAiCoreCoshAiCpucoshOut != nullptrCoshCoshCoshAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCoshAiCoreCrossAiCoreself, other, dim, crossOutCrossAiCpuMakeOpArgContextCrossAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCrossAiCoreCtcLossAiCpuCTCLossV2blankzero_infinityCtcLossAiCorectc_loss_v2.cpplogProbs, targets, inputLengthsTensor, targetLengthsTensor, negLogLikelihood, logAlpha, blank, zeroInfinityCtcLossAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCtcLossAiCoreCtcLossV2GradAiCoreCTCLossV2GradCtcLossV2GradAiCpuctc_loss_v2_grad.cppgradOut, logProbs, targets, inputLengthsTensor, targetLengthsTensor, negLogLikelihood, logAlpha, blank, zeroInfinity, resultCtcLossV2GradAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCtcLossV2GradAiCoreCummaxAiCpuself, dim, valuesOut, indicesOutMakeOpArgContextSplitStringAndPrintOpDfxGuardCummaxAiCpuCummaxExecCumminAiCoreCumminAiCpuCumminOutInt64CumminAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCumminAiCoreCumminOutInt32CumsumAiCoreself, dim, outCumsumAiCpuCumsumMakeOpArgContextCumsumAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardCumsumAiCoreCumsumDiagFlatAiCoreself, diagonal, diagFlatOutMakeOpArgContextSplitStringAndPrintOpDfxGuardDiagFlatAiCoreDiagV2diagv2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardDiagV2DigammaAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardDigammaAiCpuDilationdilation.cppx, dilations, pads, paddingValueMakeOpArgContextSplitStringAndPrintOpDfxGuardDilationself, other, divOutOpDfxGuardDivAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardDivAiCoreDivself, tensorMakeOpArgContextSplitStringAndPrintOpDfxGuardDotDotDropoutDoMaskAiCoreinput, mask, prob, outDropOutDoMaskDropoutDoMaskAiCpuDropoutDoMaskAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardDropoutDoMaskAiCoreDSAGenBitMaskcount, seed, offset, dropoutdsa_gen_bit_mask.cpp%luDSAGenBitMaskDSAGenBitMaskMakeOpArgContextSplitStringAndPrintOpDfxGuardDSAGenBitMaskDSARandomNormaldsa_random_normal.cppoutShape, seed, offset, mean, stdevMakeOpArgContextSplitStringAndPrintOpDfxGuardDSARandomNormalDSARandomNormalDSARandomUniformdsa_random_uniform.cppoutShape, seed, offset, low, highMakeOpArgContextSplitStringAndPrintOpDfxGuardDSARandomUniformDSARandomUniformEluAiCoreEluAiCpuinput_scaleself, alpha, scale, inputScale, outEluAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardEluAiCoreEluEluGradV2elu_grad_v2.cppgradOutput, alpha, scale, inputScale, isResult, selfOrResult[%s:%d][%s][%s][%ld] errno[%d] %salloc gradIntput tensor failed.alloc gradIntput tensor failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardEluGradV2EluGradV2weight, indices, offsets, scaleGradByFreq, modeStr, sparse, perSampleWeights, includeLastOffsetMakeOpArgContextSplitStringAndPrintOpDfxGuardEmbeddingBagEmbeddingDenseGradembedding_dense_grad.cppgrad, indices, numWeights, paddingIdx, scaleGradByFreqMakeOpArgContextSplitStringAndPrintOpDfxGuardEmbeddingDenseGradself, other, eqOutincompatible_shape_errorEqualAiCpuMakeOpArgContextOpDfxGuardEqualAiCpuTfMakeOpArgContextSplitStringAndPrintOpDfxGuardEqualAiCoreEqual     ErfAiCoreErfAiCpuErfAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardErfAiCoreErfcAiCoreErfcAiCpuErfcAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardErfcAiCoreErfcErfinvAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardErfinvAiCoreExpAiCpuExpAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardExpAiCoreExpself, shapeACL_ERROR_FAILUREexpandOut != nullptrshapeTensor != nullptrExpandAiCoreself, shape, expandOutExpandAiCpu[%s:%d][%s][%s][%ld] errno[%d] %slength of shape should not be less than input_x's dimension.length of shape should not be less than input_x's dimension.[%s:%d][%s][%s][%ld] errno[%d] %sshape cannot be expanded to an incompatible value.shape cannot be expanded to an incompatible value.[%s:%d][%s][%s][%ld] errno[%d] %sinput tensor should be contiguous.input tensor should be contiguous.[%s:%d][%s][%s][%ld] errno[%d] %sInferShape failed for expand operation.InferShape failed for expand operation.OpDfxGuardExpandAiCpuMakeOpArgContextOpDfxGuardExpandAiCoreSplitStringAndPrintOpDfxGuardExpandExpandExpandInfershape  Expm1AiCoreMakeOpArgContextOpDfxGuardExpm1AiCoreSplitStringAndPrintOpDfxGuardExpm1EyeAiCoreout, n, mMakeOpArgContextSplitStringAndPrintOpDfxGuardEyeAiCoreFakeQuantAffineCachemaskfake_quant_affine_cachemask.cppself, scale, zeroPoint, quantMin, quantMaxMakeOpArgContextSplitStringAndPrintOpDfxGuardFakeQuantAffineCachemaskFastGelufast_gelu.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardFastGeluFFN launch kernel failed.x, weight1, weight2, bias1, bias2, scale, offset, deqScale1, deqScale2, antiquantScale1, antiquantScale2, antiquantOffset1, antiquantOffset2, activation, innerPrecise, yDtype, tokensIndexFlag[%s:%d][%s][%s][%ld] errno[%d] %sFFN launch kernel failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardFFNFFNdims, value, fillOutdims, valueindex_type[%s:%d][%s][%s][%ld] %sEntering l0 FillMakeOpArgContextOpDfxGuardFillAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardFillAiCoreFill    FillDiagonalAiCpuself, fillValue, wrap, outfill_valuewrapMakeOpArgContextSplitStringAndPrintOpDfxGuardFillDiagonalAiCpuFillDiagonalflash_attention_score.cppquery, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTockensOptional, nextTockensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional[%s:%d][%s][%s][%ld] errno[%d] %sFlashAttentionScore InferShape failed.FlashAttentionScore InferShape failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardFlashAttentionScoreFlashAttentionScoreFag InferShape failed.Fag launch kernel failed.flash_attention_score_grad.cppquery, key, value, dy, pseShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, softmaxMaxOptional, softmaxSumOptional, softmaxInOptional, attentionInOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTockensOptional, nextTockensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional[%s:%d][%s][%s][%ld] errno[%d] %sFag InferShape failed.[%s:%d][%s][%s][%ld] errno[%d] %sFag launch kernel failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardFlashAttentionScoreGradFlashAttentionScoreGradFlattenAiCoreself, axis, out[%s:%d][%s][%s][%ld] errno[%d] %s[Flatten] alloc out tensor failed.[Flatten] alloc out tensor failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardFlattenAiCoreFlatten    FloorAiCoreFloorAiCpuFloorAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardFloorAiCoreFloorModAiCoreinput, other, outFloorModFloorModAiCpuinput, otherfloor_mod.cppOpDfxGuardFloorModFloorModAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardFloorModAiCoreFloorDivFloorDivAiCoreFloorDivAiCpufloordiv.cppFloorDivAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardFloorDivAiCoreFloorDivself, indicesvalidate_indicesTparamsTindicesGatherAiCPUGatherAiCoreself, indices, validateIndices, batchDims, negativeIndexSupportMakeOpArgContextOpDfxGuardGatherAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardGatherAiCoreGatherElementsself, dim, indexgather_elements.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardGatherElements  self, indices, negativeIndexSupportMakeOpArgContextSplitStringAndPrintOpDfxGuardGatherNdGatherV2AiCoreGatherV2AiCPUbatch_dimsnegative_index_supportself, indices, axis, batchDims, negativeIndexSupportGatherV2AiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardGatherV2AiCore    GcdAiCore[%s:%d][%s][%s][%ld] errno[%d] %sSelf tensor shape:%s and other tensor shape:%s can't broadcast.Self tensor shape:%s and other tensor shape:%s can't broadcast.[%s:%d][%s][%s][%ld] errno[%d] %s[Gcd] alloc out tensor failed.[Gcd] alloc out tensor failed.MakeOpArgContextOpDfxGuardGcdAiCoreSplitStringAndPrintOpDfxGuardGcdGcdGeGluGradV2geglu_grad_v2.cppgradOutput, self, gelu, dim, approximate, activateLeftMakeOpArgContextSplitStringAndPrintOpDfxGuardGeGluGradV2GeGluGradV2GeGluV2geglu_v2.cppself, dim, approximate, activateLeft[%s:%d][%s][%s][%ld] errno[%d] %salloc out or outGelu tensor failed.alloc out or outGelu tensor failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardGeGluV2GeGluV2MakeOpArgContextSplitStringAndPrintOpDfxGuardGeluGeluGradGeluGradAiCoregelu_grad.cppgradOutput, self, unused, gradInputMakeOpArgContextGeluGradAiCoreSplitStringAndPrintOpDfxGuardGeluGradx, approximateMakeOpArgContextSplitStringAndPrintOpDfxGuardGeluV2self, vec2MakeOpArgContextSplitStringAndPrintOpDfxGuardGerGerGreaterAiCoreself, other, gtOutGreaterGreaterAiCpugreater.cppOpDfxGuardGreaterAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardGreaterAiCoreGreater  GreaterEqualInferShape %s and %s failed.greater_equal.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInferShape %s and %s failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardGreaterEqualGreaterEqualGridSampler2DAiCoreinterpolation_modechannel_lastGridSamplebilinearnearestbicubiczerosborderreflectioninput, grid, interpolationMode, paddingMode, alignCorners, channelLastMakeOpArgContextMakeOpArgContextGridSampler2DAiCoreSplitStringAndPrintOpDfxGuardGridSampler2DGridSampler2DGridSampler2DGradGridSamplerGradgrid_sampler2d_grad.cppgradOutput, input, grid, interpolationMode, paddingMode, alignCorners[%s:%d][%s][%s][%ld] errno[%d] %salloc gridGrad or inputGrad tensor failed.alloc gridGrad or inputGrad tensor failed.GridSamplerGradGridSamplerGradMakeOpArgContextSplitStringAndPrintOpDfxGuardGridSampler2DGradGridSampler2DGradinput, grid, interpolationMode, paddingMode, alignCornersMakeOpArgContextSplitStringAndPrintOpDfxGuardGridSampler3DGridSampler3DGridSampler3DGradgrid_sampler3d_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardGridSampler3DGradGridSampler3DGradGroupNormAICorex, gamma, beta, numGroups, eps, isTraining, y, mean, varianceMakeOpArgContextSplitStringAndPrintOpDfxGuardGroupNormAICoreGroupNormGradgroup_norm_grad.cppdy, mean, rstd, x, gamma, numGroups, dataFormat, dxIsRequire, dgammaIsRequire, dbetaIsRequire, dxOutput, dgammaOutput, dbetaOutputMakeOpArgContextSplitStringAndPrintOpDfxGuardGroupNormGradalloc output tensor failed.x, gamma, beta, numGroups, eps, activateSilu[%s:%d][%s][%s][%ld] errno[%d] %salloc output tensor failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardGroupNormSiluGroupNormSilu(*x)[0] is nullptr.x, weight, biasOptional, scaleOptional, offsetOptional, antiquantScaleOptional, antiquantOffsetOptional, groupListOptional, splitItem, yDtype, transposeWeight, transposeX, groupType, outLength[%s:%d][%s][%s][%ld] errno[%d] %s(*x)[0] is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sADD_TO_LAUNCHER_LIST_AICORE failed.ADD_TO_LAUNCHER_LIST_AICORE failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardGroupedMatmulGroupedMatmulHardSwishGradgradOutput, selfhard_swish_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardHardSwishGradinput, lambd, outputHardShrinkHardShrinkAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardHardShrinkAiCoreHardShrinkGradgradOutput, self, lambdhardshrink_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardHardShrinkGradHardSigmoidhardsigmoidOut != nullptrMakeOpArgContextSplitStringAndPrintOpDfxGuardHardSigmoidHardSigmoidHardSigmoidGradgrads, x, alpha, betahardsigmoid_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardHardSigmoidGradHardSigmoidGradHardSwishhardswish_out != nullptrMakeOpArgContextSplitStringAndPrintOpDfxGuardHardSwishHardSwishHardtanhGradhardtanh_grad.cppgradOutput, self, min, max, outMakeOpArgContextSplitStringAndPrintOpDfxGuardHardtanhGradHistogramAiCoreself, out, bins, min, maxhistogram.cppHistogramAiCPUself, bins, min, max, outHistogrambinsMakeOpArgContextOpDfxGuardHistogramAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardHistogramAiCoreCALCULATEDself, kernelSize, dilation, padding, strideMakeOpArgContextSplitStringAndPrintOpDfxGuardIm2colIndexAiCoreIndexAiCpuself, indexedSizes, indexedStrides, indicesIndexAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardIndexAiCoreIndexFillDAiCoreself, assist1, assist2IndexFillDindex_fill.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardIndexFillDAiCore  IndexPutaccumulateindex_put.cppselfRef, values, masks, indices, accumulate, outMakeOpArgContextSplitStringAndPrintOpDfxGuardIndexPutIndexPutV2index_put_v2.cppselfRef, values, masks, indices, out, accumulateMakeOpArgContextSplitStringAndPrintOpDfxGuardIndexPutV2InplaceIndexAddAiCoreInplaceIndexAddInplaceIndexAddAiCpuinplace_index_add.cppself, dim, index, source, alphaTensorInplaceIndexAddAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardInplaceIndexAddAiCoreInvertInvertAiCpuInvertAiCoreinvert.cppMakeOpArgContextInvertAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardInvertAiCoreIsCloseAiCpurtolatolequal_nanIsCloseAiCoreself, other, rtol, atol, equal_nan, outIsCloseAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardIsCloseAiCoreIsFiniteAiCpuIsFiniteAiCoreMakeOpArgContextIsFiniteAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardIsFiniteAiCoreIsNegInfAiCore[%s:%d][%s][%s][%ld] errno[%d] %s[isneginf] alloc out tensor failed.[isneginf] alloc out tensor failed.MakeOpArgContextOpDfxGuardIsNegInfAiCoreSplitStringAndPrintOpDfxGuardIsNegInfIsNegInfIsPosInfAiCore[%s:%d][%s][%s][%ld] errno[%d] %s[isposinf] alloc out tensor failed.[isposinf] alloc out tensor failed.MakeOpArgContextOpDfxGuardIsPosInfAiCoreSplitStringAndPrintOpDfxGuardIsPosInfIsPosInfnoneKLDivself, target, reduction, logTargetMakeOpArgContextSplitStringAndPrintOpDfxGuardKlDivKlDivKlDivLossGradKlDivLossGradAiCorekl_div_loss_grad.cppgradOutput, self, target, reduction, logTargetMakeOpArgContextSplitStringAndPrintOpDfxGuardKlDivLossGradAiCoreL1LossGradL1LossGradAiCorel1_loss_grad.cppgradOutput, self, target, reduction[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput tensor shape:%s and self tensor shape:%s can't broadcast.GradOutput tensor shape:%s and self tensor shape:%s can't broadcast.[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput tensor shape:%s self tensor shape:%s target tensor shape:%s can't broadcast.GradOutput tensor shape:%s self tensor shape:%s target tensor shape:%s can't broadcast.gradOutput, self, target, reduction, gradInputMakeOpArgContextOpDfxGuardL1LossGradAiCoreSplitStringAndPrintOpDfxGuardL1LossGradL1LossGradinput, weight, bias, beginAxis, eps, implModeinput, weight, bias, beginAxis, epsMakeOpArgContextOpDfxGuardLayerNormWithImplModeMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormLayerNormBetaGammaBackpropV2gradOut, gammaRes, gammaShapelayer_norm_beta_gamma_backprop_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormBetaGammaBackpropV2LayerNormGradV3layer_norm_grad_v3.cppgradOut, input, rstd, mean, weightMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormGradV3LayerNormV3WithImplModeLayerNormV3layer_norm_v3.cppMakeOpArgContextOpDfxGuardLayerNormV3WithImplModeMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormV3LayerNormV4layer_norm_v4.cppinput, normalizedShape, weight, bias, epsMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormV4LayerNormXBackpropV2layer_norm_x_backprop_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormXBackpropV2LayerNormXBackpropV3layer_norm_x_backprop_v3.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLayerNormXBackpropV3LeakyReluAICoreself, negativeSlope, outLeakyReluAICpuLeakyReluAICpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLeakyReluAICoreLeakyReluGradAICoreLeakyReluGradLeakyReluGradAICpuleaky_relu_grad.cppgradOutput, self, negativeSlope, outLeakyReluGradAICpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLeakyReluGradAICoreself, other, weightlerp.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLerpLerpLessAiCoreself, other, ltOutLessLessAiCpuless.cppLessAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLessAiCoreLessLessEqualAiCoreself, other, leOutLessEqualLessEqualAiCpuTfless_equal.cppMakeOpArgContextOpDfxGuardLessEqualAiCpuTfMakeOpArgContextSplitStringAndPrintOpDfxGuardLessEqualAiCoreLessEqualLgammaAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLgammaAiCpuLinSpaceLinspaceAiCpustart, end, steps, outLinspaceAiCoreMakeOpArgContextLinspaceAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLinspaceAiCoreLogAiCoreself, base, scale, shift, outLogAiCpubaseLogAiCpuMakeOpArgContextOpDfxGuardLogAiCoreSplitStringAndPrintOpDfxGuardLogLog Log1pAiCoreself, log1pOutLog1pAiCpuLog1pAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLog1pAiCoreLogMatrixDeterminantsignOut != nullptrlogOut != nullptrLogMatrixDeterminantAiCpuself, signOut, logOutlog_matrix_determinant.cppMakeOpArgContextOpDfxGuardLogMatrixDeterminantAiCpuSplitStringAndPrintOpDfxGuardLogMatrixDeterminantLogMatrixDeterminantLogAddExpAiCoreself, other, base, scale, shiftBroadcastInferShape(selfShape, otherShape, broadcastShape)self, other, base, scale, shift, outMakeOpArgContextOpDfxGuardLogAddExpAiCoreSplitStringAndPrintOpDfxGuardLogAddExpLogAddExpself, other, logical_andOutLogicalAndAiCoreLogicalAndAiCpuOpDfxGuardLogicalAndAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLogicalAndAiCoreLogicalAndLogicalNotAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardLogicalNotAiCoreself, other, logical_orOutLogicalOrAiCoreLogicalOrAiCpuOpDfxGuardLogicalOrAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLogicalOrAiCoreLogicalOrx, LogSigmoidOutLogSigmoidAiCore[%s:%d][%s][%s][%ld] errno[%d] %sLogSigmoid do not have AiCpu kernel.LogSigmoid do not have AiCpu kernel.MakeOpArgContextSplitStringAndPrintOpDfxGuardLogSigmoidAiCoreLogSigmoidgradOuput, self, gradInputLogSigmoidGradLogSigmoidGradAiCorelogsigmoid_grad.cpp[%s:%d][%s][%s][%ld] errno[%d] %sLogSigmoidGrad do not have AiCpu kernel.LogSigmoidGrad do not have AiCpu kernel.MakeOpArgContextSplitStringAndPrintOpDfxGuardLogSigmoidGradAiCoreLogSigmoidGradLogSoftmaxGradgrad_output, output, dimlogsoftmax_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLogSoftmaxGradx, dimList, logSoftmaxOutLogSoftmaxV2LogSoftmaxAiCpuLogSoftmaxAiCorelogsoftmax_v2.cppLogSoftmaxAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLogSoftmaxAiCoreLpLossself, target, p, reductionLpLossAiCorelp_loss.cpp[%s:%d][%s][%s][%ld] errno[%d] %sSelf tensor shape:%s and target tensor shape:%s can't broadcast.Self tensor shape:%s and target tensor shape:%s can't broadcast.self, target, p, reduction, outMakeOpArgContextOpDfxGuardLpLossAiCoreSplitStringAndPrintOpDfxGuardLpLossLpLossLpNormReduceself, p, dim, keepdim, epsLpNormReduceAiCoreLpNormReduceAiCpulp_norm_reduce.cppLpNormReduceAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLpNormReduceAiCoreMakeOpArgContextLpNormReduceV2x, p, dims, keepDim, epsilonlp_norm_reduce_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLpNormReduceV2LpNormUpdateself, p, eps, relTypeLpNormUpdateAiCpuLpNormUpdateAiCorelp_norm_update.cpp[%s:%d][%s][%s][%ld] errno[%d] %sLpNormUpdate selftype [%s] && current shape [%s].LpNormUpdate selftype [%s] && current shape [%s].self, p, eps, relType, updateOutOpDfxGuardLpNormUpdateAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardLpNormUpdateAiCoreLpNormUpdateLpNormUpdateV2x, p, epsilonlp_norm_update_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLpNormUpdateV2LpNormV2lp_norm_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardLpNormV2MaskedFillself, mask, valueself, mask, value, outputMaskedFillAiCpuMaskedFillAiCoremasked_fill.cppMaskedFillAiCpuMakeOpArgContextOpDfxGuardMaskedFillAiCoreSplitStringAndPrintOpDfxGuardMaskedFillself, mask, sourceself, mask, source, outputMaskedScatterAiCpuMaskedScatterAiCoreself, mask, source, maskedScatterOutMaskedScatterAiCpuMakeOpArgContextOpDfxGuardMaskedScatterAiCoreSplitStringAndPrintOpDfxGuardMaskedScatterself, mask, outMakeOpArgContextSplitStringAndPrintOpDfxGuardMaskedSelectMaskedSelectMatMulCommonMatMulNzNzNdMatMulNdNzMatMulNzMatMulV3Commonx1, x2, transposeX1, transposeX2, offsetXMatMulV3NdMatMulNdNzMatMulNzFp162Fp32MatMulNzNzNdMatMulNzMatMulNdFp162Fp32OpDfxGuardMatMulNdMakeOpArgContextMatMulCommonMatMulCommonMakeOpArgContextSplitStringAndPrintOpDfxGuardMatMulV3CommonMatMulV3CommonMatMulCompressDequantMatMulV2CompressDequantmatmul_compress_dequant.cppx1, x2, compressIndex, deqScale, bias, offsetW, transposeX1, transposeX2, compressInfo, offsetX, algStrMakeOpArgContextSplitStringAndPrintOpDfxGuardMatMulCompressDequantMatMulCompressDequantAlloc out tensor failed.MatrixInverseadjointMatrixInverseAicpumatrix_inverse.cpp[%s:%d][%s][%s][%ld] errno[%d] %sAlloc out tensor failed.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s should be in dtype support list %s.Self dtype %s should be in dtype support list %s.MakeOpArgContextSplitStringAndPrintOpDfxGuardMatrixInverseAicpuMatrixInverse max_pool_grad_with_argmax_v1.cppMaxPoolGradWithArgmaxV1AiCoreMaxPoolGradWithArgmaxV1gradOutput, self, indices, kernelSize, stride, padding, dilation, ceilMode, gradInput[%s:%d][%s][%s][%ld] errno[%d] %sself dtype not supported. support list is %sself dtype not supported. support list is %sMakeOpArgContextSplitStringAndPrintOpDfxGuardMaxPoolGradWithArgmaxV1AiCoreIsAiCoreSupportMakeOpArgContextMaxPoolGradWithArgmaxV1MaxPoolV3MaxPoolV3AiCoremax_pool_v3.cppself, kernelShape4, strides4, padsMode, pads4, dataFormat, globalPooling, ceilModeBool, maxpoolv3Out[%s:%d][%s][%s][%ld] errno[%d] %sNo dtype not supported on AICPUNo dtype not supported on AICPUSplitStringAndPrintOpDfxGuardMaxPoolV3AiCoreIsAiCoreSupportMakeOpArgContextMaxPoolV3MaxPoolWithArgmaxV1MaxPoolWithArgmaxV1AiCoremax_pool_with_argmax_v1.cppself, kernelSize4, stride4, padding4, dilation4, ceilMode, out, indices[%s:%d][%s][%s][%ld] errno[%d] %sno dtype not supported on ai cpuno dtype not supported on ai cpuMakeOpArgContextSplitStringAndPrintOpDfxGuardMaxPoolWithArgmaxV1AiCoreIsAiCoreSupportMakeOpArgContextMaxPoolWithArgmaxV1self, other, maximumOutMaximumAiCoreMaximumAiCpuMakeOpArgContextOpDfxGuardMaximumAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardMaximumAiCoreMaximum_Cself, other, minimumOutMinimumAiCoreMinimumAiCpuMakeOpArgContextOpDfxGuardMinimumAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardMinimumAiCoreMinimumMirrorPadMirrorPad InferShape failed.MirrorPadAiCoreself, paddings, mode, outMirrorPadAiCpuTpaddingsmirrorpad.cpp[%s:%d][%s][%s][%ld] errno[%d] %sMirrorPad InferShape failed.MakeOpArgContextMirrorPadAiCpuSplitStringAndPrintOpDfxGuardMirrorPadAiCoreMakeOpArgContextMirrorPad  MishAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardMishAiCoreMishGradmish_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardMishGradMishGradModAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardModAiCoreModself, targetMakeOpArgContextSplitStringAndPrintOpDfxGuardMseLossMseLossMseLossGradmse_loss_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardMseLossGradMseLossGradMulAiCoreself, other, mulOutMulAiCpu[%s:%d][%s][%s][%ld] errno[%d] %sthe size of tensor %s %s must match the size of tensor %s %s.the size of tensor %s %s must match the size of tensor %s %s.MakeOpArgContextOpDfxGuardMulAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardMulAiCoreMul   muls.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardMulsmulti_scale_deformable_attention_grad.cppMultiScaleDeformableAttentionGradvalue, spatialShape, levelStartIndex, location, attnWeight, gradOutputMakeOpArgContextSplitStringAndPrintOpDfxGuardMultiScaleDeformableAttentionGradself, target, reductionisTarget != nullptrmultilabel_margin_loss.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardMultilabelMarginLossMultilabelMarginLossMultinomialWithReplacementnumsamplesreplacementmultinomial_with_replacement.cppMultinomialWithReplacementAiCpuself, seed, offset, numsamples, replacement, outMakeOpArgContextSplitStringAndPrintOpDfxGuardMultinomialWithReplacementAiCpuNanToNumAiCoreself, nan, posinf, neginf, outMakeOpArgContextSplitStringAndPrintOpDfxGuardNanToNumAiCoreNanToNumNegAiCpuself, negOutNegAiCoreNegAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardNegAiCoreNLLLossAiCoreNLLLossAiCpuignore_indexx, target, weight, out, targetWeightOutNLLLossAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardNLLLossAiCoreMakeOpArgContextNLLLossNLLLossGradAiCpuNLLLossGradNLLLossGradAiCorenll_loss_grad.cppgradOutput, self, target, weight, reduction, ignoreIndex, totalWeightNLLLossGradAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardNLLLossGradAiCoreNonMaxSuppressionV6alloc out tensor failednon_max_suppression_v6.cppboxes, scores, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox, maxBoxesSize[%s:%d][%s][%s][%ld] errno[%d] %salloc out tensor failedMakeOpArgContextSplitStringAndPrintOpDfxGuardNonMaxSuppressionV6NonMaxSuppressionV6NonzeroAiCoreself, out, transposeNonZeroNonzeroAiCpuMakeOpArgContextNonzeroAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardNonzeroAiCoreNotEqualAiCoreself, other, neOutNotEqualNotEqualAiCpuNotEqualAiCpuTfnot_equal.cppNotEqualAiCpuMakeOpArgContextOpDfxGuardNotEqualAiCpuTfMakeOpArgContextSplitStringAndPrintOpDfxGuardNotEqualAiCoreNotEqual  OneHot InferShape failed.self, depth, onValue, offValue, axis[%s:%d][%s][%s][%ld] errno[%d] %sOneHot InferShape failed.[%s:%d][%s][%s][%ld] errno[%d] %sself dtype %s should be in dtype support list [%s].self dtype %s should be in dtype support list [%s].MakeOpArgContextSplitStringAndPrintOpDfxGuardOneHotOneHot OnesLikeAiCoreOnesLikeOnesLikeAiCPUones_like.cppOnesLikeAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardOnesLikeAiCoreOnesLike PackAiCoreinputs, dim, out, out_dtypePackPackAiCpupack.cpp[%s:%d][%s][%s][%ld] errno[%d] %sinference shape for pack failed.inference shape for pack failed.MakeOpArgContextPackAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardPackAiCorePack   self, paddings, out[%s:%d][%s][%s][%ld] errno[%d] %sPad InferShape failed.PadAiCpuSplitStringAndPrintOpDfxGuardPadAiCoreMakeOpArgContextPadPadV3PadV3 InferShape failed.PadV3AiCorePadV3AiCpupaddingsContiguouspadv3.cpp[%s:%d][%s][%s][%ld] errno[%d] %sPadV3 InferShape failed.self, paddings, constant_values, mode, paddingsContiguous, outPadV3AiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardPadV3AiCoreMakeOpArgContextPadV3PadV3GradPadV3GradAiCorePadV3GradAiCpupadv3grad.cppgradOutput, paddings, mode, paddingsContiguous, padV3GradOutPadV3GradAiCpuSplitStringAndPrintOpDfxGuardPadV3GradAiCoreMakeOpArgContextself, ppdistOut != nullptrMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardPdistPdistPooling5Hddata type not supports.Poolingpooling.cppx, weight, mode, globalPooling, window, stride, pad, ceilMode, dataFormat[%s:%d][%s][%s][%ld] errno[%d] %sdata type not supports.MakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardPooling5HdPooling5HdpowOut != nullptrPowAiCoreself, exponent, powOutPowPowAiCpuPowAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardPowAiCorePowpowsOut != nullptrPowsAiCoreself, exponent, powsOutPowspows.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardPowsAiCorePowsPReluPReluAiCoreself, weight, preluOutPReluAiCpuPReluAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardPReluAiCoreMakeOpArgContextPReluPReluGradReducegradWeight != nullptrprelu_grad_reduce.cppgradOutput, self, weight, updateMakeOpArgContextSplitStringAndPrintOpDfxGuardPReluGradReducePReluGradReducePReluGradUpdategradOutput, self, weightprelu_grad_update.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardPReluGradUpdatePromptFlashAttentionprompt_flash_attention.cppquery, key, value, pseShift, attenMask, actualSeqLengths, actualSeqLengthsKv, deqScale1, quantScale1, deqScale2, quantScale2, quantOffset2, numHeads, scaleValue, preTokens, nextTokens, inputLayout, numKeyValueHeads, sparseMode, innerPrecise[%s:%d][%s][%s][%ld] errno[%d] %sPromptFlashAttention InferShape failed.PromptFlashAttention InferShape failed.[%s:%d][%s][%s][%ld] errno[%d] %sPromptFlashAttention LaunchAicore failed.PromptFlashAttention LaunchAicore failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardPromptFlashAttentionPromptFlashAttentionQrAiCPUself, some, Q, Rfull_matricesMakeOpArgContextSplitStringAndPrintOpDfxGuardQrAiCPUquantBatchmatmul.cppx1, x2, deqScale, bias, adjX1, adjX2MakeOpArgContextSplitStringAndPrintOpDfxGuardQuantBatchMatmulQuantBatchMatmulQuantBatchMatmulV3x1, x2, scale, offset, bias, pertokenScale, transposeX1, transposeX2[%s:%d][%s][%s][%ld] errno[%d] %sQuantBatchMatmulV3 Infershape failed.QuantBatchMatmulV3 Infershape failed.[%s:%d][%s][%s][%ld] errno[%d] %sQuantBatchMatmulV3 ADD_TO_LAUNCHER_LIST_AICORE failed.QuantBatchMatmulV3 ADD_TO_LAUNCHER_LIST_AICORE failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardQuantBatchMatmulV3QuantBatchMatmulV3QuantUpdateScatterquant_update_scatter.cppselfRef, indices, updates, quantScales, quantZeroPoints, reduce, axis, quantAxis, reciprocalScaleMakeOpArgContextSplitStringAndPrintOpDfxGuardQuantUpdateScatterRealAiCoreself, out, dstDtypeRealAiCpuMakeOpArgContextRealAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRealAiCore!RealDivRealDivAiCoreRealDivAiCpurealdiv.cppOpDfxGuardRealDivAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRealDivAiCoreRealDivReciprocalAiCoreReciprocalAiCpuReciprocalAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReciprocalAiCoreReduceAllreduce_all.cppMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceAllReduceAnyreduce_any.cppMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceAnyReduceAnyReduceLogSumExpReduceLogSumExpAiCorereduce_logsumexp.cppself, dim, keepDim, logSumExpOutMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceLogSumExpAiCoreMakeOpArgContextReduceMaxReduceMax infer shape faild.ReduceMaxAiCoreReduceMaxAiCpukeep_dimsreduce_max.cpp[%s:%d][%s][%s][%ld] errno[%d] %sReduceMax infer shape faild.self, dimList, keepDim, maxOutMakeOpArgContextReduceMaxAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceMaxAiCoreMakeOpArgContextReduceMax reduce_mean.cppdim value[%ld] repeatReduceMeanAiCpunoop_with_empty_axesReduceMeanReduceMeanAiCore[%s:%d][%s][%s][%ld] errno[%d] %sdim value[%ld] repeatself, dim, keepDim, noopWithEmptyAxes, meanOut[%s:%d][%s][%s][%ld] errno[%d] %sReduce %s shape failed. Reduceshape dimnum is %zu Reduce %s shape failed. Reduceshape dimnum is %zu ReduceMeanMakeOpArgContextReduceMeanAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceMeanAiCoreReduceMeanReduceMeanInferShapeReduceMeanWithCountreduce_mean_with_count.cppinput, count, countSum, axes, keepDims[%s:%d][%s][%s][%ld] errno[%d] %sReduceMeanWithCount infer shape failed.ReduceMeanWithCount infer shape failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardReduceMeanWithCountReduceMeanWithCountReduceMinReduceMin infer shape faild.ReduceMinAiCoreReduceMinAiCpureduce_min.cpp[%s:%d][%s][%s][%ld] errno[%d] %sReduceMin infer shape faild.self, dimList, keepDim, minOutMakeOpArgContextReduceMinAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceMinAiCoreMakeOpArgContextReduceMin self, dim, keepDim, outReduceNansumOpAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceNansumOpAiCoreMakeOpArgContextReduceProdReduceProdAICpuself, axes, keepDims, outReduceProdAICorereduce_prod.cppMakeOpArgContextReduceProdAICpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceProdAICoreMakeOpArgContextReduceStdV2UpdateCorrectionstdWithV2UpdateOut != nullptrReduceStdV2Updatereduce_std_v2_update.cppself, mean, dim, correction, keepdimself, mean, dim, unbiased, keepdimMakeOpArgContextOpDfxGuardReduceStdV2UpdateCorrectionReduceStdV2UpdateCorrectionMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceStdV2UpdateReduceStdV2UpdateReduceStdWithMeanstdWithMeanOut != nullptrreduce_std_with_mean.cppself, mean, dim, correction, keepdim, invert, epsMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceStdWithMeanReduceStdWithMeanReduceSumOpAiCorex, axes, keepDim, outReduceSumOpAiCpureduce_sum_op.cppMakeOpArgContextReduceSumOpAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardReduceSumOpAiCoreMakeOpArgContext  reluOut != nullptrMakeOpArgContextSplitStringAndPrintOpDfxGuardReluReluMakeOpArgContextSplitStringAndPrintOpDfxGuardReluGradRenormAiCoreself, normType, dim, maxNorm, outMakeOpArgContextSplitStringAndPrintOpDfxGuardRenormAiCorex, repeats, axis, outputSizeMakeOpArgContextSplitStringAndPrintOpDfxGuardRepeatInterleavereshape.cppInvalid reshape params.Reshapex, shape[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor should be contiguous. %sInput tensor should be contiguous. %s[%s:%d][%s][%s][%ld] errno[%d] %sCan not reshape to empty tensor.Can not reshape to empty tensor.[%s:%d][%s][%s][%ld] errno[%d] %sInvalid reshape params.[%s:%d][%s][%s][%ld] errno[%d] %sOnly one dim may be -1, not both dim[%ld] and dim[%ld].Only one dim may be -1, not both dim[%ld] and dim[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sInput shape [%s] cannot be reshape to [%s].Input shape [%s] cannot be reshape to [%s].[%s:%d][%s][%s][%ld] errno[%d] %sInput shape [%s] cannot be reshape to [%s]. ShapeSize mismatch.Input shape [%s] cannot be reshape to [%s]. ShapeSize mismatch.SplitStringAndPrintOpDfxGuardReshapeReshapeValidateResizeBilinearV2AICPUx, size, align_corners, yResizeBilinearV2half_pixel_centersResizeBilinearV2AICOREresize_bilinear_v2.cppMakeOpArgContextOpDfxGuardResizeBilinearV2AICPUMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeBilinearV2AICOREResizeBilinearV2Grad5HdAICOREResizeBilinearV2Gradresize_bilinear_v2_grad.cppgradOut, image, alignCorners, halfPixelCenters, outMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeBilinearV2Grad5HdAICOREResizeBilinearV2Grad5HdResizeDroiArray != nullptrhalf_pixelround_prefer_floorHWNCresize_d.cppx, size, alignCorners, scales, modeMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeDResizeDResizeGradgradOutput, scales, sizescubic_coeff_anearest_moderesize_grad.cppcoordinate_transformation_modeMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeGradResizeGradResizeGradDresize_grad_d.cppgrads, inputSize, scales, alignCorners, modeMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeGradDResizeGradDResizeNearestNeighborV2AICOREx, size, yResizeNearestNeighborV2ResizeNearestNeighborV2AICPUResizeNearestNeighborresize_nearest_neighbor_v2.cppResizeNearestNeighborV2AICPUMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeNearestNeighborV2AICOREinputSizeTensor != nullptrResizeNearestNeighborV2Gradresize_nearest_neighbor_v2_grad.cppResizeNearestNeighborV2GradAICOREgrads, inputSize, alignCorners, halfPixelCenters, outMakeOpArgContextSplitStringAndPrintOpDfxGuardResizeNearestNeighborV2GradAICOREResizeNearestNeighborV2Grad5HdReverseV2AicpuReverseV2ReverseV2Aicorereverse_v2.cppMakeOpArgContextReverseV2AicoreMakeOpArgContextSplitStringAndPrintOpDfxGuardReverseV2AicpuRfft1DAiCoreself, dft, n, norm, outRfft1DAiCpuMakeOpArgContextRfft1DAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRfft1DAiCoreRfft1DROIAlignself, rois, batchIndices, spatialScale, outputHeight, outputWidth, samplingRatio, modeMakeOpArgContextSplitStringAndPrintOpDfxGuardROIAlignROIAlignRollAiCorex, shifts, dimsRollAiCpuTshiftTaxisMakeOpArgContextRollAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRollAiCoreRoundAiCoreRoundAiCpuRoundDecimalsAiCoreself, decimals, outputRoundDecimalsAiCpudecimalsRoundDecimalsAiCpuMakeOpArgContextOpDfxGuardRoundDecimalsAiCoreRoundAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRoundAiCoreRsqrtAiCoreself, rsqrtOutRsqrtAiCpuRsqrtAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardRsqrtAiCoredata, indices, updates, reduce, axisMakeOpArgContextSplitStringAndPrintOpDfxGuardScatterAiCoreScatterAddAiCPUself, dim, index, srcScatterAddWithAxisMakeOpArgContextSplitStringAndPrintOpDfxGuardScatterAddAiCPUScatterElementsaddScatterElementsV2scatter_elements.cppdata, indices, updates, axis, reduction[%s:%d][%s][%s][%ld] errno[%d] %sTensor data dimension size must be in range [0, 8]. Current size is %ld.Tensor data dimension size must be in range [0, 8]. Current size is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sreduction must be one of [none, add, mul]reduction must be one of [none, add, mul][%s:%d][%s][%s][%ld] %sScatterElements only support AiCpu for ASCEND310P[%s:%d][%s][%s][%ld] %sdataShape[axis](%d) > maxDataShapeInDim(%d)[%s:%d][%s][%s][%ld] %sdataShape[axis](%d) < block(%d)[%s:%d][%s][%s][%ld] %sactualDataInUb(%d) > ubForData(%d) in hostapi ScatterElements.[%s:%d][%s][%s][%ld] %sScatterElements aicore is better[%s:%d][%s][%s][%ld] %sUse AICORE for ScatterElements.[%s:%d][%s][%s][%ld] %sUse AICORE for ScatterElementsV2.[%s:%d][%s][%s][%ld] %sUse AICPU for ScatterElements.MakeOpArgContextIsAicoreBetterUseAiCoreSplitStringAndPrintOpDfxGuardScatterElementsScatterElements  ScatterNdAdduse_lockingScatterNdAddAiCoreScatterNdAddAiCPUscatter_nd_add.cppself, indices, updates, out, use_lockingScatterNdAddAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardScatterNdAddAiCoreScatterNdUpdateAiCPUScatterNdUpdateAiCoreMakeOpArgContextScatterNdUpdateAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardScatterNdUpdateAiCore   ScatterUpdateAiCoreScatterUpdateAiCPUself, indices, updates, useLockingMakeOpArgContextScatterUpdateAiCPUMakeOpArgContextSplitStringAndPrintOpDfxGuardScatterUpdateAiCore rightsortedSequence, self, dtype, right, sorterMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardSearchSortedSearchSortedselectOut != nullptrSelectV2SelectV2AiCorecondition, self, otherSelectV2AiCpu[%s:%d][%s][%s][%ld] errno[%d] %sbroadcast condition: %s, self: %s, other: %s failed.broadcast condition: %s, self: %s, other: %s failed.SelectV2AiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSelectV2AiCoreSelectV2SeluAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardSeluAiCoreSeluGradAiCoregradOutput, reslut, gradInputSeluGradselugrad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardSeluGradAiCoreshape_op.cppShape_opSplitStringAndPrintOpDfxGuardShape_opself, sigmoidOutSigmoidAiCpuSigmoidAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSigmoidAiCorecomplex_conjSigmoidGradAiCpuoutput, gradOutput, sigmoidGradInputMakeOpArgContextSigmoidGradAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSigmoidGradAiCoreSignAiCoreself, resultSignAiCpuSignAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSignAiCoreSiluAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardSiluAiCoreSiluGradAiCoregradOutput, self, gradInputSiluGradsilu_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardSiluGradAiCoreSinAiCoreself, sinOutSinAiCpuSinAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSinAiCoreSinhAiCoreself, sinhOutSinhAiCpuSinhAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSinhAiCoreSinhx, y, offset, sizeMakeOpArgContextMakeOpArgContextSliceAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSliceAiCore  SmoothL1LossV2self, target, reduction, beta, reduction[%s:%d][%s][%s][%ld] errno[%d] %sSmoothL1LossV2 InferShape failed.SmoothL1LossV2 InferShape failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardSmoothL1LossSmoothL1LossSmoothL1LossGradV2smooth_l1_loss_grad_v2.cppself, target, gradOut, reduction, beta, gradInputMakeOpArgContextSplitStringAndPrintOpDfxGuardSmoothL1LossGradV2MakeOpArgContextSplitStringAndPrintOpDfxGuardSoftMarginLossSoftMarginLossSoftMarginLossGradsoft_margin_loss_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftMarginLossGradSoftMarginLossGradgradOutput, output, dimMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftmaxGradsoftmax_v2_op.cppMakeOpArgContextSoftmaxAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftmaxAiCoresoftplusOut != nullptrSoftplusV2self, beta, threshold, softplusOutMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftplusV2SoftplusV2SoftplusV2Gradgrad_input != nullptrsoftplus_v2_grad.cppgrad_output, self, beta, thresholdMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftplusV2GradSoftplusV2GradSoftShrinkSoftShrinkAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftShrinkAiCoregradInput != nullptrSoftShrinkGradsoftshrink_grad.cppgradOutput, self, lambda, gradInputMakeOpArgContextSplitStringAndPrintOpDfxGuardSoftShrinkGradSoftShrinkGradSortAiCoreSortAiCpudescendingstableself, stable, dim, descending, values, indices[%s:%d][%s][%s][%ld] errno[%d] %sdim must equal to the (number of dimensions - 1 ) or -1.dim must equal to the (number of dimensions - 1 ) or -1.[%s:%d][%s][%s][%ld] errno[%d] %sdim must be in range [-N, N-1]. Current dim is %ld.dim must be in range [-N, N-1]. Current dim is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sTensor self dimension size must be in range [0, 8]. Current size is [%ld].Tensor self dimension size must be in range [0, 8]. Current size is [%ld].SortSortAiCpuSortAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSortAiCoreSortAiCoreSplitVself, splitSize, dimSplitVAiCoreSplitVAiCpunum_splitsplit_v.cppself, splitTensor, dimTensor, numSplit, splitVOutSplitVAiCpuMakeOpArgContextOpDfxGuardSplitVAiCoreSplitStringAndPrintOpDfxGuardSplitV   SqrtAiCpuSqrtAiCoresqrt_out != nullptrSqrtSqrtAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardSqrtAiCpuSquareAiCpuself, squareOutSquareSquareAiCoresquareOut != nullptrsquare.cppSquareOpDfxGuardSquareAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardSquareAiCpuSqueezeNdx, dim[%s:%d][%s][%s][%ld] errno[%d] %sInvalid dim value for squeeze operation. shape: %s, dims: %sInvalid dim value for squeeze operation. shape: %s, dims: %s[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor must be contiguous.Input tensor must be contiguous.[%s:%d][%s][%s][%ld] errno[%d] %sInferShape failed for squeeze operation.InferShape failed for squeeze operation.SplitStringAndPrintOpDfxGuardSqueezeNdSqueezeNdSqueezeNdInferShapeStatelessBernoulliAiCpuinputSize, prob, seed, offsetStatelessBernoullistatelessBernoulli.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardStatelessBernoulliAiCpuStatelessDropoutGenMaskAiCpuStatelessDropOutGenMaskstateless_dropout_gen_mask.cppshape, prob, seed, seed1, offset, outMakeOpArgContextSplitStringAndPrintOpDfxGuardStatelessDropoutGenMaskAiCpuStatelessRandomNormalV2AiCpuStatelessRandomNormalV2Tshapestateless_random_normal_v2.cppshapeTensor, keyTensor, counterTensor, algTensor, outTensorMakeOpArgContextSplitStringAndPrintOpDfxGuardStatelessRandomNormalV2AiCpuStatelessRandomUniformV2AiCpuinputSize, seed, offset, algStatelessRandomUniformV2stateless_random_uniform_v2.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardStatelessRandomUniformV2AiCpuStatelessRandpermAiCpuStatelessRandpermstateless_randperm.cppn, seed, offset, layout, dstDtype, outMakeOpArgContextSplitStringAndPrintOpDfxGuardStatelessRandpermAiCpuStftAiCorehop_lengthwin_lengthnormalizedonesidedreturn_complexn_fftSTFTStftAiCpuself, plan, window, nFft, hopLength, winLength, normalized, onesided, returnComplex, outself, window, nFft, hopLength, winLength, normalized, onesided, returnComplex, outMakeOpArgContextOpDfxGuardStftAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardStftAiCoreStftStridedSliceAiCorex, y, begin, end, stridesStridedSliceStridedSliceAiCpubegin_maskend_maskellipsis_masknew_axis_maskshrink_axis_maskstrided_slice.cppMakeOpArgContextMakeOpArgContextStridedSliceAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardStridedSliceAiCore   !   !StridedSliceV3AiCoreStridedSliceV3strided_slice_v3.cppself, begin, end, axis, strideds, outMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardStridedSliceV3AiCoreSubAiCoreself, other, subOutSubAiCpuOpDfxGuardSubAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardSubAiCoreSub    sync_batch_norm_gather_stats_with_counts.cppSyncBatchNormGatherStatsWithCountsmeanAll, invstdAll, countAll, meanBroadcast, countSum, runningVar, momentum, epsilonMakeOpArgContextSplitStringAndPrintOpDfxGuardSyncBatchNormGatherStatsWithCountsSyncBNTrainingUpdatesync_bn_training_update.cppmeanAll, runningMean, momentumMakeOpArgContextSplitStringAndPrintOpDfxGuardSyncBNTrainingUpdateTanAiCoreTanAiCpuTanAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTanAiCoretanhOut != nullptrMakeOpArgContextSplitStringAndPrintOpDfxGuardTanhTanhgradOutputTanhGradAICoreoutput, gradOutput, gradInputTanhGradTanhGradAICpuTanhGradAICpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTanhGradAICoreTanhGradTensorEqualAiCoreTensorEqualTensorEqualAiCputensor_equal.cppOpDfxGuardTensorEqualAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTensorEqualAiCoreTensorMoveAiCoreTensorMoveTensorMoveAiCpuIdentitytensor_move.cppMakeOpArgContextTensorMoveAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTensorMoveAiCore   grad_y != nullptrthree_interpolate_backward.cppThreeInterpolateBackwardAicoregrad_x, idx, weight, m, grad_yThreeInterpolateBackwardMakeOpArgContextSplitStringAndPrintOpDfxGuardThreeInterpolateBackwardAicoreself, threshold, valuethresholdTensor != nullptrvalueTensor != nullptrThresholdV2MakeOpArgContextSplitStringAndPrintOpDfxGuardThresholdThresholdThresholdGradV2DgradOutput, self, thresholdthreshold_grad.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardThresholdGradV2DTileTmultiplesTileAiCpuself, repeats, outTileAiCoretile.cpp[%s:%d][%s][%s][%ld] errno[%d] %srepeats size should not be smaller than input tensor dimrepeats size should not be smaller than input tensor dimMakeOpArgContextTileAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTileAiCoreTileTopkV2TopKV2TopkV3TopKV3TopkAiCpuTopKsortedlargestself, k, dim, largest, sorted, values, indicesMakeOpArgContextTopkAiCpuTopkV3MakeOpArgContextSplitStringAndPrintOpDfxGuardTopkV2TraceAiCpuTraceAiCoreTraceTraceTraceAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardTraceAiCputransdata.cppTransDatax, dstPrimaryFormat, groupsTransDataToFzWithoutGroupx, srcPrimaryFormatfzTensor != nullptrTransDataFzToDstTransDataSpecial[%s:%d][%s][%s][%ld] errno[%d] %sinput tensor shape's rank does not match format, format is: %s, shape is: %s.input tensor shape's rank does not match format, format is: %s, shape is: %s.[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor format not match it's shape, format is: %s, shape is: %s.Input tensor format not match it's shape, format is: %s, shape is: %s.CheckFormatShapeMatch(storageShape, srcPrimaryFormat)CheckFormatShapeMatch(oriShape, oriPrimaryFormat)[%s:%d][%s][%s][%ld] errno[%d] %sTransData not support: %s -> %sTransData not support: %s -> %sCheckPrimaryFormatValid(srcPrimaryFormat, dstPrimaryFormat)CheckSrcTensorValid(x, srcPrimaryFormat)CheckTransDataSupport(srcPrimaryFormat, dstPrimaryFormat)[%s:%d][%s][%s][%ld] %sTransData out mergedFormat: %s[%s:%d][%s][%s][%ld] %sTransDataSpecial out mergedFormat: %sTransDataSpecialTransDataSpecialMakeOpArgContextMakeOpArgContextTransDataFzToDstTransDataFzToDstMakeOpArgContextOpDfxGuardTransDataToFzWithoutGroupTransDataToFzWithoutGroupTransDataFzWithGroupCheckTransDataSupportCheckFormatShapeMatchCheckSrcTensorValidCheckPrimaryFormatValidCheckTransDataParamsSplitStringAndPrintOpDfxGuardTransDataTransDataReFormat  TransposeAiCpux, y, permTpermTransposeAiCoretranspose.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor should be contiguous.Input tensor should be contiguous.MakeOpArgContextTransposeMakeOpArgContextTransposeAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardTransposeAiCore  TriangularSolveAiCPUself, A, upper, transpose, XMatrixTriangularSolvelowerMakeOpArgContextSplitStringAndPrintOpDfxGuardTriangularSolveAiCPUself, diagonalMakeOpArgContextSplitStringAndPrintOpDfxGuardTrilMakeOpArgContextSplitStringAndPrintOpDfxGuardTriuMakeOpArgContextSplitStringAndPrintOpDfxGuardTruncreturn_idxreturn_countsself, returnInverse, returnCounts, dim, valueOut, inverseOut, countsOutMakeOpArgContextMakeOpArgContextSplitStringAndPrintOpDfxGuardUniqueConsecutiveUniqueWithCountsAndSortingreturn_inverseunique_with_counts_and_sorting.cppself, sorted, returnInverse, returnCounts, valueOut, inverseOut, countsOutself, sorted, returnInverse, valueOut, inverseOutMakeOpArgContextOpDfxGuardUniqueWithCountsAndSortingMakeOpArgContextSplitStringAndPrintOpDfxGuardUniqueWithCountsAndSortingUniqueWithCountsExt2unique_with_counts_ext2.cppself, sorted, returnInverse, dim, valueOut, inverseOut, countsOutMakeOpArgContextSplitStringAndPrintOpDfxGuardUniqueWithCountsExt2unsqueeze.cppUnsqueezeNd[%s:%d][%s][%s][%ld] errno[%d] %sDimension is out of range. shape: %s, dim: %ldDimension is out of range. shape: %s, dim: %ld[%s:%d][%s][%s][%ld] errno[%d] %sDims should not contain duplicate values. shape: %s, dims: %sDims should not contain duplicate values. shape: %s, dims: %sSplitStringAndPrintOpDfxGuardUnsqueezeNdUnsqueezeNdUnsqueezeNdInferShapeUpsampleNearest3dAiCpuself, outputSize, scales, outscalesMakeOpArgContextSplitStringAndPrintOpDfxGuardUpsampleNearest3dAiCpuUpsampleNearest3dNcdhwUpsampleNearest3dGradAiCpuUpsampleNearest3dGradinput_sizeupsample_nearest_3d_grad.cppgradOut, outputSize, inputSize, scales, gradInputMakeOpArgContextSplitStringAndPrintOpDfxGuardUpsampleNearest3dGradAiCpuUpsampleNearest3dGradNcdhwUpsampleTrilinear3dNcdhwupsample_trilinear_3d.cppself, outputSize, alignCorners, scalesMakeOpArgContextSplitStringAndPrintOpDfxGuardUpsampleTrilinear3dNcdhwUpsampleTrilinear3dNcdhwUpsampleTrilinear3dGradNcdhwUpsampleTrilinear3dGradupsample_trilinear_3d_grad.cppgradOut, outputSize, inputSize, alignCorners, scalesMakeOpArgContextSplitStringAndPrintOpDfxGuardUpsampleTrilinear3dGradNcdhwUpsampleTrilinear3dGradNcdhwViewCopyAiCpuViewCopyAiCoresrcSize == dstSizeview_copy.cppy, dstSize, dstStride, dstOffset, x, srcSize, srcStride, srcOffset[%s:%d][%s][%s][%ld] errno[%d] %sViewCopy on aicpu do not support dtype: %s.ViewCopy on aicpu do not support dtype: %s.IsAiCoreSupportViewCopyViewCopyMakeOpArgContextViewCopyAiCoreMakeOpArgContextSplitStringAndPrintOpDfxGuardViewCopyAiCpu       WeightQuantBatchmatmulweightQuantBatchmatmul.cppx1, x2, bias, diagonalMatrix, deqOffset, deqScale, adjX1, adjX2MakeOpArgContextSplitStringAndPrintOpDfxGuardWeightQuantBatchmatmulWeightQuantBatchmatmulweight_quant_batch_matmul_v2.cppx, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, transposeX, transposeWeight, antiquantGroupSize[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantBatchMatmulV2 Infershape failed.WeightQuantBatchMatmulV2 Infershape failed.[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantBatchMatmulV2 ADD_TO_LAUNCHER_LIST_AICORE failed.WeightQuantBatchMatmulV2 ADD_TO_LAUNCHER_LIST_AICORE failed.MakeOpArgContextSplitStringAndPrintOpDfxGuardWeightQuantBatchMatmulV2WeightQuantBatchMatmulV2XLogYXlogyx_log_y.cppMakeOpArgContextSplitStringAndPrintOpDfxGuardXLogYXLogYZerosLikeAiCoreZerosLikeZerosLikeAiCpuzero_op.cppZerosLikeAiCpuMakeOpArgContextSplitStringAndPrintOpDfxGuardZerosLikeAiCore    vector::reserveaclRfft1Dacl_rfft1d.cpp161001CheckNotNull(self, out)CheckDtypeValid(self)deviceTensor != nullptrDFX_IN(self, n, norm)DFX_OUT(out)ret == ACLNN_SUCCESSTry alloc padVec failedselfContiguous != nullptrrfft1dResult != nullptrviewCopyResult != nullptrconstant[%s:%d][%s][%s][%ld] errno[%d] %sWhen %s do success, ReleaseTo(executor) should be called before return.[%s:%d][%s][%s][%ld] errno[%d] %sexpected a proper Tensor but got null for argument %s.expected a proper Tensor but got null for argument %s.[%s:%d][%s][%s][%ld] errno[%d] %s%s not implemented for %s, should be in dtype support list %s.%s not implemented for %s, should be in dtype support list %s.[%s:%d][%s][%s][%ld] errno[%d] %s'n' should be in [1, 262144] or -1'n' should be in [1, 262144] or -1[%s:%d][%s][%s][%ld] errno[%d] %s'norm' should be equal {BACKWARD, FORWARD, ORTHO} via pytorch call or {1, 2, 3} in other cases'norm' should be equal {BACKWARD, FORWARD, ORTHO} via pytorch call or {1, 2, 3} in other cases[%s:%d][%s][%s][%ld] errno[%d] %s'dim' out of range (expected to be in range of [%ld, %ld], but got %ld'dim' out of range (expected to be in range of [%ld, %ld], but got %ldCheckParamsValid(n, dim, norm, dims)[%s:%d][%s][%s][%ld] %sRfft1D: n %ld, norm %lduniqueExecutor.get() != nullptr[%s:%d][%s][%s][%ld] %sself: nullptr, return[%s:%d][%s][%s][%ld] errno[%d] %sTry alloc padVec failed[%s:%d][%s][%s][%ld] errno[%d] %sTry convert PAD_VALUE pad tensor failed.Try convert PAD_VALUE pad tensor failed.[%s:%d][%s][%s][%ld] %sRfft1D: aicpu[%s:%d][%s][%s][%ld] %sRfft1D: aicorevector::_M_range_insert[%s:%d][%s][%s][%ld] %sFailed to memcpy in op cahce.[%s:%d][%s][%s][%ld] %sEntering function in params end. %d[%s:%d][%s][%s][%ld] %sEntering function out params end. %daclRfft1D~UniqueExecutorGenerateTerminatorMatrixGenerateDftMatrixGeneratePadInputCheckParamsValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclRfft1DGetWorkspaceSizeaclRfft1DGetWorkspaceSizeN2op6ObjectE14UniqueExecutor?-DT!0C@aclStftacl_stft.cppexcept hopLength > 0except 0 < winLength <= nFftwindowCheckDtypeValid(self, out)Format only support NDCheckFormat(self)stftResult != nullptrSoC_versionunknownVersionAscend910AAscend910BAscend910PremiumAAscend910ProAAscend910ProBAscend910B1Ascend910B2Ascend910B3Ascend910B4Ascend910B2CAscend910C1Ascend910C2Ascend910C3Ascend920AAscend310P1Ascend310P3Ascend310Ascend310B1Ascend310B2Ascend310B3Ascend310B4Ascend310M1Ascend320Ascend610Ascend610LiteAscend615Ascend710Vir01Ascend710Vir02Ascend710Vir04Ascend710Vir08BS9SX1AAHi3796CV300CSHi3796CV300ESOPTGSD3403TsnsCTsnsEAscend031Ascend035ddr_rateubblock_sizeAICPUSyncBySWTSCPUSyncBySWCounterWorkspaceSizeai_core_cntjit_compile_default_valuejit_compile_modevec_freqIntrinsic_mmadAICoreMemoryRatesAICoreSpecCPUCacheDSARandomSoCInfoSoftwareSpecVectorCoreMemoryRatesVectorCoreSpecAICoreintrinsicDtypeMapVectorCoreintrinsicDtypeMapALL_LABEL_END[%s:%d][%s][%s][%ld] errno[%d] %sthe %s tensor must have at least %zu dimensions.the %s tensor must have at least %zu dimensions.[%s:%d][%s][%s][%ld] errno[%d] %sthe %s tensor cannot be larger than %zu dimensions.the %s tensor cannot be larger than %zu dimensions.[%s:%d][%s][%s][%ld] errno[%d] %sexcept hopLength > 0[%s:%d][%s][%s][%ld] errno[%d] %sexcept 0 < winLength <= nFft[%s:%d][%s][%s][%ld] errno[%d] %sexcept winLength and window size should be equalexcept winLength and window size should be equal[%s:%d][%s][%s][%ld] errno[%d] %sexpected tensor for %s to have same size as %s, but got %s.expected tensor for %s to have same size as %s, but got %s.[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NDCheckShape(self, out, window, hopLength, winLength, nFft, onesided, returnComplex)DFX_IN(self, window, nFft, hopLength, winLength, normalized, onesided, returnComplex)[%s:%d][%s][%s][%ld] %sStft: aicpu[%s:%d][%s][%s][%ld] %sStft: aicoreaclStft~UniqueExecutorGenerateDftMatrixGeneratePadWindowCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclStftGetWorkspaceSizeaclStftGetWorkspaceSize jW@Q ?@aclnnAbsaclnn_abs.cppDFX_IN(self)CheckFormat(self, out)CheckShape(self, out)absResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %s%s expected dtype is %s but found %s.%s expected dtype is %s but found %s.[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal. self [%s], out [%s].Format of input and output should be equal. self [%s], out [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW.Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sexpected tensor for %s to have same size as tensor for %s, but %s does not equal %s.expected tensor for %s to have same size as tensor for %s, but %s does not equal %s.aclnnAbs~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAbsGetWorkspaceSizeaclnnAbsGetWorkspaceSize      aclnnAcosaclnn_acos.cppaclnnInplaceAcosinputCheckNotNull(input, out)CheckDtypeValid(input, out)CheckShape(input, out)inputContiguous != nullptrinputCast != nullptracosOutRet != nullptrDFX_IN(input)DFX_IN(inputRef)DFX_OUT(inputRef)aclnnInplaceAcosaclnnAcosOpDfxGuardaclnnInplaceAcosGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecAcosGetWorkspaceSizeExecAcosGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAcosGetWorkspaceSize     aclnnAcoshaclnn_acosh.cppaclnnInplaceAcoshCheckPromoteType(self, out)selfCast != nullptracoshOutRet != nullptrDFX_IN(selfRef)DFX_OUT(selfRef)[%s:%d][%s][%s][%ld] errno[%d] %sresult type %s can't be cast to the desired output type %s.result type %s can't be cast to the desired output type %s.aclnnInplaceAcoshaclnnAcoshOpDfxGuardaclnnInplaceAcoshGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAcoshGetWorkspaceSize~UniqueExecutorCheckPromoteTypeCheckShapeCheckDtypeValidIsNullptrCheckParamsExecAcoshGetWorkspaceSizeExecAcoshGetWorkspaceSize     aclnnAdaptiveAvgPool2daclnn_adaptive_avg_pool2d.cppshapeResult != nullptrmulMatrixUnsqueeze != nullptrleftMatrixBmmv2 != nullptrrightMatrixBmmv2 != nullptrleftMatrixCast != nullptrrightMatrixCast != nullptrmulMatrixCast != nullptrmulResult != nullptrmulResultCast != nullptrCheckInputDims(self)CheckOutputSize(outputSize)DFX_IN(self, outputSize)reduceMeanResult != nullptrAscend910C4inputContiguousCast != nullptrassistMatrixTensor[leftMatrixIndex] != nullptrassistMatrixTensor[rightMatrixIndex] != nullptrassistMatrixTensor[mulMatrixIndex] != nullptrleftMatrixUnsqueeze != nullptrrightMatrixUnsqueeze != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type List[int] for argument %s but instead found type null.expected a value of type List[int] for argument %s but instead found type null.CheckNotNull(self, outputSize, out)[%s:%d][%s][%s][%ld] errno[%d] %sInput dims %zu should be in 3 or 4.Input dims %zu should be in 3 or 4.[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and out should be equal, input [%s], out [%s].Format of input and out should be equal, input [%s], out [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only don't support private format.Format only don't support private format.[%s:%d][%s][%s][%ld] errno[%d] %soutputSize length should be 2.outputSize length should be 2.[%s:%d][%s][%s][%ld] errno[%d] %soutputSize value should greater than 0.outputSize value should greater than 0.aclnnAdaptiveAvgPool2d~UniqueExecutorDoAdaptiveAvgPool2DDoReduceMeanCheckOutputSizeCheckFormatCheckDtypeValidCheckInputDimsIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAdaptiveAvgPool2dGetWorkspaceSizeaclnnAdaptiveAvgPool2dGetWorkspaceSizeselfShape != nullptrselfShapeCast != nullptrvmOut != nullptrbmmOutForward != nullptrbmmOut != nullptrview_copy_result != nullptrmulOpOut != nullptrDFX_IN(gradOutput, self)CheckFormat(gradOutput, self)rets == ACLNN_SUCCESSaclnnAdaptiveAvgPool2dBackwardaclnn_adaptive_avg_pool2d_backward.cppleftMaitrixUnsqueeze != nullptrrightMaitrixUnsqueeze != nullptrCheckNotNull(gradOutput, self, y)[%s:%d][%s][%s][%ld] errno[%d] %sself'dims is invalid, self No.[%lu] dim is [%d].self'dims is invalid, self No.[%lu] dim is [%d].[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput'dims is invalid, self No.[%lu] dim is [%d].gradOutput'dims is invalid, self No.[%lu] dim is [%d].CheckInputDims(gradOutput, self, y)CheckDtypeValid(gradOutput, self)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of inputs should be equal, gradOutput [%s], self [%s]Format of inputs should be equal, gradOutput [%s], self [%s][%s:%d][%s][%s][%ld] errno[%d] %sDimNum of inputs should be equal, gradOutput [%s], self [%s]DimNum of inputs should be equal, gradOutput [%s], self [%s][%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NCHW、CHW.Format only support NCHW、CHW.[%s:%d][%s][%s][%ld] errno[%d] %snon-empty 3D or 4D tensor expected for inputsnon-empty 3D or 4D tensor expected for inputsgradOutputContiguous != nullptraclnnAdaptiveAvgPool2dBackward~UniqueExecutorDoFusionAdaptiveAvgPool2DBackwardDoAdapativeAvgPool2DBackwardCheckFormatCheckDtypeValidCheckInputDimsIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAdaptiveAvgPool2dBackwardGetWorkspaceSizeaclnnAdaptiveAvgPool2dBackwardGetWorkspaceSize?aclnnAdaptiveAvgPool3dBackwardaclnn_adaptive_avg_pool3d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sexpected both tensors to have same dtype, but found %s %s and %s %s.expected both tensors to have same dtype, but found %s %s and %s %s.[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NCDHW、CDHW.Format only support NCDHW、CDHW.[%s:%d][%s][%s][%ld] errno[%d] %snon-empty 4D or 5D tensor expected for inputsnon-empty 4D or 5D tensor expected for inputsCheckNotNull(gradOutput, self, out)CheckInputDims(gradOutput, self)CheckDtypeValid(gradOutput, self, out)CheckDtypeShape(gradOutput, self, out)[%s:%d][%s][%s][%ld] errno[%d] %sadaptive_avg_pool3d_backward only support D=1 && H=1 && W=1 current!adaptive_avg_pool3d_backward only support D=1 && H=1 && W=1 current!CheckParamsLogic(gradOutput) == ACLNN_SUCCESSaclnnAdaptiveAvgPool3dBackward~UniqueExecutorDoAdapativeAvgPool3dBackwardCheckParamsLogicCheckDtypeShapeCheckDtypeValidCheckInputDimsIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAdaptiveAvgPool3dBackwardGetWorkspaceSizeaclnnAdaptiveAvgPool3dBackwardGetWorkspaceSize  aclnnAdaptiveMaxPool2daclnn_adaptive_max_pool2d.cppCheckInpuNullTensor(self)selfNd != nullptrselfNewFormat != nullptroutputNewShape != nullptrindicesNewShape != nullptroutputNewFormat != nullptrindicesNewFormat != nullptrCheckNotNull(self, outputSize, output, indices)CheckDtypeValid(self, output, indices)[%s:%d][%s][%s][%ld] errno[%d] %sSelf dims %zu should be in 3 or 4.Self dims %zu should be in 3 or 4.CheckShape(self, output, indices)[%s:%d][%s][%s][%ld] errno[%d] %sadaptive_max_pooling2d():expected input to have non-empty spatiak dimensions, but input has sizes %zu with dimension %zu being empty.adaptive_max_pooling2d():expected input to have non-empty spatiak dimensions, but input has sizes %zu with dimension %zu being empty.[%s:%d][%s][%s][%ld] errno[%d] %soutputSize length should be 2, but now is %lu.outputSize length should be 2, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %soutputSize value should greater than 0, but the sizes of %zu is %ld.outputSize value should greater than 0, but the sizes of %zu is %ld.DFX_OUT(outputOut, indicesOut)outputRst != nullptr && indicesRst != nullptrviewCopyOutputResult != nullptrviewCopyIndicesResult != nullptraclnnAdaptiveMaxPool2d~UniqueExecutorCheckOutputSizeCheckInpuNullTensorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAdaptiveMaxPool2dGetWorkspaceSizeaclnnAdaptiveMaxPool2dGetWorkspaceSize aclnnAddaclnn_add.cppaclnnInplaceAddaclnnAddsaclnnInplaceAddsselfRefDFX_IN(self, other, alpha)CheckShapeScalar(self, y)selfCasted != nullptrotherRes != nullptraddOpOut != nullptrCheckShape(self, other, y)otherContiguous != nullptrotherCasted != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and other dtype %s can not promote dtype.Self dtype %s and other dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sAlpha dtype %s can't be cast to the promote dtype %s.Alpha dtype %s can't be cast to the promote dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sPromote dtype %s can't be cast to the desired output type %s.Promote dtype %s can't be cast to the desired output type %s.[%s:%d][%s][%s][%ld] errno[%d] %sShape of out should be %s, but current is %s.Shape of out should be %s, but current is %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected shape of selfRef should be %s, but got %s.Expected shape of selfRef should be %s, but got %s.[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type number for argument %s but instead found type null.expected a value of type number for argument %s but instead found type null.CheckNotNullScalar(self, other, alpha, y)CheckPromoteType(self->GetDataType(), other->GetDataType(), alpha, y->GetDataType(), promoteType)CheckNotNull(self, other, alpha, y)aclnnInplaceAddsaclnnAddsaclnnInplaceAddaclnnAddCheckInplaceaclnnInplaceAddGetWorkspaceSizeCheckShapeScalarCheckParamsScalarOpDfxGuardaclnnAddsGetWorkspaceSizeaclnnAddsGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAddGetWorkspaceSizeaclnnAddGetWorkspaceSize      !  !  !  !  !    !       ! !!!!!!!!aclnnAddbmmaclnn_addbmm.cppaclnnInplaceAddbmmbatch1batch2batch1Tensorbatch2TensorCheckAddbmmOutputNotNull(out)emptyOut != nullptrbiasBmmOut != nullptrreduceSumOutCasted != nullptraddOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sBfloat16 is unsupported by the current SOC version [%s], self is %s, mat1 is %s, mat2 is %s, out is %sBfloat16 is unsupported by the current SOC version [%s], self is %s, mat1 is %s, mat2 is %s, out is %s[%s:%d][%s][%s][%ld] errno[%d] %sexpected %zu dimensions input, but got %s with sizes %s.expected %zu dimensions input, but got %s with sizes %s.[%s:%d][%s][%s][%ld] errno[%d] %sbatch1's last dim and batch2's penultimate dim shoule be same, batch1 [%ld], batch2 [%ld].batch1's last dim and batch2's penultimate dim shoule be same, batch1 [%ld], batch2 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sbatch1's first dim and batch2's first dim shoule be same, Now batch1 [%ld], batch2 [%ld].batch1's first dim and batch2's first dim shoule be same, Now batch1 [%ld], batch2 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sself and batch1@barch2's last two dims should be both empty or not, self is [%d], batch1@barch2 is [%d]self and batch1@barch2's last two dims should be both empty or not, self is [%d], batch1@barch2 is [%d][%s:%d][%s][%s][%ld] errno[%d] %sShape of self and batch1@batch2's last two dims can't broadcast.Shape of self and batch1@batch2's last two dims can't broadcast.CheckInputNotNull(self, batch1, batch2, beta, alpha)CheckDtypeValid(self, batch1, batch2, out)CheckShape(self, batch1, batch2)CheckBroadCast(self, batch1, batch2, out)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of batch1 and batch2 should be equal, batch1 [%s], batch2 [%s].Format of batch1 and batch2 should be equal, batch1 [%s], batch2 [%s].CheckAddbmmFormat(batch1, batch2)CheckMathType(batch1, batch2, cubeMathType)DFX_IN(self, batch1, batch2, beta, alpha, cubeMathType)[%s:%d][%s][%s][%ld] %sReturning an empty tensor without actually doing calculation[%s:%d][%s][%s][%ld] %saddbmm run in NeedToConvertBias branch[%s:%d][%s][%s][%ld] %saddbmm run in bmm+add branchaclnnInplaceAddbmmaclnnAddbmm~UniqueExecutoraddBmmProcessEmptyTensorCheckAddbmmFormatCheckBroadCastCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAddbmmGetWorkspaceSizeaclnnAddbmmGetWorkspaceSize4aclnnAddcdivaclnn_addcdiv.cppaclnnInplaceAddcdivtensor1tensor2tensor1Contiguous != nullptrtensor1Casted != nullptrtensor2Contiguous != nullptrtensor2Casted != nullptraddcdivOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %stensor1 dtype %s and tensor2 dtype %s can not promote dtype.tensor1 dtype %s and tensor2 dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sself dtype %s and tensor1 * tensor2 dtype %s * %s can not promote dtype.self dtype %s and tensor1 * tensor2 dtype %s * %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sthe size of tensor %s %s must match the size %s.the size of tensor %s %s must match the size %s.DFX_IN(self, tensor1, tensor2, value)CheckNotNull(self, tensor1, tensor2, value, out)CheckDtypeValid(self, tensor1, tensor2)CheckPromoteType(self, tensor1, tensor2, out)CheckMaxDimension(self) && CheckMaxDimension(tensor1) && CheckMaxDimension(tensor2) && CheckMaxDimension(out)CheckInAndOutShape(self, tensor1, tensor2, out)aclnnInplaceAddcdivaclnnAddcdiv~UniqueExecutorCheckInAndOutShapeCheckMaxDimensionCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAddcdivGetWorkspaceSizeaclnnAddcdivGetWorkspaceSize    aclnnAddcmulaclnn_addcmul.cppaclnnInplaceAddcmulself_contiguous != nullptrself_casted != nullptrtensor1_contiguous != nullptrtensor1_casted != nullptrtensor2_contiguous != nullptrtensor2_casted != nullptraddcmul_op_out != nullptrcast_out != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saddcmul can not support promote dtype %s, self dtype is %s and tensor1 * tensor2 dtype is %s * %saddcmul can not support promote dtype %s, self dtype is %s and tensor1 * tensor2 dtype is %s * %s[%s:%d][%s][%s][%ld] errno[%d] %sShape of tensor1 and tensor2 can't broadcast.Shape of tensor1 and tensor2 can't broadcast.[%s:%d][%s][%s][%ld] errno[%d] %sShape of self and other can't broadcast.Shape of self and other can't broadcast.[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s], tensor1 [%s], tensor2 [%s], out [%s].Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s], tensor1 [%s], tensor2 [%s], out [%s].CheckFormat(self, tensor1, tensor2, out)CheckShape(self, tensor1, tensor2, out)aclnnInplaceAddcmulaclnnAddcmul~UniqueExecutorCheckShapeCheckFormatCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAddcmulGetWorkspaceSizeaclnnAddcmulGetWorkspaceSize     aclnnAddmmaclnn_addmm.cppaclnnInplaceAddmmmat1mat2CheckMatmul(mat1, mat2)addmmRes == ACLNN_SUCCESSmatmulOut != nullptrbiasMmOut != nullptrmatmulOutCasted != nullptrCheckNotNull(self, mat1, mat2, beta, alpha, out)CheckDtypeValid(self, mat1, mat2, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe k-axis of the two inputs are different.The k-axis of the two inputs are different.CheckBroadcast(self, mat1, mat2)[%s:%d][%s][%s][%ld] errno[%d] %sShape of out should be [%ld,%ld], but current is %s.Shape of out should be [%ld,%ld], but current is %s.CheckOutShape(mat1, mat2, out)CheckMathType(mat1, mat2, cubeMathType)DFX_IN(self, mat1, mat2, beta, alpha, cubeMathType)[%s:%d][%s][%s][%ld] %saddmm run in NeedToConvertBias branchaclnnInplaceAddmmaclnnAddmm~UniqueExecutorAddProcessAddmmMulEmptyProcessCheckOutShapeCheckBroadcastCheckMatmulCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAddmmGetWorkspaceSizeaclnnAddmmGetWorkspaceSizeaclnnAddmvaclnn_addmv.cppalphaTensor != nullptrvecResultCast != nullptrvecContiguous != nullptrmatContiguous != nullptrmatCasted != nullptrvecCasted != nullptrmatMulOut != nullptrvecResult != nullptrmat2Casted != nullptrvecmatMulRet != nullptrmulRetCasted != nullptrmatMulRetCasted != nullptrvecResultFinal != nullptrfinalRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sMat dtype %s and Vec dtype %s can not promote dtype.Mat dtype %s and Vec dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sAlpha dtype %s and Mat/Vec dtype %s can not promote dtype.Alpha dtype %s and Mat/Vec dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and Beta dtype %s can not promote dtype.Self dtype %s and Beta dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %spart1(beta*self) dtype %s and part2(alpha*(mat@vec)) dtype %s can not promote dtype.part1(beta*self) dtype %s and part2(alpha*(mat@vec)) dtype %s can not promote dtype.DFX_IN(self, mat, vec, alpha, beta, cubeMathType)CheckNotNull(self, mat, vec, alpha, beta, out)CheckDtypeValid(self, mat, vec, alpha, beta, out)CheckPromoteType(self, mat, vec, alpha, beta, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpect input tensor dim [0/1,2,1,1], but receive self [%zu], mat [%zu], vec [%zu], out [%zu].Expect input tensor dim [0/1,2,1,1], but receive self [%zu], mat [%zu], vec [%zu], out [%zu].[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor shape not statisify, current shape : self [%s], mat [%s], vec [%s], out [%s].Input tensor shape not statisify, current shape : self [%s], mat [%s], vec [%s], out [%s].CheckTensorDimAndSize(self, mat, vec, out)CheckMathType(mat, vec, cubeMathType)aclnnAddmv~UniqueExecutorCheckTensorDimAndSizeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAddmvGetWorkspaceSizeaclnnAddmvGetWorkspaceSizeGetMulResultMulScalarGetMatMulResult  aclnnAddraclnn_addr.cppaclnnInplaceAddraddrOutCast != nullptrvec1Contiguous != nullptrvec2Contiguous != nullptrvec1Cast != nullptrvec2Cast != nullptrvecMul != nullptrvecMul1 != nullptrvecMul2 != nullptrouterVec != nullptrmulOuterVec != nullptrselfScaling != nullptraddrOut != nullptrvec1optValidaddrRet == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sBoolean beta only supported for Boolean results.Boolean beta only supported for Boolean results.[%s:%d][%s][%s][%ld] errno[%d] %sBoolean alpha only supported for Boolean results.Boolean alpha only supported for Boolean results.[%s:%d][%s][%s][%ld] errno[%d] %sFor integral input tensors, argument beta must not be a floating point numberFor integral input tensors, argument beta must not be a floating point number[%s:%d][%s][%s][%ld] errno[%d] %sFor integral input tensors, argument alpha must not be a floating point numberFor integral input tensors, argument alpha must not be a floating point number[%s:%d][%s][%s][%ld] errno[%d] %sthe size of tensor self %s must match the size of tensor outer %s.the size of tensor self %s must match the size of tensor outer %s.[%s:%d][%s][%s][%ld] errno[%d] %ssize mismatch, input: %s, v1: %s, v2: %ssize mismatch, input: %s, v1: %s, v2: %sDFX_IN(self, vec1, vec2, betaOptional, alphaOptional)CheckNotNull(self, vec1, vec2, out)CheckDtypeValid(self, vec1, vec2, beta, alpha, out)CheckShape(self, vec1, vec2, out)aclnnInplaceAddraclnnAddr~UniqueExecutoraddrOutHandlevecUnsqueezeWithDimaddrStubCheckShapeCheckBetaAndAlphaDtyeValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAddrGetWorkspaceSizeaclnnAddrGetWorkspaceSize      aclnnAffineGridaclnn_affine_grid.cppthetaCheckDtypeValid(theta, out)CheckShape(theta, size, out)thetaContiguous != nullptraffineGridOut != nullptroutReshape != nullptrviewCopyMinResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected theta to be not null tensor.Expected theta to be not null tensor.[%s:%d][%s][%s][%ld] errno[%d] %sExpected a batch of 2D affine matrices of shape Nx2x3 for size [%ld, %ld, %ld, %ld]. Got %s.Expected a batch of 2D affine matrices of shape Nx2x3 for size [%ld, %ld, %ld, %ld]. Got %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected a batch of 3D affine matrices of shape Nx3x4 for size [%ld, %ld, %ld, %ld, %ld]. Got %s.Expected a batch of 3D affine matrices of shape Nx3x4 for size [%ld, %ld, %ld, %ld, %ld]. Got %s.[%s:%d][%s][%s][%ld] errno[%d] %sAffineGridGenerator needs 4d or 5d size(input).AffineGridGenerator needs 4d or 5d size(input).DFX_IN(theta, size, alignCorners)CheckNotNull(theta, size, out)aclnnAffineGrid~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAffineGridGetWorkspaceSizeaclnnAffineGridGetWorkspaceSizeaclnnAllaclnn_all.cppbitset::setCheckNotNull(self, dim, out)CheckDim(self, dim)DFX_IN(self, dim, keepdim)dim != nullptrtrueTensor != nullptrallResult != nullptrallResultCasted != nullptr%s: __position (which is %zu) >= _Nb (which is %zu)[%s:%d][%s][%s][%ld] errno[%d] %sExpect out shape [%s], but got: [%s].Expect out shape [%s], but got: [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s]Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s][%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [-%ld, %ld], but got %ld)Dimension out of range (expected to be in range of [-%ld, %ld], but got %ld)CheckShape(self, out, dim, keepdim)aclnnAll~UniqueExecutorCheckShapeCheckDimCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAllGetWorkspaceSizeaclnnAllGetWorkspaceSize   CheckNotNull(x1, x2, output)CheckAttr(streamMode)ret_param == ACLNN_SUCCESSHccLGetRankSize failed.CreateTensor failed.gatherOutAllGatherMatmulAicpuASCEND_MC2_DEBUG_MODEaclnn_all_gather_matmul.cppCheckDtypeValid(x1, x2, bias, output)[%s:%d][%s][%s][%ld] errno[%d] %sExpected streamMode to be 1, but got %ld.Expected streamMode to be 1, but got %ld.[%s:%d][%s][%s][%ld] %sAllGatherMatmul, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sX1 is %s.[%s:%d][%s][%s][%ld] %sX2 is %s.[%s:%d][%s][%s][%ld] errno[%d] %sFailed to get hccl comm by group: %s.Failed to get hccl comm by group: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHccLGetRankSize failed.[%s:%d][%s][%s][%ld] errno[%d] %sCreateTensor failed.[%s:%d][%s][%s][%ld] %sAllGahterMatmul, get gather out is false.[%s:%d][%s][%s][%ld] %sAllGatherMatmul, aclnnInnerGetWorkspaceSize ret = %d.[%s:%d][%s][%s][%ld] %sAllGatherMatmul, end ret = %d.[%s:%d][%s][%s][%ld] %sSkip the api for empty tensor, workspace size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sHcomCreateParamByComm return nullptr.HcomCreateParamByComm return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sAclnnAllGatherMatmul, GetAicpuStream is null.AclnnAllGatherMatmul, GetAicpuStream is null.[%s:%d][%s][%s][%ld] errno[%d] %sTilingData size is %u more than %u!TilingData size is %u more than %u![%s:%d][%s][%s][%ld] errno[%d] %sThis is an error in launch aicpu.[%s:%d][%s][%s][%ld] errno[%d] %sThis is an error in launch aicore[%s:%d][%s][%s][%ld] %sDebug mode is %u.[%s:%d][%s][%s][%ld] %sAllGatherMatmul, end aclnnAllGatherMatmul notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sAllGatherMatmul, end aclnnAllGatherMatmul.aclnnAllGatherMatmulaclnnAllGatherMatmul~UniqueExecutorIsGatherOutCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnAllGatherMatmulGetWorkspaceSizeaclnnAllGatherMatmulGetWorkspaceSizelibccl_kernel.soRunAicpuRpcSrvLaHcclAicpuOpaclnnAmaxaclnn_amax.cppDFX_IN(self, dim, keepDim)CheckDimValid(self, dim)maxResult != nullptrcastMaxOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sProvided dim %ld not in the range of input tensor size %ld.Provided dim %ld not in the range of input tensor size %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reducution dim %ld to have non-zero size.Expected reducution dim %ld to have non-zero size.[%s:%d][%s][%s][%ld] errno[%d] %sDim %ld appears multiple times in the list of dims.Dim %ld appears multiple times in the list of dims.CheckShape(self, dim, keepDim, out)aclnnAmax~UniqueExecutorCheckShapeCheckDimValidCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAmaxGetWorkspaceSizeaclnnAmaxGetWorkspaceSize    aclnnAminaclnn_amin.cppminResult != nullptrcastMinOut != nullptraclnnAmin~UniqueExecutorCheckShapeCheckDimValidCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAminGetWorkspaceSizeaclnnAminGetWorkspaceSize    aclnnAminmaxaclnn_aminmax.cppminOutDFX_OUT(minOut, maxOut)viewCopyMaxResult != nullptrmin != nullptrmax != nullptrCheckNotNull(self, dim, minOut, maxOut)CheckDtypeValid(self, minOut, maxOut)CheckShape(self, minOut, maxOut)[%s:%d][%s][%s][%ld] errno[%d] %sExpected self to be not empty tensor.Expected self to be not empty tensor.[%s:%d][%s][%s][%ld] errno[%d] %sExpected dim to be in range of [-1, 0], but got %ld.Expected dim to be in range of [-1, 0], but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected dim to be in range of [%ld, %ld], but got %ld.Expected dim to be in range of [%ld, %ld], but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reduction dim %ld to have non-zero size, but check failed.Expected reduction dim %ld to have non-zero size, but check failed.aclnnAminmax~UniqueExecutorCheckDimValidCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAminmaxGetWorkspaceSizeaclnnAminmaxGetWorkspaceSize    aclnnAminmaxAllaclnn_aminmax_all.cppCheckNotNull(self, minOut, maxOut)aclnnAminmaxAll~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnAminmaxAllGetWorkspaceSizeaclnnAminmaxAllGetWorkspaceSize    aclnnAminmaxDimaclnn_aminmax_dim.cppviewCopyMinOut != nullptrviewCopyMaxOut != nullptraclnnAminmaxDim~UniqueExecutorCheckDimValidCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAminmaxDimGetWorkspaceSizeaclnnAminmaxDimGetWorkspaceSize    aclnnAnyaclnn_any.cppDimension out of range.falseTensor != nullptranyResult != nullptranyResultCasted != nullptranyResultFormat != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range.aclnnAny~UniqueExecutorCheckShapeCheckDimCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAnyGetWorkspaceSizeaclnnAnyGetWorkspaceSize   aclnnApplyAdamWV2aclnn_apply_adam_w_v2.cppvarRefmRefvRefmaxGradNormOptionalRefgradstepDFX_OUT()varContiguous != nullptrmContiguous != nullptrvContiguous != nullptrgradContiguous != nullptrvarCast != nullptrmCast != nullptrgradCast != nullptrvarOut != nullptrmaxGradNormOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sStep should have only one element, please check.Step should have only one element, please check.CheckNotNull(varRef, mRef, vRef, maxGradNormOptionalRef, grad, step, amsgrad)CheckShape(varRef, mRef, vRef, maxGradNormOptionalRef, grad, step)DFX_IN(varRef, mRef, vRef, maxGradNormOptionalRef, grad, step, lr, beta1, beta2, weightDecay, eps, amsgrad, maximize)maxGradNormOptionalRef == nullptr || maxGradNormContiguous != nullptrmaxGradNormContiguous == nullptr || maxGradNormCast != nullptraclnnApplyAdamWV2~UniqueExecutorCheckShapeIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnApplyAdamWV2GetWorkspaceSizeaclnnApplyAdamWV2GetWorkspaceSize aclnnArangeaclnn_arange.cppstartDFX_IN(start, end, step)step must be nonzero.arangeOutRet != nullptrarangeOutCast != nullptrCheckNotNull(start, end, step, out)CheckDtypeValid(start, end, step, out)[%s:%d][%s][%s][%ld] errno[%d] %sstep must be nonzero.[%s:%d][%s][%s][%ld] errno[%d] %supper bound and larger bound inconsistent with step sign.upper bound and larger bound inconsistent with step sign.CheckParamsLogic(start, end, step, out) == ACLNN_SUCCESSaclnnArange~UniqueExecutorCheckParamsLogicCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnArangeGetWorkspaceSizeaclnnArangeGetWorkspaceSize      aclnnArgMaxaclnn_argmax.cppnewShapeArray != nullptrargmaxOut != nullptroutShapeArray != nullptrcastResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sdim must be within the range of [%ld, %ld], but it is %ld.dim must be within the range of [%ld, %ld], but it is %ld.aclnnArgMax~UniqueExecutorCheckDimCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnArgMaxGetWorkspaceSizeaclnnArgMaxGetWorkspaceSize  aclnnArgMinaclnn_argmin.cppargminOut != nullptrreformatResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND,NCL,NCHW,NHWC,HWCN,NDHWC,NCDHW,input format is [%s] and out format is [%s].Format only support ND,NCL,NCHW,NHWC,HWCN,NDHWC,NCDHW,input format is [%s] and out format is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sExcepted reduction dim %ld to have non-zero size.Excepted reduction dim %ld to have non-zero size.CheckSelfDimSizeNonZreo(self, dim)aclnnArgMin~UniqueExecutorHandleScalarCheckSelfDimSizeNonZreoCheckShapeCheckFormatCheckDtypeValidCheckDimValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnArgMinGetWorkspaceSizeaclnnArgMinGetWorkspaceSize     aclnnArgsortaclnn_argsort.cppDFX_IN(self, dim, descending)CheckTupleNullptr(sortOut)indicesTranspose != nullptrindicesCast != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sthe dim being sorted can not have more than INT_MAX elementsthe dim being sorted can not have more than INT_MAX elements[%s:%d][%s][%s][%ld] errno[%d] %sThe sort axis value is not support 1 when input type is BF16.The sort axis value is not support 1 when input type is BF16.aclnnArgsort~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidCheckDimValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnArgsortGetWorkspaceSizeaclnnArgsortGetWorkspaceSize   aclnnAscendAntiQuantaclnn_ascend_anti_quant.cpp361001CheckDim(self, scale, offset)[%s:%d][%s][%s][%ld] errno[%d] %ssupport for %s is not implementedsupport for %s is not implemented[%s:%d][%s][%s][%ld] errno[%d] %sout data type must be the same as dstType.out data type must be the same as dstType.[%s:%d][%s][%s][%ld] errno[%d] %sscale dim num must be 1. scale:%zuscale dim num must be 1. scale:%zu[%s:%d][%s][%s][%ld] errno[%d] %soffset dim num must be 1. offset:%zuoffset dim num must be 1. offset:%zu[%s:%d][%s][%s][%ld] errno[%d] %sdim of scale must be the same as dim of offsetdim of scale must be the same as dim of offset[%s:%d][%s][%s][%ld] errno[%d] %sthe last dim size(%ld) of input must be same as scale and offset(%ld).the last dim size(%ld) of input must be same as scale and offset(%ld).DFX_IN(x, scale, offset, dstType, sqrtMode)CheckNotNull(self, scale, out)CheckDtypeValid(self, scale, offset, out, dstType)CheckShape(self, out, scale, offset)ascendAntiQuantV2Result != nullptraclnnAscendAntiQuant~UniqueExecutorCheckDimCheckShapeGetScaleOffsetDtypeSupportListGetOutDtypeSupportListCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAscendAntiQuantGetWorkspaceSizeaclnnAscendAntiQuantGetWorkspaceSizeaclnnAscendQuantaclnn_ascend_quant.cppDFX_OUT(y)roundceiltruncCheckRoundMode(roundMode)scaleCast != nullptroffsetCast != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sinputx:%s not compatible with scale:%s.inputx:%s not compatible with scale:%s.[%s:%d][%s][%s][%ld] errno[%d] %sthe dim(%ld) of input must be 1, but it is(%ld).the dim(%ld) of input must be 1, but it is(%ld).DFX_IN(x, scale, offset, roundMode, sqrtMode, dstType)ascendQuantV2Result != nullptraclnnAscendQuant~UniqueExecutorCheckDimCheckDimOneCheckShapeGetScaleOffsetDtypeSupportListGetInDtypeSupportListCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAscendQuantGetWorkspaceSizeaclnnAscendQuantGetWorkspaceSizeaclnnAsinaclnn_asin.cppaclnnInplaceAsin[%s:%d][%s][%s][%ld] %sThe soc version [%s] does not support BFloat16 with inputaclnnInplaceAsinaclnnAsinOpDfxGuardaclnnInplaceAsinGetWorkspaceSize~UniqueExecutorCheckShapeisSupportBf16VersionCheckDtypeValidIsNullptrCheckParamsExecAsinGetWorkspaceSizeExecAsinGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAsinGetWorkspaceSize      aclnnAsinhaclnn_asinh.cppaclnnInplaceAsinhasinhOutRet != nullptraclnnInplaceAsinhaclnnAsinhOpDfxGuardaclnnInplaceAsinhGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecAsinhGetWorkspaceSizeExecAsinhGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAsinhGetWorkspaceSize      aclnnAtanaclnn_atan.cppaclnnInplaceAtanatanOutRet != nullptrCheckShapeConsistent(input, out)aclnnInplaceAtanaclnnAtanOpDfxGuardaclnnInplaceAtanGetWorkspaceSize~UniqueExecutorCheckShapeConsistentCheckDtypeValidIsNullptrCheckParamsExecAtanGetWorkspaceSizeExecAtanGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAtanGetWorkspaceSize     aclnnAtan2aclnn_atan2.cppaclnnInplaceAtan2CheckDtypeValid(self, other)CheckShape(self, other, out)otherCast != nullptrkernelOut != nullptrDFX_IN(selfRef, other)DFX_IN(self, other)CheckNotNull(self, other, out)[%s:%d][%s][%s][%ld] %sSelfDtype dtype %s ,otherDtype dtype %s ,promoteType %s,inferDtype type float.aclnnInplaceAtan2aclnnAtan2OpDfxGuardaclnnInplaceAtan2GetWorkspaceSize~UniqueExecutorInferDtypeCheckShapeCheckDtypeValidIsNullptrCheckParamsExecAtan2GetWorkspaceSizeExecAtan2GetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAtan2GetWorkspaceSize      aclnnAtanhaclnn_atanh.cppaclnnInplaceAtanhatanhOutRet != nullptraclnnInplaceAtanhaclnnAtanhOpDfxGuardaclnnInplaceAtanhGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecAtanhGetWorkspaceSizeExecAtanhGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnAtanhGetWorkspaceSize      aclnnAvgPool2daclnn_avgpool2d.cppreformatInput != nullptrreformatOut != nullptrtransOutput != nullptrNot support format [%s].inputNC1HWC0 != nullptrDtype %s do not supportpoolingOut != nullptrkernelstridepaddingDim value of out is negative.unsqueezedInput != nullptrcast4dTensor != nullptrFormat:%s not support.[%s:%d][%s][%s][%ld] errno[%d] %sself format should be NCHW or NCL. Actual: self is [%s].self format should be NCHW or NCL. Actual: self is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sout format should be NCHW or NCL. Actual: out is [%s].out format should be NCHW or NCL. Actual: out is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sself and out should all be NCHW when 4D. Actual: self [%s], out [%s].self and out should all be NCHW when 4D. Actual: self [%s], out [%s].[%s:%d][%s][%s][%ld] errno[%d] %sNot support format [%s].[%s:%d][%s][%s][%ld] errno[%d] %sDtype %s do not supportDFX_IN(self, kernelSize, strides, paddings, ceilMode, countIncludePad, divisorOverride, cubeMathType)CheckNotNullPtr(self, kernelSize, stride, padding, out)[%s:%d][%s][%s][%ld] errno[%d] %sself and out must be 3D or 4D.self and out must be 3D or 4D.[%s:%d][%s][%s][%ld] errno[%d] %sExpected tensor with optional 0 dim batch size for input, but got: %s.Expected tensor with optional 0 dim batch size for input, but got: %s.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of self is negative.Dim value of self is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of out is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of kernel is negative.Dim value of kernel is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of stride is negative.Dim value of stride is negative.CheckShape(self, kernelSize, stride, out)CheckCubeMathType(self->GetDataType(), cubeMathType)[%s:%d][%s][%s][%ld] errno[%d] %scubeMathType cannot support fp32 in this platform.cubeMathType cannot support fp32 in this platform.[%s:%d][%s][%s][%ld] errno[%d] %scubeMathType cannot support hf32 in this platform.cubeMathType cannot support hf32 in this platform.[%s:%d][%s][%s][%ld] errno[%d] %sFormat:%s not support.ACLNN_SUCCESS == BuildGlobalPoolGraph(uniqueExecutor, cast4dTensor, kernel4, divisorOverride, out)ACLNN_SUCCESS == BuildAvgPoolGraph(uniqueExecutor, cast4dTensor, kernel4, stride4, paddings4, ceilModeInt, countIncludePad, divisorOverride, out)ACLNN_SUCCESS == BuildAiCpuGraph(uniqueExecutor, cast4dTensor, kernel4, stride4, paddings4, ceilMode, exclusive, divisorOverride, out)aclnnAvgPool2d~UniqueExecutorBuildAiCpuGraphGenWeightDynamicBuildAvgPoolGraphView4Das3DBuildGlobalPoolGraphGetPoolInfoView3Das4DCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAvgPool2dGetWorkspaceSizeaclnnAvgPool2dGetWorkspaceSizeaclnnAvgPool2dBackwardaclnn_avgpool2d_backward.cppgradOutputND != nullptrgradOutputNCHW != nullptrgradOutputNC1HWC0 != nullptrselfNC1HWC0 != nullptrgradInputNC1HWC0 != nullptrtransGradInput != nullptrDFX_OUT(gradInput)kernelSizekernelMatrixFractalZ != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDtype of gradOutput and gradInput should be equal, gradOutput [%s], gradInput [%s].Dtype of gradOutput and gradInput should be equal, gradOutput [%s], gradInput [%s].[%s:%d][%s][%s][%ld] %sCurrent isNoNeedMul flag is: %d[%s:%d][%s][%s][%ld] errno[%d] %sdivisorOverride only support in [-255, 0) && (0, 255].divisorOverride only support in [-255, 0) && (0, 255].DFX_IN(gradOutput, self, kernelSize, stride, padding, ceilMode, countIncludePad, divisorOverride, cubeMathType)CheckNotNull(gradOutput, self, kernelSize, padding, gradInput)CheckDtypeVaild(gradOutput, self, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput format should be NCHW or NCL. Actual: gradOutput is [%s].gradOutput format should be NCHW or NCL. Actual: gradOutput is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sgradInput format should be NCHW or NCL. Actual: gradInput is [%s].gradInput format should be NCHW or NCL. Actual: gradInput is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput and gradInput should all be NCHW when 4D. Actual: gradOutput [%s], gradInput [%s].gradOutput and gradInput should all be NCHW when 4D. Actual: gradOutput [%s], gradInput [%s].CheckFormatVaild(gradOutput, self, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput and gradInput must be 3D or 4D at the same time.gradOutput and gradInput must be 3D or 4D at the same time.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of gradOutput is negative.Dim value of gradOutput is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDim value of gradInput is negative.Dim value of gradInput is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDims of kernelSize should <= 2, Actual: Dims of kernelSize is [%ld].Dims of kernelSize should <= 2, Actual: Dims of kernelSize is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sDim value of kernelSize is negative.Dim value of kernelSize is negative.[%s:%d][%s][%s][%ld] errno[%d] %sDims of stride should <= 2, Actual: Dims of stride is [%ld].Dims of stride should <= 2, Actual: Dims of stride is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sDims of padding should <= 2, Actual: Dims of padding is [%ld].Dims of padding should <= 2, Actual: Dims of padding is [%ld].CheckDimsVaild(gradOutput, self, kernelSize, stride, padding, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %svalue of paddingH should be at most half of kernelH. Actual: paddingH is [%ld],kernelH is [%ld].value of paddingH should be at most half of kernelH. Actual: paddingH is [%ld],kernelH is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %svalue of paddingW should be at most half of kernelW. Actual: paddingW is [%ld],kernelW is [%ld].value of paddingW should be at most half of kernelW. Actual: paddingW is [%ld],kernelW is [%ld].CheckPaddingValid(kernelSize, padding)[%s:%d][%s][%s][%ld] errno[%d] %svalue of cubeMathType cann't be is not in [KEEP_DTYPE, ALLOW_FP32_DOWN_PRECISION, USE_FP16, USE_HF32].value of cubeMathType cann't be is not in [KEEP_DTYPE, ALLOW_FP32_DOWN_PRECISION, USE_FP16, USE_HF32].CheckCubeMathTypeValid(cubeMathType)aclnnAvgPool2dBackward~UniqueExecutorView4Das3DView3Das4DBuildCubeGraphBuildAvgPool2dBackwardGraphCheckCubeMathTypeValidCheckPaddingValidCheckDimsVaildCheckFormatVaildCheckDtypeVaildIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnAvgPool2dBackwardGetWorkspaceSizeaclnnAvgPool2dBackwardGetWorkspaceSizeaclnnBaddbmmaclnn_baddbmm.cppaclnnInplaceBaddbmmCheckOutputNotNull(out)bmmOutCasted != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sbatch1's first dim and mat2's first dim shoule be same, Now batch1 [%ld], mat2 [%ld].batch1's first dim and mat2's first dim shoule be same, Now batch1 [%ld], mat2 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sself and batch1@barch2 should be both empty tensors, or not, self is [%d], batch1@barch2 is [%d].self and batch1@barch2 should be both empty tensors, or not, self is [%d], batch1@barch2 is [%d].[%s:%d][%s][%s][%ld] errno[%d] %sShape of self and batch1@batch2 can't broadcast.Shape of self and batch1@batch2 can't broadcast.[%s:%d][%s][%s][%ld] errno[%d] %sbatch1@batch2's shape should be same with broadcastShape, broadcastShape [%s], bmmShape [%s]batch1@batch2's shape should be same with broadcastShape, broadcastShape [%s], bmmShape [%s][%s:%d][%s][%s][%ld] errno[%d] %sFormat of all input and output should be equal, batch1 [%s], batch2 [%s], out [%s].Format of all input and output should be equal, batch1 [%s], batch2 [%s], out [%s].CheckFormat(batch1, batch2, out)aclnnInplaceBaddbmmaclnnBaddbmm~UniqueExecutorbmmProcessEmptyTensorCheckFormatCheckBroadCastCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBaddbmmGetWorkspaceSizeaclnnBaddbmmGetWorkspaceSizeaclnnBatchMatMulaclnn_batch_matmul.cppself_cast != nullptrmat2_cast != nullptrself_transdata != nullptrmat2_transdata != nullptrbmm_op_out != nullptrtransdata_out != nullptrreformatSelf != nullptrreformatMat2 != nullptrcontiguousSelf != nullptrcontiguousMat2 != nullptrcontiguousBias != nullptrbatchMatmulOut != nullptrreformatBmmOut != nullptrCheckNotNull(self, mat2, out)selfTensorotherTensorCheckShape(self, mat2)[%s:%d][%s][%s][%ld] %sEntering aclnnBatchMatmul[%s:%d][%s][%s][%ld] %sopImplModeEnum=%ld, cubeMathType=%d[%s:%d][%s][%s][%ld] %sChecking BMM-V3 Case: m = %ld, k = %ld, n = %ld, trans1 = %ld, trans2 = %ld, bias = %ld, dtype-flag = %ld[%s:%d][%s][%s][%ld] %sHit batch_mat_mul_v3 white list. Use batch_mat_mul_v3.[%s:%d][%s][%s][%ld] %sNot batch_mat_mul_v3 case for unsupported SOC version or unsupported Format.[%s:%d][%s][%s][%ld] %sNot batch_mat_mul_v3 case due to unsupported dtype.[%s:%d][%s][%s][%ld] %sbatch_mat_mul_v3 case does not support bias yet[%s:%d][%s][%s][%ld] %sHit batch_mat_mul_v3 scenario.CheckMathType(self, mat2, cubeMathType)kEqual1SelfToMKRes == ACLNN_SUCCESSkEqual1Mat2ToKNRes == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] %sHit MatMul or BatchMatmul k=1 scenario, trans matmul to mul to calculatemEqual1SelfToMKRes == ACLNN_SUCCESSnEqual1Mat2ToNKRes == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sBfloat16 is unsupported by the current SOC version [%s], now self is %s, mat2 is %s, out is %sBfloat16 is unsupported by the current SOC version [%s], now self is %s, mat2 is %s, out is %s[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor's dtype[DT_FLOAT] should be same with output's dtype[DT_FLOAT16].Input tensor's dtype[DT_FLOAT] should be same with output's dtype[DT_FLOAT16].[%s:%d][%s][%s][%ld] %sSelf's dtype [%s] and mat2's dtype [%s] are not equal. Promotion of Data Type will be appliedCheckDtypeValid(self, mat2, bias, out, cubeMathType)DFX_IN(self, mat2, cubeMathType)unique_executor.get() != nullptrCheckDtypeValid(self, mat2, nullptr, out, cubeMathType)[%s:%d][%s][%s][%ld] errno[%d] %sself's last dim and mat2's penultimate dim shoule be same, self [%ld], mat2 [%ld].self's last dim and mat2's penultimate dim shoule be same, self [%ld], mat2 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sself's first dim and mat2's first dim shoule be same, or x1 or x2 equal 1.Now self [%ld], mat2 [%ld].self's first dim and mat2's first dim shoule be same, or x1 or x2 equal 1.Now self [%ld], mat2 [%ld].aclnnBatchMatMulaclnnBatchMatMul~UniqueExecutorCheckShapeIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchMatMulGetWorkspaceSizeaclnnBatchMatMulGetWorkspaceSizeProcessEmptyTensorCheckDtypeValidExecBmmOpWithBiasExecBatchMatmulOpWithBiasAndAttrsCheckHitV3ListShapeCheckAscendCScenarioGetBatchMatmulOpGetBatchMatmulOpInfoXXd XX` ` (` ` ,` ` ,` ` (` ` ,` ` (` ` ` ` ` ` ,` ` (` ` ,` ` (` ` (aclnnBatchNormaclnn_batch_norm.cppweightResize != nullptrbiasResize != nullptrrunningMeanResize != nullptrrunningVarResize != nullptrinferResult != nullptrinput6hd != nullptrresultNcdhw != nullptrviewCopyRunningVar != nullptrviewCopyMean != nullptrviewCopyVar != nullptrrunningMean != nullptrrunningVar != nullptrbias != nullptrinputPre != nullptroutputFormat != nullptroutputTranspose != nullptrsaveMeansaveInvstdrunningMeanrunningVarCheckFormat(input, output)CheckShape(input, output)bnResult == ACLNN_SUCCESSviewCopyRunningMean != nullptrDFX_IN(input, weight, bias, runningMean, runningVar, training, momentum, eps)DFX_OUT(output, saveMean, saveInvstd)CheckNotNull(input, output, saveMean, saveInvstd, training)CheckDtypeValid(input, output, saveMean, saveInvstd, training)CheckOtherDtypeValid(weight, bias, runningMean, runningVar)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, input [%s], output [%s].Format of input and output should be equal, input [%s], output [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCL、NCHW、NCDHW.Format only support ND、NCL、NCHW、NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sDim of weight should be one and shape is channel num of input.Dim of weight should be one and shape is channel num of input.[%s:%d][%s][%s][%ld] errno[%d] %sDim of bias should be one and shape is channel num of input.Dim of bias should be one and shape is channel num of input.[%s:%d][%s][%s][%ld] errno[%d] %sDim of runningMean should be one and shape is channel num of input.Dim of runningMean should be one and shape is channel num of input.[%s:%d][%s][%s][%ld] errno[%d] %sDim of runningVar should be one and shape is channel num of input.Dim of runningVar should be one and shape is channel num of input.CheckOtherShape(dimC, weight, bias, runningMean, runningVar)aclnnBatchNormBatchNormBatchNormProc~UniqueExecutorCheckOtherShapeCheckShapeCheckFormatCheckOtherDtypeValidCheckDtypeValidCheckParamsIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormGetWorkspaceSizeaclnnBatchNormGetWorkspaceSizeaclnnBatchNormBackwardaclnn_batch_norm_backward.cppreduceGrad != nullptrsaveMeanResize != nullptrsaveInvstdResize != nullptrgradOut6hd != nullptrsaveMean != nullptrsaveInvstd != nullptrgradOutPre != nullptrgradWeightgradBiasgradOutgradOutContigous != nullptrviewCopyWeight != nullptrviewCopyBias != nullptrCheckMaskNotNull(gradInput, gradWeight, gradBias, outputMask)CheckDtypeValid(gradOut, input)CheckGradDtypeValid(gradInput, gradWeight, gradBias, outputMask)CheckOtherDtypeValid(weight, runningMean, runningVar, saveMean, saveInvstd)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of gradOut and input should be equal, gradOut [%s], input [%s].Format of gradOut and input should be equal, gradOut [%s], input [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat of gradOut and gradInput should be equal, gradOut [%s], gradInput [%s].Format of gradOut and gradInput should be equal, gradOut [%s], gradInput [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NC, NCL, NCHW, NCDHW.Format only support NC, NCL, NCHW, NCDHW.CheckFormat(gradOut, input, gradInput, outputMask)CheckShape(gradOut, input, gradInput, outputMask)CheckOtherShape(dimC, weight, runningMean, runningVar)DFX_IN(gradOut, input, weight, runningMean, runningVar, saveMean, saveInvstd, training, eps, outputMask)DFX_OUT(gradInput, gradWeight, gradBias)CheckInputNotNull(gradOut, input)viewCopyInput == ACLNN_SUCCESSaclnnBatchNormBackward~UniqueExecutorCheckOtherShapeCheckShapeCheckFormatCheckOtherDtypeValidCheckGradDtypeValidCheckDtypeValidCheckParamsIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormBackwardGetWorkspaceSizeaclnnBatchNormBackwardGetWorkspaceSizeBatchNormBackwardBatchNormBackwardProcBatchNormPostaclnnBatchNormReduceBackwardoutRevCast != nullptrgradOutContiguous != nullptrmeanContiguous != nullptrinvstdContiguous != nullptrweightContiguous != nullptrgradOutCast != nullptrmeanCast != nullptrinvstdCast != nullptrweightCast != nullptr(ret == ACLNN_SUCCESS)reduceSumDyXRet != nullptrreduceSumDyRet != nullptroutCopyRet == ACLNN_SUCCESSinvstdsumDysumDyXmuisNotNullinputParamTensorList[0].paramdtypeInListretaclnn_batch_norm_backward_reduce.cppCheckSyncResultNotNull(outArray)DFX_IN(gradOut, input, mean, invstd, weight, inputG, weightG, biasG)DFX_OUT(sumDy, sumDyXmu, gradWeight, gradBias)CheckNotNull(inputParamTensorList[i].param, inputParamTensorList[i].paramName)CheckInputNotNull(inputParamTensorList, inputListSize)CheckOutputNotNull(outputParamTensorList, outputListSize, outputMask)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of gradOut and input should be equal. self [%s], out [%s].Format of gradOut and input should be equal. self [%s], out [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW;but %s format is %s, please check.Format only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW;but %s format is %s, please check.[%s:%d][%s][%s][%ld] errno[%d] %schannel size of input should not be zero.channel size of input should not be zero.bnBwReduceRet == ACLNN_SUCCESSaclnnBatchNormReduceBackward~UniqueExecutorSingleOutParamCastAndViewCopyOutputParamCastAndViewCopyaclnnBatchNormReduceBackwardForSumDyInputParamContiguousAndCastaclnnBatchNormReduceBackwardNpuImplCheckShapeCheckFormatCheckDtypeInSupportListCheckDtypeValidCheckOutputNotNullCheckNotNullCheckInputNotNullCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormReduceBackwardGetWorkspaceSizeaclnnBatchNormReduceBackwardGetWorkspaceSizeaclnnBatchNormElemtaclnn_batch_norm_elemt.cppDFX_OUT(output)variance != nullptrone != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDtype %s should be in dtype support list [%s].Dtype %s should be in dtype support list [%s].DFX_IN(input, weight, bias, mean, invstd, eps)CheckNotNull(input, mean, invstd, output)CheckDtypeValid(input, weight, bias, mean, invstd, output)[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND,NCHW,NCL,NCDHW.Format only support ND,NCHW,NCL,NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sInput channel size should not be zero.Input channel size should not be zero.[%s:%d][%s][%s][%ld] errno[%d] %sWeight/bias/mean/invstd dim size should be one.Weight/bias/mean/invstd dim size should be one.[%s:%d][%s][%s][%ld] errno[%d] %sWeight/bias/mean/invstd shape should be same as the channel size of input.Weight/bias/mean/invstd shape should be same as the channel size of input.CheckShape(input, weight, bias, mean, invstd, output)aclnnBatchNormElemt~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidIsNullptrCheckBatchNormElemtParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormElemtGetWorkspaceSizeaclnnBatchNormElemtGetWorkspaceSizeaclnnBatchNormElemtBackwardreduceSumOut != nullptrsumDyCasted != nullptrsumDyXmuCasted != nullptrmeanDyResult != nullptrmeanDyXmuResult != nullptrcounterUnsqueeze 0 errorUnsqueeze end errorsumDyContiguous != nullptrsumDyXmuContiguous != nullptrcounterContiguous != nullptrsumDyCast != nullptrsumDyXmuCast != nullptrmeanResult == ACLNN_SUCCESSmeanReshape != nullptrinvstdReshape != nullptrweightReshape != nullptrmeanDyReshape != nullptrmeanDyXmuReshape != nullptrmeanDyCast != nullptrmeanDyXmuCast != nullptroutputCast != nullptraclnn_batch_norm_elemt_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sUnsqueeze 0 error[%s:%d][%s][%s][%ld] errno[%d] %sUnsqueeze end error[%s:%d][%s][%s][%ld] errno[%d] %sShape of input and value can't broadcast.Shape of input and value can't broadcast.DFX_IN(gradOut, input, mean, invstd, weight, sumDy, sumDyXmu, counter)CheckNotNull(gradOut, input, mean, invstd, weight, sumDy, sumDyXmu, counter, gradInput)CheckDtypeValid(gradOut, input, mean, invstd, weight, sumDy, sumDyXmu, counter, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of gradOut only support ND, NCHW, NCL, NCDHW.Format of gradOut only support ND, NCHW, NCL, NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input only support ND, NCHW, NCL, NCDHW.Format of input only support ND, NCHW, NCL, NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sFormat of gradInput only support ND, NCHW, NCL, NCDHW.Format of gradInput only support ND, NCHW, NCL, NCDHW.CheckFormat(gradOut, input, gradInput)CheckShape(gradOut, input, gradInput)aclnnBatchNormElemtBackward~UniqueExecutorBroadcastReshapeMeanByCounterCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnBatchNormElemtBackwardGetWorkspaceSizeaclnnBatchNormElemtBackwardGetWorkspaceSizerunningTensorCast != nullptrrunningTensorMid != nullptrcountContiguous != nullptrcountCast != nullptrcountUnsqueeze != nullptrcountBroadcast != nullptrcountAllSum != nullptrmeanAllOutput != nullptrmeanAllBroadcast != nullptrrunningMeanOutput != nullptrrunningVarCast_ != nullptrrunningMeanCast_ != nullptrrunningVarSqueeze != nullptrrunningMeanSqueeze != nullptrmeanAllCast != nullptrinvstdAllCast != nullptrmeanAllSqueeze != nullptrinvstdAllSqueeze != nullptrmeanAllinvstdAlldim of counts should be one.DFX_OUT(meanAll, invstdAll)runningMeanMid != nullptrrunningVarMid != nullptrinvstdOutput != nullptrrunningVarOutput != nullptraclnnBatchNormGatherStatsWithCountsaclnn_batch_norm_gather_stats_with_counts.cpprunningTensorContiguous != nullptrcountAllSumBroadcast != nullptrrunningVarViewCopyResult != nullptrrunningMeanViewCopyResult != nullptrmeanAllViewCopyResult != nullptrinvstdAllViewCopyResult != nullptrCheckNotNull(input, mean, invstd, counts, meanAll, invstdAll)CheckDtypeValid(input, meanAll, invstdAll, mean, invstd, runningMean, runningVar, counts)CheckFormat(input, mean, invstd, counts)[%s:%d][%s][%s][%ld] errno[%d] %sdims of mean/invstd should be the same, and dims should equal two.dims of mean/invstd should be the same, and dims should equal two.[%s:%d][%s][%s][%ld] errno[%d] %sfirst dimension of mean/invstd should be the same.first dimension of mean/invstd should be the same.[%s:%d][%s][%s][%ld] errno[%d] %ssecond dimension of mean/invstd should be the channel size of input.second dimension of mean/invstd should be the channel size of input.[%s:%d][%s][%s][%ld] errno[%d] %sdim of running_mean should be one.dim of running_mean should be one.[%s:%d][%s][%s][%ld] errno[%d] %sdim of running_var should be one.dim of running_var should be one.[%s:%d][%s][%s][%ld] errno[%d] %sfirst dimension of running_mean should be the channel size of input.first dimension of running_mean should be the channel size of input.[%s:%d][%s][%s][%ld] errno[%d] %sfirst dimension of running_var should be the channel size of input.first dimension of running_var should be the channel size of input.[%s:%d][%s][%s][%ld] errno[%d] %sdim of counts should be one.[%s:%d][%s][%s][%ld] errno[%d] %sfirst dimension of counts should be same as the first dimension mean/invstd.first dimension of counts should be same as the first dimension mean/invstd.CheckShape(input, mean, invstd, runningMean, runningVar, counts)DFX_IN(input, mean, invstd, runningMean, runningVar, momentum, eps, counts)aclnnBatchNormGatherStatsWithCounts~UniqueExecutorAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormGatherStatsWithCountsGetWorkspaceSizeaclnnBatchNormGatherStatsWithCountsGetWorkspaceSizeCopyMeanAndInvstdToDstCopyRunningTensorToDstGatherStatsWithCountsCalculateRunningTensorCheckShapeCheckFormatCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidCheckDtypeValidIsNullptrCheckBatchNormGatherStatsWithCountsParamsaclnnBatchNormStatsaclnn_batch_norm_stats.cppDFX_IN(input, eps)DFX_OUT(meanOut, invstdOut)reformat != nullptrview_copy_mean != nullptrbroadcast != nullptrview_copy_invstd != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sChannel size of input should not be zero.Channel size of input should not be zero.CheckNotNull(input, mean, invstd)CheckDtypeValid(input, mean, invstd)[%s:%d][%s][%s][%ld] errno[%d] %sInput format only support ND, NCL, NCHW, NCDHW.Input format only support ND, NCL, NCHW, NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sMean format only support ND, NCL, NCHW, NCDHW.Mean format only support ND, NCL, NCHW, NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sInvstd format only support ND, NCL, NCHW, NCDHW.Invstd format only support ND, NCL, NCHW, NCDHW.CheckFormat(input, mean, invstd)CheckShape(input, mean, invstd)reduceStdWithMeanResult != nullptraclnnBatchNormStats~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchNormStatsGetWorkspaceSizeaclnnBatchNormStatsGetWorkspaceSizeaclnnBatchMatmulQuantaclnn_batchmatmul_quant.cppquantParam[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, contiguouse return nullptr.The input perprocess failed, contiguouse return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sTHe input perprocess failed, reformat return nullptr.THe input perprocess failed, reformat return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe dims of the two inputs should be same and be less than M, now they are different %s, %sThe dims of the two inputs should be same and be less than M, now they are different %s, %s[%s:%d][%s][%s][%ld] errno[%d] %squantParam[%ld] != 1 or quantParam dim == 1, but quantParamDim0[%ld] not equal to n or 1 or n align to multiple of 16quantParam[%ld] != 1 or quantParam dim == 1, but quantParamDim0[%ld] not equal to n or 1 or n align to multiple of 16[%s:%d][%s][%s][%ld] errno[%d] %sdimTensorBias[%ld] != 1 or Bias dim == 1, but biasDim0[%ld] not equal to ndimTensorBias[%ld] != 1 or Bias dim == 1, but biasDim0[%ld] not equal to n[%s:%d][%s][%s][%ld] errno[%d] %sThe k-axis of the two inputs are different %s, %sThe k-axis of the two inputs are different %s, %s[%s:%d][%s][%s][%ld] errno[%d] %sThe last two dim of out shape %s need equal [%ld, %ld]The last two dim of out shape %s need equal [%ld, %ld]DFX_IN(x1, x2, quantParam, bias, transposeX1, transposeX2)CheckNotNull(x1, x2, quantParam, out)CheckDtypeValid(x1, x2, quantParam, bias, out)CheckShapeValid(x1, x2, quantParam, bias, out, adjX1, adjX2)PreInputProcess(x1, unique_executor.get()) == ACLNN_SUCCESSPreInputProcess(x2, unique_executor.get()) == ACLNN_SUCCESSPreInputProcess(quantParam, unique_executor.get()) == ACLNN_SUCCESSPreInputProcess(bias, unique_executor.get()) == ACLNN_SUCCESSaclnnBatchMatmulQuant~UniqueExecutorProcessEmptyTensorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBatchMatmulQuantGetWorkspaceSizeaclnnBatchMatmulQuantGetWorkspaceSizePreInputProcess aclnnBernoulliTensoraclnn_bernoulli.cppaclnnBernoulliaclnnInplaceBernoulliTensoraclnnInplaceBernoulliprobCheckShapeTensor(input, prob)CheckDtypeValid(input, prob)CheckProb(prob)CheckShape(input)CheckFormat(input)input_contiguous != nullptrprob_contiguous != nullptrCheckNotNullTensor(input, prob, out)CheckDtypeValidTensor(input, prob)[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, input [%s], prob [%s]Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, input [%s], prob [%s]CheckFormatTensor(input, prob)CheckNotNull(input, prob, out)[%s:%d][%s][%s][%ld] errno[%d] %sprob should be in range 0<=prob<=1 .prob should be in range 0<=prob<=1 .[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, input [%s]Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, input [%s]DFX_IN(input, prob, seed, offset)aclnnInplaceBernoulliaclnnInplaceBernoulliTensoraclnnBernoulliaclnnBernoulliTensorCheckFormatCheckShapeCheckProbCheckDtypeValidIsNullptrCheckParamsOpDfxGuardaclnnBernoulliGetWorkspaceSizeaclnnBernoulliGetWorkspaceSize~UniqueExecutorCheckFormatTensorCheckShapeTensorCheckDtypeValidTensorIsNullptrCheckParamsTensorAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBernoulliTensorGetWorkspaceSizeaclnnBernoulliTensorGetWorkspaceSize      aclnnBinaryCrossEntropytargetContiguous != nullptraclnn_binary_cross_entropy.cpp[%s:%d][%s][%s][%ld] errno[%d] %sweight dtype %s should be in dtype support list [%s].weight dtype %s should be in dtype support list [%s].DFX_IN(self, target, weight, reduction)CheckNotNull(self, target, out)CheckDtypeValid(self, target, weight, out)CheckShapeValid(self, target, weight, out)[%s:%d][%s][%s][%ld] errno[%d] %sReduction only support 0, 1, 2.Reduction only support 0, 1, 2.[%s:%d][%s][%s][%ld] %sReduction is %ld, out shape must [1].binaryCrossEntropyOut != nullptraclnnBinaryCrossEntropy~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBinaryCrossEntropyGetWorkspaceSizeaclnnBinaryCrossEntropyGetWorkspaceSizeweightOptionalselfShape == broadcastShapeCheckReduction(reduction)weightTensor != nullptrgradOutputCasted != nullptrtargetCasted != nullptrweightCasted != nullptrbceGrad != nullptrbceGradCasted != nullptrreformatBceGradOut != nullptraclnnBinaryCrossEntropyBackwardaclnn_binary_cross_entropy_backward.cppCheckNotNull(gradOutput, self, target, out)CheckDimension(gradOutput, self, target, weightOptional, out)CheckDtypeValid(gradOutput, self, target, weightOptional, out)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of self and target can't be different, self [%s], target [%s].Format of self and target can't be different, self [%s], target [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat of self and weightOptional can't be different, self [%s], weightOptional [%s].Format of self and weightOptional can't be different, self [%s], weightOptional [%s].CheckFormat(gradOutput, self, target, weightOptional)CheckShape(gradOutput, self, target, weightOptional)[%s:%d][%s][%s][%ld] errno[%d] %sReduction should be between 0 and 2, but current is %ldReduction should be between 0 and 2, but current is %ldDFX_IN(gradOutput, self, target, weightOptional, reduction)[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and target dtype %s can not promote dtype.Self dtype %s and target dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput dtype %s and target dtype %s can not promote dtype.GradOutput dtype %s and target dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sWeight dtype %s and target dtype %s can not promote dtype.Weight dtype %s and target dtype %s can not promote dtype.CheckPromoteType(gradOutput, self, target, weightOptional, out, promoteType)aclnnBinaryCrossEntropyBackward~UniqueExecutorCheckPromoteTypeCheckReductionCheckShapeCheckFormatCheckDtypeValidCheckDimensionIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBinaryCrossEntropyBackwardGetWorkspaceSizeaclnnBinaryCrossEntropyBackwardGetWorkspaceSizetargetCast != nullptrposWeightCast != nullptrbceWithLogitsOut != nullptraxes != nullptr*reduceOut != nullptrposWeightaclnnBinaryCrossEntropyWithLogitsaclnn_binary_cross_entropy_with_logits.cppposWeightContiguous != nullptrbceWithLogitsOutCast != nullptrDFX_IN(self, target, weightOptioanl, posWeightOptioanl, reduction)CheckDtypeValid(self, target, out)[%s:%d][%s][%s][%ld] %sReduction is %ld, out shape must be [1].[%s:%d][%s][%s][%ld] errno[%d] %sReduction only support [0, 1, 2].Reduction only support [0, 1, 2].CheckReduction(reduction, out)CheckShape(self, target, weight, posWeight, out)bceWithLogitsRet == ACLNN_SUCCESSaclnnBinaryCrossEntropyWithLogits~UniqueExecutorHandleMeanAndSumReductionOutBinaryCrossEntropyWithLogitsStubHandleEmptyTensorCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBinaryCrossEntropyWithLogitsGetWorkspaceSizeaclnnBinaryCrossEntropyWithLogitsGetWorkspaceSizeposWeightOptionalposWeightTensor != nullptrposWeightCasted != nullptrbceWithLogitsGrad != nullptraclnnBinaryCrossEntropyWithLogitsBackwardaclnn_binary_cross_entropy_with_logits_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %spos_weight dtype %s and target dtype %s can not promote dtype.pos_weight dtype %s and target dtype %s can not promote dtype.DFX_IN(gradOutput, self, target, weightOptional, posWeightOptional, reduction)CheckDimension(gradOutput, self, target, weightOptional, posWeightOptional, out)CheckDtypeValid(gradOutput, self, target, weightOptional, posWeightOptional, out)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of self and out can't be different, self [%s], out [%s].Format of self and out can't be different, self [%s], out [%s].CheckFormat(gradOutput, self, target, weightOptional, posWeightOptional, out)CheckShape(gradOutput, self, target, weightOptional, posWeightOptional, out)CheckPromoteType(gradOutput, self, target, weightOptional, posWeightOptional, out, promoteType)bceWithLogitsGradCasted != nullptrreformatBceWithLogitsGradOut != nullptraclnnBinaryCrossEntropyWithLogitsBackward~UniqueExecutorCheckPromoteTypeBinaryCrossEntropyWithLogitsBackwardStubCheckReductionCheckShapeCheckFormatCheckDtypeValidCheckDimensionIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBinaryCrossEntropyWithLogitsBackwardGetWorkspaceSizeaclnnBinaryCrossEntropyWithLogitsBackwardGetWorkspaceSizeaclnnBincountaclnn_bincount.cppweightsfillTensor != nullptrdstCopyResult != nullptrres == ACLNN_SUCCESSweightsTensor != nullptrweightsContiguous != nullptrBincountOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput and weights should have same format,but input format is [%s] and weights format is [%s].Input and weights should have same format,but input format is [%s] and weights format is [%s].DFX_IN(self, weights, minlength)CheckDtypeValid(self, weights, out)CheckFormat(self, weights, out)aclnnBincount~UniqueExecutordealWeightsTensorDealEmptyTensorWithMinlengthCheckFormatCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnBincountGetWorkspaceSizeaclnnBincountGetWorkspaceSize      aclnnBitwiseAndScalaraclnn_bitwise_and_scalar.cppaclnnInplaceBitwiseAndScalarCheckNotNull(self, other, y)CheckFormat(self, other, y)otherTensor != nullptrCheckDtypeValid(self, other, y)CheckPromoteType(self, other, y)[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND,NCHW,NHWC,HWCN,NDHWC,NCDHW.Format only support ND,NCHW,NHWC,HWCN,NDHWC,NCDHW.aclnnInplaceBitwiseAndScalaraclnnBitwiseAndScalar~UniqueExecutorCheckShapeCheckFormatCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnBitwiseAndScalarGetWorkspaceSizeaclnnBitwiseAndScalarGetWorkspaceSize  aclnnBitwiseAndTensoraclnn_bitwise_and_tensor.cppaclnnInplaceBitwiseAndTensoraclnnInplaceBitwiseAndTensoraclnnBitwiseAndTensor~UniqueExecutorCheckShapeCheckFormatCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnBitwiseAndTensorGetWorkspaceSizeaclnnBitwiseAndTensorGetWorkspaceSize  aclnnBitwiseNotaclnn_bitwise_not.cppCheckNotNull(self, y)CheckDtypeValid(self, y)CheckFormat(self, y)CheckShape(self, y)notOpOut != nullptraclnnBitwiseNot~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnBitwiseNotGetWorkspaceSizeaclnnBitwiseNotGetWorkspaceSize  aclnnBitwiseOrScalaraclnn_bitwise_or_scalar.cppaclnnInplaceBitwiseOrScalarcastSelf != nullptrbitwiseOrOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sself dtype %s and other dtype %s can not promote dtype.self dtype %s and other dtype %s can not promote dtype.CheckDtypeValid(self, other, out, promoteType)aclnnInplaceBitwiseOrScalarOpDfxGuardaclnnInplaceBitwiseOrScalarGetWorkspaceSizeaclnnBitwiseOrScalar~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnBitwiseOrScalarGetWorkspaceSize  aclnnBitwiseOrTensoraclnn_bitwise_or_tensor.cppaclnnInplaceBitwiseOrTensorcontiguousOther != nullptrcastOther != nullptrCheckPromoteType(self, other, out)aclnnInplaceBitwiseOrTensorOpDfxGuardaclnnInplaceBitwiseOrTensorGetWorkspaceSizeaclnnBitwiseOrTensor~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnBitwiseOrTensorGetWorkspaceSize  aclnnBitwiseXorScalaraclnn_bitwise_xor_scalar.cppaclnnInplaceBitwiseXorScalarbitwiseXorScalarOut != nullptraclnnInplaceBitwiseXorScalarOpDfxGuardaclnnInplaceBitwiseXorScalarGetWorkspaceSizeaclnnBitwiseXorScalar~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnBitwiseXorScalarGetWorkspaceSize  aclnnBitwiseXorTensoraclnn_bitwise_xor_tensor.cppaclnnInplaceBitwiseXorTensorbitwiseXorTensorOut != nullptraclnnInplaceBitwiseXorTensorOpDfxGuardaclnnInplaceBitwiseXorTensorGetWorkspaceSizeaclnnBitwiseXorTensor~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnBitwiseXorTensorGetWorkspaceSize  aclnnBitwiseAndTensorOutaclnn_bitwiseand.cppaclnnInplaceBitwiseAndTensorOut[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, self [%s], other [%s], out [%s].Format of input and output should be equal, self [%s], other [%s], out [%s].aclnnInplaceBitwiseAndTensorOutaclnnBitwiseAndTensorOut~UniqueExecutorCheckShapeCheckFormatCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnBitwiseAndTensorOutGetWorkspaceSizeaclnnBitwiseAndTensorOutGetWorkspaceSize  aclnnCastaclnn_cast.cppDFX_IN(self, dtype)CheckDtypeValid(self, dtype)[%s:%d][%s][%s][%ld] errno[%d] %sThe param dtype not implemented for %s, should be in dtype support list %s.The param dtype not implemented for %s, should be in dtype support list %s.aclnnCast~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnCastGetWorkspaceSizeaclnnCastGetWorkspaceSize      aclnnCataclnn_cat.cppviewIn != nullptrconcatTensor != nullptrconcatTensorTail != nullptr(*tensors)[0](*tensors)[i]CheckDtypeValid(tensors, y)CheckPromoteType(tensors, y)CheckFormat(tensors, y)CheckShape(tensors, realDim)DFX_IN(tensors, dim)The first iter is greater than the last[%s:%d][%s][%s][%ld] errno[%d] %sdimnum %ld exceed the dim range of the tensor %ld.dimnum %ld exceed the dim range of the tensor %ld.[%s:%d][%s][%s][%ld] errno[%d] %sdimnum of tensor %lu is [%zu], should be equal to tensor 0 [%ld].dimnum of tensor %lu is [%zu], should be equal to tensor 0 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sdim %ld of tensor %lu is [%ld], should be equal to tensor 0 [%ld].dim %ld of tensor %lu is [%ld], should be equal to tensor 0 [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sexpected a proper TensorList but got null for argument %s.expected a proper TensorList but got null for argument %s.CheckNotNull(tensors, realDim, y)[%s:%d][%s][%s][%ld] errno[%d] %stensor %lu not implemented for %s, should be in dtype support list [%s].tensor %lu not implemented for %s, should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %stensor %lu dtype %s and dtype %s can not promote dtype.tensor %lu dtype %s and dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sFormat of tensors should be equal, tensor %lu [%s], tensor 0 [%s].Format of tensors should be equal, tensor %lu [%s], tensor 0 [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, tensor 0 [%s] out [%s].Format of input and output should be equal, tensor 0 [%s] out [%s].aclnnCat~UniqueExecutorProcessOneTensorSplitToConcatCheckShapeCheckFormatCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCatGetWorkspaceSizeaclnnCatGetWorkspaceSize   aclnnCeilaclnn_ceil.cppaclnnInplaceCeilceilResult != nullptraclnnInplaceCeilaclnnCeilOpDfxGuardaclnnInplaceCeilGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecCeilGetWorkspaceSizeExecCeilGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnCeilGetWorkspaceSize  aclnnCeluaclnn_celu.cppaclnnInplaceCelualpha cannot be 0 for CELU.CheckAttributeValue(alpha)celuV2Out != nullptrDFX_IN(self, alpha)DFX_IN(selfRef, alpha)[%s:%d][%s][%s][%ld] errno[%d] %salpha dtype %s can not cast to float32.alpha dtype %s can not cast to float32.CheckNotNull(self, alpha, out)CheckDtypeValid(self, alpha, out)[%s:%d][%s][%s][%ld] errno[%d] %salpha cannot be 0 for CELU.aclnnInplaceCeluOpDfxGuardaclnnInplaceCeluGetWorkspaceSizeaclnnCelu~UniqueExecutorCheckAttributeValueCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnCeluGetWorkspaceSizeaclnnChamferDistanceBackwardxyz1xyz2idx1idx2gradDist1gradDist2gradXyz1gradXyz2DFX_OUT(gradXyz1, gradXyz2)xyz1Contiguous != nullptrxyz2Contiguous != nullptridx1Contiguous != nullptridx2Contiguous != nullptrxyz1Cast != nullptrxyz2Cast != nullptrgradDist1Cast != nullptrgradDist2Cast != nullptrgradXyz1Cast != nullptrgradXyz2Cast != nullptrviewCopyResult1 != nullptraclnn_chamfer_distance_backward.cppDFX_IN(xyz1, xyz2, idx1, idx2, gradDist1, gradDist2)CheckNotNull(xyz1, xyz2, idx1, idx2, gradDist1, gradDist2, gradXyz1, gradXyz2)CheckDtypeValid(xyz1, xyz2, idx1, idx2, gradDist1, gradDist2, gradXyz1, gradXyz2)gradDist1Contiguous != nullptrgradDist2Contiguous != nullptraclnnChamferDistanceBackward~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnChamferDistanceBackwardGetWorkspaceSizeaclnnChamferDistanceBackwardGetWorkspaceSizeaclnnChannelShuffleaclnn_channel_shuffle.cppDFX_IN(self, groups)CheckAttrValid(self, groups)inputReshape != nullptrinputTranspose != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sNumber of groups to divide channels in must be positive. Value of groups: %ld.Number of groups to divide channels in must be positive. Value of groups: %ld.[%s:%d][%s][%s][%ld] errno[%d] %sNumber of channels must be divisible by groups.Got %ld channels and %ld groups.Number of channels must be divisible by groups.Got %ld channels and %ld groups.aclnnChannelShuffle~UniqueExecutorProcessChannelShuffleCheckShapeCheckAttrValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnChannelShuffleGetWorkspaceSizeaclnnChannelShuffleGetWorkspaceSize  aclnnClampaclnn_clamp.cppaclnnClampMinaclnnClampTensoraclnnClampMinTensoraclnnInplaceClampMinTensoraclnnClampMaxaclnnInplaceClampMaxaclnnInplaceClampMaxTensoraclnnClampMaxTensorself/minbroadcastpromote type fail.promote dtypeclipValueMinclipValueMaxminTensorCasted != nullptrmaxTensorCasted != nullptrminTensorCastedBrc != nullptrmaxTensorCastedBrc != nullptrcastOutFormat != nullptrDFX_IN(self, clipValueMin)DFX_IN(self, max)DFX_IN(self, clipValueMax)DFX_IN(selfRef, clipValueMin)DFX_IN(selfRef, max)DFX_IN(selfRef, clipValueMax)wwww(ww8wwwwwHw`w`wwww`ww`w`wpw`wȊwaclnnClampMaxTensoraclnnClampMaxTensorGetWorkspaceSizeaclnnInplaceClampMaxTensoraclnnInplaceClampMaxTensorGetWorkspaceSizeaclnnInplaceClampMaxOpDfxGuardaclnnInplaceClampMaxGetWorkspaceSizeaclnnClampMaxaclnnClampMaxGetWorkspaceSizeaclnnInplaceClampMinTensorOpDfxGuardaclnnInplaceClampMinTensorGetWorkspaceSizeaclnnClampMinTensorOpDfxGuardaclnnClampMinTensorGetWorkspaceSizeaclnnClampTensorOpDfxGuardaclnnClampTensorGetWorkspaceSizeCheckShapeCheckNotNullCheckParamsaclnnClampTensorCommonaclnnClampTensorCommonClampTensorPromoteTypeClampTensorPromoteShapeaclnnClampMinOpDfxGuardaclnnClampMinGetWorkspaceSizeaclnnClampSplitStringAndPrintOpDfxGuardaclnnClampGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckNotNullCheckParamsaclnnClampCommonaclnnClampCommon     [%s:%d][%s][%s][%ld] errno[%d] %sclamp: At least one of 'min' or 'max' must not be None.clamp: At least one of 'min' or 'max' must not be None.CheckNotNull(self, clipValueMin, clipValueMax, out)[%s:%d][%s][%s][%ld] errno[%d] %spromote type fail.[%s:%d][%s][%s][%ld] %sclamp process with promote dtype %s.CheckShape(self, clipValueMin, clipValueMax, out)ClampTensorPromoteType(self, clipValueMin, clipValueMax, out, promoteType)ClampTensorPromoteShape(self, clipValueMin, clipValueMax, out, promoteShape)selfTensorCastedBrc != nullptrDFX_IN(self, clipValueMin, clipValueMax)aclnnComplexaclnn_complex.cpprealimagDFX_IN(real, imag)CheckNotNull(real, imag, out)realContiguous != nullptrimagContiguous != nullptrcomplexOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype and out dtype must be paired. Current dtype is %s and %s.Input dtype and out dtype must be paired. Current dtype is %s and %s.CheckDtypeValid(real, imag, out)[%s:%d][%s][%s][%ld] errno[%d] %sBroadcastShape %s is not equal out's shape %s.BroadcastShape %s is not equal out's shape %s.CheckOutShape(real, imag, out)aclnnComplex~UniqueExecutorCheckOutShapeCheckDtypeValidCheckParamsIsNullptrSplitStringAndPrintOpDfxGuardaclnnComplexGetWorkspaceSizeaclnnComplexGetWorkspaceSize! ! aclnnConstantPadNdaclnn_constant_pad_nd.cppvalueTensorBool != nullptrindexArr != nullptrfillOutCasted != nullptrstrideArr != nullptrstridedResult != nullptrDFX_IN(self, pad, value)padrealPad != nullptr*noneNegPad != nullptrpadTensor != nullptrvalueCasted != nullptrpadV3Result != nullptrpadV3ResultCasted != nullptrstridedResultCasted != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDim of self[%zu] and out[%zu] can't be different.Dim of self[%zu] and out[%zu] can't be different.[%s:%d][%s][%s][%ld] errno[%d] %sPad len must be divisible by 2Pad len must be divisible by 2[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnConstantPadNd pad len [%zu] to not be greater than twice of [%zu] but check failed.Expected aclnnConstantPadNd pad len [%zu] to not be greater than twice of [%zu] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sThe input size %ld plus padding %ld and %ld resluted in a negative output size, which is invalid. Check dimension %zu of yout input.The input size %ld plus padding %ld and %ld resluted in a negative output size, which is invalid. Check dimension %zu of yout input.[%s:%d][%s][%s][%ld] errno[%d] %soutput shape at dim %zu check failed.output shape at dim %zu check failed.[%s:%d][%s][%s][%ld] errno[%d] %sThe output size %s with zero element is invalid, please check your input.The output size %s with zero element is invalid, please check your input.CheckNotNull(self, pad, value, out)CheckShape(self, pad, out, signSymbol)aclnnConstantPadNd~UniqueExecutorDoStridedSliceDoPadV3GetIntArrHandleSelfEmptyCheckShapeCheckDtypeValidIsNullptrIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnConstantPadNdGetWorkspaceSizeaclnnConstantPadNdGetWorkspaceSize      aclnnContiguousaclnn_contiguous.cppself != nullptrout[i] != nullptraclnnContiguous~UniqueExecutorSplitStringAndPrintOpDfxGuardaclnnContiguousGetWorkspaceSizeaclnnContiguousGetWorkspaceSizeaclnnConvolutionaclnn_convolution.cppaclnnConvTbcaclnnConvDepthwise2dcontiguousInput != nullptrformatOutput != nullptrcastedOutput != nullptrperm != nullptrcontiguousWeight != nullptrcastedInput != nullptrcastedWeight != nullptrcastBias != nullptrmap::atCheck Param failed__rcconvImpl != nullptrcheck %s failed.viewCopyOut != nullptr[%s:%d][%s][%s][%ld] %sinput is not NCHW or is transposed, thus no C04[%s:%d][%s][%s][%ld] %salignResult is %d[%s:%d][%s][%s][%ld] %sFulfill DMA requirement,return False[%s:%d][%s][%s][%ld] %sisConv1d is %d[%s:%d][%s][%s][%ld] %swhen not conv1d scene, inputWidth[%ld] > 32767[%s:%d][%s][%s][%ld] %smaxL1Size is %ld[%s:%d][%s][%s][%ld] %sNot fulfill the requirements for C04[%s:%d][%s][%s][%ld] %sThe input dtype is %s and %s[%s:%d][%s][%s][%ld] %sSince bias does not support BF16, change the dtype of bias to fp32.[%s:%d][%s][%s][%ld] %sEntering float16 C04 branch[%s:%d][%s][%s][%ld] %sEntering bfloat16 C04 branch[%s:%d][%s][%s][%ld] %sEntering not C04 branch[%s:%d][%s][%s][%ld] errno[%d] %sNot support the given data type combination: inputDtype: %s, outputDtype: %sNot support the given data type combination: inputDtype: %s, outputDtype: %s[%s:%d][%s][%s][%ld] %sThe opInfo.inputDtype is %sDFX_IN(input, weight, bias, stride, padding, dilation, transposed, outputPadding, groups, cubeMathType)[%s:%d][%s][%s][%ld] errno[%d] %sCheck Param failedDFX_IN(self, weight, bias, pad, cubeMathType)CheckNotNull(self, weight, bias, output)[%s:%d][%s][%s][%ld] errno[%d] %soutput for tbc expected %ldth value > 0, but get [%ld].output for tbc expected %ldth value > 0, but get [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sbias for tbc [%ld] should be equal to output's last dim [%ld].bias for tbc [%ld] should be equal to output's last dim [%ld].CheckOutputBiasShape(output, bias)CheckOutputBiasDtype(output, bias)[%s:%d][%s][%s][%ld] errno[%d] %soutput for tbc format should be NCL or ND, actual [%s].output for tbc format should be NCL or ND, actual [%s].[%s:%d][%s][%s][%ld] errno[%d] %sbias for tbc format should be ND, actual [%s].bias for tbc format should be ND, actual [%s].CheckOutputBiasFormat(output, bias)DFX_IN(self, weight, kernelSize, bias, stride, padding, dilation, cubeMathType)convOut != nullptrCheckCubeMathType(inputDtype, engine.params.cubeMathType)CheckCubeMathType(upperDtype, engine.params.cubeMathType)engine.params.input != nullptrengine.params.weight != nullptrengine.params.stride != nullptrengine.params.padding != nullptrengine.params.dilation != nullptrengine.params.output != nullptrengine.params.workspaceSize != nullptrengine.params.executor != nullptrengine.params.outputPadding != nullptrpermuteConvTbc != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sCurrent case is not supported. (weight_w - 1) * dilation_w + 1 - padding_top or (weight_w - 1) * dilation_w + 1 - padding_left should not be larger than 255Current case is not supported. (weight_w - 1) * dilation_w + 1 - padding_top or (weight_w - 1) * dilation_w + 1 - padding_left should not be larger than 255[%s:%d][%s][%s][%ld] errno[%d] %sexpected output %ldth dim equal %ld, get %ldexpected output %ldth dim equal %ld, get %ld[%s:%d][%s][%s][%ld] errno[%d] %sexpected %ldth value > 0, but get %ld[%s:%d][%s][%s][%ld] errno[%d] %sexpected bias shape %ld equal to out_channels %ld.expected bias shape %ld equal to out_channels %ld.[%s:%d][%s][%s][%ld] errno[%d] %sexpected input bias size of dim_c[%ld] equal to out_channels[%ld].expected input bias size of dim_c[%ld] equal to out_channels[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sexpected input bias size of none channel equal to 1.expected input bias size of none channel equal to 1.[%s:%d][%s][%s][%ld] errno[%d] %sexpected %s equals one of %s, get %sexpected %s equals one of %s, get %sFormat::FORMAT_NCHWinputFormatweightFormatoutputFormatFormat::FORMAT_ND, Format::FORMAT_NCL[%s:%d][%s][%s][%ld] errno[%d] %sexpected all of %s equal %sinputFormat, weightFormat, outputFormat[%s:%d][%s][%s][%ld] %sconv2d transpose: [%d]Format::FORMAT_NCHW, Format::FORMAT_FRACTAL_ZFormat::FORMAT_NCDHW, Format::FORMAT_NDHWC[%s:%d][%s][%s][%ld] errno[%d] %sinvalid input dim: %ld[%s:%d][%s][%s][%ld] errno[%d] %sexpected input format the same as output format. but get input format: %s, output format: %sexpected input format the same as output format. but get input format: %s, output format: %sexpected all of %s equal %sinvalid input dim: %ld[%s:%d][%s][%s][%ld] errno[%d] %s%s %s is not supported, should be in dtype support list %s.%s %s is not supported, should be in dtype support list %s.[%s:%d][%s][%s][%ld] errno[%d] %sexpected %s = %s, get %sbiasDtypeinputDtypeexpected %s = %s, get %sweightDtypeoutputDtypepadding != nullptrdilation != nullptroutputPadding != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sconv1d pad dim not equal to 1 or 2conv1d pad dim not equal to 1 or 2[%s:%d][%s][%s][%ld] errno[%d] %sconv2d pad size is not in 2 or 4conv2d pad size is not in 2 or 4[%s:%d][%s][%s][%ld] errno[%d] %sCurrent weight format is Internal Format, only support soc 310P! Current soc is %s.Current weight format is Internal Format, only support soc 310P! Current soc is %s.[%s:%d][%s][%s][%ld] errno[%d] %sCurrent weight format is Internal Format, fmap should be same dtype with weight! input dtype: %s, weight dtype: %s.Current weight format is Internal Format, fmap should be same dtype with weight! input dtype: %s, weight dtype: %s.[%s:%d][%s][%s][%ld] %sConv2d entering float16 C04 branch[%s:%d][%s][%s][%ld] %sBefore c04 weight is %s[%s:%d][%s][%s][%ld] %sBefore padv3 weight is %s[%s:%d][%s][%s][%ld] %sAfter padv3 weight is %s[%s:%d][%s][%s][%ld] %sAfter transpose weight is %s[%s:%d][%s][%s][%ld] %sAfter update format weight is %s[%s:%d][%s][%s][%ld] %sAfter transdata weight is %s[%s:%d][%s][%s][%ld] %sAfter reformat weight is %s[%s:%d][%s][%s][%ld] %sConv2d entering bfloat16 C04 branch[%s:%d][%s][%s][%ld] %sConv2d entering not C04 branchret == ACL_SUCCESSinput2d != nullptrweight2d != nullptrpermutWeight != nullptrmmOut3d != nullptrcontiguousMmOut3d != nullptrpermutMmOut3d != nullptrconv1d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconv1d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconvTranspose3d raise an unknown errorconvTranspose3d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconv2d raise an unknown errorconv2d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconv3d raise an unknown errorconv3d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconvTbc raise an unknown errorconvTbc raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sconvTranspose2d raise an unknown errorconvTranspose2d raise an unknown error[%s:%d][%s][%s][%ld] errno[%d] %sexpected all of %s >= %sinputShapeN, inputShapeC, weightShapeN, weightShapeC[%s:%d][%s][%s][%ld] errno[%d] %sexpected %s > %s, get %s[%s:%d][%s][%s][%ld] errno[%d] %sexpected input %ldth dim > 0, but get %ldexpected input %ldth dim > 0, but get %ld[%s:%d][%s][%s][%ld] errno[%d] %sexpected weight %ldth dim > 0, but get %ldexpected weight %ldth dim > 0, but get %ldexpected all of %s >= %sweightShapeNexpected %s > %s, get %s[%s:%d][%s][%s][%ld] errno[%d] %sexpected %s >= %s, get %sinputShapeValueAfterPadexpected %s >= %s, get %s[%s:%d][%s][%s][%ld] errno[%d] %sinput not support empty tensorinput not support empty tensor[%s:%d][%s][%s][%ld] errno[%d] %sshape check failed[%s:%d][%s][%s][%ld] errno[%d] %sstride check failed[%s:%d][%s][%s][%ld] errno[%d] %sdilation check failed[%s:%d][%s][%s][%ld] errno[%d] %spad check failed[%s:%d][%s][%s][%ld] errno[%d] %sexpected filter channel equal to 1. get filter channel %ld.expected filter channel equal to 1. get filter channel %ld.[%s:%d][%s][%s][%ld] errno[%d] %sexpected outChannel divisible by inChannel, get outChannel %ld, inChannel %ldexpected outChannel divisible by inChannel, get outChannel %ld, inChannel %ld[%s:%d][%s][%s][%ld] errno[%d] %scheck bias failedshape check failedstride check faileddilation check failedpad check failedcheck bias failedinputShapeN, inputShapeC, weightShapeCweightShapeC[%s:%d][%s][%s][%ld] errno[%d] %sexpected groups > 0, get %ld.[%s:%d][%s][%s][%ld] errno[%d] %sexpected weight 1st dim equal to input channel in transpose modeexpected weight 1st dim equal to input channel in transpose mode[%s:%d][%s][%s][%ld] errno[%d] %sexpected outputPadding < dilation or stride, get outputPadding %ld, dilation %ld stride %ld.expected outputPadding < dilation or stride, get outputPadding %ld, dilation %ld stride %ld.[%s:%d][%s][%s][%ld] errno[%d] %snegative output_padding is not supportednegative output_padding is not supported[%s:%d][%s][%s][%ld] errno[%d] %sexpected input channel equal to filter channel * groups. get input channel %ld, filter channel %ld, groups %ld.expected input channel equal to filter channel * groups. get input channel %ld, filter channel %ld, groups %ld.[%s:%d][%s][%s][%ld] errno[%d] %sexpected weight 1st dim divisible by groups (including transpose mode), get weight %ld, groups %ldexpected weight 1st dim divisible by groups (including transpose mode), get weight %ld, groups %ld[%s:%d][%s][%s][%ld] errno[%d] %sinput c should not be zero in transpose modeinput c should not be zero in transpose modeexpected groups > 0, get %ld.CONV_2D_DIM_SIZEinputDimweightDimbiasDimAllowbiasDimstrideSizedilationSizepaddingSizeCONV_1D_DIM_SIZEoutputDimbiasDimAllowTbc[%s:%d][%s][%s][%ld] errno[%d] %sexpect %s equals 3 for conv1d, 4 for conv2d or 5 for conv3d, get %sexpect %s equals 3 for conv1d, 4 for conv2d or 5 for conv3d, get %s[%s:%d][%s][%s][%ld] errno[%d] %sGiven transposed=1, weight of size %s, expected bias to be 1-dimensional with %ld elements, but got bias of size %s insteadGiven transposed=1, weight of size %s, expected bias to be 1-dimensional with %ld elements, but got bias of size %s instead[%s:%d][%s][%s][%ld] errno[%d] %sGiven weight of size %s, expected bias to be 1-dimensional with %ld elements, but got bias of size %s insteadGiven weight of size %s, expected bias to be 1-dimensional with %ld elements, but got bias of size %s insteadinputDim - 2, inputDim * 2 - 4outputPaddingSizeinputShapeN, inputShapeC, inputShapeL, weightShapeN, weightShapeC, weightShapeL, outputShapeN, outputShapeC, outputShapeL[%s:%d][%s][%s][%ld] errno[%d] %scheck conv_tbc shape failed[%s:%d][%s][%s][%ld] errno[%d] %scheck conv_tbc bias failedcheck conv_tbc shape failedcheck conv_tbc bias failedaclnnConvDepthwise2dCheckConvDepthwise2dParamsOpDfxGuardaclnnConvDepthwise2dGetWorkspaceSizeaclnnConvDepthwise2dGetWorkspaceSizeaclnnConvTbcaclnnConvolutionCheckConvTbcParamsCheckOutputBiasFormatCheckOutputBiasDtypeCheckOutputBiasShapeCheckParamsEmptyIsNullptrCheckParamsNullptrTbcOpDfxGuardaclnnConvTbcGetWorkspaceSizeaclnnConvTbcGetWorkspaceSize~UniqueExecutorCheckCheckCheckCheckCheckDimCheckCheckCheckCheckCheckCheckpadBinaryValidCheckEmptyTensorCheckConvBiasCheckPadCheckVectorValueGt0CheckShapeCheckCheckConvBiasTbcCheckShapeTbcCheckCheckConvBiasDepthwise2dCheckPadDepthwise2dCheckVectorValueGt0Depthwise2dCheckShapeDepthwise2dCheckEmptyTensorDepthwise2dCheckCheckCheckCheckCheckCheckCheckConvParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnConvolutionGetWorkspaceSizeaclnnConvolutionGetWorkspaceSizeImplPostProcessImplPostProcessPreProcessImplPostProcessImplPostProcessCommonPreProcessC04CheckConv2dWithWeightFZPreProcessImplPostProcessPreProcessImplPostProcessCommonPreProcessView3dAs4dPreProcessConvL0WarperImplPermuteView4dAs3dCommonPostProcessPostProcessView1dAs4disNotDMACanSwitchC04GetConvOpInfoGetConvolutionOpDtypeGetUpperFloatDataType18ConvolutionChecker14NullptrChecker12DtypeChecker15DtypeCheckerTbc23DtypeCheckerDepthwise2d10DimChecker13DimCheckerTbc21DimCheckerDepthwise2d13FormatChecker16FormatCheckerTbc24FormatCheckerDepthwise2d12ValueChecker15ValueCheckerTbc23ValueCheckerDepthwise2d13ConvXdChecker20HardwareLimitChecker23HardwareLimitCheckerTbc29TemporarySoftwareLimitChecker32TemporarySoftwareLimitCheckerTbc15ConvolutionImpl11ConvTbcImpl10Conv1dImpl10Conv2dImpl10Conv3dImpl20ConvTransposed1dImpl20ConvTransposed2dImpl20ConvTransposed3dImplaclnnConvolutionBackwardaclnnConvTbcBackwardinputTensorparams.stride != nullptrdilationinputTensor.input != nullptrinputTensor.weight != nullptrCheckTbcNotNull(self, "Self")CheckTbcNotNull(bias, "Bias")GradInputGradWeightGradBiasCheckTbcFormat(self, "Self")gradInputZeros != nullptrgradInputResult != nullptrgradWeightZeros != nullptrgradWeightResult != nullptrgradBiasOnes != nullptrgradBiasResult != nullptrselfPermuted != nullptrinputPermuted != nullptrweightPermuted != nullptrgradInputTbc != nullptrgradWeightTbc != nullptraclnn_convolution_backward.cpp[%s:%d][%s][%s][%ld] %sThe soc version is Ascend910B or Ascend910C, ConvolutionBackward support to insert Dilation[%s:%d][%s][%s][%ld] %sEntering aclnnConvolutionBackward[%s:%d][%s][%s][%ld] %sEntering aclnnConvTbcBackward[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with PerformConv2DBackpropInput failed, Conv2dBackpropInput return nullptr.The calculation with PerformConv2DBackpropInput failed, Conv2dBackpropInput return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with dxGradInputNC1HWC0Res failed, return nullptr.The calculation with dxGradInputNC1HWC0Res failed, return nullptr.[%s:%d][%s][%s][%ld] %s%s's dimension is 3, the API converts the format of the tensor whose dimension is 3 from ND to NCL.[%s:%d][%s][%s][%ld] errno[%d] %s%s Format only support ND(NCL), NCHW、NCDHW.%s Format only support ND(NCL), NCHW、NCDHW.[%s:%d][%s][%s][%ld] errno[%d] %sThe view4d failed, %s with UnsqueezeNd return nullptr.The view4d failed, %s with UnsqueezeNd return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe view4d failed, %s with ReFormat return nullptr.The view4d failed, %s with ReFormat return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe view3d failed, %s with SqueezeNd return nullptr.The view3d failed, %s with SqueezeNd return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe view3d failed, %s with ReFormat return nullptr.The view3d failed, %s with ReFormat return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, %s with Contiguous return nullptr.The input perprocess failed, %s with Contiguous return nullptr.[%s:%d][%s][%s][%ld] %sThe soc version is Ascend910B or Ascend910C, ConvolutionBackward support input tensor with Fp32[%s:%d][%s][%s][%ld] %sAccording to the configuration of cubeMathType, use Fp16 to calculation.[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, %s with Cast return nullptr.The input perprocess failed, %s with Cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, %s with TransData return nullptr.The input perprocess failed, %s with TransData return nullptr.[%s:%d][%s][%s][%ld] %s%s l0ResultTensor is: %s[%s:%d][%s][%s][%ld] errno[%d] %sThe output postprocess fail, l0ResultTensor with cast return nullptr.The output postprocess fail, l0ResultTensor with cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe output postprocess fail, outputTensor with transdata return nullptr.The output postprocess fail, outputTensor with transdata return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe output postprocess failed, %s with TransData return nullptr.The output postprocess failed, %s with TransData return nullptr.[%s:%d][%s][%s][%ld] %s%s outputTensor dtype: %s[%s:%d][%s][%s][%ld] errno[%d] %sThe output postprocess failed, %s with Cast return nullptr.The output postprocess failed, %s with Cast return nullptr.[%s:%d][%s][%s][%ld] %s%s outputTensor is: %s[%s:%d][%s][%s][%ld] %sEnter bias grad Calculate[%s:%d][%s][%s][%ld] %sgradReshapeND: %s[%s:%d][%s][%s][%ld] %sgradBiasResult: %sOutputPostProcess(outputTensor.gradBias, gradBiasResult, "gradBias", params.groups, executor) == ACLNN_SUCCESSInputPreProcess(inputTensor.gradOutput, "gradOutput", params, promoteType, executor) == ACLNN_SUCCESSInputPreProcess(inputTensor.input, "input", params, promoteType, executor) == ACLNN_SUCCESSInputPreProcess(inputTensor.weight, "weight", params, promoteType, executor, c04Flag) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] %safter InputPreProcess with input[%s:%d][%s][%s][%ld] %sinputTensor.input is: %s[%s:%d][%s][%s][%ld] %sinputTensor.weight is: %s[%s:%d][%s][%s][%ld] %sinputTensor.gradOutput is: %s[%s:%d][%s][%s][%ld] %sEnter dx Calculate[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, Conv2dBackpropInput return nullptr.The calculation with empty tensor failed, Conv2dBackpropInput return nullptr.OutputPostProcess(outputTensor.gradInput, gradInputNC1HWC0, "gradInput", params.groups, executor) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] %sEnter dw Calculate[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, Conv2dBackpropFilter return nullptr.The calculation with empty tensor failed, Conv2dBackpropFilter return nullptr.OutputPostProcess(outputTensor.gradWeight, gradWeightFZ, "gradWeight", params.groups, executor) == ACLNN_SUCCESSInputPreProcess(inputTensor.weight, "weight", params, promoteType, executor) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, Conv2d5HdFp16 return nullptr.The calculation with empty tensor failed, Conv2d5HdFp16 return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, Conv3DBackpropInput return nullptr.The calculation with empty tensor failed, Conv3DBackpropInput return nullptr.OutputPostProcess(outputTensor.gradInput, gradInputNDC1HWC0, "gradInput", params.groups, executor) == ACLNN_SUCCESSOutputPostProcess(outputTensor.gradWeight, gradWeightFZ3D, "gradWeight", params.groups, executor) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sThe %s's dimension can only be set to 1 with Conv1D, actually is %ld.The %s's dimension can only be set to 1 with Conv1D, actually is %ld.inputTensor.gradOutput != nullptroutputTensor.gradInput != nullptroutputTensor.gradWeight != nullptr[%s:%d][%s][%s][%ld] errno[%d] %s%s format only support ND or NCL, but got %s.%s format only support ND or NCL, but got %s.CheckTbcNotNull(input, "Input")CheckTbcNotNull(weight, "Weight")CheckTbcNotNull(gradInput, "GradInput")CheckTbcNotNull(gradWeight, "GradWeight")CheckTbcNotNull(gradBias, "GradBias")CheckDtypeValid(self, "gradOutput")CheckDtypeValid(input, "input")CheckDtypeValid(weight, "weight")CheckDtypeValidBf16Allowed(bias, "bias")CheckDtypeValid(gradInput, "gradInput")CheckDtypeValid(gradWeight, "gradWeight")CheckDtypeValid(gradBias, "gradBias")CheckTbcFormat(input, "Input")CheckTbcFormat(weight, "Weight")CheckTbcFormat(gradInput, "GradInput")CheckTbcFormat(gradWeight, "GradWeight")[%s:%d][%s][%s][%ld] errno[%d] %sInput dim 2 (Input Channels) is not == dim 1 in the weight tensor.Input dim 2 (Input Channels) is not == dim 1 in the weight tensor.[%s:%d][%s][%s][%ld] errno[%d] %sBias size must equal dim 2 in the weight tensor (output channel).Bias size must equal dim 2 in the weight tensor (output channel).[%s:%d][%s][%s][%ld] errno[%d] %sTry to create tensor with negative dimension %ld:[%ld, %ld, %ld]Try to create tensor with negative dimension %ld:[%ld, %ld, %ld][%s:%d][%s][%s][%ld] errno[%d] %sMismatch in shape: grad_output has a shape of %s and output has a shape of [%ld, %ld, %ld].Mismatch in shape: grad_output has a shape of %s and output has a shape of [%ld, %ld, %ld].CheckTbcShape(self, input, weight, bias, pad, gradInput, gradWeight, gradBias)CheckTbcCubeMathType(self, input, weight, cubeMathType)DFX_IN(gradOutput, input, weight, biasSizes, stride, padding, dilation, transposed, outputPadding, groups, outputMask, cubeMathType)CheckNotNull(inputTensor.gradOutput, inputTensor.input, inputTensor.weight)CheckDtypeValid(inputTensor.gradOutput, "gradOutput")CheckDtypeValid(inputTensor.input, "input")CheckDtypeValid(inputTensor.weight, "weight")CheckDtypeValid(outputTensor.gradInput, "gradInput")CheckDtypeValid(outputTensor.gradWeight, "gradWeight")CheckDtypeValid(outputTensor.gradBias, "gradBias")CheckFormatValid(inputTensor.gradOutput, "gradOutput")CheckFormatValid(inputTensor.input, "input")CheckFormatValid(inputTensor.weight, "weight")CheckFormatValid(outputTensor.gradInput, "gradInput")CheckFormatValid(outputTensor.gradWeight, "gradWeight")CheckCubeMathTypeConvBackward(inputTensor, params)[%s:%d][%s][%s][%ld] %sEntering CalculateConvolutionBackwardWithEmpty[%s:%d][%s][%s][%ld] errno[%d] %sThe biasSizes cannot be nullptr with empty tensor calculation.The biasSizes cannot be nullptr with empty tensor calculation.[%s:%d][%s][%s][%ld] errno[%d] %sThe biasSizes size must be 1, actually is %ld.The biasSizes size must be 1, actually is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sThe gradOutput and weight cannot be empty tensor.The gradOutput and weight cannot be empty tensor.[%s:%d][%s][%s][%ld] %sThe input of ConvolutionBackward is Empty.[%s:%d][%s][%s][%ld] errno[%d] %sConvolutionBackward only support zero batch or zero channel with input, but got input shape is %sConvolutionBackward only support zero batch or zero channel with input, but got input shape is %sCheckEmptyTensor(inputTensor, params)[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, weight with ZerosLike return nullptr.The calculation with empty tensor failed, weight with ZerosLike return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, weight with ViewCopy return nullptr.The calculation with empty tensor failed, weight with ViewCopy return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, bias with ZerosLike return nullptr.The calculation with empty tensor failed, bias with ZerosLike return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe calculation with empty tensor failed, bias with ViewCopy return nullptr.The calculation with empty tensor failed, bias with ViewCopy return nullptr.[%s:%d][%s][%s][%ld] %sEntering CalculateConvolutionBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv1DBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv1DTransposeBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv2DBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv2DTransposeBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv3DBackward[%s:%d][%s][%s][%ld] %sEntering CalculateConv3DTransposeBackward[%s:%d][%s][%s][%ld] errno[%d] %sConvolutionBackward only support input with dimensions 3, 4, or 5, Actually is %ld.ConvolutionBackward only support input with dimensions 3, 4, or 5, Actually is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sThe output viewprocess failed, gradInput with ViewCopy return nullptr.The output viewprocess failed, gradInput with ViewCopy return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe output viewprocess failed, gradWeight with ViewCopy return nullptr.The output viewprocess failed, gradWeight with ViewCopy return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe output viewprocess failed, gradBias with ViewCopy return nullptr.The output viewprocess failed, gradBias with ViewCopy return nullptr.[%s:%d][%s][%s][%ld] %sAfter CalculateConvolutionBackwardDFX_IN(self, input, weight, bias, pad, cubeMathType)[%s:%d][%s][%s][%ld] %sEntering CalculateConvolutionTbcBackwardWithEmpty[%s:%d][%s][%s][%ld] %sEntering CalculateConvolutionTbcBackward[%s:%d][%s][%s][%ld] errno[%d] %sConvolutionTbcBackward only support input with dimensions 3, Actually is %ld.ConvolutionTbcBackward only support input with dimensions 3, Actually is %ld.aclnnConvTbcBackwardaclnnConvTbcBackwardaclnnConvolutionBackwardaclnnConvolutionBackwardCalculateConvolutionTbcBackwardPermuteCalculateConvolutionTbcBackwardWithEmptyCheckTbcShapeCheckTbcFormatCheckDtypeValidBf16AllowedCheckTbcParamsAddParamToBufOpDfxGuardaclnnConvTbcBackwardGetWorkspaceSizeaclnnConvTbcBackwardGetWorkspaceSize~UniqueExecutorOutputViewProcessCalculateConv3DTransposeBackwardCalculateConv3DBackwardCalculateConv2DTransposeBackwardOutputPostProcessIsInputSupportFp32InputPreProcessCalculateBiasGradCalculateConv2DBackwardCalculateConv1DTransposeBackwardView3dView4dView1dAs2dCalculateConv1DBackwardCalculateConvolutionBackwardCalculateConvolutionBackwardWithEmptyCheckEmptyTensorCheckFormatValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnConvolutionBackwardGetWorkspaceSizeaclnnConvolutionBackwardGetWorkspaceSizeIsInputSupportInsertDilationCalculateConv2DBackpropInputaclnnInplaceCopyaclnn_copy.cppDFX_IN(selfRef, src)CheckNotNull(self, src)CheckDtypeValid(self, src)CheckShape(self, src)srcContiguous != nullptrsrcCast != nullptrsrcBroadcast != nullptrviewcopyResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sShape of broadcast result should be %s, but self is %s.Shape of broadcast result should be %s, but self is %s.aclnnInplaceCopy~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceCopyGetWorkspaceSizeaclnnInplaceCopyGetWorkspaceSize   aclnnCosaclnn_cos.cppaclnnInplaceCosaclnnInplaceCosaclnnCosOpDfxGuardaclnnInplaceCosGetWorkspaceSize~UniqueExecutorCheckShapeConsistentCheckDtypeValidIsNullptrCheckParamsExecCosGetWorkspaceSizeExecCosGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnCosGetWorkspaceSize       aclnnCoshaclnn_cosh.cppaclnnInplaceCoshaclnnInplaceCoshaclnnCosh~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnCoshGetWorkspaceSizeaclnnCoshGetWorkspaceSize         aclnnCtcLossaclnn_ctc_loss.cpplogProbstargetsnegLogLikelihoodOutlogAlphaOutinputLengthstargetLengthslogProbsContiguous != nullptrtargetsContiguous != nullptrviewCopyResult2 != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of targets [%zu] must equal 1 or 2.DimNum of targets [%zu] must equal 1 or 2.[%s:%d][%s][%s][%ld] errno[%d] %sTarget's shape expect [%ld, >=%ld], but get current shape %s.Target's shape expect [%ld, >=%ld], but get current shape %s.[%s:%d][%s][%s][%ld] errno[%d] %sTarget's shape expect [%ld], but get current shape %s.Target's shape expect [%ld], but get current shape %s.[%s:%d][%s][%s][%ld] errno[%d] %sShape of negLogLikelihoodOut %s must equal %s.Shape of negLogLikelihoodOut %s must equal %s.[%s:%d][%s][%s][%ld] errno[%d] %sShape of logAlphaOut %s must equal %s.Shape of logAlphaOut %s must equal %s.[%s:%d][%s][%s][%ld] errno[%d] %sstart (0) + length (1) exceeds dimension size (0).start (0) + length (1) exceeds dimension size (0).[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of logProbs [%zu] must equal 3.DimNum of logProbs [%zu] must equal 3.[%s:%d][%s][%s][%ld] errno[%d] %sAttr parameter blank %ld must be greater than or equal to 0 and less than %ld.Attr parameter blank %ld must be greater than or equal to 0 and less than %ld.[%s:%d][%s][%s][%ld] errno[%d] %sInputlengths's size [%ld] must equal to [%ld], and max value [%ld] must be less than or equal to [%ld].Inputlengths's size [%ld] must equal to [%ld], and max value [%ld] must be less than or equal to [%ld].[%s:%d][%s][%s][%ld] errno[%d] %stargetLengths's size [%ld] must equal to [%ld].targetLengths's size [%ld] must equal to [%ld].DFX_IN(logProbs, targets, inputLengths, targetLengths, blank, zeroInfinity)DFX_OUT(negLogLikelihoodOut, logAlphaOut)CheckNotNull(logProbs, targets, inputLengths, targetLengths, negLogLikelihoodOut, logAlphaOut)CheckDtypeValid(logProbs, targets, negLogLikelihoodOut, logAlphaOut)CheckShapeAndParameterValue(logProbs, targets, inputLengths, targetLengths, blank, negLogLikelihoodOut, logAlphaOut, maxTargetLengths)targetsContiguousCasted != nullptrCheckTupleNullptr(ctcLossV2OpOut)aclnnCtcLoss~UniqueExecutorCheckTargetAndOutShapeParameterValueCheckShapeAndParameterValueCheckDtypeValidCheckParamsIsNullptrIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCtcLossGetWorkspaceSizeaclnnCtcLossGetWorkspaceSize  aclnnCtcLossBackwardaclnn_ctc_loss_backward.cppnegLogLikelihoodlogAlphalogAlphaContiguous != nullptrctcLossV2GradOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of gradOut [%zu] must equal [1].DimNum of gradOut [%zu] must equal [1].[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of negLogLikelihood [%zu] must equal [1].DimNum of negLogLikelihood [%zu] must equal [1].[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of logAlpha [%zu] must equal 3.DimNum of logAlpha [%zu] must equal 3.DFX_IN(gradOut, logProbs, targets, inputLengths, targetLengths, negLogLikelihood, logAlpha, blank, zeroInfinity)CheckNotNull(gradOut, logProbs, targets, inputLengths, targetLengths, negLogLikelihood, logAlpha, out)CheckDtypeValid(gradOut, logProbs, targets, negLogLikelihood, logAlpha, out)CheckShapeAndParameterValue(gradOut, logProbs, targets, inputLengths, targetLengths, negLogLikelihood, logAlpha, blank, out)negLogLikelihoodContiguous != nullptraclnnCtcLossBackward~UniqueExecutorCheckTargetAndOutShapeParameterValueCheckShapeAndParameterValueCheckDtypeValidCheckParamsIsNullptrIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCtcLossBackwardGetWorkspaceSizeaclnnCtcLossBackwardGetWorkspaceSize  aclnnCummaxaclnn_cummax.cppvaluesOutindicesOutDFX_IN(self, dim)valuesResult != nullptrindicesResult != nullptrvaluesCastResult != nullptrDFX_OUT(valuesOut, indicesOut)CheckNotNull(self, valuesOut, indicesOut)[%s:%d][%s][%s][%ld] errno[%d] %sdimension specified as %ld but tensor has not dimensions.dimension specified as %ld but tensor has not dimensions.CheckDtypeValid(self, valuesOut, indicesOut)CheckShape(self, valuesOut, indicesOut)valuesViewCopyResult != nullptrindicesViewCopyResult != nullptraclnnCummax~UniqueExecutorCheckShapeCheckDtypeValidCheckDimValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCummaxGetWorkspaceSizeaclnnCummaxGetWorkspaceSize    aclnnCumminaclnn_cummin.cppindicesCastResult != nullptrvaluesResultTranspose != nullptrindicesResultTranspose != nullptraclnnCummin~UniqueExecutorExecCumminCheckShapeCheckDtypeValidCheckDimValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCumminGetWorkspaceSizeaclnnCumminGetWorkspaceSize    aclnnCumsumaclnn_cumsum.cppaclnnCumsumV2CheckDtypeValid(dtype, out)dimTensor != nullptrcumsumOut != nullptrDFX_IN(self, dim, dtype)[%s:%d][%s][%s][%ld] errno[%d] %sexpected dim to be in range of [%ld, %ld], but got %ld.expected dim to be in range of [%ld, %ld], but got %ld.DFX_IN(self, dim, exclusive, reverse)CheckDtypeValidWithoutDtype(self, out)aclnnCumsumV2CheckDtypeValidWithoutDtypeCheckParamsWithoutDtypeAddParamToBufOpDfxGuardaclnnCumsumV2GetWorkspaceSizeaclnnCumsumV2GetWorkspaceSizeaclnnCumsum~UniqueExecutorCheckDimCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnCumsumGetWorkspaceSizeaclnnCumsumGetWorkspaceSize    aclnnDiagaclnn_diag.cppDFX_IN(self, diagonal)diagOpOut != nullptraclnnDiag~UniqueExecutorFillScalarCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDiagGetWorkspaceSizeaclnnDiagGetWorkspaceSize    aclnnDiagFlataclnn_diag_flat.cppdiagFlatOut != nullptraclnnDiagFlat~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDiagFlatGetWorkspaceSizeaclnnDiagFlatGetWorkspaceSize    aclnnDigammaaclnn_digamma.cppdigammaResult != nullptraclnnDigamma~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnDigammaGetWorkspaceSizeaclnnDigammaGetWorkspaceSize aclnnDivaclnn_div.cppaclnnDivsaclnnDivModaclnnDivModsaclnnInplaceDivaclnnInplaceDivsaclnnInplaceDivModaclnnInplaceDivModsotherConvert != nullptrDFX_IN(self, other, mode)CheckNotNullScalar(self, other, y)CheckDtypeValidScalar(self, other)CheckPromoteTypeScalar(self, y)[%s:%d][%s][%s][%ld] errno[%d] %sExpected selfRef not to be null.Expected selfRef not to be null.[%s:%d][%s][%s][%ld] errno[%d] %sExpected other not to be null.Expected other not to be null.[%s:%d][%s][%s][%ld] errno[%d] %sShape of selfRef and other can't broadcast, got %s, %s.Shape of selfRef and other can't broadcast, got %s, %s.aclnnInplaceDivModsaclnnInplaceDivModaclnnInplaceDivModGetWorkspaceSizeaclnnInplaceDivsaclnnInplaceDivCheckInplaceaclnnInplaceDivGetWorkspaceSizeaclnnDivModsOpDfxGuardaclnnDivModsGetWorkspaceSizeaclnnDivModsGetWorkspaceSizeaclnnDivModAddParamToBufOpDfxGuardaclnnDivModGetWorkspaceSizeaclnnDivModGetWorkspaceSizeaclnnDivsCheckShapeScalarCheckPromoteTypeScalarCheckDtypeValidScalarIsNullptrCheckParamsScalarOpDfxGuardaclnnDivsGetWorkspaceSizeaclnnDivsGetWorkspaceSizeaclnnDiv~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnDivGetWorkspaceSizeaclnnDivGetWorkspaceSize    aclnnDotaclnn_dot.cppCheckShape(self, tensor, out)DFX_IN(self, tensor)dimScalar != nullptroutShape != nullptrvalueScalar != nullptrcontiguousTensor != nullptrdotOut != nullptrCheckNotNull(self, tensor, out)CheckDtypeValid(self, tensor, out)[%s:%d][%s][%s][%ld] errno[%d] %sexpected 1D input tensors, but got %s and %s tensors.expected 1D input tensors, but got %s and %s tensors.[%s:%d][%s][%s][%ld] errno[%d] %sexpected consistent tensor size, but got %s and %s tensors.expected consistent tensor size, but got %s and %s tensors.[%s:%d][%s][%s][%ld] errno[%d] %sexpected 0D output tensor, but got %s tensor.expected 0D output tensor, but got %s tensor.aclnnDot~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnDotGetWorkspaceSizeaclnnDotGetWorkspaceSizeaclnnDropoutaclnn_dropout.cppdropout != nullptroutTensorTemp != nullptrmaskOutDFX_OUT(out, maskOut)CheckProbability(p)mask != nullptrdoMaskOut != nullptrmaskViewCopyResult != nullptrDFX_IN(input, p, train, seed, offset)CheckNotNull(input, out, maskOut)CheckDtypeValid(input, out, maskOut)[%s:%d][%s][%s][%ld] errno[%d] %sThe value of p has to be between 0 and 1, but current is %f.The value of p has to be between 0 and 1, but current is %f.[%s:%d][%s][%s][%ld] errno[%d] %sSize of maskOut has to be %ld, but current is %ld.Size of maskOut has to be %ld, but current is %ld.CheckShape(input, out, maskOut)aclnnDropout~UniqueExecutorComputeMaskCheckShapeCheckProbabilityCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDropoutGetWorkspaceSizeaclnnDropoutGetWorkspaceSizeaclnnDropoutBackwardaclnn_dropout_backward.cppCheckProbability(scale)maskContiguous != nullptrDFX_IN(gradOutput, mask, scale)CheckNotNull(gradOutput, mask, out)CheckDtypeValid(gradOutput, mask, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe value of scale is error, p = (scale == 0.0) ? 1 : (1 - 1 / scale) has to be between 0 and 1, but got scale %f.The value of scale is error, p = (scale == 0.0) ? 1 : (1 - 1 / scale) has to be between 0 and 1, but got scale %f.CheckShape(gradOutput, mask, out)aclnnDropoutBackward~UniqueExecutorCheckShapeCheckProbabilityCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDropoutBackwardGetWorkspaceSizeaclnnDropoutBackwardGetWorkspaceSizeaclnnDropoutDoMaskaclnn_dropout_do_mask.cppDFX_IN(self, mask, prob)CheckNotNull(self, mask, out)CheckProbability(prob)CheckShape(self, mask, out)CheckDtypeValid(self, mask, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe value of prob has to be between 0 and 1, but current is %f.The value of prob has to be between 0 and 1, but current is %f.[%s:%d][%s][%s][%ld] errno[%d] %sSize of mask has to be %ld, but current is %ld.Size of mask has to be %ld, but current is %ld.aclnnDropoutDoMask~UniqueExecutorCheckShapeCheckProbabilityCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDropoutDoMaskGetWorkspaceSizeaclnnDropoutDoMaskGetWorkspaceSizeaclnnDropoutGenMaskaclnn_dropout_gen_mask.cppaclnnDropoutGenMaskV2CheckNotNull(shape, out)CheckDtypeValid(out)CheckShape(shape, out)[%s:%d][%s][%s][%ld] errno[%d] %sSize of out has to be %ld, but current is %ld.Size of out has to be %ld, but current is %ld.[%s:%d][%s][%s][%ld] %sprob %f dtype %d[%s:%d][%s][%s][%ld] errno[%d] %sinvalid dtype, must be bfloat16 or float16 or float32.invalid dtype, must be bfloat16 or float16 or float32.DFX_IN(shape, prob, seed, offset, probDataType)DFX_IN(shape, prob, seed, offset)aclnnDropoutGenMaskV2ComputeMaskV2OpDfxGuardaclnnDropoutGenMaskV2GetWorkspaceSizeaclnnDropoutGenMaskV2GetWorkspaceSizeaclnnDropoutGenMask~UniqueExecutorCreateDropoutComputeMaskFillScalarCheckShapeCheckProbabilityCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnDropoutGenMaskGetWorkspaceSizeaclnnDropoutGenMaskGetWorkspaceSizeabcea,b->ab[%s:%d][%s][%s][%ld] errno[%d] %stensor0 shape dim0 [%ld] and tensor1 shape dim0 [%ld] should be sametensor0 shape dim0 [%ld] and tensor1 shape dim0 [%ld] should be same[%s:%d][%s][%s][%ld] errno[%d] %stensor0 shape dim1 [%ld] and tensor1 shape dim1 [%ld] should be sametensor0 shape dim1 [%ld] and tensor1 shape dim1 [%ld] should be same[%s:%d][%s][%s][%ld] errno[%d] %stensor0 shape dim2 [%ld] and tensor1 shape dim2 [%ld] should be sametensor0 shape dim2 [%ld] and tensor1 shape dim2 [%ld] should be same[%s:%d][%s][%s][%ld] errno[%d] %stensor0 shape dim3 [%ld] and tensor1 shape dim4 [%ld] should be sametensor0 shape dim3 [%ld] and tensor1 shape dim4 [%ld] should be sameCheckDtypeValid(tensors, output)[%s:%d][%s][%s][%ld] %sinvalid tensor number [%ld], should be 2CheckTensorValid(tensors, output)[%s:%d][%s][%s][%ld] %soriginal equation: [%s][%s:%d][%s][%s][%ld] %sreordered equation: [%s][%s:%d][%s][%s][%ld] errno[%d] %sfailed to match equation [%s]aclnnEinsumEquationUnificationCheckTensorValidCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnEinsumGetWorkspaceSizeaclnnEinsumGetWorkspaceSizeHandleAxB2ABHandleAxB2AB~UniqueExecutorHandleABCDxABCED2ABCEHandleABCDxABCED2ABCE      aclnnEluaclnn_elu.cppaclnnInplaceEluinputScale[%s:%d][%s][%s][%ld] errno[%d] %sscale dtype %s can not cast to float32.scale dtype %s can not cast to float32.[%s:%d][%s][%s][%ld] errno[%d] %sinputScale dtype %s can not cast to float32.inputScale dtype %s can not cast to float32.CheckNotNull(self, alpha, scale, inputScale, out)CheckDtypeValid(self, alpha, scale, inputScale, out)DFX_IN(self, alpha, scale, inputScale)DFX_IN(selfRef, alpha, scale, inputScale)aclnnInplaceEluOpDfxGuardaclnnInplaceEluGetWorkspaceSizeaclnnElu~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnEluGetWorkspaceSize aclnnEluBackwardaclnn_elu_backward.cppselfOrResulteluGradV2Out != nullptrDFX_IN(gradOutput, alpha, scale, inputScale, isResult, selfOrResult)CheckNotNull(gradOutput, alpha, scale, inputScale, selfOrResult, gradInput)CheckDtypeValid(gradOutput, alpha, scale, inputScale, selfOrResult, gradInput)CheckShape(gradOutput, selfOrResult, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sIn-place elu backward calculation is triggered with a negative slope which is not supported. This is caused by calling in-place forward function with a negative slope, please call out-of-place version instead.In-place elu backward calculation is triggered with a negative slope which is not supported. This is caused by calling in-place forward function with a negative slope, please call out-of-place version instead.CheckAttributeValue(alpha, isResult)contiguousGradOutput != nullptrcontiguousSelfOrResult != nullptraclnnEluBackward~UniqueExecutorCheckAttributeValueCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnEluBackwardGetWorkspaceSizeaclnnEluBackwardGetWorkspaceSizeaclnnEmbeddingaclnn_embedding.cppCheckDimension(out, indices)DFX_IN(weight, indices)indicesContiguous != nullptrembeddingResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sout dim [%zu] should be one larger than indices dim [%zu].out dim [%zu] should be one larger than indices dim [%zu].[%s:%d][%s][%s][%ld] errno[%d] %sout shape [%s] is not match with indices shape [%s].out shape [%s] is not match with indices shape [%s].CheckNotNull(weight, indices, out)CheckDtypeValid(weight, indices, out)CheckMaxDimension(weight, indices, out)aclnnEmbedding~UniqueExecutorCheckDimensionCheckMaxDimensionCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnEmbeddingGetWorkspaceSizeaclnnEmbeddingGetWorkspaceSize      aclnnEmbeddingBagaclnn_embedding_bag.cppoffsetsoffset2bagbagSizemaxIndicesperSampleWeightsoffset2bagL0Cast != nullptrbagSizeL0Cast != nullptrmaxIndicesL0Cast != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sindices or offsets must has one dtype in [int32, int64], but get indices dtype %s, offsets dtype %s.indices or offsets must has one dtype in [int32, int64], but get indices dtype %s, offsets dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sperSampleWeights dtype %s should be in same with weight dtype %s.perSampleWeights dtype %s should be in same with weight dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %soutput dtype %s should be in same with weight dtype %s.output dtype %s should be in same with weight dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sper_sample_weights only supported with mode='sum'per_sample_weights only supported with mode='sum'[%s:%d][%s][%s][%ld] errno[%d] %sExpected indices->GetViewShape().GetShapeSize() == perSampleWeights->GetViewShape().GetShapeSize() to be true, but got falseExpected indices->GetViewShape().GetShapeSize() == perSampleWeights->GetViewShape().GetShapeSize() to be true, but got false[%s:%d][%s][%s][%ld] errno[%d] %soffset2bag shape size should be %ld,but got %ld.offset2bag shape size should be %ld,but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sbagSize shape size should be %ld,but got %ld.bagSize shape size should be %ld,but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sbagSize shape size should be %ld, but got %ld.bagSize shape size should be %ld, but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %smaxIndices shape size should be %ld, but got %ld.maxIndices shape size should be %ld, but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %smaxIndices shape size should be %ld,but got %ld.maxIndices shape size should be %ld,but got %ld.DFX_IN(weight, indices, offsets, scaleGradByFreq, mode, sparse, perSampleWeights, includeLastOffset, paddingIdx)DFX_OUT(output, offset2bag, bagSize, maxIndices)CheckNotNull(weight, indices, offsets, output, offset2bag, bagSize, maxIndices)CheckDtypeValid(weight, indices, offsets, perSampleWeights, output, offset2bag, bagSize, maxIndices)CheckDims(weight, indices, offsets, perSampleWeights, modeStr, output, offset2bag, bagSize, maxIndices)CheckShape(weight, indices, offsets, perSampleWeights, modeStr, includeLastOffset, output, offset2bag, bagSize, maxIndices)weightContiguous != nullptr && indicesContiguous != nullptr && offsetsContiguous != nullptrperSampleWeightsContiguous != nullptrindicesCast != nullptr && offsetsCast != nullptrviewCopyoffset2bagL0CastResult != nullptrviewCopyOutputResult != nullptr && viewCopyMaxIndicesL0CastResult != nullptr && viewCopyBagSizeL0CastResult != nullptrbasic_string::assignaclnnEmbeddingBag~UniqueExecutorCheckShapeCheckDimsCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnEmbeddingBagGetWorkspaceSizeaclnnEmbeddingBagGetWorkspaceSize  aclnnEmbeddingDenseBackwardCheckDimension(grad, indices)gradCasted != nullptraclnn_embedding_dense_backward.cppDFX_IN(grad, indices, numWeights, paddingIdx, scaleGradByFreq)CheckNotNull(grad, indices, out)CheckDtypeValid(grad, indices, out)[%s:%d][%s][%s][%ld] errno[%d] %sgrad dim [%zu] should be one larger than indices dim [%zu].grad dim [%zu] should be one larger than indices dim [%zu].[%s:%d][%s][%s][%ld] errno[%d] %sgrad shape [%s] is not match with indices shape [%s].grad shape [%s] is not match with indices shape [%s].CheckMaxDimension(grad) && CheckMaxDimension(indices) && CheckMaxDimension(out)embeddingDenseBackwardResult != nullptraclnnEmbeddingDenseBackward~UniqueExecutorCheckDimensionCheckMaxDimensionCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnEmbeddingDenseBackwardGetWorkspaceSizeaclnnEmbeddingDenseBackwardGetWorkspaceSize  aclnnEmbeddingRenormaclnn_embedding_renorm.cppCheckNotNull(self, indices)CheckSelfDim(self)indicesReshape != nullptrselfRefContiguous != nullptrfirstGatherV2 != nullptrrenorm != nullptrindicesTensor != nullptrsecondGatherV2 != nullptrupdate != nullptrCheckDtypeValid(self, indices)[%s:%d][%s][%s][%ld] errno[%d] %sEmbedding_Renorm: Except 2-dimension Tensor but got [%s]-dimension Tensor.Embedding_Renorm: Except 2-dimension Tensor but got [%s]-dimension Tensor.CheckIndicesDimension(indices)CheckMaxNormNotNegative(maxNorm)DFX_IN(selfRef, indices, maxNorm, normType)embeddingRenormScatterUpdate != nullptraclnnEmbeddingRenorm~UniqueExecutorCheckIndicesDimensionCheckSelfDimCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnEmbeddingRenormGetWorkspaceSizeaclnnEmbeddingRenormGetWorkspaceSize aclnnEqScalaraclnn_eq_scalar.cppaclnnInplaceEqScalarequalResult != nullptrCheckDtypeValid(self, other, out)aclnnInplaceEqScalaraclnnEqScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnEqScalarGetWorkspaceSizeaclnnEqScalarGetWorkspaceSize     aclnnEqTensoraclnn_eq_tensor.cppaclnnInplaceEqTensorequalOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe current soc version does not support the DT_BF16 data type.The current soc version does not support the DT_BF16 data type.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and other dtype %s get promoteType dtype %s should be in dtype support list [%s].Self dtype %s and other dtype %s get promoteType dtype %s should be in dtype support list [%s].aclnnInplaceEqTensoraclnnEqTensorCheckInplaceaclnnInplaceEqTensorGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidCheckParamsIsNullptrSplitStringAndPrintOpDfxGuardaclnnEqTensorGetWorkspaceSizeaclnnEqTensorGetWorkspaceSize     aclnnEqualaclnn_equal.cppCheckMaxShape(self, other, out)aclnnEqual~UniqueExecutorCheckMaxShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnEqualGetWorkspaceSizeaclnnEqualGetWorkspaceSize    aclnnErfaclnn_erf.cppaclnnInplaceErferfResult != nullptrcastErfResult != nullptraclnnInplaceErfOpDfxGuardaclnnInplaceErfGetWorkspaceSizeaclnnErf~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnErfGetWorkspaceSize   aclnnErfcaclnn_erfc.cppaclnnInplaceErfcerfcResult != nullptrcastErfcResult != nullptraclnnInplaceErfcaclnnErfc~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnErfcGetWorkspaceSizeaclnnErfcGetWorkspaceSize    aclnnErfinvaclnn_erfinv.cppaclnnInplaceErfinverfinvResult != nullptraclnnInplaceErfinvaclnnErfinv~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnErfinvGetWorkspaceSizeaclnnErfinvGetWorkspaceSize  aclnnExpaclnn_exp.cppaclnnInplaceExpexpOut != nullptraclnnInplaceExpOpDfxGuardaclnnInplaceExpGetWorkspaceSizeaclnnExp~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnExpGetWorkspaceSize    aclnnExp2aclnn_exp2.cppaclnnInplaceExp2selfAfterCast != nullptrbaseValueTensor != nullptrexp2Out != nullptraclnnInplaceExp2OpDfxGuardaclnnInplaceExp2GetWorkspaceSizeaclnnExp2~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnExp2GetWorkspaceSize      aclnnExpandaclnn_expand.cppDFX_IN(self, size)CheckNotNull(self, size, out)CheckShape(self, size, out)[%s:%d][%s][%s][%ld] errno[%d] %sthe number of size %zu must be greater or equal to the number of dimensions in the self %zu.the number of size %zu must be greater or equal to the number of dimensions in the self %zu.[%s:%d][%s][%s][%ld] errno[%d] %sthe self shape [%s] is not match size [%s].the self shape [%s] is not match size [%s].[%s:%d][%s][%s][%ld] errno[%d] %sexpect out shape to be same as expectShape, but got out shape [%s], expect shape [%s]expect out shape to be same as expectShape, but got out shape [%s], expect shape [%s]CheckMaxDimension(self) && CheckMaxDimension(out)aclnnExpand~UniqueExecutorCheckMaxDimensionCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnExpandGetWorkspaceSizeaclnnExpandGetWorkspaceSize  aclnnExpm1aclnn_expm1.cppaclnnInplaceExpm1expm1Result != nullptroutCasted != nullptraclnnInplaceExpm1OpDfxGuardaclnnInplaceExpm1GetWorkspaceSizeaclnnExpm1SplitStringAndPrintOpDfxGuardaclnnExpm1GetWorkspaceSize~UniqueExecutorCheckDtypeValidCheckShapeIsNullptrCheckParamsaclnnExpm1CommonaclnnExpm1Common  aclnnEyeaclnn_eye.cppCheckNotNull(out)CheckShape(out, n, m)DFX_IN(n, m)eyeResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected out to be 2-D tensor, but the dimension of out is %zu.Expected out to be 2-D tensor, but the dimension of out is %zu.[%s:%d][%s][%s][%ld] errno[%d] %sn must be greater or equal to 0, got %ldn must be greater or equal to 0, got %ld[%s:%d][%s][%s][%ld] errno[%d] %sm must be greater or equal to 0, got %ldm must be greater or equal to 0, got %ld[%s:%d][%s][%s][%ld] errno[%d] %sExpected out shape to be (%ld, %ld), but got %s.Expected out shape to be (%ld, %ld), but got %s.aclnnEye~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnEyeGetWorkspaceSizeaclnnEyeGetWorkspaceSize zeroPointscale should be a 1-D tensorDFX_OUT(out, mask)scaleCasted != nullptrselfTranspose != nullptrfakeCastOut != nullptrfakeViewCopyResult != nullptraclnnFakeQuantPerChannelAffineCachemaskaclnn_fake_quant_per_channel_affine_cachemask.cpp[%s:%d][%s][%s][%ld] errno[%d] %sscale should be a 1-D tensor[%s:%d][%s][%s][%ld] errno[%d] %szero point should be a 1-D tensorzero point should be a 1-D tensor[%s:%d][%s][%s][%ld] errno[%d] %sscale and zeroPoint need to have the same dimensionsscale and zeroPoint need to have the same dimensions[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [-1, 0], but got %ld)Dimension out of range (expected to be in range of [-1, 0], but got %ld)[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [-%ld, %ld],but got %ld)Dimension out of range (expected to be in range of [-%ld, %ld],but got %ld)[%s:%d][%s][%s][%ld] errno[%d] %sdimensions of scale and zero-point are not consistant with input tensordimensions of scale and zero-point are not consistant with input tensorDFX_IN(self, scale, zeroPoint, axis, quantMin, quantMax)CheckNotNull(self, scale, zeroPoint, out, mask)CheckDtypeValid(self, scale, zeroPoint, out, mask)CheckShape(self, scale, zeroPoint, axis, out, mask)[%s:%d][%s][%s][%ld] errno[%d] %s`quantMin` should be less than or equal to `quantMax`.`quantMin` should be less than or equal to `quantMax`.CheckQuantValue(quantMin, quantMax)fakeOut != nullptr && maskOut!= nullptrfakeQuantOut != nullptr && fakeQuantMask!= nullptraclnnFakeQuantPerChannelAffineCachemask~UniqueExecutorCheckQuantValueCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnFakeQuantPerChannelAffineCachemaskGetWorkspaceSizeaclnnFakeQuantPerChannelAffineCachemaskGetWorkspaceSizeexpectShape != nullptrscaleBroadcast != nullptrzeroPointBroadcast != nullptraclnnFakeQuantPerTensorAffineCachemaskaclnn_fake_quant_per_tensor_affine_cachemask.cpp[%s:%d][%s][%s][%ld] errno[%d] %sscale: a Tensor with %ld elements cannot be converted to Scalarscale: a Tensor with %ld elements cannot be converted to Scalar[%s:%d][%s][%s][%ld] errno[%d] %szeroPoint: a Tensor with %ld elements cannot be converted to ScalarzeroPoint: a Tensor with %ld elements cannot be converted to ScalarDFX_IN(self, scale, zeroPoint, fakeQuantEnbled, quantMin, quantMax)CheckShape(self, scale, zeroPoint, out, mask)aclnnFakeQuantPerTensorAffineCachemask~UniqueExecutorCheckQuantValueCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnFakeQuantPerTensorAffineCachemaskGetWorkspaceSizeaclnnFakeQuantPerTensorAffineCachemaskGetWorkspaceSizeaclnn_ffn.cppffnParams.scale == nullptrffnParams.offset == nullptrreformatedTensor != nullptrffnParams.bias1ffnParams.bias2aclnnFFNaclnnFFNV2weight dtype must be INT4.fastgeluffnParams.weight2ffnParams.weight1ffnParams.scaleffnParams.offsetffnParams.deqScale1ffnParams.deqScale2ffnParams.xffnParams.antiquantScale1ffnParams.antiquantScale2ffnParams.antiquantOffset1ffnParams.antiquantOffset2falseffnParams.yDetected xDtype is not right!CheckNotNull(ffnParams)CheckY(ffnParams)CheckBias(ffnParams)ffnResult != nullptrdeqScale2XdeqScale1XDFX_OUT(ffnParams.y)silugegluswigluregluffnParams.antiquantScale1 == nullptrffnParams.antiquantScale2 == nullptrffnParams.antiquantOffset1 == nullptrffnParams.antiquantOffset2 == nullptrffnParams.deqScale1 == nullptrffnParams.deqScale2 == nullptr[%s:%d][%s][%s][%ld] %sNo need to do contiguous processTensorContiguousProcess(tensor, reformatedTensor, executor) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %s%s DimNum dim should be (2: has experts, 1: no experts), %s DimNum dim is %zu%s DimNum dim should be (2: has experts, 1: no experts), %s DimNum dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %s%s last dim should be %zu, but %s last dim is %zu%s last dim should be %zu, but %s last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %s%s first dim should be %zu, but %s first dim is %zu%s first dim should be %zu, but %s first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sThis is an error in FFN launch aicoreThis is an error in FFN launch aicore[%s:%d][%s][%s][%ld] errno[%d] %sscale length should be %zu, but scale length is %zuscale length should be %zu, but scale length is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScaleDtype should be UINT64, bfloat16 and INT64 in scale per-channel mode, others are not supported.deqScaleDtype should be UINT64, bfloat16 and INT64 in scale per-channel mode, others are not supported.[%s:%d][%s][%s][%ld] errno[%d] %sscale dimNum should be 1 and dimValue should be equal to n1 or 1 when no experts, but currently dimNum is %zu, dimValue is %zuscale dimNum should be 1 and dimValue should be equal to n1 or 1 when no experts, but currently dimNum is %zu, dimValue is %zu[%s:%d][%s][%s][%ld] errno[%d] %soffset length should be %zu, but offset length is %zuoffset length should be %zu, but offset length is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale1 first dim should be %zu, but antiquantScale1 first dim is %zuantiquantScale1 first dim should be %zu, but antiquantScale1 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset1 first dim should be %zu, but antiquantOffset1 first dim is %zuantiquantOffset1 first dim should be %zu, but antiquantOffset1 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale2 first dim should be %zu, but antiquantScale2 first dim is %zuantiquantScale2 first dim should be %zu, but antiquantScale2 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset2 first dim should be %zu, but antiquantOffset2 first dim is %zuantiquantOffset2 first dim should be %zu, but antiquantOffset2 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale1 DimNum should be (2: has experts, 1: no experts), but deqScale1 DimNum is %zudeqScale1 DimNum should be (2: has experts, 1: no experts), but deqScale1 DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale2 DimNum should be (2: has experts, 1: no experts), but deqScale2 DimNum is %zudeqScale2 DimNum should be (2: has experts, 1: no experts), but deqScale2 DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %soffset DimNum should be 1, but offset DimNum is %zuoffset DimNum should be 1, but offset DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale1 last dim should be %zu, but deqScale1 last dim is %zudeqScale1 last dim should be %zu, but deqScale1 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale2 last dim should be %zu, but deqScale2 last dim is %zudeqScale2 last dim should be %zu, but deqScale2 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sDetected quant scale and offset params dim num or shape is not right!Detected quant scale and offset params dim num or shape is not right![%s:%d][%s][%s][%ld] errno[%d] %sdeqScale1 first dim should be %zu, but deqScale1 first dim is %zudeqScale1 first dim should be %zu, but deqScale1 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale2 first dim should be %zu, but deqScale2 first dim is %zudeqScale2 first dim should be %zu, but deqScale2 first dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale1 DimNum should be (3 or 2: has experts, 2 or 1: no experts), but DimNum is %zuantiquantScale1 DimNum should be (3 or 2: has experts, 2 or 1: no experts), but DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset1 DimNum should be equal to antiquantScale1, but antiquantOffset1 DimNum is %zuantiquantOffset1 DimNum should be equal to antiquantScale1, but antiquantOffset1 DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale2 DimNum should be equal to antiquantScale1, but antiquantScale2 DimNum is %zuantiquantScale2 DimNum should be equal to antiquantScale1, but antiquantScale2 DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset2 DimNum should be equal to antiquantScale2, but antiquantOffset2 DimNum is %zuantiquantOffset2 DimNum should be equal to antiquantScale2, but antiquantOffset2 DimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %swhen w1 is int4, the last dimension of the shape N1 %zu should be an even number!when w1 is int4, the last dimension of the shape N1 %zu should be an even number![%s:%d][%s][%s][%ld] errno[%d] %swhen w2 is int4, the last dimension of the shape N2 %zu should be an even number!when w2 is int4, the last dimension of the shape N2 %zu should be an even number![%s:%d][%s][%s][%ld] errno[%d] %santiquantScale1 last dim should be %zu, but antiquantScale1 last dim is %zuantiquantScale1 last dim should be %zu, but antiquantScale1 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset1 last dim should be %zu, but antiquantOffset1 last dim is %zuantiquantOffset1 last dim should be %zu, but antiquantOffset1 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale2 last dim should be %zu, but antiquantScale2 last dim is %zuantiquantScale2 last dim should be %zu, but antiquantScale2 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffset2 last dim should be %zu, but antiquantOffset2 last dim is %zuantiquantOffset2 last dim should be %zu, but antiquantOffset2 last dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant w is int4, shape N is not an even number!Detected antiquant w is int4, shape N is not an even number![%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant params shape E is not right!!Detected antiquant params shape E is not right!![%s:%d][%s][%s][%ld] errno[%d] %santiquantScale1GroupValue %zu must be greater than or equal to 1.antiquantScale1GroupValue %zu must be greater than or equal to 1.[%s:%d][%s][%s][%ld] errno[%d] %santiquantScale2GroupValue %zu must be greater than or equal to 1.antiquantScale2GroupValue %zu must be greater than or equal to 1.[%s:%d][%s][%s][%ld] errno[%d] %sweight1KDimValue %zu must be divisible by antiquantScale1GroupValue %zu, with no remainder.weight1KDimValue %zu must be divisible by antiquantScale1GroupValue %zu, with no remainder.[%s:%d][%s][%s][%ld] errno[%d] %sweight2KDimValue %zu must be divisible by antiquantScale2GroupValue %zu, with no remainder.weight2KDimValue %zu must be divisible by antiquantScale2GroupValue %zu, with no remainder.[%s:%d][%s][%s][%ld] errno[%d] %sweight dtype must be INT4.[%s:%d][%s][%s][%ld] %saclnnFFN activeType is %s.[%s:%d][%s][%s][%ld] errno[%d] %sthe activation type %s is invaild, now activation types supported by ffn are fastgelu, gelu, relu, silu, geglu, swiglu and regluthe activation type %s is invaild, now activation types supported by ffn are fastgelu, gelu, relu, silu, geglu, swiglu and reglu[%s:%d][%s][%s][%ld] errno[%d] %sDetected high precision, but quant inputs is not empty!Detected high precision, but quant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected high precision, but antiquant inputs is not empty!Detected high precision, but antiquant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected high precision, bias dtype is not right!Detected high precision, bias dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected high precision, GEGLU is not supported!Detected high precision, GEGLU is not supported![%s:%d][%s][%s][%ld] errno[%d] %sDetected quant input, but antiquant inputs is not empty!Detected quant input, but antiquant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected quant params dim num or shape is not right!Detected quant params dim num or shape is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected quant input, but quant inputs is not empty!Detected quant input, but quant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant input, but quant inputs is not empty!Detected antiquant input, but quant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected HighPerformance, bias dtype is not right!Detected HighPerformance, bias dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected AntiQuant, bias dtype is not right!Detected AntiQuant, bias dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant params dim num is not right!Detected antiquant params dim num is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant params shape is not right!Detected antiquant params shape is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant params per group num or weight dtype is not right!Detected antiquant params per group num or weight dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sx only support dtype float16 without expert tokens, but found %s.x only support dtype float16 without expert tokens, but found %s.[%s:%d][%s][%s][%ld] errno[%d] %sweight1 only support dtype float16 without expert tokens, but found %s.weight1 only support dtype float16 without expert tokens, but found %s.[%s:%d][%s][%s][%ld] errno[%d] %sweight2 only support dtype float16 without expert tokens, but found %s.weight2 only support dtype float16 without expert tokens, but found %s.CheckDtypeValidForFFNOp(ffnParams.x, ffnParams.weight1, ffnParams.weight2)[%s:%d][%s][%s][%ld] errno[%d] %sDetected glu, inner precision is not right!Detected glu, inner precision is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected glu, expert tokens should be nullptr, but current it is not nullptr!Detected glu, expert tokens should be nullptr, but current it is not nullptr![%s:%d][%s][%s][%ld] errno[%d] %sDetected glu, bias dtype is not right!Detected glu, bias dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sFFN bfloat16 is only support high precison now!FFN bfloat16 is only support high precison now![%s:%d][%s][%s][%ld] errno[%d] %sDetected QUANT, bias dtype is not right!Detected QUANT, bias dtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sDetected xDtype is not right![%s:%d][%s][%s][%ld] errno[%d] %sy's dimNum should be equal to x's dimNum, x dimNum is %zu, y dimNum is %zuy's dimNum should be equal to x's dimNum, x dimNum is %zu, y dimNum is %zu[%s:%d][%s][%s][%ld] errno[%d] %sx dim should within 2 ~ 8, but x dim is %zux dim should within 2 ~ 8, but x dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sweight1 DimNum dim should be (3: has experts, 2: no experts), weight1 DimNum dim is %zuweight1 DimNum dim should be (3: has experts, 2: no experts), weight1 DimNum dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sweight2 DimNum dim should be (3: has experts, 2: no experts), weight2 DimNum dim is %zuweight2 DimNum dim should be (3: has experts, 2: no experts), weight2 DimNum dim is %zu[%s:%d][%s][%s][%ld] errno[%d] %sx'KDimValue is not equal to weight1'kDimValue, x's kDimValue is %zu but weight's kDimValue is %zux'KDimValue is not equal to weight1'kDimValue, x's kDimValue is %zu but weight's kDimValue is %zu[%s:%d][%s][%s][%ld] errno[%d] %sweight1 NDimValue should be even number in glu case, but your weight1 NDimVakue is %zuweight1 NDimValue should be even number in glu case, but your weight1 NDimVakue is %zu[%s:%d][%s][%s][%ld] errno[%d] %sweight2 KDimValue should be equal to half of weight1 NDimValue in glu case, but your weight2 kDimValue is %zu and your weight1 NDimValue is %zuweight2 KDimValue should be equal to half of weight1 NDimValue in glu case, but your weight2 kDimValue is %zu and your weight1 NDimValue is %zu[%s:%d][%s][%s][%ld] errno[%d] %sweight1 NDimValue is not equal to weight2 kDimValue, weight1 NDimValue is %zu, but weight2 kDimValue is %zuweight1 NDimValue is not equal to weight2 kDimValue, weight1 NDimValue is %zu, but weight2 kDimValue is %zuCheckFmapWeightShape(ffnParams)[%s:%d][%s][%s][%ld] errno[%d] %snow activation types supported by ffn are fastgelu, gelu, relu, silu, please check activation.now activation types supported by ffn are fastgelu, gelu, relu, silu, please check activation.ffnParams.expertTokens == nullptrCheckHighPerformance(ffnParams) == ACLNN_SUCCESSffnParams.activationType != ActiveType::INVALID_TYPECheckOptionalParams(ffnParams) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %saclnnFFNGetWorkspaceSize and aclnnFFN are not supported on Ascend310P Soc. Please use aclnnFFNV2GetWorkspaceSize and aclnnFFNV2!aclnnFFNGetWorkspaceSize and aclnnFFN are not supported on Ascend310P Soc. Please use aclnnFFNV2GetWorkspaceSize and aclnnFFNV2!DFX_IN(ffnParams.x, ffnParams.weight1, ffnParams.weight2, ffnParams.expertTokens, ffnParams.bias1, ffnParams.bias2, ffnParams.scale, ffnParams.offset, ffnParams.deqScale1, ffnParams.deqScale2, ffnParams.antiquantScale1, ffnParams.antiquantScale2, ffnParams.antiquantOffset1, ffnParams.antiquantOffset2, activation, ffnParams.innerPrecise, -1, false)DFX_IN(ffnParams.x, ffnParams.weight1, ffnParams.weight2, ffnParams.expertTokens, ffnParams.bias1, ffnParams.bias2, ffnParams.scale, ffnParams.offset, ffnParams.deqScale1, ffnParams.deqScale2, ffnParams.antiquantScale1, ffnParams.antiquantScale2, ffnParams.antiquantOffset1, ffnParams.antiquantOffset2, activation, ffnParams.innerPrecise, -1, tokensIndexFlag)aclnnFFNV2aclnnFFNV2aclnnFFNV2GetWorkspaceSizeaclnnFFNV2GetWorkspaceSizeaclnnFFNaclnnFFNAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardGetActiveTypeaclnnFFNGetWorkspaceSizeaclnnFFNGetWorkspaceSizeTransDataTypeDeqscale~UniqueExecutorGluShapeCheckCheckFmapWeightShapeCheckYCheckParamGetFFNResultByL0ApiGetFFNResultByL0ApiDataContiguousAndTransFormatTensorContiguousProcessCheckOptionalParamsCheckHighPerformanceCheckDtypeValidForFFNOpCheckGluCheckAntiQuantCheckAntiQuantPergroupCheckAntiQuantShapeCheckAntiQuantShapeECheckAntiQuantW4ShapeCheckAntiQuantDimNumCheckHighPrecisionFP16CheckHighPrecisionBF16IsNullptrCheckQuantCheckQuantDimNumAndShapeCheckQuantScaleAndOffsetCheckBiasDtypeIsQuantEmptyIsAntiQuantEmptyCheckBiasDimNum aclnnInplaceFillDiagonalaclnn_fill_diagonal.cppfillValueCheckDtypeValid(selfRef)CheckShapeValid(selfRef)CheckCanCastType(fillValue)selfRefFilled != nullptrCheckNotNull(selfRef, fillValue)[%s:%d][%s][%s][%ld] errno[%d] %sDim of selfRef[%zu] greater than %zu, all dimensions of input must be of equal length.Dim of selfRef[%zu] greater than %zu, all dimensions of input must be of equal length.[%s:%d][%s][%s][%ld] errno[%d] %svalue cannot be converted to type %s without overflow : %lf.value cannot be converted to type %s without overflow : %lf.[%s:%d][%s][%s][%ld] errno[%d] %svalue cannot be converted to type %s without overflow : %ld.value cannot be converted to type %s without overflow : %ld.CheckNotOverflow(selfRef, fillValue)DFX_IN(selfRef, fillValue, wrap)|~ڜÜΙaclnnInplaceFillDiagonal~UniqueExecutorCheckNotOverflowCheckCanCastTypeCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceFillDiagonalGetWorkspaceSizeaclnnInplaceFillDiagonalGetWorkspaceSize   aclnnInplaceFillScalaraclnn_fill_scalar.cppCheckNotNull(self, value)CheckPromoteType(self, value)CheckShape(self)DFX_IN(selfRef, value)[%s:%d][%s][%s][%ld] %sEntering InplaceFillScalar[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and value dtype %s can not promote dtype.Self dtype %s and value dtype %s can not promote dtype.aclnnInplaceFillScalaraclnnInplaceFillScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceFillScalarGetWorkspaceSizeaclnnInplaceFillScalarGetWorkspaceSize    aclnnInplaceFillTensoraclnn_fill_tensor.cppCheckShape(self, value)executorP != nullptrcontiguousValue != nullptrcastValue != nullptr[%s:%d][%s][%s][%ld] errno[%d] %svalue shape should be 0D or 1D with size = 1, but got %s.value shape should be 0D or 1D with size = 1, but got %s.aclnnInplaceFillTensor~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceFillTensorGetWorkspaceSizeaclnnInplaceFillTensorGetWorkspaceSize    aclnnFlashAttentionScoreaclnnFlashAttentionScoreV2realShiftOptional != nullptrdropMaskOptional != nullptrattenMaskOptional != nullptrl0AttentionOutOut != nullptrTNDBNSDBSHSBHviewCopyResult0 != nullptrviewCopyResult3 != nullptraclnn_flash_attention_score.cppaclnnFlashAttentionVarLenScoreaclnnFlashAttentionVarLenScoreV2paddingMaskOptional != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe data type of query[%s], key[%s], value[%s] are not equal.The data type of query[%s], key[%s], value[%s] are not equal.[%s:%d][%s][%s][%ld] errno[%d] %sThe data type %s of pse is not invalid in pse type 2 or 3 mode, It must be float32The data type %s of pse is not invalid in pse type 2 or 3 mode, It must be float32[%s:%d][%s][%s][%ld] errno[%d] %sThe data type %s of pse is not equal to the data type %s of query, key and value.The data type %s of pse is not equal to the data type %s of query, key and value.[%s:%d][%s][%s][%ld] errno[%d] %snot support input_layout %s with dim_num %lunot support input_layout %s with dim_num %lu[%s:%d][%s][%s][%ld] errno[%d] %shead_num must > 0, but got %ldhead_num must > 0, but got %ldAnalysisAxis(query, key, inputLayout, headNum, shapeInfo) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sHead dim must <= 512, but got %ldHead dim must <= 512, but got %ld[%s:%d][%s][%s][%ld] %sAnalysis input success. The analysis result: [needReshape]: %d, [needPad]: %d, [padNum]: %lu,[needTranspose]: %dDFX_IN(query, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, prefixOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional)DFX_OUT(softmaxMaxOut, softmaxSumOut, softmaxOutOut, attentionOutOut)InputDtypeCheck(query, key, value, realShiftOptional, PSE_TYPE_V1) == ACLNN_SUCCESSAnalysisInput(query, key, inputLayout, headNum, shapeInfo) == ACLNN_SUCCESSContiguous(query, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, l0Executor) == ACLNN_SUCCESSPreprocessQKV(query, key, value, shapeInfo, l0Executor) == ACLNN_SUCCESSPostprocess(l0AttentionOutOut, attentionOutOut, shapeInfo, l0Executor) == ACLNN_SUCCESSDFX_IN(query, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional)[%s:%d][%s][%s][%ld] errno[%d] %sLayout %s is not TND, invalid shape, please checkLayout %s is not TND, invalid shape, please check[%s:%d][%s][%s][%ld] errno[%d] %sl0SoftmaxMaxOut or l0SoftmaxSumOut or l0AttentionOutOut is nulll0SoftmaxMaxOut or l0SoftmaxSumOut or l0AttentionOutOut is nullDFX_IN(query, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, prefixOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional)InputDtypeCheck(query, key, value, realShiftOptional, pseTypeOptional) == ACLNN_SUCCESSDFX_IN(query, key, value, realShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional)aclnnFlashAttentionVarLenScoreV2OpDfxGuardaclnnFlashAttentionVarLenScoreV2GetWorkspaceSizeaclnnFlashAttentionVarLenScoreV2GetWorkspaceSizeaclnnFlashAttentionScoreV2OpDfxGuardaclnnFlashAttentionScoreV2GetWorkspaceSizeaclnnFlashAttentionScoreV2GetWorkspaceSizeaclnnFlashAttentionVarLenScoreOpDfxGuardaclnnFlashAttentionVarLenScoreGetWorkspaceSizeaclnnFlashAttentionVarLenScoreGetWorkspaceSizeaclnnFlashAttentionScore~UniqueExecutorAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnFlashAttentionScoreGetWorkspaceSizeaclnnFlashAttentionScoreGetWorkspaceSizePostprocessGeneratePaddingsPreprocessQKVContiguousAnalysisInputInputDtypeCheckAnalysisAxisaclnnFlashAttentionScoreGrad*outTensor != nullptr*query != nullptr*key != nullptr*value != nullptr*dy != nullptrfagOut[0] != nullptrfagOut[1] != nullptrfagOut[2] != nullptrdqOutViewCopyRes != nullptrdkOutViewCopyRes != nullptrdvOutViewCopyRes != nullptrdpseOutViewCopyRes != nullptrfagShape.dDim != 0All out tensor is emptyaclnn_flash_attention_score_grad.cppaclnnFlashAttentionUnpaddingScoreGradaclnnFlashAttentionScoreGradV2aclnnFlashAttentionUnpaddingScoreGradV2*attentionInOptional != nullptrfagRes[0] != nullptr && fagRes[1] != nullptr && fagRes[2] != nullptrDFX_IN(query, keyIn, value, dy, pseShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, softmaxMaxOptional, softmaxSumOptional, softmaxInOptional, attentionInOptional, prefixOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional)DFX_OUT(dqOut, dkOut, dvOut, dpseOut)[%s:%d][%s][%s][%ld] errno[%d] %sInvalid HeadNum, pls check input attrInvalid HeadNum, pls check input attr[%s:%d][%s][%s][%ld] errno[%d] %sAll out tensor is emptyDFX_IN(query, keyIn, value, dy, pseShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, softmaxMaxOptional, softmaxSumOptional, softmaxInOptional, attentionInOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional)[%s:%d][%s][%s][%ld] errno[%d] %slayout %s is not TND, invalid shape, pls checklayout %s is not TND, invalid shape, pls checkDFX_IN(query, keyIn, value, dy, pseShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, softmaxMaxOptional, softmaxSumOptional, softmaxInOptional, attentionInOptional, prefixOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional)DFX_IN(query, keyIn, value, dy, pseShiftOptional, dropMaskOptional, paddingMaskOptional, attenMaskOptional, softmaxMaxOptional, softmaxSumOptional, softmaxInOptional, attentionInOptional, prefixOptional, actualSeqQLenOptional, actualSeqKvLenOptional, qStartIdxOptional, kvStartIdxOptional, scaleValueOptional, keepProbOptional, preTokensOptional, nextTokensOptional, headNum, inputLayout, innerPreciseOptional, sparseModeOptional, pseTypeOptional)aclnnFlashAttentionUnpaddingScoreGradV2OpDfxGuardaclnnFlashAttentionUnpaddingScoreGradV2GetWorkspaceSizeaclnnFlashAttentionUnpaddingScoreGradV2GetWorkspaceSizeaclnnFlashAttentionScoreGradV2FlashAttentionScoreGradV2GetWorkspaceOpDfxGuardaclnnFlashAttentionScoreGradV2GetWorkspaceSizeaclnnFlashAttentionScoreGradV2GetWorkspaceSizeaclnnFlashAttentionUnpaddingScoreGradOpDfxGuardaclnnFlashAttentionUnpaddingScoreGradGetWorkspaceSizeaclnnFlashAttentionUnpaddingScoreGradGetWorkspaceSizeaclnnFlashAttentionScoreGrad~UniqueExecutorReshapeOutputTensorSliceOutputTensorDdimTransposeOutputTensorPostFlashAttentionScoreGradReshapeInputTensorTransposeInputTensorPaddingInputTensorDdimPreFlashAttentionScoreGradContiguousOptionalInputTensorContiguousTensorWithCheckContiguousInputTensorGetInputShapeInfoFlashAttentionScoreGradGetWorkspaceAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnFlashAttentionScoreGradGetWorkspaceSizeaclnnFlashAttentionScoreGradGetWorkspaceSizeaclnnFlattenaclnn_flatten.cppDFX_IN(self, axis)CheckShape(self, axis, out)flattenResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [-%zu, %zu], but got %ld)Dimension out of range (expected to be in range of [-%zu, %zu], but got %ld)aclnnFlatten~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnFlattenGetWorkspaceSizeaclnnFlattenGetWorkspaceSize    aclnnFlipaclnn_flip.cppDFX_IN(self, dims)CheckNotNull(self, dims, out)CheckDims(dims, self)reverseV2Result != nullptr[%s:%d][%s][%s][%ld] %sCheckDims dimNum:%ld, min:%ld, max:%ld[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [%ld, %ld], but got %ld)Dimension out of range (expected to be in range of [%ld, %ld], but got %ld)[%s:%d][%s][%s][%ld] errno[%d] %sdim:[%ld] appears multiple times in the list of dimsdim:[%ld] appears multiple times in the list of dimsaclnnFlip~UniqueExecutorCheckDuplicateCheckDimsCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnFlipGetWorkspaceSizeaclnnFlipGetWorkspaceSize    aclnnFlooraclnn_floor.cppaclnnInplaceFloorfloorResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s], out [%s]Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, self [%s], out [%s]aclnnInplaceFloorOpDfxGuardaclnnInplaceFloorGetWorkspaceSizeaclnnFloor~UniqueExecutorCheckFormatCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnFloorGetWorkspaceSize      aclnnFloorDivideaclnn_floor_divide.cppaclnnFloorDividesaclnnInplaceFloorDivideaclnnInplaceFloorDividesCheckPromoteType(self->GetDataType(), other->GetDataType(), y->GetDataType())aclnnInplaceFloorDividesOpDfxGuardaclnnInplaceFloorDividesGetWorkspaceSizeaclnnInplaceFloorDividesGetWorkspaceSizeaclnnInplaceFloorDivideCheckInplaceOpDfxGuardaclnnInplaceFloorDivideGetWorkspaceSizeaclnnInplaceFloorDivideGetWorkspaceSizeaclnnFloorDividesCheckShapeScalarCheckDtypeValidScalarIsNullptrCheckParamsScalarCalcFloorDividesOpDfxGuardaclnnFloorDividesGetWorkspaceSizeaclnnFloorDividesGetWorkspaceSizeaclnnFloorDivide~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsCalcFloorDivideSplitStringAndPrintOpDfxGuardaclnnFloorDivideGetWorkspaceSizeaclnnFloorDivideGetWorkspaceSize    aclnnFmodScalaraclnn_fmod_scalar.cppaclnnInplaceFmodScalarother != nullptrCheckPromoteType(self, other)fmodOpOut != nullptraclnnInplaceFmodScalarOpDfxGuardaclnnInplaceFmodScalarGetWorkspaceSizeaclnnFmodScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnFmodScalarGetWorkspaceSize  aclnnFmodTensoraclnn_fmod_tensor.cppaclnnInplaceFmodTensoraclnnInplaceFmodTensorOpDfxGuardaclnnInplaceFmodTensorGetWorkspaceSizeaclnnFmodTensor~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnFmodTensorGetWorkspaceSize  aclnnFracaclnn_frac.cppaclnnInplaceFracinputOtherInteger != nullptrfracOutRet != nullptraclnnInplaceFracaclnnFracOpDfxGuardaclnnInplaceFracGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecFracGetWorkspaceSizeExecFracGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnFracGetWorkspaceSize  aclnnGatheraclnn_gather.cppDFX_IN(self, dim, index)indexContiguous != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saclnnGather not implemented for index dtype %s.aclnnGather not implemented for index dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sIndex tensor must have the same number of dimensions as input tensor.Index tensor must have the same number of dimensions as input tensor.[%s:%d][%s][%s][%ld] errno[%d] %sSize does not match at dimension %zu, expected index shape %ld smaller than self shape %ldSize does not match at dimension %zu, expected index shape %ld smaller than self shape %ld[%s:%d][%s][%s][%ld] errno[%d] %sSize does not match at dimension %zu, expected index shape to be 0Size does not match at dimension %zu, expected index shape to be 0CheckNotNull(self, index, out)CheckDtypeValid(self, index, out)CheckShape(self, dim, index, out)gatherElementsResult != nullptraclnnGather~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGatherGetWorkspaceSizeaclnnGatherGetWorkspaceSize       aclnnGatherNdaclnn_gather_nd.cppgatherNdResult != nullptrCheckNotNull(self, indices, out)CheckDtypeValid(self, indices, out)[%s:%d][%s][%s][%ld] errno[%d] %sindices last dim %ld not in valid range: [1, %ld]indices last dim %ld not in valid range: [1, %ld]CheckShape(self, indices, out)DFX_IN(self, indices, negativeIndexSupport)aclnnGatherNd~UniqueExecutorCheckOutShapeCheckShapeGetOutDtypeSupportListCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGatherNdGetWorkspaceSizeaclnnGatherNdGetWorkspaceSize       aclnnGatherV2aclnn_gather_v2.cppindexParam != nullptrgatherV2Result != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sdim %ld not in valid range: [%ld, %ld)dim %ld not in valid range: [%ld, %ld)aclnnGatherV2~UniqueExecutorCheckOutShapeCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGatherV2GetWorkspaceSizeaclnnGatherV2GetWorkspaceSize     aclnnGcdaclnn_gcd.cppgcd not implemented for %sgcdOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sgcd not implemented for %s[%s:%d][%s][%s][%ld] errno[%d] %sResult type Integral can't be cast to the desired output type %s.Result type Integral can't be cast to the desired output type %s.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and other dtype %s can not be promoted.Self dtype %s and other dtype %s can not be promoted.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and other dtype %s get promoteType dtype %s should be in dtype support list %s.Self dtype %s and other dtype %s get promoteType dtype %s should be in dtype support list %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected out tensor shape to be %s, but got %s.Expected out tensor shape to be %s, but got %s.aclnnGcd~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGcdGetWorkspaceSizeaclnnGcdGetWorkspaceSize aclnnGeScalaraclnn_ge_scalar.cppaclnnInplaceGeScalargreaterEqualResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saclnnGeScalar not implemented for input dtype %s.aclnnGeScalar not implemented for input dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %saclnnGeScalar not implemented for out dtype %s.aclnnGeScalar not implemented for out dtype %s.CheckPromoteType(self, other, out, promoteType)greaterEqualResultCasted != nullptraclnnInplaceGeScalarOpDfxGuardaclnnInplaceGeScalarGetWorkspaceSizeaclnnGeScalarSplitStringAndPrintOpDfxGuardaclnnGeScalarGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsaclnnGeScalarCommonaclnnGeScalarCommon       >aclnnGeTensoraclnn_ge_tensor.cppaclnnInplaceGeTensor[%s:%d][%s][%s][%ld] errno[%d] %saclnnGeTensor not implemented for input dtype %s.aclnnGeTensor not implemented for input dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %saclnnGeTensor not implemented for out dtype %s.aclnnGeTensor not implemented for out dtype %s.aclnnInplaceGeTensorOpDfxGuardaclnnInplaceGeTensorGetWorkspaceSizeaclnnGeTensor~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsaclnnGeTensorCommonaclnnGeTensorCommonSplitStringAndPrintOpDfxGuardaclnnGeTensorGetWorkspaceSize       aclnnGeGluaclnn_geglu.cppaclnnGeGluV3outGelucheckApproximate(approximate)viewCopyOutResult != nullptrDFX_OUT(out, outGelu)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnGeGlu dim value %ld to be in range [%ld, %ld] but check failed.Expected aclnnGeGlu dim value %ld to be in range [%ld, %ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnGeGlu out slice dim size %ld to be equal to %ld but check failed.Expected aclnnGeGlu out slice dim size %ld to be equal to %ld but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnGeGlu outGelu slice dim size %ld to be equal to %ld but check failed.Expected aclnnGeGlu outGelu slice dim size %ld to be equal to %ld but check failed.[%s:%d][%s][%s][%ld] errno[%d] %soutDimNum[%ld] and outGeluDimNum[%ld] must be the same with inputDimNum[%ld].outDimNum[%ld] and outGeluDimNum[%ld] must be the same with inputDimNum[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sExcept the slice dim[%ld], all other shape dim must be the same, but got input shape: %s, out shape: %s, out gelu shape: %sExcept the slice dim[%ld], all other shape dim must be the same, but got input shape: %s, out shape: %s, out gelu shape: %sCheckNotNull(self, out, outGelu)CheckDtypeValid(self, out, outGelu)CheckShape(self, dim, out, outGelu)[%s:%d][%s][%s][%ld] errno[%d] %sApproximate should be 0 or 1, but current is %ldApproximate should be 0 or 1, but current is %ldgeGluOutResult != nullptr && geluOutResult != nullptrviewCopyGeluOutResult != nullptrDFX_IN(self, dim, approximate, activateLeft)DFX_IN(self, dim, approximate)aclnnGeGluV3aclnnGeGluAddParamToBufOpDfxGuardaclnnGeGluV3GetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGeGluGetWorkspaceSize~UniqueExecutorcheckApproximateCheckShapeCheckDtypeValidIsNullptrCheckParamsExecGeGluGetWorkspaceSizeExecGeGluGetWorkspaceSizeaclnnGeGluBackwardaclnn_geglu_backward.cppaclnnGeGluV3BackwardcontiguousGelu != nullptrGeGluGradV2Out != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sexcept for the last dimension, all other dimensions of gradOutput: %s and self: %s must equalexcept for the last dimension, all other dimensions of gradOutput: %s and self: %s must equal[%s:%d][%s][%s][%ld] errno[%d] %sthe last dimension of gradOutput: %s must be the half of the last dimension of self: %sthe last dimension of gradOutput: %s must be the half of the last dimension of self: %s[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput: %s and self: %s must have same dimensionsgradOutput: %s and self: %s must have same dimensionsCheckNotNull(gradOutput, self, gelu, gradInput)CheckDtypeValid(gradOutput, self, gelu, gradInput)CheckShape(gradOutput, self, gelu, gradInput, dim)[%s:%d][%s][%s][%ld] errno[%d] %sexpected approximate to be 0 or 1, but got %ld.expected approximate to be 0 or 1, but got %ld.CheckAttributeValue(approximate)DFX_IN(gradOutput, self, gelu, dim, approximate, activateLeft)DFX_IN(gradOutput, self, gelu, dim, approximate)aclnnGeGluV3BackwardaclnnGeGluBackwardAddParamToBufOpDfxGuardaclnnGeGluV3BackwardGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGeGluBackwardGetWorkspaceSize~UniqueExecutorCheckAttributeValueCheckShapeCheckDtypeValidIsNullptrCheckParamsExecGeGluBackwardGetWorkspaceSizeExecGeGluBackwardGetWorkspaceSizeaclnnGeluaclnn_gelu.cppgeluResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of gelu is not support bfloat16 in current socversion.Input dtype of gelu is not support bfloat16 in current socversion.aclnnGelu~UniqueExecutorCheckFormatCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGeluGetWorkspaceSizeaclnnGeluGetWorkspaceSizeaclnnGeluBackwardaclnn_gelu_backward.cppselfBroadcast != nullptrGeluBackwardResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput dtype %s and Self dtype %s can not be promoted.GradOutput dtype %s and Self dtype %s can not be promoted.[%s:%d][%s][%s][%ld] errno[%d] %sPromote dtype of GradOutput and Self is %s, not matching with gradInput %s.Promote dtype of GradOutput and Self is %s, not matching with gradInput %s.[%s:%d][%s][%s][%ld] errno[%d] %spromoteType dtype %s should be in dtype support list %s.promoteType dtype %s should be in dtype support list %s.CheckNotNull(gradOutput, self, gradInput)CheckPromoteType(gradOutput, self, gradInput)CheckShape(gradOutput, self, gradInput)gradOutputBroadcast != nullptrgradInputContiguous != nullptraclnnGeluBackward~UniqueExecutorCheckShapeCheckPromoteTypeIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGeluBackwardGetWorkspaceSizeaclnnGeluBackwardGetWorkspaceSizeaclnnGeluV2aclnn_gelu_v2.cppDFX_IN(x, approximate)CheckNotNull(x, y)CheckDtypeValid(x, y)CheckShape(x, y)[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of gelu_v2 is not support bfloat16 in current socversion.Input dtype of gelu_v2 is not support bfloat16 in current socversion.aclnnGeluV2~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGeluV2GetWorkspaceSizeaclnnGeluV2GetWorkspaceSizeaclnnGemmaclnn_gemm.cppCheckNotNull(A, B, C, out)CheckDtypeValid(A, B, C, out)CContiguous != nullptrGemmRes == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sBfloat16 is unsupported by the current SOC version [%s], A is %s, B is %s, C is %s, out is %sBfloat16 is unsupported by the current SOC version [%s], A is %s, B is %s, C is %s, out is %sCheckMatmul(A, B, transA, transB)CheckBroadcast(A, B, C, transA, transB)CheckOutShape(A, B, transA, transB, out)CheckMathType(A, B, cubeMathType)DFX_IN(A, B, C, alpha, beta, transA, transB, cubeMathType)aclnnGemm~UniqueExecutorAddProcessGemmMulEmptyProcessCheckBroadcastCheckMatmulCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGemmGetWorkspaceSizeaclnnGemmGetWorkspaceSizeaclnnGeraclnn_ger.cppCheckNotNull(self, vec2, out)CheckDtypeValid(self, vec2)CheckShape(self, vec2, out)DFX_IN(self, vec2)Create executor error.561101vec2Casted != nullptrcalcOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and vec2 dtype %s can not promote dtype.Self dtype %s and vec2 dtype %s can not promote dtype.CheckPromoteType(self->GetDataType(), vec2->GetDataType(), out->GetDataType(), promoteType)[%s:%d][%s][%s][%ld] errno[%d] %sExpected 1-D argument, but got %zu-D.Expected 1-D argument, but got %zu-D.[%s:%d][%s][%s][%ld] errno[%d] %sExpected 2-D argument, but got %zu-D.Expected 2-D argument, but got %zu-D.[%s:%d][%s][%s][%ld] errno[%d] %sExpected sizes of out{%ld, %ld}should be equal to self * vec2 {%ld, %ld}Expected sizes of out{%ld, %ld}should be equal to self * vec2 {%ld, %ld}[%s:%d][%s][%s][%ld] errno[%d] %sCreate executor error.aclnnGer~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGerGetWorkspaceSizeaclnnGerGetWorkspaceSize  aclnnGlobalAveragePoolaclnn_global_average_pool.cppmeanOpOut != nullptraclnnGlobalAveragePool~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGlobalAveragePoolGetWorkspaceSizeaclnnGlobalAveragePoolGetWorkspaceSize  aclnnGlobalMaxPoolaclnn_global_max_pool.cppmaxOpOut != nullptraclnnGlobalMaxPool~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnGlobalMaxPoolGetWorkspaceSizeaclnnGlobalMaxPoolGetWorkspaceSize aclnnGluaclnn_glu.cppsplitResult != nullptrsplitSecond != nullptrsplitFirst != nullptrsplitFirstCasted != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range (expected to be in range of [%ld, %ld], but got %ld).Dimension out of range (expected to be in range of [%ld, %ld], but got %ld).[%s:%d][%s][%s][%ld] errno[%d] %sHalving dimension must be even, but dimension %ld is size %ld.Halving dimension must be even, but dimension %ld is size %ld.[%s:%d][%s][%s][%ld] errno[%d] %sThe shape of out must be %s, but get %s.The shape of out must be %s, but get %s.CheckParamsDataAndShape(self, dim, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe result of SplitV must be equal 2, but get %zu.The result of SplitV must be equal 2, but get %zu.aclnnGlu~UniqueExecutorCheckParamsDataAndShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGluGetWorkspaceSizeaclnnGluGetWorkspaceSize  aclnnGluBackwardaclnn_glu_backward.cppDFX_IN(gradOut, self, dim)gluBackwardOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe shape of gradOut must be %s, but got %s.The shape of gradOut must be %s, but got %s.CheckNotNull(gradOut, self, out)CheckDtypeValid(gradOut, self, out)CheckParamsDataAndShape(gradOut, self, dim, out)aclnnGluBackward~UniqueExecutorCheckParamsDataAndShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGluBackwardGetWorkspaceSizeaclnnGluBackwardGetWorkspaceSize  aclnnGridSampler2Daclnn_grid_sampler2d.cppgridCheckShape(input, grid, out)gridContiguous != nullptrgridSampler2DOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sexpect input grid and out to have same batch size, but got input with shape [%s] grid with shape [%s] and out with shape [%s]expect input grid and out to have same batch size, but got input with shape [%s] grid with shape [%s] and out with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect input and out to have same channel size, but got input with shape [%s] and out with shape [%s]expect input and out to have same channel size, but got input with shape [%s] and out with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect grid and out to have same H and W size, but got grid with shape [%s] and out with shape [%s]expect grid and out to have same H and W size, but got grid with shape [%s] and out with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect input to have non-empty spatial dimensions, but got input with shape [%s]expect input to have non-empty spatial dimensions, but got input with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect grid to have size %ld in last dimension, but got grid with shape [%s]expect grid to have size %ld in last dimension, but got grid with shape [%s]DFX_IN(input, grid, interpolationMode, paddingMode, alignCorners)CheckNotNull(input, grid, out)CheckDtypeValid(input, grid, out)[%s:%d][%s][%s][%ld] errno[%d] %sinterpolationMode %ld should be in range [%ld, %ld].interpolationMode %ld should be in range [%ld, %ld].[%s:%d][%s][%s][%ld] errno[%d] %spaddingMode %ld should be in range [%ld, %ld].paddingMode %ld should be in range [%ld, %ld].CheckAttrValid(interpolationMode, paddingMode)[%s:%d][%s][%s][%ld] errno[%d] %sinterpolationMode %ld is not support in AICPU.interpolationMode %ld is not support in AICPU.CheckBicubicSuppport(interpolationMode, channelLast)[%s:%d][%s][%s][%ld] %sGridSample aicore attr is [%ld], [%ld], [%d], [%d]aclnnGridSampler2D~UniqueExecutorCheckBicubicSuppportCheckShapeCheckAttrValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGridSampler2DGetWorkspaceSizeaclnnGridSampler2DGetWorkspaceSize aclnnGridSampler2DBackwardinputGradgridGradDFX_OUT(inputGrad, gridGrad)aclnn_grid_sampler2d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sexpect input grid and gridOutput to have same batch size, but got input with shape [%s] grid with shape [%s] and gridOutput with shape [%s]expect input grid and gridOutput to have same batch size, but got input with shape [%s] grid with shape [%s] and gridOutput with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect input and gridOutput to have same channel size, but got input with shape [%s] and gridOutput with shape [%s]expect input and gridOutput to have same channel size, but got input with shape [%s] and gridOutput with shape [%s][%s:%d][%s][%s][%ld] errno[%d] %sexpect grid and gridOutput to have same H and W size, but got grid with shape [%s] and gridOutput with shape [%s]expect grid and gridOutput to have same H and W size, but got grid with shape [%s] and gridOutput with shape [%s]DFX_IN(gradOutput, input, grid, interpolationMode, paddingMode, alignCorners, outputMask)CheckNotNull(gradOutput, input, grid, inputGrad, gridGrad)CheckDtypeValid(gradOutput, input, grid, inputGrad, gridGrad)CheckShape(gradOutput, input, grid, inputGrad, gridGrad)CheckTupleNullptr(gridSampler2DBackwardOut)inputGradViewCopyResult != nullptrgridGradViewCopyResult != nullptraclnnGridSampler2DBackward~UniqueExecutorCheckShapeCheckAttrValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGridSampler2DBackwardGetWorkspaceSizeaclnnGridSampler2DBackwardGetWorkspaceSize aclnnGridSampler3Daclnn_grid_sampler3d.cppgridSampler3DOut != nullptraclnnGridSampler3D~UniqueExecutorCheckShapeCheckAttrValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGridSampler3DGetWorkspaceSizeaclnnGridSampler3DGetWorkspaceSize aclnnGridSampler3DBackwardinputGradCast != nullptrgridGradCast != nullptraclnn_grid_sampler3d_backward.cppCheckTupleNullptr(gridSampler3DBackwardOut)aclnnGridSampler3DBackward~UniqueExecutorCheckShapeCheckAttrValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGridSampler3DBackwardGetWorkspaceSizeaclnnGridSampler3DBackwardGetWorkspaceSize aclnnGroupNormaclnn_group_norm.cppmeanOutrstdOutgammaTensor != nullptrgammaContiguous != nullptrbetaTensor != nullptrbetaContiguous != nullptroutViewCopyResult != nullptraddResult != nullptrrsqrtResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected self.numel() == N * C * HxW to be true, but got false.Expected self.numel() == N * C * HxW to be true, but got false.[%s:%d][%s][%s][%ld] errno[%d] %sExpected weight to be a vector of size equal to the number of channels in input, but got weight of shape %s and input of shape %s.Expected weight to be a vector of size equal to the number of channels in input, but got weight of shape %s and input of shape %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected bias to be a vector of size equal to the number of channels in input, but got weight of shape %s and input of shape %s.Expected bias to be a vector of size equal to the number of channels in input, but got weight of shape %s and input of shape %s.CheckNotNull(self, out, meanOut, rstdOut)CheckDtypeValid(self, gamma, beta, out, meanOut, rstdOut)[%s:%d][%s][%s][%ld] errno[%d] %sExpected group to be greater than 0, got %ld.Expected group to be greater than 0, got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected number of channels in input to be divisible by group, but got input of shape %s and group=%ld.Expected number of channels in input to be divisible by group, but got input of shape %s and group=%ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected eps to be greater than 0, got %lf.Expected eps to be greater than 0, got %lf.CheckAttr(self, C, group, eps)CheckShape(self, gamma, beta, N, C, HxW, group, out, meanOut, rstdOut)DFX_IN(self, gamma, beta, N, C, HxW, group, eps)DFX_OUT(out, meanOut, rstdOut)(yResult != nullptr) && (meanResult != nullptr) && (varianceResult != nullptr)meanOutViewCopyResult != nullptrrstdOutViewCopyResult != nullptraclnnGroupNorm~UniqueExecutorRstdProcessReshapeProcessGetBetaGetGammaFillScalarCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGroupNormGetWorkspaceSizeaclnnGroupNormGetWorkspaceSizeaclnnGroupNormBackwardaclnn_group_norm_backward.cppexpandShape != nullptrmeanBroadcast != nullptrrstdBroadcast != nullptrxHat != nullptrxHatMul != nullptrdgammaMul != nullptrdgammaSum != nullptrgammaReshape != nullptrgradOutMulGamma != nullptrinputBatchNorm != nullptrgradOutBatchNorm != nullptrmeanBatchNorm != nullptrrstdOne != nullptrepsTensor != nullptrvarianceBatchNorm != nullptrweightTmp != nullptrgradInputBatch != nullptrinputShape != nullptrgradInputReshape != nullptrrstdgradGammaOutgradBetaOutCheckAttr(C, group)rstdContiguous != nullptrgammaTmp != nullptrdx_output != nullptrdgamma_output != nullptrdbeta_output != nullptrdx != nullptrdxCast != nullptrdxViewCopyResult != nullptrdgamma != nullptrdgammaCast != nullptrdbeta != nullptrdbetaCast != nullptrgradOutReshape != nullptrAxisTwoShape != nullptrAxisZeroShape != nullptrbroadcastShape != nullptrmeanTmp != nullptrdbetaSum != nullptrbetaViewCopyResult != nullptrinputViewCopyResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected dY.numel() == N * C * HxW to be true, but got false.Expected dY.numel() == N * C * HxW to be true, but got false.[%s:%d][%s][%s][%ld] errno[%d] %sExpected dY[0] == N && dY[1] == C to be true, but got false.Expected dY[0] == N && dY[1] == C to be true, but got false.DFX_IN(gradOut, input, mean, rstd, gamma, N, C, HxW, group, outputMask)DFX_OUT(gradInput, gradGammaOut, gradBetaOut)CheckNotNull(gradOut, input, mean, rstd)CheckDtypeValid(gradOut, input, mean, rstd, gamma, gradInput, gradGammaOut, gradBetaOut, outputMask)CheckMaskNotNull(gradInput, gradGammaOut, gradBetaOut, outputMask)[%s:%d][%s][%s][%ld] errno[%d] %sExpected C can be divided by group, but got false.Expected C can be divided by group, but got false.CheckShape(gradOut, input, mean, rstd, gamma, N, C, HxW, group, outputMask, gradInput, gradGammaOut, gradBetaOut)dgammaViewCopyResult != nullptrdbetaViewCopyResult != nullptrgammaViewCopyResult != nullptraclnnGroupNormBackward~UniqueExecutorGetDbetaCalDgammaGetDgammaGetShapegetBatchNormBackwardGradInputGetvarianceBatchNormReshape1DProcessgradInputProcessReshape3DProcessFillValueGetgammaContiguousCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGroupNormBackwardGetWorkspaceSizeaclnnGroupNormBackwardGetWorkspaceSizeBatchNormBackwardInnerBatchNormBackwardProcInner'7aclnnGroupNormSiluaclnn_group_norm_silu.cppaclnnGroupNormSiluV2CheckAttr(self, group, eps)rstd != nullptrCheckShape(self, gamma, beta, group, out, meanOut, rstdOut)[%s:%d][%s][%s][%ld] errno[%d] %sExpected N to be greater than 0, got %ld.Expected N to be greater than 0, got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected C to be greater than 0, got %ld.Expected C to be greater than 0, got %ld.DFX_IN(self, gamma, beta, group, eps)DFX_IN(self, gamma, beta, group, eps, activateSilu)aclnnGroupNormSiluV2AddParamToBufOpDfxGuardaclnnGroupNormSiluV2GetWorkspaceSizeaclnnGroupNormSiluV2GetWorkspaceSizeaclnnGroupNormSilu~UniqueExecutorGetBetaGetGammaFillScalarCheckAttrCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGroupNormSiluGetWorkspaceSizeaclnnGroupNormSiluGetWorkspaceSizeGroupedMatMulAllReduceAicpu(*gmmParams.x)[i](*gmmParams.weight)[i](*gmmParams.bias)[i]x[0] should not be empty.w[%lu] should not be emptyx must not be nullptr.weight must not be nullptr.y must not be nullptr.CheckNotNull(gmmParams)x or y is nullptr.CheckMatmulShape(gmmParams)ge.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.headStreamac_parallel_enablege.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.DDK_versionge.feFlagge.streamMaxParallelNumge.outputDatatypege.opSelectImplmodege.optypelistForImplmodege.hcomParallelge.fusionTensorSizege.inputShapege.outputMaxSizege.dynamicNodeTypege.autoTuneModege.socVersionge.virtual_typege.engineTypege.exec.exclude_enginesge.aicoreNumge.l1Fusionge.bufferOptimizege.enableSmallChannelge.enableCompressWeightge.enableSparseMatrixWeightge.fusionSwitchFilege.compressionOptimizeConfge.customizeDtypesop_debug_configge.saveOriginalModelge.originalModelFilege.INPUT_NODES_SET_FP16ge.opDebugLevelop_debug_optionge.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.disableReuseMemorylogge.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.enableSingleStreamge.op_dependency_in_omaclnn_grouped_mat_mul_all_reduce.cpp[%s:%d][%s][%s][%ld] %sGroupedMatMulAllReduce, tilingData dataLen = %lu[%s:%d][%s][%s][%ld] %sGroupedMatMulAllReduce, numX=%u, numW=%u, numBias=%u, numOut=%u, dataNum=%u, apiParam.context: %ld %p[%s:%d][%s][%s][%ld] %sGroupedMatMulAllReduce, end. notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sGroupedMatMulAllReduce, end. aicpuNotify=nullptr. notify %p stream %p[%s:%d][%s][%s][%ld] %sSkip the api for empty tensor, workspace addr %p, size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sGroupedMatMulAllReduce, This is an error in launch aicpuGroupedMatMulAllReduce, This is an error in launch aicpu[%s:%d][%s][%s][%ld] errno[%d] %sGroupedMatMulAllReduce, This is an error in launch aicoreGroupedMatMulAllReduce, This is an error in launch aicore[%s:%d][%s][%s][%ld] errno[%d] %sThe group size of weight should not exceed %ld, but now is %lu.The group size of weight should not exceed %ld, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItemOptional is 1/3, x group size must be 1, but now is %lu.When splitItemOptional is 1/3, x group size must be 1, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is 1/3, groupList size must not be nullptr.When splitItem is 1/3, groupList size must not be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is 1/3, groupList size[%lu] must be equal with weight group size[%lu].When splitItem is 1/3, groupList size[%lu] must be equal with weight group size[%lu].[%s:%d][%s][%s][%ld] errno[%d] %sgroupListOptional should be an incremental sequence.groupListOptional should be an incremental sequence.[%s:%d][%s][%s][%ld] errno[%d] %sThe last value of group list(%lu) must equal with x shape[0] (%lu).The last value of group list(%lu) must equal with x shape[0] (%lu).CheckGroupListOptional(gmmParams)[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is 0/2, x group size[%lu] must be equal with weight group size[%lu].When splitItem is 0/2, x group size[%lu] must be equal with weight group size[%lu].[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is 0/2, groupList must be nullptr.When splitItem is 0/2, groupList must be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %ssplitItem only support 0/1/2/3.splitItem only support 0/1/2/3.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItemOptional is 2/3, y group size must be 1, but now is %lu.When splitItemOptional is 2/3, y group size must be 1, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItemOptional is 0/1, y group size[%lu] must be equal with weight group size[%lu].When splitItemOptional is 0/1, y group size[%lu] must be equal with weight group size[%lu].[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] Dim only support 2-6, but now is %lu.x[%lu] Dim only support 2-6, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sweight[%lu] Dim only support 2, but now is %lu.weight[%lu] Dim only support 2, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sbias group size [%lu] should be equal to weight group size [%lu].bias group size [%lu] should be equal to weight group size [%lu].[%s:%d][%s][%s][%ld] errno[%d] %sbias[%lu] Dim must be 1, but now is %lu.bias[%lu] Dim must be 1, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sGMMAr:x dtype does not match with required dtype[%s].GMMAr:x dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMMAr:weight dtype does not match with required dtype[%s].GMMAr:weight dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMMAr:y dtype does not match with required dtype[%s].GMMAr:y dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMMAr:bias dtype does not match with required dtype[%s].GMMAr:bias dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sOnly float16/bfloat16 are supported for x and weight.Only float16/bfloat16 are supported for x and weight.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] is empty, but y[%lu] is not emptyx[%lu] is empty, but y[%lu] is not empty[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] is not empty, but y[%lu] is emptyx[%lu] is not empty, but y[%lu] is empty[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is 0, x dims[%lu] must be equal with y dims[%lu] and not greater than %luWhen splitItem is 0, x dims[%lu] must be equal with y dims[%lu] and not greater than %lu[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is not 0, x dims must be %lu, but now is %lu.When splitItem is not 0, x dims must be %lu, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem is not 0, y dims must be %lu, but now is %lu.When splitItem is not 0, y dims must be %lu, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sx[0] should not be empty.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splitItem = 0/2, x[%lu] cannot be empty.When splitItem = 0/2, x[%lu] cannot be empty.[%s:%d][%s][%s][%ld] errno[%d] %sw[%lu] should not be empty[%s:%d][%s][%s][%ld] errno[%d] %sThe last dim of x[%lu] = [%lu], which is not equal with the first dim of weight[%lu] = [%lu]The last dim of x[%lu] = [%lu], which is not equal with the first dim of weight[%lu] = [%lu][%s:%d][%s][%s][%ld] errno[%d] %sK dim of x tensors and weight tensors does matchK dim of x tensors and weight tensors does match[%s:%d][%s][%s][%ld] errno[%d] %sstreamMode is %ld, only support 1!streamMode is %ld, only support 1![%s:%d][%s][%s][%ld] errno[%d] %scommTurn is %ld, only support 0!commTurn is %ld, only support 0![%s:%d][%s][%s][%ld] errno[%d] %sreduceOp is %s, only support sum!reduceOp is %s, only support sum![%s:%d][%s][%s][%ld] errno[%d] %sx must not be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sweight must not be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sy must not be nullptr.CheckParamDimAndLengthGmmAr(gmmParams) == ACLNN_SUCCESSCheckParamOptionGmmAr(gmmParams) == ACLNN_SUCCESSCheckDims(gmmParams) == ACLNN_SUCCESSCheckParam(gmmParams) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sweight[%zu] cannot be nullptr.weight[%zu] cannot be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sx or y is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sDim[%ld] of x[%ld] and y[%ld] are %ld and %ld, respectively, which should be equal to each other.Dim[%ld] of x[%ld] and y[%ld] are %ld and %ld, respectively, which should be equal to each other.[%s:%d][%s][%s][%ld] errno[%d] %sKDim[%ld] of weight[%ld] should be equal with KDim[%ld] of x[%ld].KDim[%ld] of weight[%ld] should be equal with KDim[%ld] of x[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sNDim[%ld] of weight[%ld] should be equal with NDim[%ld] of y[%ld].NDim[%ld] of weight[%ld] should be equal with NDim[%ld] of y[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sbias[%ld] should not be nullptr.bias[%ld] should not be nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sNDim[%ld] of weight[%ld] should be equal with NDim[%ld] of bias[%ld].NDim[%ld] of weight[%ld] should be equal with NDim[%ld] of bias[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sGroupedMatMulAllReduce: Cannot find bias dtype match with xDtype[%s].GroupedMatMulAllReduce: Cannot find bias dtype match with xDtype[%s].[%s:%d][%s][%s][%ld] %sGroupedMatMulAllReduce, end ret %d.ge.exec.memoryOptimizationPolicyge.shape_generalized_build_modege.experiment.quant_bias_optimizeaclnnGroupedMatMulAllReduceaclnnGroupedMatMulAllReduceHcclNotifyGetAllReduceApiParamPreAndPostProcessForInnerCheckMatmulShapeCheckDimKCheckDimsCheckNotNullCheckParamaclnnGroupedMatMulAllReduceGetWorkspaceSizeaclnnGroupedMatMulAllReduceGetWorkspaceSizeCheckTensorListDataTypeCheckMatmulDataTypeCheckParamOptionGmmArIsNullptrCheckGroupListOptionalCheckParamDimAndLengthGmmArASCEND_MC2_DEBUG_MODEHcclAicpuOpRunAicpuRpcSrvGroupLaunchaclnn_grouped_matmul.cppaclnnGroupedMatmulaclnnGroupedMatmulV2Invalid antiquantScaleInvalid antiquantOffsetTransWeightToNz failedInvalid scalegroupListOptional[0]] - groupListOptional[when y is separatedwhen groupType is -1CheckGroupListCommon failed.groupList is invalid.when splited axis is Mwhen groupType is 0not separatedinvalid inputs!%s, x can not be transposed.Invalid biasgmmParams.scaleOptional == nullptrgmmParams.offsetOptional == nullptrgmmParams.antiquantScaleOptional == nullptrgmmParams.antiquantOffsetOptional == nullptr[%s:%d][%s][%s][%ld] errno[%d] %sdim %lu value of %s[%lu] should be equal with dim %lu value of %s[%lu].dim %lu value of %s[%lu] should be equal with dim %lu value of %s[%lu].[%s:%d][%s][%s][%ld] errno[%d] %ssum of dim %lu value of %s %lu should be equal with dim %lu value of %s[0] %lu.sum of dim %lu value of %s %lu should be equal with dim %lu value of %s[0] %lu.[%s:%d][%s][%s][%ld] errno[%d] %sdim %lu value of %s[%lu] %lu should be equal with dim %lu value of %s[0] %lu.dim %lu value of %s[%lu] %lu should be equal with dim %lu value of %s[0] %lu.[%s:%d][%s][%s][%ld] errno[%d] %s%s[%lu] is null, which is not surpported.%s[%lu] is null, which is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %s%s[%lu] dim num should be %lu in this case, but now is %lu.%s[%lu] dim num should be %lu in this case, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sDetected nonquant, but quant inputs is not empty!Detected nonquant, but quant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sDetected nonquant, but antiquant inputs is not empty!Detected nonquant, but antiquant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sThis is an error in GMM launch aicoreThis is an error in GMM launch aicore[%s:%d][%s][%s][%ld] errno[%d] %sgroupListOptional required in this case, but get nullptr.groupListOptional required in this case, but get nullptr.[%s:%d][%s][%s][%ld] errno[%d] %swhen x is separated and groupList is not null,size of groupList %lu should be equal to groupNum %lu.when x is separated and groupList is not null,size of groupList %lu should be equal to groupNum %lu.[%s:%d][%s][%s][%ld] errno[%d] %s%s size[%lu] must be equal with weight size[%lu].%s size[%lu] must be equal with weight size[%lu].[%s:%d][%s][%s][%ld] errno[%d] %s%s Dim must be 2 under weight single tensor mode, but now is %lu.%s Dim must be 2 under weight single tensor mode, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %s%s batch size[%lu] should be euqal with groupList length[%lu]%s batch size[%lu] should be euqal with groupList length[%lu][%s:%d][%s][%s][%ld] errno[%d] %sNDim[%lu] of %s should be equal with NDim[%lu] of weight.NDim[%lu] of %s should be equal with NDim[%lu] of weight.[%s:%d][%s][%s][%ld] errno[%d] %s%s[%lu] must not be nullptr, but now is nullptr.%s[%lu] must not be nullptr, but now is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %s%s Dim must be 1, but now is %lu.%s Dim must be 1, but now is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sNDim[%lu] of %s[%lu] should be equal with NDim[%lu] of weight[%lu].NDim[%lu] of %s[%lu] should be equal with NDim[%lu] of weight[%lu].[%s:%d][%s][%s][%ld] errno[%d] %sGMM: antiquant cases do not support weight single tensor mode.GMM: antiquant cases do not support weight single tensor mode.[%s:%d][%s][%s][%ld] errno[%d] %sGMM: antiquantScale must not be nullptr in antiquant, but now is nullptr.GMM: antiquantScale must not be nullptr in antiquant, but now is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sGMM: antiquantOffset must not be nullptr in antiquant, but now is nullptr.GMM: antiquantOffset must not be nullptr in antiquant, but now is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sInvalid antiquantScale[%s:%d][%s][%s][%ld] errno[%d] %sInvalid antiquantOffset(*gmmParams.antiquantScaleOptional)[i][%s:%d][%s][%s][%ld] errno[%d] %sGMM: antiquantScale dtype only support float16/bfloat16 now.GMM: antiquantScale dtype only support float16/bfloat16 now.[%s:%d][%s][%s][%ld] errno[%d] %sGMM: antiquantOffset dtype only support float16/bfloat16 now.GMM: antiquantOffset dtype only support float16/bfloat16 now.[%s:%d][%s][%s][%ld] errno[%d] %sDetected antiquant, but quant inputs is not empty!Detected antiquant, but quant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sGMM: x dtype does not match with required dtype[%s].GMM: x dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMM: weight dtype does not match with required dtype[%s].GMM: weight dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMM: y dtype does not match with required dtype[%s].GMM: y dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMM: bias dtype does not match with required dtype[%s].GMM: bias dtype does not match with required dtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sGMM: Cannot find bias dtype match with xDtype[%s].GMM: Cannot find bias dtype match with xDtype[%s].[%s:%d][%s][%s][%ld] errno[%d] %sTransWeightToNz failed[%s:%d][%s][%s][%ld] errno[%d] %sGMM: quant cases do not support weight single tensor mode.GMM: quant cases do not support weight single tensor mode.[%s:%d][%s][%s][%ld] errno[%d] %sGMM: offset must be nullptr in quant, but now is not nullptr.GMM: offset must be nullptr in quant, but now is not nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sGMM: scale must not be nullptr in quant, but now is nullptr.GMM: scale must not be nullptr in quant, but now is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sInvalid scale[%s:%d][%s][%s][%ld] errno[%d] %sDetected quant, but antiquant inputs is not empty!Detected quant, but antiquant inputs is not empty![%s:%d][%s][%s][%ld] errno[%d] %sinput x and weight transposed at the same time is not supported!input x and weight transposed at the same time is not supported![%s:%d][%s][%s][%ld] errno[%d] %saclnnGroupedMatmul not surpport x or weight dtype float32.aclnnGroupedMatmul not surpport x or weight dtype float32.CheckMatmulDataType(gmmParams, gmmParams.xDtype, weightDtype, biasDtype) == ACLNN_SUCCESSCheckMatmulDataType(gmmParams, DataType::DT_INT8, DataType::DT_INT8, DataType::DT_INT32) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sGMM: there is no matching xDtype and weightDtype pattern. case with x dtye %s and weight dtype %s is not surpported.GMM: there is no matching xDtype and weightDtype pattern. case with x dtye %s and weight dtype %s is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %sNot support split n dim now, groupType can not be 1.Not support split n dim now, groupType can not be 1.[%s:%d][%s][%s][%ld] errno[%d] %sgroupType only support -1/0/2 now, but given groupType is %ldgroupType only support -1/0/2 now, but given groupType is %ld[%s:%d][%s][%s][%ld] errno[%d] %swhen splitItem is 2/3, groupType can not be -1.when splitItem is 2/3, groupType can not be -1.[%s:%d][%s][%s][%ld] errno[%d] %sgroupListOptional should be nullptr when groupType is -1.groupListOptional should be nullptr when groupType is -1.[%s:%d][%s][%s][%ld] errno[%d] %ssize of groupListOptional %lu should be equal to size of x %lu.size of groupListOptional %lu should be equal to size of x %lu.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] is null, which is not surpported.x[%lu] is null, which is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %sweight[%lu] is null, which is not surpported.weight[%lu] is null, which is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %sy[%lu] is null, which is not surpported.y[%lu] is null, which is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] DimNum is %lu , but only support 2-6.x[%lu] DimNum is %lu , but only support 2-6.[%s:%d][%s][%s][%ld] errno[%d] %sweight[%lu] DimNum is %lu , but only support 2 when weight separated.weight[%lu] DimNum is %lu , but only support 2 when weight separated.[%s:%d][%s][%s][%ld] errno[%d] %sy[%lu] DimNum %lu should be equal with x[%lu] DimNum %lu.y[%lu] DimNum %lu should be equal with x[%lu] DimNum %lu.[%s:%d][%s][%s][%ld] errno[%d] %sgroupListOptional should be nullptr when x, y both separated and dim num larger than 2.groupListOptional should be nullptr when x, y both separated and dim num larger than 2.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] dim 0 value %lu should be equal to %s %lu.x[%lu] dim 0 value %lu should be equal to %s %lu.when x and weight are separated[%s:%d][%s][%s][%ld] errno[%d] %s%s, splitItem should be 0/1, but current splitItem is %ld%s, splitItem should be 0/1, but current splitItem is %ld[%s:%d][%s][%s][%ld] errno[%d] %s%s, size of x %lu should equal to size of y %lu.%s, size of x %lu should equal to size of y %lu.[%s:%d][%s][%s][%ld] errno[%d] %s%s, size of x %lu should equal to size of weight %lu.%s, size of x %lu should equal to size of weight %lu.[%s:%d][%s][%s][%ld] errno[%d] %sdim num of tensor in tensor lists or grouplist is invalid.dim num of tensor in tensor lists or grouplist is invalid.[%s:%d][%s][%s][%ld] errno[%d] %sy[%lu] dim %lu value %lu should equal to x[%lu] dim %lu value %lu.y[%lu] dim %lu value %lu should equal to x[%lu] dim %lu value %lu.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] dim %lu value %lu should equal to weight[%lu] dim 0 value %lu.x[%lu] dim %lu value %lu should equal to weight[%lu] dim 0 value %lu.[%s:%d][%s][%s][%ld] errno[%d] %sy[%lu] dim %lu value %lu should equal to weight[%lu] dim 1 value %lu.y[%lu] dim %lu value %lu should equal to weight[%lu] dim 1 value %lu.[%s:%d][%s][%s][%ld] errno[%d] %sCheckGroupListCommon failed.[%s:%d][%s][%s][%ld] errno[%d] %sx[%lu] dim 1 value %lu should be equal to %s %lu.x[%lu] dim 1 value %lu should be equal to %s %lu.[%s:%d][%s][%s][%ld] errno[%d] %sweight[%lu] dim 0 %lu value should be equal to %s %lu.weight[%lu] dim 0 %lu value should be equal to %s %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splited axis is K, the last value of group list(%lu) must equal with x shape[1] (%lu).When splited axis is K, the last value of group list(%lu) must equal with x shape[1] (%lu).[%s:%d][%s][%s][%ld] errno[%d] %swhen groupType is 2 and x is not separated, tensor in x should be transposedwhen groupType is 2 and x is not separated, tensor in x should be transposed[%s:%d][%s][%s][%ld] errno[%d] %swhen groupType is 2, splitItem should be 2/3, but current splitItem is %ldwhen groupType is 2, splitItem should be 2/3, but current splitItem is %ld[%s:%d][%s][%s][%ld] errno[%d] %sdim num of tensor in tensor list x is invalid.dim num of tensor in tensor list x is invalid.[%s:%d][%s][%s][%ld] errno[%d] %sdim num of tensor in tensor list weight is invalid.dim num of tensor in tensor list weight is invalid.[%s:%d][%s][%s][%ld] errno[%d] %sdim num of tensor in tensor list y is invalid.dim num of tensor in tensor list y is invalid.[%s:%d][%s][%s][%ld] errno[%d] %sk dim value of x and weight is not matched.k dim value of x and weight is not matched.[%s:%d][%s][%s][%ld] errno[%d] %sm dim value of x and y is not matched.m dim value of x and y is not matched.[%s:%d][%s][%s][%ld] errno[%d] %sn dim value of weight and y is not matched.n dim value of weight and y is not matched.[%s:%d][%s][%s][%ld] errno[%d] %sgroupList is invalid.[%s:%d][%s][%s][%ld] errno[%d] %swhen groupType is 2, only support case with unseparated x, weight and y, but now x size is %lu, weight size is %lu, y size is %lu.when groupType is 2, only support case with unseparated x, weight and y, but now x size is %lu, weight size is %lu, y size is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sy[%lu] dim 0 value %lu should be equal to %s %lu.y[%lu] dim 0 value %lu should be equal to %s %lu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen splited axis is M, the last value of group list(%lu) must equal with x shape[0] (%lu).When splited axis is M, the last value of group list(%lu) must equal with x shape[0] (%lu).[%s:%d][%s][%s][%ld] errno[%d] %swhen y is not separated, splitItem should be 2/3, but current splitItem is %ldwhen y is not separated, splitItem should be 2/3, but current splitItem is %ld[%s:%d][%s][%s][%ld] errno[%d] %s%s and weight is separated, weight can not be transposed.%s and weight is separated, weight can not be transposed.[%s:%d][%s][%s][%ld] errno[%d] %swhen y is separated, splitItem should be 0/1, but current splitItem is %ldwhen y is separated, splitItem should be 0/1, but current splitItem is %ld[%s:%d][%s][%s][%ld] errno[%d] %swhen y and weight are separated, size of y %lu should equal to size of weight %lu.when y and weight are separated, size of y %lu should equal to size of weight %lu.[%s:%d][%s][%s][%ld] errno[%d] %swhen x and weight are separated, size of x %lu should equal to size of weight %lu.when x and weight are separated, size of x %lu should equal to size of weight %lu.[%s:%d][%s][%s][%ld] errno[%d] %ssplit m, single x, single weight, single y case failed.split m, single x, single weight, single y case failed.[%s:%d][%s][%s][%ld] errno[%d] %ssplit m, single x, separated weight, single y case failed.split m, single x, separated weight, single y case failed.[%s:%d][%s][%s][%ld] errno[%d] %ssplit m, single x, separated weight, separated y case failed.split m, single x, separated weight, separated y case failed.[%s:%d][%s][%s][%ld] errno[%d] %ssplit m, separated x, separated weight, single y case failed.split m, separated x, separated weight, single y case failed.[%s:%d][%s][%s][%ld] errno[%d] %s%s, current case with x %s, weight %s, y %s is not surpported.%s, current case with x %s, weight %s, y %s is not surpported.[%s:%d][%s][%s][%ld] errno[%d] %sx and weight can not be transposed at the same time.x and weight can not be transposed at the same time.[%s:%d][%s][%s][%ld] errno[%d] %ssize of groupList can not be 1.size of groupList can not be 1.[%s:%d][%s][%s][%ld] errno[%d] %swhen x, weight and y are all separated, x or weight can not be transposed.when x, weight and y are all separated, x or weight can not be transposed.[%s:%d][%s][%s][%ld] errno[%d] %sinvalid inputs![%s:%d][%s][%s][%ld] errno[%d] %s%s, x can not be transposed.[%s:%d][%s][%s][%ld] errno[%d] %sInvalid biasCheckNotNull(gmmParams) == ACLNN_SUCCESSCheckParamDifferentGroupType(gmmParams) == ACLNN_SUCCESSCheckParamOption(gmmParams) == ACLNN_SUCCESSDFX_IN(x, weight, biasOptional, scaleOptional, offsetOptional, antiquantScaleOptional, antiquantOffsetOptional, groupListOptional, splitItem)[%s:%d][%s][%s][%ld] errno[%d] %sOnly accept separated weight, but input weight is not separated.Only accept separated weight, but input weight is not separated.DFX_IN(x, weight, biasOptional, scaleOptional, offsetOptional, antiquantScaleOptional, antiquantOffsetOptional, groupListOptional, splitItem, groupType)[%s:%d][%s][%s][%ld] errno[%d] %sPreCheckGroupType failed, groupType is invalid.PreCheckGroupType failed, groupType is invalid.aclnnGroupedMatmulV2aclnnGroupedMatmulV2aclnnGroupedMatmulaclnnGroupedMatmulOpDfxGuardaclnnGroupedMatmulGetWorkspaceSizeaclnnGroupedMatmulGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnGroupedMatmulV2GetWorkspaceSizeaclnnGroupedMatmulV2GetWorkspaceSizeaclnnGroupedMatmulGetWorkspaceSizeCommonPreCheckGroupType~UniqueExecutorGetGMMResultByL0ApiGetGMMResultByL0ApiDataContiguousAndTransFormatTransWeightToNzCheckParamCheckParamDifferentGroupTypeCheckCaseNoSplitCheckCaseSplitKCheckCaseSplitMSplitMSeparatedXSeparatedWeightSingleYSplitMSingleXSeparatedWeightSeparatedYSplitMSingleXSeparatedWeightSingleYSplitMSingleXSingleWeightSingleYCheckParamOptionCheckGroupedMatmulAntiQuantCheckGroupedMatmulQuantCheckNonQuantIsGmmAntiQuantEmptyIsGmmQuantEmptyCheckMatmulDataTypeIsNullptrCheckTensorListDataTypeCheckOptionalTensorListCheckGroupListSplitMCheckGroupListSplitKCheckGroupListCommonCheckNotNullCheckDimNumAndGroupListNoSplitCheckDimNumCheckShapeDiffLengthTensorListSplitAxisCheckShapeDiffLengthTensorListCheckShapeSameLengthTensorListaclnnGtScalaraclnn_gt_scalar.cppaclnnInplaceGtScalarGreaterEqualResult != nullptrGEResultCasted != nullptraclnnInplaceGtScalarOpDfxGuardaclnnInplaceGtScalarGetWorkspaceSizeaclnnGtScalarSplitStringAndPrintOpDfxGuardaclnnGtScalarGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsaclnnGtScalarCommonaclnnGtScalarCommon            aclnnGtTensoraclnn_gt_tensor.cppaclnnInplaceGtTensorresult == ACLNN_SUCCESSselfContiguous4Gt != nullptrgtOpOut != nullptraclnnInplaceGtTensoraclnnGtTensor~UniqueExecutorCheckShapeCheckDtypeValidCheckParams4GtIsNullptrSplitStringAndPrintOpDfxGuardaclnnGtTensorGetWorkspaceSizeaclnnGtTensorGetWorkspaceSize            aclnnHardshrinkaclnn_hardshrink.cppDFX_IN(self, lambd)hardShrinkOutRet != nullptrCheckNotNull(self, lambd, out)aclnnHardshrink~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsExecHardshrinkGetWorkspaceSizeExecHardshrinkGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnHardshrinkGetWorkspaceSizeaclnnHardshrinkBackwardaclnn_hardshrink_backward.cpphardShrinkGrad != nullptrCheckNotNull(gradOutput, self, lambd, gradInput)CheckDtypeValid(gradOutput, self, lambd, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput dtype %s and self dtype %s can not promote dtype.GradOutput dtype %s and self dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %spromote dtype %s should be in dtype support list [%s].promote dtype %s should be in dtype support list [%s].DFX_IN(gradOutput, self, lambd)CheckPromoteType(gradOutput, self, gradInput, promoteType)CheckShapeBroadcast(gradOutput, self, gradInput, resultShape)hardShrinkGradCasted != nullptraclnnHardshrinkBackward~UniqueExecutorCheckShapeBroadcastCheckPromoteTypeCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardshrinkBackwardGetWorkspaceSizeaclnnHardshrinkBackwardGetWorkspaceSizeaclnnHardsigmoidaclnn_hardsigmoid.cppaclnnInplaceHardsigmoidhardsigmoidOpOut != nullptraclnnInplaceHardsigmoidaclnnHardsigmoid~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardsigmoidGetWorkspaceSizeaclnnHardsigmoidGetWorkspaceSizeaclnnHardsigmoidBackwardhardsigmoidGradOut != nullptraclnn_hardsigmoid_backward.cppCheckShape(gradOutput, self, out)gradOutputContiguousCasted != nullptrselfContiguousCasted != nullptrhardsigmoidGradOutCast != nullptraclnnHardsigmoidBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardsigmoidBackwardGetWorkspaceSizeaclnnHardsigmoidBackwardGetWorkspaceSize?*>aclnnHardswishaclnn_hardswish.cppaclnnInplaceHardswishhardswishOpOut != nullptraclnnInplaceHardswishaclnnHardswish~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardswishGetWorkspaceSizeaclnnHardswishGetWorkspaceSizeaclnnHardswishBackwardaclnn_hardswish_backward.cppCheckShapeValid(gradOutput, self, out)hardswishBackwardOpOut != nullptraclnnHardswishBackward~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardswishBackwardGetWorkspaceSizeaclnnHardswishBackwardGetWorkspaceSizeaclnnHardtanhaclnn_hardtanh.cppaclnnInplaceHardtanhhardtanhResult != nullptrDFX_IN(selfRef, clipValueMin, clipValueMax)aclnnInplaceHardtanhOpDfxGuardaclnnInplaceHardtanhGetWorkspaceSizeaclnnHardtanh~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnHardtanhGetWorkspaceSize    aclnnHardtanhBackwardaclnn_hardtanh_backward.cppoutContiguous != nullptrDFX_IN(gradOutput, self, min, max)CheckNotNull(gradOutput, self, min, max, out)CheckShapeValid(gradOutput, self)hardtanhBackwardOpOut != nullptraclnnHardtanhBackward~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnHardtanhBackwardGetWorkspaceSizeaclnnHardtanhBackwardGetWorkspaceSizeaclnnHistcaclnn_histc.cppDFX_IN(self, bins, min, max)CheckShape(self, bins, out)outContiguousFloat != nullptrHistogramCal != nullptrCheckNotNull(self, min, max, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe value of bins can not less or equal 0.The value of bins can not less or equal 0.[%s:%d][%s][%s][%ld] errno[%d] %sThe value of max should greater than min.The value of max should greater than min.CheckValueRange(bins, min->ToFloat(), max->ToFloat())[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s can not cast to promote dtype %s.Self dtype %s can not cast to promote dtype %s.CheckPromoteType(self, out, out->GetDataType())[%s:%d][%s][%s][%ld] errno[%d] %sThe size of out tensor should be same as bins.The size of out tensor should be same as bins.selfContiguousFloat != nullptroutContiguousFloatZero != nullptraclnnHistc~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidCheckValueRangeIsNullptrIsNullptrCheckHistcParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnHistcGetWorkspaceSizeaclnnHistcGetWorkspaceSize aclnnIm2colaclnn_im2col.cppDivision by zero!selfUnsqueeze != nullptrselfReFormat != nullptrim2colOut != nullptroutSqueeze != nullptroutView != nullptroutReFormat != nullptroutCast != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected kernelSize equals to 2, but got size %lu.It is expected kernelSize equals to 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected dilation equals to 2, but got size %lu.It is expected dilation equals to 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected padding equals to 2, but got size %lu.It is expected padding equals to 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected stride equals to 0 、1 or 2, but got size %lu.It is expected stride equals to 0 、1 or 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected kernelSize be greater than zero, but kernelSize No.[%lu] dim is [%ld].It is expected kernelSize be greater than zero, but kernelSize No.[%lu] dim is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected stride be greater than zero, but stride No.[%lu] dim is [%ld].It is expected stride be greater than zero, but stride No.[%lu] dim is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected dilation be greater than zero, but dilation No.[%lu] dim is [%ld].It is expected dilation be greater than zero, but dilation No.[%lu] dim is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected padding be greater than or equal to zero, but padding No.[%lu] dim is [%ld].It is expected padding be greater than or equal to zero, but padding No.[%lu] dim is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sDivision by zero![%s:%d][%s][%s][%ld] errno[%d] %sThe shape (%ld, %ld) of the array calculated by other parameters must be at least one.The shape (%ld, %ld) of the array calculated by other parameters must be at least one.CheckNotNull(self, kernelSize, dilation, padding, stride, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected self dim [%zu] to be 3 or 4 but check failed.Expected self dim [%zu] to be 3 or 4 but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sself'dims is invalid, self No.[%lu] dim is [%ld].self'dims is invalid, self No.[%lu] dim is [%ld].CheckArray(kernelSize, dilation, padding, stride)CheckOutputDims(self, kernelSize, dilation, padding, stride, out)DFX_IN(self, kernelSize, dilation, padding, stride)aclnnIm2col~UniqueExecutordiv_rtnCheckOutputDimsCheckArrayCheckInputDimsIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIm2colGetWorkspaceSizeaclnnIm2colGetWorkspaceSizeaclnnIm2colBackwardaclnn_im2col_backward.cppinputSizeCheckShape(gradOutput, out)gradOutputReshape != nullptrgradOutputReFormat != nullptrcol2imOut != nullptroutTransData != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected inputSize equals to 2, but got size %lu.It is expected inputSize equals to 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected stride equals to 2, but got size %lu.It is expected stride equals to 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sExpected kernelSize be greater than zero, but got kernelSize=(%ld,%ld).Expected kernelSize be greater than zero, but got kernelSize=(%ld,%ld).[%s:%d][%s][%s][%ld] errno[%d] %sExpected stride be greater than zero, but got stride=(%ld,%ld).Expected stride be greater than zero, but got stride=(%ld,%ld).[%s:%d][%s][%s][%ld] errno[%d] %sExpected dilation be greater than zero, but got dilation=(%ld,%ld).Expected dilation be greater than zero, but got dilation=(%ld,%ld).[%s:%d][%s][%s][%ld] errno[%d] %sExpected size of gradOutput's dim 1 to be divisible by the product of kernelSize but got gradOutput.size(1)=%zu and kernelSize=(%ld,%ld).Expected size of gradOutput's dim 1 to be divisible by the product of kernelSize but got gradOutput.size(1)=%zu and kernelSize=(%ld,%ld).CheckNotNull(gradOutput, inputSize, kernelSize, dilation, padding, stride, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected gradOutput dim [%zu] to be 2 or 3 but check failed.Expected gradOutput dim [%zu] to be 2 or 3 but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected out dim [%zu] to be 1 greater than gradOutput dim [%zu] but check failed.Expected out dim [%zu] to be 1 greater than gradOutput dim [%zu] but check failed.CheckArray(gradOutput, inputSize, kernelSize, dilation, padding, stride)DFX_IN(gradOutput, inputSize, kernelSize, dilation, padding, stride)gradOutputUnsqueeze != nullptrgradOutputTransData != nullptraclnnIm2colBackward~UniqueExecutorCheckArrayCheckShapeIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIm2colBackwardGetWorkspaceSizeaclnnIm2colBackwardGetWorkspaceSizeaclnnIndexaclnn_index.cppDFX_IN(self, indices)CheckPtrValid(self)opOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sself not implemented for DT_BF16, when SocVersion is less than ASCEND910B.self not implemented for DT_BF16, when SocVersion is less than ASCEND910B.aclnnIndex~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIndexGetWorkspaceSizeaclnnIndexGetWorkspaceSize    aclnnIndexAddaclnn_index_add.cppindex != nullptrsourceContiguous != nullptrindexAddOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s should be in dtype support list [%s].Self dtype %s should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %sindex dtype %s should be in dtype support list [%s].index dtype %s should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %ssource dtype %s should be in dtype support list [%s].source dtype %s should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %sself dtype %s and source dtype %s must same.self dtype %s and source dtype %s must same.[%s:%d][%s][%s][%ld] errno[%d] %sDimNum of self can't be smaller than or equal to dim.DimNum of self can't be smaller than or equal to dim.[%s:%d][%s][%s][%ld] errno[%d] %sThe size of self must match the size of source at non-singleton dimension %ld.The size of self must match the size of source at non-singleton dimension %ld.[%s:%d][%s][%s][%ld] errno[%d] %sIndex is supposed to be a vector.Index is supposed to be a vector.[%s:%d][%s][%s][%ld] errno[%d] %sNumber of index should be equal to number of source in dim %ld of source.Number of index should be equal to number of source in dim %ld of source.DFX_IN(self, dim, index, source, alpha)CheckNotNull(self, index, source, alpha, out)CheckDtypeValid(self->GetDataType(), index->GetDataType(), source->GetDataType())CheckShape(self, index, source, out, dim)aclnnIndexAdd~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIndexAddGetWorkspaceSizeaclnnIndexAddGetWorkspaceSize   aclnnIndexCopyaclnn_index_copy.cppaclnnInplaceIndexCopyselfTransposed is nullptrDFX_OUT(outRef)[%s:%d][%s][%s][%ld] errno[%d] %ssource dtype %s should be in same with self dtype %s.source dtype %s should be in same with self dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sout dtype %s should be in same with self dtype %s.out dtype %s should be in same with self dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sWhen source is scalar,index should have one element,but got %zu.When source is scalar,index should have one element,but got %zu.[%s:%d][%s][%s][%ld] errno[%d] %sWhen source and self are not scalars,their dimensionality must match,but got self dimensionality %s,source dimensionlity %sWhen source and self are not scalars,their dimensionality must match,but got self dimensionality %s,source dimensionlity %s[%s:%d][%s][%s][%ld] errno[%d] %sSelf and source must have same slice shapesSelf and source must have same slice shapes[%s:%d][%s][%s][%ld] errno[%d] %sselfTransposed is nullptrCheckNotNull(self, index, source, out)CheckDtypeValid(self, index, source, out)CheckShape(self, dim, index, source, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe element num of index (%ld) should be equal to source size in dimension %ldThe element num of index (%ld) should be equal to source size in dimension %ldCheckElementNum(index, source, dim)transposedKernelOut != nullptrDFX_IN(selfRef, dim, index, source)aclnnInplaceIndexCopyaclnnInplaceIndexCopyGetWorkspaceSizeaclnnIndexCopyAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIndexCopyGetWorkspaceSize~UniqueExecutorTransposeBySpecifiedAxisCheckElementNumCheckShapeCheckDtypeValidIsNullptrCheckParamsExecIndexCopyGetWorkspaceSizeExecIndexCopyGetWorkspaceSize     aclnnIndexFillTensoraclnn_index_fill_tensor.cppaclnnInplaceIndexFillTensorcastedTensor != nullptrCheckPromoteType(value)indexFillOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDim value error, input dim[%ld] is greater than self dim[%ld].Dim value error, input dim[%ld] is greater than self dim[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sDim value error, abs(input dim[%ld]) is greater than self dim[%ld].Dim value error, abs(input dim[%ld]) is greater than self dim[%ld].[%s:%d][%s][%s][%ld] errno[%d] %sIndex value[%ld] is out of range, it should be smaller than [%ld].Index value[%ld] is out of range, it should be smaller than [%ld].CheckNotNull(self, index, value, out)CheckShape(self, index, value, dim, out)[%s:%d][%s][%s][%ld] errno[%d] %sType of value do not support complex typeType of value do not support complex typeDFX_IN(self, dim, index, value)aclnnInplaceIndexFillTensoraclnnIndexFillTensor~UniqueExecutorGenerateAssistMatrixCheckPromoteTypeCheckShapeCheckDtypeValidIsNullptrIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIndexFillTensorGetWorkspaceSizeaclnnIndexFillTensorGetWorkspaceSize  aclnnIndexPutImplaclnn_index_put_impl.cppCheckNotNull(selfRef, values)valuesContiguous != nullptrindexPutOpOut != nullptr[%s:%d][%s][%s][%ld] %sIndexPutV2 not support int16 or float64[%s:%d][%s][%s][%ld] %sIndexPutV2 not support indices num greater than 60000000.[%s:%d][%s][%s][%ld] %sIndexPutV2 Indices_number > 100 and input_dtype is not float, aicore does not support.[%s:%d][%s][%s][%ld] %sIndexPutV2 Indices_number > 100 and input_dtype is float16 or float, aicore does not support accumulate false when SocVersion is less than ASCEND910B.[%s:%d][%s][%s][%ld] %sIndexPutV2 Indices_number > 100 and input_dtype is uint8 or int64, aicore does not support.[%s:%d][%s][%s][%ld] %sIndexPutV2 Indices_number > 100 and input_dtype is uint8, int8 or int64, aicore does not support.[%s:%d][%s][%s][%ld] errno[%d] %svalue not implemented for DT_BF16, when SocVersion is less than ASCEND910B.value not implemented for DT_BF16, when SocVersion is less than ASCEND910B.DFX_IN(selfRef, indices, values, accumulate, unsafe)CheckDtypeValid(selfRef, values)CheckDtypeEqual(selfRef, values)aclnnIndexPutImpl~UniqueExecutorIsAiCPUSupportCheckDtypeEqualCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIndexPutImplGetWorkspaceSizeaclnnIndexPutImplGetWorkspaceSize    aclnnIndexSelectaclnn_index_select.cppCheckFormat(self, index, out)selectResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %ssocVersion %s does not support BF16.socVersion %s does not support BF16.[%s:%d][%s][%s][%ld] errno[%d] %sself is scalar, and out should also be scalarself is scalar, and out should also be scalar[%s:%d][%s][%s][%ld] errno[%d] %sIndexError: Dimension out of range (expected to be in range of [%ld, %ld], but got %ld)IndexError: Dimension out of range (expected to be in range of [%ld, %ld], but got %ld)[%s:%d][%s][%s][%ld] errno[%d] %sindex dimNum is %ld, should not greater than 1index dimNum is %ld, should not greater than 1[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW.Format only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW.aclnnIndexSelect~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIndexSelectGetWorkspaceSizeaclnnIndexSelectGetWorkspaceSize    aclnnInverseaclnn_inverse.cppmatrixInverseOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe input tensor must be batches of square matrices, but they are %ld by %ld matricesThe input tensor must be batches of square matrices, but they are %ld by %ld matricesaclnnInverse~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInverseGetWorkspaceSizeaclnnInverseGetWorkspaceSize aclnnIsCloseaclnn_isclose.cppisCloseOpOut != nullptrDFX_IN(self, other, rtol, atol, equal_nan)aclnnIsClose~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIsCloseGetWorkspaceSizeaclnnIsCloseGetWorkspaceSize    aclnnIsFiniteaclnn_isfinite.cppscalar != nullptrisfiniteResult != nullptraclnnIsFinite~UniqueExecutorGetTrueTensorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIsFiniteGetWorkspaceSizeaclnnIsFiniteGetWorkspaceSize      aclnnIsInScalarTensoraclnn_isin.cppelementtestElementsCheckShape(testElements, out)testElementsCasted != nullptrelementTensor != nullptrDFX_IN(element, testElements, assumeUnique, invert)CheckNotNull(element, testElements, out)CheckDtypeValid(element, testElements, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected element %s and testElements %s can promote dtype but check failed.Expected element %s and testElements %s can promote dtype but check failed.CheckPromoteType(element, testElements, out)testElementsContiguous != nullptraclnnIsInScalarTensor~UniqueExecutorFillScalarCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnIsInScalarTensorGetWorkspaceSizeaclnnIsInScalarTensorGetWorkspaceSize    aclnnIsInTensorScalaraclnn_isin_tensor_scalar.cpptestElementDFX_IN(element, testElement)CheckShape(element, out)elementContiguous != nullptrelementCasted != nullptrtestElementTensor != nullptrisInOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %selement dtype %s and testElement dtype %s can not promote dtype.element dtype %s and testElement dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %selement dtype %s and testElement dtype %s get promoteType dtype %s should be in dtype support list [%s].element dtype %s and testElement dtype %s get promoteType dtype %s should be in dtype support list [%s].CheckNotNull(element, testElement, out)CheckDtypeValid(element, testElement, out)aclnnIsInTensorScalar~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIsInTensorScalarGetWorkspaceSizeaclnnIsInTensorScalarGetWorkspaceSize    aclnnIsNegInfaclnn_isneginf.cppisNegInfResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saclnnIsNegInf is not supported on this device.aclnnIsNegInf is not supported on this device.aclnnIsNegInf~UniqueExecutorCheckDtypeValidCheckShapeIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIsNegInfGetWorkspaceSizeaclnnIsNegInfGetWorkspaceSize  aclnnIsPosInfaclnn_isposinf.cppIsPosInfResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saclnnIsPosInf is not supported on this device.aclnnIsPosInf is not supported on this device.aclnnIsPosInf~UniqueExecutorCheckDtypeValidCheckShapeIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnIsPosInfGetWorkspaceSizeaclnnIsPosInfGetWorkspaceSize  aclnnKlDivaclnn_kl_div.cppklRes != nullptrcntTensor != nullptrbatchmeanDFX_IN(self, target, reduction, logTarget)CheckPromoteType(self, target, out)CheckShape(self, target, out, reduction)aclnnKlDiv~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnKlDivGetWorkspaceSizeaclnnKlDivGetWorkspaceSizeaclnnKlDivBackwardaclnn_kl_div_backward.cppgrad != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExcept shape of self to be %s, but current is %s.Except shape of self to be %s, but current is %s.DFX_IN(gradOutput, self, target, reduction, logTarget)CheckDtypeValid(gradOutput, self, target, out)CheckShape(gradOutput, self, target, out)aclnnKlDivBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnKlDivBackwardGetWorkspaceSizeaclnnKlDivBackwardGetWorkspaceSize aclnnKthvalueaclnn_kthvalue.cppvaluesThe shape of input is invalidCheckParamValid(self, k, dim)DFX_IN(self, k, dim, keepdim)selfReshape != nullptrvaluesSortOut != nullptrindicesSortOut != nullptrindicesCastInt64 != nullptrCheckNotNull(self, values, indices)[%s:%d][%s][%s][%ld] errno[%d] %sThe shape of input is invalid[%s:%d][%s][%s][%ld] errno[%d] %sSelected index k out or range (max num of self.size(%ld) is %ld, but k is %ld)Selected index k out or range (max num of self.size(%ld) is %ld, but k is %ld)CheckDtypeValid(self, values, indices)valuesSortOutNoTrans != nullptr && indicesSortOutNoTrans != nullptrvaluesSortOut != nullptr && indicesSortOut!= nullptrvalues != nullptr && indices != nullptrvaluesSqueeze != nullptr && indicesSqueeze != nullptrviewCopyValuesResult != nullptraclnnKthvalue~UniqueExecutorCheckShapeCheckDtypeValidCheckParamValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnKthvalueGetWorkspaceSizeaclnnKthvalueGetWorkspaceSize  aclnnL1Lossaclnn_l1_loss.cpptargetBroadcast != nullptrlossOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype should be either floating point or complex dtypes. Got %s instead.Input dtype should be either floating point or complex dtypes. Got %s instead.[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype should be either floating point or complex dtypes. Got self %s and target %s instead.Input dtype should be either floating point or complex dtypes. Got self %s and target %s instead.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and target dtype %s can not be promoted.Self dtype %s and target dtype %s can not be promoted.[%s:%d][%s][%s][%ld] errno[%d] %sExpected a 0-dimensional tensor, but Shape of out is %s.Expected a 0-dimensional tensor, but Shape of out is %s.DFX_IN(self, target, reduction)[%s:%d][%s][%s][%ld] errno[%d] %sExpected reduction to be 0 or 1 or 2, but got %ld.Expected reduction to be 0 or 1 or 2, but got %ld.CheckDtypeValid(self, target, out, reduction)broadcastShapeArray != nullptraclnnL1Loss~UniqueExecutorFillScalarL1LossEmptyTensorComputeCheckShapeCheckDtypeValidCheckReductionIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnL1LossGetWorkspaceSizeaclnnL1LossGetWorkspaceSize  aclnnL1LossBackwardaclnn_l1_loss_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sTarget dtype %s, GradOutput dtype %s and Self dtype %s can not be promoted.Target dtype %s, GradOutput dtype %s and Self dtype %s can not be promoted.[%s:%d][%s][%s][%ld] errno[%d] %spromoteType dtype %s should be in dtype support list [%s].promoteType dtype %s should be in dtype support list [%s].DFX_IN(gradOutput, self, target, reduction)CheckNotNull(gradOutput, self, target, gradInput)CheckDtypeValid(gradOutput, self, target, gradInput)CheckShape(gradOutput, self, target, gradInput)aclnnL1LossBackward~UniqueExecutorCheckShapeCheckDtypeValidCheckReductionIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnL1LossBackwardGetWorkspaceSizeaclnnL1LossBackwardGetWorkspaceSizeaclnnLayerNormWithImplModeaclnn_layer_norm.cppaclnnLayerNormbiasOptionalmeanOutOptionalrstdOutOptionalnormalizedShapeCheckImplMode(implMode)biasContiguous != nullptroutRes != nullptroutViewCopy != nullptrmeanRes != nullptrmeanViewCopy != nullptrrstdRes != nullptrrstdCast != nullptrrstdViewCopy != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm normalizedShape dim [%zu] to not be greater than [%zu] but check failed.Expected aclnnLayerNorm normalizedShape dim [%zu] to not be greater than [%zu] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm normalizedShape len [%zu] to be greater than [%zu] but check failed.Expected aclnnLayerNorm normalizedShape len [%zu] to be greater than [%zu] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm weight shape size [%ld] to be equal to [%ld] but check failed.Expected aclnnLayerNorm weight shape size [%ld] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm normalizedShape size [%ld] to be equal to [%ld] but check failed.Expected aclnnLayerNorm normalizedShape size [%ld] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm meanOutOptional shape %s size to be equal to %ld but check failed.Expected aclnnLayerNorm meanOutOptional shape %s size to be equal to %ld but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNorm rstdOutOptional shape %s size to be equal to %ld but check failed.Expected aclnnLayerNorm rstdOutOptional shape %s size to be equal to %ld but check failed.DFX_IN(input, normalizedShape, weightOptional, biasOptional, eps, implMode)DFX_OUT(out, meanOutOptional, rstdOutOptional)CheckNotNull(input, normalizedShape, out)CheckInputDtype(input, weightOptional, biasOptional)CheckOutputDtype(out, meanOutOptional, rstdOutOptional)CheckShape(input, normalizedShape, weightOptional, biasOptional, out, meanOutOptional, rstdOutOptional, M, N)[%s:%d][%s][%s][%ld] errno[%d] %sExpected implMode to be in [0, 1, 2], but now got [%d].Expected implMode to be in [0, 1, 2], but now got [%d].aclnnLayerNormaclnnLayerNormWithImplMode~UniqueExecutorCheckImplModeCheckArrayLenCheckLenCheckShapeCheckOutputDtypeCheckInputDtypeCheckParamsWithImplModeIsNullptrIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLayerNormWithImplModeGetWorkspaceSizeaclnnLayerNormWithImplModeGetWorkspaceSizeaclnnLayerNormBackwardaclnn_layer_norm_backward.cpptempOut != nullptrtempCast != nullptroutputViewCopy != nullptrgradInputOutgradWeightOutgradBiasOutoutputMaskTempWeightRes != nullptr[%s:%d][%s][%s][%ld] %sEntering into GenOutWithMask Func.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward normalizedShape len [%zu] to not be greater than [%zu] but check failed.Expected aclnnLayerNormBackward normalizedShape len [%zu] to not be greater than [%zu] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward normalizedShape len [%zu] to not be less than [%zu] but check failed.Expected aclnnLayerNormBackward normalizedShape len [%zu] to not be less than [%zu] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward mean shape size %s to be equal to %ld but check failed.Expected aclnnLayerNormBackward mean shape size %s to be equal to %ld but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward weightOptional size [%s] to be equal to [%ld] but check failed.Expected aclnnLayerNormBackward weightOptional size [%s] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward biasOptional size [%s] to be equal to [%ld] but check failed.Expected aclnnLayerNormBackward biasOptional size [%s] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward normalizedShape size [%ld] to be equal to [%ld] but check failed.Expected aclnnLayerNormBackward normalizedShape size [%ld] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward gradWeightOut shape size [%s] to be equal to [%ld] but check failed.Expected aclnnLayerNormBackward gradWeightOut shape size [%s] to be equal to [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnLayerNormBackward gradBiasOut shape size [%s] to be equal to [%ld] but check failed.Expected aclnnLayerNormBackward gradBiasOut shape size [%s] to be equal to [%ld] but check failed.DFX_IN(gradOut, input, normalizedShape, mean, rstd, weightOptional, biasOptional, outputMask)DFX_OUT(gradInputOut, gradWeightOut, gradBiasOut)[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type List[bool] for argument %s but instead found type null.expected a value of type List[bool] for argument %s but instead found type null.CheckNotNull(gradOut, input, normalizedShape, mean, rstd, outputMask, gradInputOut, gradWeightOut, gradBiasOut)CheckDtype(gradOut, input, mean, rstd, weightOptional, biasOptional, gradInputOut, gradWeightOut, gradBiasOut)CheckShape(gradOut, input, normalizedShape, mean, rstd, weightOptional, biasOptional, outputMask, gradInputOut, gradWeightOut, gradBiasOut, M, N)[%s:%d][%s][%s][%ld] %sEntering into layer_norm_grad Func.[%s:%d][%s][%s][%ld] %sEntering into layer_norm_backward split ops Func.betaGammaBackpropV2Res[0] != nullptrbetaGammaBackpropV2Res[1] != nullptraclnnLayerNormBackward~UniqueExecutorGenOutWithMaskCheckShapeCheckDtypeCheckParamsIsNullptrIsNullptrIsNullptrSplitStringAndPrintOpDfxGuardaclnnLayerNormBackwardGetWorkspaceSizeaclnnLayerNormBackwardGetWorkspaceSizeaclnnLeScalaraclnn_le_scalar.cppaclnnInplaceLeScalarleResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sout dtype %s should be in dtype support list [%s].out dtype %s should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %sself shape is different with out shape, self [%s], out [%s].self shape is different with out shape, self [%s], out [%s].aclnnInplaceLeScalarOpDfxGuardaclnnInplaceLeScalarGetWorkspaceSizeaclnnLeScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsaclnnLeScalarCommonaclnnLeScalarCommonSplitStringAndPrintOpDfxGuardaclnnLeScalarGetWorkspaceSize    aclnnLeTensoraclnn_le_tensor.cppaclnnInplaceLeTensorlessEqualOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sOut dtype %s should be in dtype support list [%s].CheckOutShape(self, other, out)aclnnInplaceLeTensorOpDfxGuardaclnnInplaceLeTensorGetWorkspaceSizeaclnnLeTensor~UniqueExecutorCheckOutShapeCheckPromoteTypeCheckDtypeValidCheckParamsIsNullptraclnnLeTensorCommonaclnnLeTensorCommonSplitStringAndPrintOpDfxGuardaclnnLeTensorGetWorkspaceSize    aclnnLeakyReluaclnn_leaky_relu.cppaclnnInplaceLeakyRelunegativeSlopeDFX_IN(self, negativeSlope)CheckNotNull(self, negativeSlope, out)aclnnInplaceLeakyReluaclnnLeakyRelu~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLeakyReluGetWorkspaceSizeaclnnLeakyReluGetWorkspaceSize  aclnnLeakyReluBackwardaclnn_leaky_relu_backward.cppgradOutputCast != nullptrCheckNotNull(gradOutput, self, negativeSlope, out)[%s:%d][%s][%s][%ld] errno[%d] %sIn-place leakyRelu backward calculation is triggered with a negativeSlope which is not supported.In-place leakyRelu backward calculation is triggered with a negativeSlope which is not supported.CheckIsResult(negativeSlope, selfIsResult)[%s:%d][%s][%s][%ld] errno[%d] %sExpected gradOutputDtype %s and selfDtype %s can promote dtype but check fail.Expected gradOutputDtype %s and selfDtype %s can promote dtype but check fail.CheckPromoteType(gradOutput->GetDataType(), self->GetDataType(), out->GetDataType())DFX_IN(gradOutput, self, negativeSlope, selfIsResult)aclnnLeakyReluBackward~UniqueExecutorCheckPromoteTypeCheckIsResultCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLeakyReluBackwardGetWorkspaceSizeaclnnLeakyReluBackwardGetWorkspaceSize  aclnnLerpsaclnn_lerp_scalar.cppaclnnInplaceLerpsendContiguous != nullptrlerpResult != nullptrlerpResultCasted != nullptrDFX_IN(self, end, weight)DFX_IN(selfRef, end, weight)[%s:%d][%s][%s][%ld] errno[%d] %sShape of self and end can't broadcast.Shape of self and end can't broadcast.CheckNotNull(self, end, weight, out)CheckDtypeValid(self, end, weight, out)CheckShape(self, end, weight, out)aclnnInplaceLerpsaclnnLerpsOpDfxGuardaclnnInplaceLerpsGetWorkspaceSizeaclnnInplaceLerpsGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsCalculateResultSplitStringAndPrintOpDfxGuardaclnnLerpsGetWorkspaceSizeaclnnLerpsGetWorkspaceSize  aclnnLerpaclnn_lerp_tensor.cppaclnnInplaceLerp[%s:%d][%s][%s][%ld] errno[%d] %sShape of self, end and weight can't broadcast.Shape of self, end and weight can't broadcast.aclnnInplaceLerpaclnnLerpOpDfxGuardaclnnInplaceLerpGetWorkspaceSizeaclnnInplaceLerpGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsCalculateResultSplitStringAndPrintOpDfxGuardaclnnLerpGetWorkspaceSizeaclnnLerpGetWorkspaceSizeaclnnLgammaaclnn_lgamma.cpplgammaResult != nullptraclnnLgamma~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLgammaGetWorkspaceSizeaclnnLgammaGetWorkspaceSize aclnnLinalgCrossaclnn_linalg_cross.cppselfBroadCast != nullptrotherBroadCast != nullptrcrossOpOut != nullptrDFX_IN(self, other, dim)[%s:%d][%s][%s][%ld] errno[%d] %sexpected consistent tensor shape for the broadcast shape and out, but got %s and %s respectively.expected consistent tensor shape for the broadcast shape and out, but got %s and %s respectively.CheckBroadcastShape(self, other, out)[%s:%d][%s][%s][%ld] errno[%d] %sDimension out of range(expected to be in range of [%ld, %ld], but got %ld.Dimension out of range(expected to be in range of [%ld, %ld], but got %ld.[%s:%d][%s][%s][%ld] %sempty input tensor[%s:%d][%s][%s][%ld] errno[%d] %sdimension %ld does not have size 3.dimension %ld does not have size 3.aclnnLinalgCross~UniqueExecutorCheckDimCheckBroadcastShapeCheckShapeCheckDtypeValidIsNullptrCheckParamsExecLinalgCrossGetWorkspaceSizeExecLinalgCrossGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLinalgCrossGetWorkspaceSize  aclnnLinalgQraclnn_linalg_qr.cppQDFX_IN(self, mode)DFX_OUT(Q, R)CheckNotNull(self, Q, R)CheckDtypeValid(self, Q, R)CheckShape(self, mode, Q, R)castOutQ != nullptrcastOutR != nullptrviewCopyResultQ != nullptrviewCopyResultR != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe output Q should have the following shape %s, but got %s instead.The output Q should have the following shape %s, but got %s instead.[%s:%d][%s][%s][%ld] errno[%d] %sThe output R should have the following shape %s, but got %s instead.The output R should have the following shape %s, but got %s instead.resultQ != nullptr && resultR != nullptraclnnLinalgQr~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLinalgQrGetWorkspaceSizeaclnnLinalgQrGetWorkspaceSize aclnnLinalgVectorNormaclnn_linalg_vector_norm.cppordCheckDimsValue(self, dims)CheckOrdValue(ord)zeroOut != nullptrselfContiguousCast != nullptrnormOut != nullptrupdateOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sdtype %s not in dtype support list [%s].dtype %s not in dtype support list [%s].CheckNotNull(self, ord, dims, out)CheckDtypeValid(self, op::ToOpDataType(dtype), out)[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype %s and output dtype %s can not promote dtype.Input dtype %s and output dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sdim %ld appears multiple times in the list of dimsdim %ld appears multiple times in the list of dims[%s:%d][%s][%s][%ld] errno[%d] %sord must one of [%s], but find %f.ord must one of [%s], but find %f.DFX_IN(self, ord, dims, keepDims, dtype)aclnnLinalgVectorNorm~UniqueExecutorCheckOrdValueCheckDimsValueCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLinalgVectorNormGetWorkspaceSizeaclnnLinalgVectorNormGetWorkspaceSize?@@@aclnnLinspaceaclnn_linspace.cppCheckNotNull(start, end, out)DFX_IN(start, end, steps)linspaceOutRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %snumber of steps must be non-negative.number of steps must be non-negative.[%s:%d][%s][%s][%ld] errno[%d] %ssize of out must equal to steps, but got size of out %ld, steps: %ld.size of out must equal to steps, but got size of out %ld, steps: %ld.CheckParamsLogic(out, steps) == ACLNN_SUCCESSaclnnLinspace~UniqueExecutorFillScalarCheckParamsLogicCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLinspaceGetWorkspaceSizeaclnnLinspaceGetWorkspaceSize  aclnnLogaclnn_log.cppaclnnInplaceLogDFX_IN(self, out)aclnnInplaceLogaclnnLogCheckInplaceaclnnInplaceLogGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogGetWorkspaceSizeaclnnLogGetWorkspaceSize      aclnnLog10aclnn_log10.cppaclnnInplaceLog10aclnnInplaceLog10aclnnLog10OpDfxGuardaclnnInplaceLog10GetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLog10GetWorkspaceSizeaclnnLog10GetWorkspaceSize     AaclnnLog1paclnn_log1p.cppaclnnInplaceLog1plog1pOpOut != nullptrCheckInplaceDtypeValid(self)aclnnInplaceLog1paclnnLog1pCheckInplaceDtypeValidCheckInplaceParamsOpDfxGuardaclnnInplaceLog1pGetWorkspaceSizeaclnnInplaceLog1pGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecLog1pGetWorkspaceSizeExecLog1pGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnLog1pGetWorkspaceSize      aclnnLog2aclnn_log2.cppaclnnInplaceLog2aclnnInplaceLog2OpDfxGuardaclnnInplaceLog2GetWorkspaceSizeaclnnLog2~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsaclnnLog2CommonaclnnLog2CommonSplitStringAndPrintOpDfxGuardaclnnLog2GetWorkspaceSize       @aclnnLogAddExpaclnn_logaddexp.cppfinalOut != nullptraclnnLogAddExp~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogAddExpGetWorkspaceSizeaclnnLogAddExpGetWorkspaceSizeaclnnLogAddExp2aclnn_logaddexp2.cppaclnnLogAddExp2~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogAddExp2GetWorkspaceSizeaclnnLogAddExp2GetWorkspaceSizeaclnnLogdetaclnn_logdet.cppselfReshapeOut != nullptroffset != nullptrlogValue != nullptrlogReshapeOut != nullptrlogCastOut != nullptrlogCopyResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe self's dtype is %s, out's dtype should also be complex type but got signOut with dtype %s.The self's dtype is %s, out's dtype should also be complex type but got signOut with dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sThe last two dimensions of self must be equal, but they are %ld by %ld matrices.The last two dimensions of self must be equal, but they are %ld by %ld matrices.[%s:%d][%s][%s][%ld] errno[%d] %sexpect shape of out is %s, but got %s.expect shape of out is %s, but got %s.aclnnLogdet~UniqueExecutorReshapeDimCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogdetGetWorkspaceSizeaclnnLogdetGetWorkspaceSize aclnnLogicalAndaclnn_logical_and.cppaclnnInplaceLogicalAndlogical_andOpOut != nullptraclnnInplaceLogicalAndaclnnLogicalAndOpDfxGuardaclnnInplaceLogicalAndGetWorkspaceSizeaclnnInplaceLogicalAndGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsCalculateResultSplitStringAndPrintOpDfxGuardaclnnLogicalAndGetWorkspaceSizeaclnnLogicalAndGetWorkspaceSize  aclnnLogicalNotaclnn_logical_not.cppaclnnInplaceLogicalNotresultCasted != nullptraclnnInplaceLogicalNotaclnnLogicalNotOpDfxGuardaclnnInplaceLogicalNotGetWorkspaceSizeaclnnInplaceLogicalNotGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsCalculateResultSplitStringAndPrintOpDfxGuardaclnnLogicalNotGetWorkspaceSizeaclnnLogicalNotGetWorkspaceSize  aclnnLogicalOraclnn_logical_or.cppaclnnInplaceLogicalOrlogical_orOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnLogicalOr is not support bfloat16 in current socversion.Input dtype of aclnnLogicalOr is not support bfloat16 in current socversion.aclnnInplaceLogicalOrOpDfxGuardaclnnInplaceLogicalOrGetWorkspaceSizeaclnnLogicalOr~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsGetWorkspaceSizeCommonGetWorkspaceSizeCommonSplitStringAndPrintOpDfxGuardaclnnLogicalOrGetWorkspaceSize  aclnnLogicalXoraclnn_logical_xor.cppinputViewsCasted != nullptrinputCastedAll != nullptrselfCastedAll != nullptrotherCastedAll != nullptrlogical_xorOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnLogicalXor is not support bfloat16 in current socversion.Input dtype of aclnnLogicalXor is not support bfloat16 in current socversion.aclnnLogicalXor~UniqueExecutorInputProcessForComplexCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogicalXorGetWorkspaceSizeaclnnLogicalXorGetWorkspaceSize  aclnnLogSigmoidaclnn_logsigmoid.cppaclnnLogSigmoidForwardDFX_OUT(out, buffer)aclnnLogSigmoidForwardaclnnLogSigmoidOpDfxGuardaclnnLogSigmoidForwardGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecLogSigmoidGetWorkspaceSizeExecLogSigmoidGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnLogSigmoidGetWorkspaceSizeaclnnLogSigmoidBackwardaclnn_logsigmoid_backward.cppDFX_IN(gradOutput, self, buffer)CheckDtypeValid(gradOutput, self, gradInput)CheckShapeValid(gradOutput, self, gradInput)logsigmoidGradOpOut != nullptraclnnLogSigmoidBackward~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLogSigmoidBackwardGetWorkspaceSizeaclnnLogSigmoidBackwardGetWorkspaceSizeaclnnLogSoftmaxaclnn_logsoftmax.cppLogSoftmaxCal != nullptr[%s:%d][%s][%s][%ld] errno[%d] %saclnnLogSoftmax is not support bfloat16 in current socversion.aclnnLogSoftmax is not support bfloat16 in current socversion.[%s:%d][%s][%s][%ld] errno[%d] %sprovided dim %ld not in the range of input size %ld.provided dim %ld not in the range of input size %ld.aclnnLogSoftmax~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidCheckDimIsNullptrCheckLogSoftmaxParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLogSoftmaxGetWorkspaceSizeaclnnLogSoftmaxGetWorkspaceSize aclnnLogSoftmaxBackwardaclnn_logsoftmax_backward.cppCheckDim(gradOutput, dim)output_contiguous != nullptr[%s:%d][%s][%s][%ld] %sEntering aclnnLogSoftmaxBackward[%s:%d][%s][%s][%ld] errno[%d] %saclnnLogSoftmaxBackward is not support bfloat16 in current socversion.aclnnLogSoftmaxBackward is not support bfloat16 in current socversion.[%s:%d][%s][%s][%ld] errno[%d] %sDim of input tensor can't be greater than 8.Dim of input tensor can't be greater than 8.DFX_IN(gradOutput, output, dim)CheckNotNull(gradOutput, output, out)CheckDtypeValid(gradOutput, output)CheckShape(gradOutput, output, out)gradOutput_contiguous != nullptraclnnLogSoftmaxBackwardaclnnLogSoftmaxBackward~UniqueExecutorCheckShapeCheckDimCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLogSoftmaxBackwardGetWorkspaceSizeaclnnLogSoftmaxBackwardGetWorkspaceSizeaclnnLogSumExpaclnn_logsumexp.cppselfMax != nullptrselfSubMax != nullptrlogSumExpOpOut != nullptrabsSelfMax != nullptrinfMask != nullptrinfZeroSelfMax != nullptrlogSumExpAddOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sprovided dim %ld not in the range of input tensor size %ld.provided dim %ld not in the range of input tensor size %ld.[%s:%d][%s][%s][%ld] errno[%d] %sDim %ld appears multiple times in the list of dimsDim %ld appears multiple times in the list of dimslogSumExpAddOutCasted != nullptraclnnLogSumExp~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnLogSumExpGetWorkspaceSizeaclnnLogSumExpGetWorkspaceSize  aclnnLtScalaraclnn_lt_scalar.cppaclnnInplaceLtScalarltOpOut != nullptraclnnInplaceLtScalaraclnnLtScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLtScalarGetWorkspaceSizeaclnnLtScalarGetWorkspaceSize      aclnnLtTensoraclnn_lt_tensor.cppaclnnInplaceLtTensoraclnnInplaceLtTensoraclnnLtTensor~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnLtTensorGetWorkspaceSizeaclnnLtTensorGetWorkspaceSize      aclnnInplaceMaskedFillScalaraclnn_masked_fill_scalar.cppDFX_IN(selfRef, mask, value)CheckShape(selfRef, mask)maskCasted != nullptrmaskfillOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnInplaceMaskedFillScalar is not support bfloat16 in current socversion.Input dtype of aclnnInplaceMaskedFillScalar is not support bfloat16 in current socversion.CheckNotNull(selfRef, mask, value)CheckDtypeValid(selfRef, mask)aclnnInplaceMaskedFillScalar~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceMaskedFillScalarGetWorkspaceSizeaclnnInplaceMaskedFillScalarGetWorkspaceSize  aclnnInplaceMaskedFillTensoraclnn_masked_fill_tensor.cppvalueContiguous != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnInplaceMaskedFillTensor is not support bfloat16 in current socversion.Input dtype of aclnnInplaceMaskedFillTensor is not support bfloat16 in current socversion.CheckShape(selfRef, mask, value)aclnnInplaceMaskedFillTensor~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceMaskedFillTensorGetWorkspaceSizeaclnnInplaceMaskedFillTensorGetWorkspaceSize aclnnInplaceMaskedScatteraclnn_masked_scatter.cppDFX_IN(selfRef, mask, source)maskBool != nullptrmaskedScatterOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %ssource dtype %s should be same with selfRef [%s].source dtype %s should be same with selfRef [%s].[%s:%d][%s][%s][%ld] errno[%d] %starget selfRef sizes %s ,source mask sizes %starget selfRef sizes %s ,source mask sizes %s[%s:%d][%s][%s][%ld] errno[%d] %sthe number of dimensions in selfRef tensor must be greater or equal to the mask tensorthe number of dimensions in selfRef tensor must be greater or equal to the mask tensorCheckNotNull(selfRef, mask, source)CheckDtypeValid(selfRef, mask, source)CheckShape(selfRef, mask, source)aclnnInplaceMaskedScatter~UniqueExecutorisMaskCanExpandToSelfRefCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceMaskedScatterGetWorkspaceSizeaclnnInplaceMaskedScatterGetWorkspaceSize     aclnnMaskedSelectaclnn_masked_select.cppDFX_IN(self, mask)CheckNotNull(self, mask, y)CheckShape(self, mask, y)[%s:%d][%s][%s][%ld] errno[%d] %sThe out shape size is not same with broadcastShapeSize.The out shape size is not same with broadcastShapeSize.CheckDtypeValid(self, mask, y)aclnnMaskedSelect~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaskedSelectGetWorkspaceSizeaclnnMaskedSelectGetWorkspaceSize     aclnnMatmulaclnn_matmul.cppMatmul not support %s, %smat2 != nullptrCheckShapeValid(self, mat2)mat2_unsqueeze != nullptrself_unsqueeze != nullptrself_reshape != nullptrmatReshape != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s or mat2 dtype %s not support under keep type mode.Self dtype %s or mat2 dtype %s not support under keep type mode.[%s:%d][%s][%s][%ld] errno[%d] %sMatmul not support %s, %s[%s:%d][%s][%s][%ld] errno[%d] %sSelf dimSize [%ld] should be same as mat2 dimSize [%ld].Self dimSize [%ld] should be same as mat2 dimSize [%ld].CheckDtypeValid(self, mat2, out, cubeMathType)[%s:%d][%s][%s][%ld] errno[%d] %sInternal error self: %s, mat2: %sInternal error self: %s, mat2: %saclnnMatmul~UniqueExecutorBuildBatchMatmulGraphContiguousUnsqueezeNdBuildDotGraphProcessEmptyTensorBuildMatMulGraphCheckShapeValidCheckDtypeValidIsNullptrCheckParamAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMatmulGetWorkspaceSizeaclnnMatmulGetWorkspaceSizeHcclGetRankSize failed.retParam == ACLNN_SUCCESSMatmulAllReduceAicpuaclnn_matmul_all_reduce.cpp[%s:%d][%s][%s][%ld] errno[%d] %sHcclGetRankSize failed.[%s:%d][%s][%s][%ld] errno[%d] %saclnn SetGroupTopInfo failed, ranksize:%u.aclnn SetGroupTopInfo failed, ranksize:%u.[%s:%d][%s][%s][%ld] %saclnn SetGroupTopInfo succeed, ranksize:%u.[%s:%d][%s][%s][%ld] errno[%d] %saclnn CheckSupportRankSize failed, ranksize:%ld, Ascend310P currently supports rankSize 1,2,4aclnn CheckSupportRankSize failed, ranksize:%ld, Ascend310P currently supports rankSize 1,2,4[%s:%d][%s][%s][%ld] %sMatmulAllReduce, Recieved weight format is ACL_FORMAT_ND[%s:%d][%s][%s][%ld] %sMatmulAllReduce, Recieved weight format is ACL_FORMAT_FRACTAL_NZ[%s:%d][%s][%s][%ld] %sMatmulAllReduce, Shape is %lu[%s:%d][%s][%s][%ld] errno[%d] %sExpected last dim of x1 to be equal to first dim of x2, but got x1 shape: %s, x2 shape: %s.Expected last dim of x1 to be equal to first dim of x2, but got x1 shape: %s, x2 shape: %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reduceOp to be sum, but got %s.Expected reduceOp to be sum, but got %s.CheckAttr(reduceOp, streamMode)CheckShape(x1, x2, bias, output)[%s:%d][%s][%s][%ld] %sMatmulAllReduce, isKValueZeroNeedExec: %u, kValue: %d.[%s:%d][%s][%s][%ld] %sMatmulAllReduce, dealing with empty tensor.[%s:%d][%s][%s][%ld] errno[%d] %sFailed to make sure group topo set, group: %s.Failed to make sure group topo set, group: %s.[%s:%d][%s][%s][%ld] errno[%d] %sFailed to CheckSupportRankSize, group: %s.Failed to CheckSupportRankSize, group: %s.[%s:%d][%s][%s][%ld] %sMatmulAllReduce, aclnnnMatmulAllReduceGetWorkspaceSize ret %d[%s:%d][%s][%s][%ld] %sGroup %s, reduce op %s, trans flag %u %u, ret %d.[%s:%d][%s][%s][%ld] %sMatmulAllReduce, end ret %d[%s:%d][%s][%s][%ld] %sMatmulAllReduce, NnopbaseGetInputTensorAddr: %p[%s:%d][%s][%s][%ld] %sMatmulAllReduce, apiParam.context: %ld %p[%s:%d][%s][%s][%ld] errno[%d] %sTilingData size is %u more than %u.TilingData size is %u more than %u.[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduce, This is an error in launch aicpu.MatmulAllReduce, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sMatmulAllReduce, aclnnnMatmulAllReduce ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduce, This is an error in launch aicoreMatmulAllReduce, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sMatmulAllReduce, end. notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sMatmulAllReduce, end. aicpuNotify=nullptr. notify %p stream %paclnnMatmulAllReduceaclnnMatmulAllReduce~UniqueExecutorIsWeightNZFormatCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnMatmulAllReduceGetWorkspaceSizeaclnnMatmulAllReduceGetWorkspaceSizeCheckSupportRankSizeMakeSureGroupTopoInfoSetASCEND_MC2_DEBUG_MODEresidualaclnn_matmul_all_reduce_add_rms_norm.cppCheckNotNull(x1, x2, residual, gamma)[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, dealing with empty tensor.streamMode == NUM_ACL_STOP_ON_FAILURE[%s:%d][%s][%s][%ld] %sGroup %s, reduce op %s, trans flag %u %u, epsilon %lf, ret %d.[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, end ret %d[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, NnopbaseGetInputTensorAddr: %p[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, apiParam.context: %ld %pMatmulAllReduceAddRmsNormAicpu[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduceAddRmsNorm, This is an error in launch aicpu.MatmulAllReduceAddRmsNorm, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, aclnnnMatmulAllReduceAddRmsNorm ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduceAddRmsNorm, This is an error in launch aicoreMatmulAllReduceAddRmsNorm, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sMatmulAllReduceAddRmsNorm, end. notify %p stream %p ret %daclnnMatmulAllReduceAddRmsNormmatmulAllReduceAddRmsNormRunAicpuKFC~UniqueExecutorIsNullptraclnnMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnMatmulAllReduceAddRmsNormGetWorkspaceSizex3aclnn_matmul_all_reduce_v2.cppCheckNotNull(x1, x2, x3, output)CheckDtypeValid(x1, x2, x3, bias, output)CheckShape(x1, x2, x3, bias, output)[%s:%d][%s][%s][%ld] errno[%d] %sx3 addr is different from output addr.x3 addr is different from output addr.[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, CreateWinTensor succeed[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, aclnnnMatmulAllReduceGetWorkspaceSize ret %d[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, end ret %d[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduceV2, This is an error in launch aicpu.MatmulAllReduceV2, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, aclnnnMatmulAllReduce ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sMatmulAllReduceV2, This is an error in launch aicoreMatmulAllReduceV2, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, end. notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sMatmulAllReduceV2, end. aicpuNotify=nullptr. notify %p stream %paclnnMatmulAllReduceV2aclnnMatmulAllReduceV2~UniqueExecutorCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnMatmulAllReduceV2GetWorkspaceSizeaclnnMatmulAllReduceV2GetWorkspaceSizecheckTopoAndRankSizeASCEND_MC2_DEBUG_MODEaclnnMatmulCompressDequantmatmulUnzipInput.x1matmulUnzipInput.x2matmulUnzipInput.biasmatmulUnzipInput.deqScalecompressInfomatmulOutND != nullptrweight_unzipunknownaclnn_matmul_compress_dequant.cppmatmulUnzipInput.compressIndexDFX_IN(x1, x2, compressIndex, bias, deqScale, offsetX, compressInfo)CheckNotNull(matmulUnzipInput, compressInfo, out)CheckDtypeValid(matmulUnzipInput, out)[%s:%d][%s][%s][%ld] errno[%d] %sMatmulUnzip not support x1 shape %s, x2 shape %sMatmulUnzip not support x1 shape %s, x2 shape %sCheckShapeValid(matmulUnzipInput.x1, matmulUnzipInput.x2, compressInfo)[%s:%d][%s][%s][%ld] errno[%d] %sDequant Scale is invalid Data.Dequant Scale is invalid Data.aclnnMatmulCompressDequant~UniqueExecutorProcessEmptyTensorBuildMatMulUnzipGraphCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMatmulCompressDequantGetWorkspaceSizeaclnnMatmulCompressDequantGetWorkspaceSize MatmulReduceScatterAicpuaclnn_matmul_reduce_scatter.cpp[%s:%d][%s][%s][%ld] %sMatmulReduceScatter, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sMatmulReduceScatter, aclnnnGetWorkspaceSize ret %d.[%s:%d][%s][%s][%ld] %sMatmulReduceScatter, end ret %d.[%s:%d][%s][%s][%ld] errno[%d] %sMatmulReduceScatter, This is an error in launch aicpu!MatmulReduceScatter, This is an error in launch aicpu![%s:%d][%s][%s][%ld] %sMatmulReduceScatter, end. notify %p stream %p ret %d.[%s:%d][%s][%s][%ld] %sMatmulReduceScatter, end aclnnMatmulReduceScatter.aclnnMatmulReduceScatteraclnnMatmulReduceScatter~UniqueExecutorCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnMatmulReduceScatterGetWorkspaceSizeaclnnMatmulReduceScatterGetWorkspaceSizeaclnnMaxaclnn_max.cppaclnnMax~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxGetWorkspaceSizeaclnnMaxGetWorkspaceSize  aclnnMaxDimaclnn_max_dim.cppDFX_OUT(out, indices)indices_res != nullptrout_res != nullptrCheckNotNull(self, out, indices)CheckShape(self, out, indices)[%s:%d][%s][%s][%ld] errno[%d] %sdim should within the range of [[%ld], [%ld]].dim should within the range of [[%ld], [%ld]].std::get<0>(result) != nullptrstd::get<1>(result) != nullptrindices_view_copy_result != nullptrout_view_copy_result != nullptraclnnMaxDim~UniqueExecutorCheckDimCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMaxDimGetWorkspaceSizeaclnnMaxDimGetWorkspaceSize  aclnnMaxPoolaclnn_max_pool.cppkernelShapedilationsselfUnsqueezed != nullptrselfProcsResult != nullptrmaxPoolOutResult != nullptroutProcsResult != nullptroutSqueezed != nullptroutResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sparam must be a list of single int, or two intsparam must be a list of single int, or two ints[%s:%d][%s][%s][%ld] errno[%d] %sparam must be a list of empty, single int, or two intsparam must be a list of empty, single int, or two ints[%s:%d][%s][%s][%ld] errno[%d] %sparam must be a list of empty, single int, or a tuple of two or four intsparam must be a list of empty, single int, or a tuple of two or four ints[%s:%d][%s][%s][%ld] errno[%d] %sparam must be a list of single int, two ints, or four ints. strides, pads, and dilations can be empty. kernelShape:%zu, strides:%zu, pads:%zu dilations:%zuparam must be a list of single int, two ints, or four ints. strides, pads, and dilations can be empty. kernelShape:%zu, strides:%zu, pads:%zu dilations:%zu[%s:%d][%s][%s][%ld] errno[%d] %svalue of autoPad must be zero representing NOTSET, but got autoPad:%ldvalue of autoPad must be zero representing NOTSET, but got autoPad:%ld[%s:%d][%s][%s][%ld] errno[%d] %sdilation value along each spatial axis only support 1, but got %lddilation value along each spatial axis only support 1, but got %ld[%s:%d][%s][%s][%ld] errno[%d] %sdilation value along each spatial axis only support 1, but got %ld, %lddilation value along each spatial axis only support 1, but got %ld, %ld[%s:%d][%s][%s][%ld] errno[%d] %sdilation value along each spatial axis only support 1, but got %ld, %ld, %ld, %lddilation value along each spatial axis only support 1, but got %ld, %ld, %ld, %ld[%s:%d][%s][%s][%ld] errno[%d] %sExpected tensor with optional 0 dim batch size, but got nInputPlane:%ld, height:%ld, width:%ldExpected tensor with optional 0 dim batch size, but got nInputPlane:%ld, height:%ld, width:%ld[%s:%d][%s][%s][%ld] errno[%d] %sThe size of strides should be greater than 0, but got strideEdgeLen:%ldThe size of strides should be greater than 0, but got strideEdgeLen:%ld[%s:%d][%s][%s][%ld] errno[%d] %sGiven input size %ldx%ldx%ld, calc out size %ldx%ldx%ldGiven input size %ldx%ldx%ld, calc out size %ldx%ldx%ldDFX_IN(self, kernelShape, strides, autoPad, pads, dilations, ceilMode)CheckNotNullPtr(self, kernelShape, strides, pads, dilations, out)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be same, self [%s], out [%s].Format of input and output should be same, self [%s], out [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NCHW or CHWFormat only support NCHW or CHW[%s:%d][%s][%s][%ld] errno[%d] %s3D or 4D tensor expected for inputs3D or 4D tensor expected for inputsCheckParamsLogic(kernelShape, strides, autoPad, pads, dilations) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sThe size of kernel should be greater than 0, but got kh:%ld, kw:%ldThe size of kernel should be greater than 0, but got kh:%ld, kw:%ld[%s:%d][%s][%s][%ld] errno[%d] %sThe size of strides should be greater than 0, but got dh:%ld, dw:%ldThe size of strides should be greater than 0, but got dh:%ld, dw:%ld[%s:%d][%s][%s][%ld] errno[%d] %spadding for the sum of beginning and ending along each spatial axis, should be smaller than, or equal to value of kernel size, but got kh:%ld, kw:%ld, padHL:%ld, padHR:%ld, padWL:%ld, padWR:%ldpadding for the sum of beginning and ending along each spatial axis, should be smaller than, or equal to value of kernel size, but got kh:%ld, kw:%ld, padHL:%ld, padHR:%ld, padWL:%ld, padWR:%ldCheckShape(self, kernelShape, strides, pads, ceilMode, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe self TransData fail, return nullptr.The self TransData fail, return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe output TransData fail, return nullptr.The output TransData fail, return nullptr.aclnnMaxPool~UniqueExecutorView4Das3DOuttoNDProcessSelfto5HDProcessView3Das4DPoolingOutShapeCheckOutputShapeCheckShapeCheckAttrSize0Or1Or2Or4CheckAttrSize0Or1Or2CheckAttrSize1Or2CheckParamsLogicCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMaxPoolGetWorkspaceSizeaclnnMaxPoolGetWorkspaceSizeaclnnMaxPool2dWithMaskaclnnMaxPool2dWithIndicesThe self Cast return nullptr.selfPreResult != nullptrThe out Cast return nullptr.indicesSqueezed != nullptraclnn_max_pool2d_with_indices.cpp[%s:%d][%s][%s][%ld] errno[%d] %sparam size must be a single int, or a tuple of two intsparam size must be a single int, or a tuple of two ints[%s:%d][%s][%s][%ld] errno[%d] %sparam size must be a single int, or a tuple of two ints. stride can be empty. kernelSize:%zu, stride:%zu, padding:%zu dilation:%zuparam size must be a single int, or a tuple of two ints. stride can be empty. kernelSize:%zu, stride:%zu, padding:%zu dilation:%zu[%s:%d][%s][%s][%ld] errno[%d] %sThe size of stride should be greater than 0, but got dh:%ld, dw:%ldThe size of stride should be greater than 0, but got dh:%ld, dw:%ld[%s:%d][%s][%s][%ld] errno[%d] %spad should be smaller than or equal to half of kernel size, but got kh:%ld, kw:%ld, padH:%ld, padW:%ldpad should be smaller than or equal to half of kernel size, but got kh:%ld, kw:%ld, padH:%ld, padW:%ld[%s:%d][%s][%s][%ld] errno[%d] %sdilation only support 1, but got dilationH:%ld, dilationW:%lddilation only support 1, but got dilationH:%ld, dilationW:%ldCheckNotNullPtr(self, kernelSize, stride, padding, dilation, out, indices)CheckDtypeValid(self, out, indices, isMask)CheckShape(self, kernelSize, stride, padding, dilation, ceilMode, out, indices, isMask)[%s:%d][%s][%s][%ld] errno[%d] %sThe self Cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe TransDataSpecial return nullptr.The TransDataSpecial return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe out TransDataSpecial return nullptr.The out TransDataSpecial return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe out Cast return nullptr.CheckTupleNullptr(maxPoolResult)CheckTupleNullptr(outputResult)DFX_IN(self, kernelSize, stride, padding, dilation, ceilMode)aclnnMaxPool2dWithIndicesaclnnMaxPool2dWithIndicesGetWorkspaceSizeaclnnMaxPool2dWithMask~UniqueExecutorView4Das3DOutputProcessSelfPreProcessView3Das4DCheckOutAndIndicesShapeCheckAttrSize1Or2CheckAttrSize0Or1Or2CheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsExecMaxPool2dWithIndicesGetWorkspaceSizeExecMaxPool2dWithIndicesGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMaxPool2dWithMaskGetWorkspaceSizeFormat only support NCHWindicesUnsqueezed != nullptrindicesNew != nullptrmaxPoolGradResult != nullptrgradResultSqueezed != nullptraclnnMaxPool2dWithMaskBackwardaclnn_max_pool2d_with_indices_backward.cppaclnnMaxPool2dWithIndicesBackward[%s:%d][%s][%s][%ld] errno[%d] %sFormat of self and gradOutput and gradInput should be same, self[%s], gradOutput[%s], gradInput[%s].Format of self and gradOutput and gradInput should be same, self[%s], gradOutput[%s], gradInput[%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support NCHW[%s:%d][%s][%s][%ld] errno[%d] %s3D or 4D tensor expected for self but got dim num:%zu3D or 4D tensor expected for self but got dim num:%zu[%s:%d][%s][%s][%ld] errno[%d] %s3D or 4D tensor expected for gradInput but got dim num:%zu3D or 4D tensor expected for gradInput but got dim num:%zu[%s:%d][%s][%s][%ld] errno[%d] %s3D or 4D tensor expected for gradOutput but got dim num:%zu3D or 4D tensor expected for gradOutput but got dim num:%zu[%s:%d][%s][%s][%ld] errno[%d] %s3D or 4D tensor expected for indices but got dim num:%zu3D or 4D tensor expected for indices but got dim num:%zuCheckNotNullPtr(gradOutput, self, indices, kernelSize, stride, padding, dilation, gradInput)CheckDtypeValid(gradOutput, self, indices, gradInput, isMask)CheckFormat(gradOutput, self, indices, gradInput)CheckShape(gradOutput, self, indices, kernelSize, stride, padding, dilation, ceilMode, gradInput, isMask)gradOutpoutContiguous != nullptrgradOutputUnsqueezed != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe gradOutput Cast return nullptr.The gradOutput Cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe gradOutput TransDataSpecial return nullptr.The gradOutput TransDataSpecial return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe self TransDataSpecial return nullptr.The self TransDataSpecial return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe indices process return nullptr.The indices process return nullptr.CheckTupleArrayNullptr(inputResult)[%s:%d][%s][%s][%ld] errno[%d] %sThe gradInput TransDataSpecial return nullptr.The gradInput TransDataSpecial return nullptr.DFX_IN(gradOutput, self, indices, kernelSize, stride, padding, dilation, ceilMode)aclnnMaxPool2dWithIndicesBackwardaclnnMaxPool2dWithIndicesBackwardGetWorkspaceSizeaclnnMaxPool2dWithMaskBackward~UniqueExecutorView4Das3DOutputProcessIndicesInputProcessInputProcessView3Das4DCheckGradInputAndIndicesShapeCheckAttrSize1Or2CheckAttrSize0Or1Or2CheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsExecMaxPool2dWithIndicesBackwardGetWorkspaceSizeExecMaxPool2dWithIndicesBackwardGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMaxPool2dWithMaskBackwardGetWorkspaceSizeaclnnMaxUnpool2daclnn_max_unpool2d.cppCheckShape(self, indices)outRefContiguous != nullptrinputNewShapeArray != nullptroutNewShapeArray != nullptroutRefReshape != nullptrscatterRes != nullptroutReshape2 != nullptrDFX_IN(self, indices, outputSize)CheckNotNull(self, indices, outputSize, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected self to be a 3d or 4d Tensor, instead got: %zuExpected self to be a 3d or 4d Tensor, instead got: %zu[%s:%d][%s][%s][%ld] errno[%d] %sExpected dim of self and indices to be equal, instead got self: %zu, gradOutput: %zuExpected dim of self and indices to be equal, instead got self: %zu, gradOutput: %zu[%s:%d][%s][%s][%ld] errno[%d] %smax_unpool2d():expected input to have non-empty spatiak dimensions, but input has sizes %zu with dimension %zu being empty.max_unpool2d():expected input to have non-empty spatiak dimensions, but input has sizes %zu with dimension %zu being empty.[%s:%d][%s][%s][%ld] errno[%d] %sThe output volums are of size %ld x %ld, should greater than or equal to self of size %ld x %ld.The output volums are of size %ld x %ld, should greater than or equal to self of size %ld x %ld.CheckOutputSize(self, outputSize)aclnnMaxUnpool2d~UniqueExecutorCheckOutputSizeCheckInpuNullTensorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxUnpool2dGetWorkspaceSizeaclnnMaxUnpool2dGetWorkspaceSize aclnnMaxUnpool2dBackwardgradReshape != nullptraclnn_max_unpool2d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected dim of self and gradOutput to be equal, instead got self: %zu, gradOutput: %zuExpected dim of self and gradOutput to be equal, instead got self: %zu, gradOutput: %zu[%s:%d][%s][%s][%ld] errno[%d] %sExpected (N, C) of self and gradOutput to be equal, instead got self: (%ld, %ld), gradOutput: (%ld, %ld)Expected (N, C) of self and gradOutput to be equal, instead got self: (%ld, %ld), gradOutput: (%ld, %ld)[%s:%d][%s][%s][%ld] errno[%d] %sExpected size of outputSize must be 2, but got: %ldExpected size of outputSize must be 2, but got: %ld[%s:%d][%s][%s][%ld] errno[%d] %sInconsistent gradOutput size. output height = %ld, output width = %ld, but got gradOutput: %ldx%ldInconsistent gradOutput size. output height = %ld, output width = %ld, but got gradOutput: %ldx%ldDFX_IN(gradOutput, self, indices, outputSize)CheckNotNull(gradOutput, self, indices, outputSize, out)CheckDtypeValid(gradOutput, self, indices, out)CheckShape(gradOutput, self, indices, outputSize, out)aclnnMaxUnpool2dBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxUnpool2dBackwardGetWorkspaceSizeaclnnMaxUnpool2dBackwardGetWorkspaceSize  aclnnMaxUnpool3daclnn_max_unpool3d.cppout must be contiguousCheckOutContiguous(out)outRefReshape2 != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThere should be exactly three elements (depth, height, width) in output_size, but got %zu elementsThere should be exactly three elements (depth, height, width) in output_size, but got %zu elements[%s:%d][%s][%s][%ld] errno[%d] %sThere should be exactly three elements (depth, height, width) in stride, but got %zu elementsThere should be exactly three elements (depth, height, width) in stride, but got %zu elements[%s:%d][%s][%s][%ld] errno[%d] %sThere should be exactly three elements (depth, height, width) in padding, but got %zu elementsThere should be exactly three elements (depth, height, width) in padding, but got %zu elements[%s:%d][%s][%s][%ld] errno[%d] %sstrides[%zu] shoule be greater than zero, but got %ld.strides[%zu] shoule be greater than zero, but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %soutputSize[%zu] should be greater than zero, but got %ld.outputSize[%zu] should be greater than zero, but got %ld.[%s:%d][%s][%s][%ld] errno[%d] %sThe output volums are of size %ld x %ld x %ld, should greater than or equal to self of size %ld x %ld x %ld.The output volums are of size %ld x %ld x %ld, should greater than or equal to self of size %ld x %ld x %ld.CheckNotNull(self, indices, outputSize, stride, padding, out)[%s:%d][%s][%s][%ld] errno[%d] %sout must be contiguous[%s:%d][%s][%s][%ld] errno[%d] %sInput to max_unpooling3d should be a 4d or 5d Tensor, but got a tensor with dim %zuInput to max_unpooling3d should be a 4d or 5d Tensor, but got a tensor with dim %zu[%s:%d][%s][%s][%ld] errno[%d] %sExpected shape of indices to be: %zu, but got: %zuExpected shape of indices to be: %zu, but got: %zu[%s:%d][%s][%s][%ld] errno[%d] %smax_unpool3d(): Expected input to have non-zero size for non-batch dimensions, but got %zu with dimension %zu being empty.max_unpool3d(): Expected input to have non-zero size for non-batch dimensions, but got %zu with dimension %zu being empty.CheckIntArrayShape(self, outputSize, stride, padding)[%s:%d][%s][%s][%ld] errno[%d] %sOut should be same in dimensions with self, but self is %zu, out is %zuOut should be same in dimensions with self, but self is %zu, out is %zu[%s:%d][%s][%s][%ld] errno[%d] %sOut should be same in N、C dimensions with self, but self N: [%ld]、C:[%ld], out N: [%ld]、C: [%ld]Out should be same in N、C dimensions with self, but self N: [%ld]、C:[%ld], out N: [%ld]、C: [%ld][%s:%d][%s][%s][%ld] errno[%d] %sOut should be same in D、H、W dimensions with outputSize, but outputSize D: [%ld]、H:[%ld]、W:[%ld], out D: [%ld]、H: [%ld]、W:[%ld]Out should be same in D、H、W dimensions with outputSize, but outputSize D: [%ld]、H:[%ld]、W:[%ld], out D: [%ld]、H: [%ld]、W:[%ld]CheckOutShape(self, outputSize, out)DFX_IN(self, indices, outputSize, stride, padding)aclnnMaxUnpool3d~UniqueExecutorCheckOutShapeCheckIntArrayShapeCheckInpuNullTensorCheckShapeCheckDtypeValidCheckOutContiguousIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxUnpool3dGetWorkspaceSizeaclnnMaxUnpool3dGetWorkspaceSize aclnnMaxUnpool3dBackwardgatherRes != nullptraclnn_max_unpool3d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected shape of out to be: %zu, but got: %zuExpected shape of out to be: %zu, but got: %zuDFX_IN(gradOutput, self, indices, outputSize, stride, padding)CheckNotNull(gradOutput, self, indices, outputSize, stride, padding, out)[%s:%d][%s][%s][%ld] errno[%d] %sInconsistant gradOutput size. oT= %ld, oH= %ld, oW= %ld. gradOutput: %ld x %ld x %ld.Inconsistant gradOutput size. oT= %ld, oH= %ld, oW= %ld. gradOutput: %ld x %ld x %ld.[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput and input Tensors should have same number of dimensions and also the same number of channels/slices. But gradOutput is %zu dimensions , %ld channels/slices, self is %zu dimensions , %ld channels/slices.gradOutput and input Tensors should have same number of dimensions and also the same number of channels/slices. But gradOutput is %zu dimensions , %ld channels/slices, self is %zu dimensions , %ld channels/slices.CheckOutShape(self, outputSize, gradOutput)gradOutputNewShapeArray != nullptrindicesNewShapeArray != nullptraclnnMaxUnpool3dBackward~UniqueExecutorCheckOutShapeCheckIntArrayShapeCheckInpuNullTensorCheckShapeCheckDtypeValidCheckOutContiguousIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxUnpool3dBackwardGetWorkspaceSizeaclnnMaxUnpool3dBackwardGetWorkspaceSize aclnnMaxV2aclnn_max_v2.cppCheckDimValid(self, dims)dims != nullptrDFX_IN(self, dims, keepDims, noopWithEmptyDims)[%s:%d][%s][%s][%ld] errno[%d] %sProvided dims %ld not in the range of input tensor size %ld.Provided dims %ld not in the range of input tensor size %ld.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reducution dims %ld to have non-zero size.Expected reducution dims %ld to have non-zero size.CheckShape(self, dims, keepDims, out)aclnnMaxV2~UniqueExecutorCheckShapeCheckDimValidCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMaxV2GetWorkspaceSizeaclnnMaxV2GetWorkspaceSize  aclnnMaximumaclnn_maximum.cppmaximumOpOut != nullptraclnnMaximum~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaximumGetWorkspaceSizeaclnnMaximumGetWorkspaceSize    aclnnMaxNaclnn_maxn.cppCheckDtypeValid(tensors, out)DFX_IN(tensors)firstContiguous != nullptrsecondContiguous != nullptrCheckNotNull(tensors, out, workspaceSize)CheckMaxDimension(tensors, out)CheckInAndOutShape(tensors, out)aclnnMaxN~UniqueExecutorCheckInAndOutShapeCheckMaxDimensionCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMaxNGetWorkspaceSizeaclnnMaxNGetWorkspaceSize  aclnnMeanaclnn_mean.cppaclnnMeanV2castMeanOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %stype %s should be in dtype support list [%s].DFX_IN(self, dim, keepDim, dtype)CheckDtypeValid(self, dtype, out)CheckPromoteType(self, dtype, out)DFX_IN(self, dim, keepDim, noopWithEmptyAxes)CheckDtypeValidONNX(self, out)aclnnMeanV2CheckDtypeValidONNXCheckParamsONNXOpDfxGuardaclnnMeanV2GetWorkspaceSizeaclnnMeanV2GetWorkspaceSizeaclnnMean~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMeanGetWorkspaceSizeaclnnMeanGetWorkspaceSize     aclnnMedianaclnn_median.cppaclnnMedianDimaclnnNanMedianaclnnNanMedianDimlastResult != nullptrlastValue != nullptrnanMask != nullptrvaluePerm != nullptrtransposeSelf != nullptrCheckNotNull(self, valuesOut)CheckShape(self, valuesOut)Equal return nullptr.reducesumop return nullptr.Sub return nullptr.Div return nullptr.op::DataType::DT_INT64CheckDimValue(self, dim)DFX_OUT(valuesOut)medianIndexTensor != nullptrnanTensor != nullptrselfReduceShape != nullptrsortValues != nullptrsortIndices != nullptrvalueResult != nullptrMaskedFill return nullptr.AllocIntArray return nullptr.ReduceMin return nullptr.indicesResultTmp != nullptrselfShapeTensor != nullptrnanFillTensor != nullptrlastValueResult != nullptrlastIndicesResult != nullptrvalueReshape != nullptrvalueCopyResult != nullptrindicesCopyResult != nullptrindicesOut != nullptrValueReshape != nullptrIndicesReshape != nullptrCheckTupleNotNullptr(sortResult)CheckDtypeValid(self, valuesOut)[%s:%d][%s][%s][%ld] errno[%d] %sEqual return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sCast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sreducesumop return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sSub return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sDiv return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sdim should be in range [%ld, %ld].dim should be in range [%ld, %ld].[%s:%d][%s][%s][%ld] errno[%d] %sindicesOut should not be null.indicesOut should not be null.CheckNotNullDim(self, valuesOut, indicesOut)[%s:%d][%s][%s][%ld] errno[%d] %sindicesOut dtype %s should be in dtype support list [%s].indicesOut dtype %s should be in dtype support list [%s].CheckDtypeValidDim(self, valuesOut, indicesOut)CheckShapeDim(self, valuesOut, indicesOut)[%s:%d][%s][%s][%ld] errno[%d] %sConvertToTensor return nullptr.ConvertToTensor return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sMaskedFill return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sAllocIntArray return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sReduceMin return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reduction dim 0 to have non-zero size.Expected reduction dim 0 to have non-zero size.aclnnNanMedianDimExecZeroDimNumaclnnNanMedianDimGetWorkspaceSizeaclnnNanMedianDimGetWorkspaceSizeaclnnNanMedianGetNanMedianDimIndexTensorDealNanMedianEmptyTensoraclnnNanMedianGetWorkspaceSizeaclnnNanMedianGetWorkspaceSizeaclnnMedianDimGetFirstNanIndicesSortProcessGetMedianSortResultGetReduceShapeCheckShapeDimCheckDimValueCheckDtypeValidDimCheckNotNullDimCheckParamsDimAddParamToBufAddParamToBufOpDfxGuardaclnnMedianDimGetWorkspaceSizeaclnnMedianDimGetWorkspaceSizeaclnnMedian~UniqueExecutorGetLastGetNanMaskReduceOneDimCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMedianGetWorkspaceSizeaclnnMedianGetWorkspaceSize  aclnnMinaclnn_min.cppaclnnMin~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMinGetWorkspaceSizeaclnnMinGetWorkspaceSize  aclnnMinDimaclnn_min_dim.cppaclnnMinDim~UniqueExecutorCheckDimCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMinDimGetWorkspaceSizeaclnnMinDimGetWorkspaceSize  aclnnMinimumaclnn_minimum.cppminimumOpOut != nullptraclnnMinimum~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMinimumGetWorkspaceSizeaclnnMinimumGetWorkspaceSize    aclnnMinNaclnn_minn.cppaclnnMinN~UniqueExecutorCheckInAndOutShapeCheckMaxDimensionCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMinNGetWorkspaceSizeaclnnMinNGetWorkspaceSize  aclnnMishaclnn_mish.cppaclnnInplaceMishmishResult != nullptraclnnInplaceMishOpDfxGuardaclnnInplaceMishGetWorkspaceSizeaclnnMish~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMishGetWorkspaceSizeaclnnMishGetWorkspaceSizeaclnnMishBackwardaclnn_mish_backward.cppcastedRes != nullptraclnnMishBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMishBackwardGetWorkspaceSizeaclnnMishBackwardGetWorkspaceSizeaclnnMmaclnn_mm.cppcontiguousOut != nullptrselfCastResmat2CastResselfTransdataOut != nullptrmat2TransdataOut != nullptrmm_out != nullptrmmTransdataOut != nullptrselfCastOut != nullptrmat2CastOut != nullptr[%s:%d][%s][%s][%ld] %sChecking V3 Case: m = %ld, k = %ld, n = %ld, trans1 = %ld, trans2 = %ld, bias = %ld, dtype-flag = %ld[%s:%d][%s][%s][%ld] %sHit mat_mul_v3 case channel.[%s:%d][%s][%s][%ld] %scheck Hit mat_mul_v3 splitK channel.supporSplitK:%d, kDim:%ld[%s:%d][%s][%s][%ld] %sHit mat_mul_v3 splitK channel.[%s:%d][%s][%s][%ld] %scheck Hit mat_mul_v3 l2 channel.sizeA:%lu, sizeB:%lu, sizeC:%lu[%s:%d][%s][%s][%ld] %sHit mat_mul_v3 l2 channel.[%s:%d][%s][%s][%ld] %sNot mat_mul_v3 case for unsupported SOC version or unsupported Format.[%s:%d][%s][%s][%ld] %sNot mat_mul_v3 case for unsupported dtype.[%s:%d][%s][%s][%ld] %sHit matmul_v3 scenario.[%s:%d][%s][%s][%ld] %sself format is not ND.[%s:%d][%s][%s][%ld] %sOutput format is ND, call MatMulNzNzNd.[%s:%d][%s][%s][%ld] errno[%d] %sBfloat16 is unsupported by the current SOC version [%s], now self is %s, mat2 is %sBfloat16 is unsupported by the current SOC version [%s], now self is %s, mat2 is %sCheckDtypeValid(self, mat2, bias, nullptr, cubeMathType)CheckDtypeValid(self, mat2, nullptr, nullptr, cubeMathType)CheckShapeValidWithTrans(self, mat2, transSelf, transMat2)[%s:%d][%s][%s][%ld] errno[%d] %sSplit k only support ndnd_nd or nznz_nz.Split k only support ndnd_nd or nznz_nz.CheckOutputDtypeValid(self, mat2, out)[%s:%d][%s][%s][%ld] %sSet cubeMathType for fp16 in fp32 out: %d, ori: %daclnnMm~UniqueExecutorUpdateCubeMathTypeCheckOutputDtypeValidIsNullptrCheckParamAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMmGetWorkspaceSizeaclnnMmGetWorkspaceSizeCheckShapeValidWithTransExecMmOpWithTransContiguousAndCastCheckShapeValidCheckDtypeValidExecMmOpWithBiasCheckHitV3ShapeCheckAscendCScenarioGetMatMulOpGetMatmulOpInfoWithTransGetMatmulOpInfoProcessEmptyTensorWithTransProcessEmptyTensor50@@0@`       =+  5`+   @: @ @kP*P* 5P*P* (P*6@+P*P*` @@5@@ @@X 5>           P*>  @50@@0@`       =+  5`+    @: @@}@ @kP*P*X\0 5P*P* (P*6@+P*P*` @X\@5@F@F@@ @@X 5>           >   P*ioT?0AaclnnMseLossaclnn_mse_loss.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected self dtype [%s] and target dtype [%s] to be promotable but check failed.Expected self dtype [%s] and target dtype [%s] to be promotable but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected reduction to be between 0 and 2, but got %ld.Expected reduction to be between 0 and 2, but got %ld.aclnnMseLoss~UniqueExecutorFillScalarMseLossEmptyTensorComputeCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMseLossGetWorkspaceSizeaclnnMseLossGetWorkspaceSizeaclnnMseLossBackwardaclnn_mse_loss_backward.cppaclnnMseLossBackward~UniqueExecutorCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMseLossBackwardGetWorkspaceSizeaclnnMseLossBackwardGetWorkspaceSizeaclnnMseLossOutaclnn_mse_loss_out.cppaclnnMseLossOut~UniqueExecutorCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMseLossOutGetWorkspaceSizeaclnnMseLossOutGetWorkspaceSizeaclnnMulsaclnn_mul.cppaclnnMulaclnnInplaceMulsaclnnInplaceMulCheckMulsDtype(self, out)resTensor != nullptrselfRefCast != nullptrCheckMulsNotNull(self, other, out)CheckMulNotNull(self, other, out)CheckMulDtype(self, other, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnMul self dtype [%s] and other dtype [%s] to be promotable but check failed.Expected aclnnMul self dtype [%s] and other dtype [%s] to be promotable but check failed.CheckMulPromoteType(self, other)CheckMulShape(self, other, out)CheckInplaceMulsNotNull(selfRef, other)CheckInplaceMulNotNull(selfRef, other)CheckInplaceMulDtype(selfRef, other)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnInplaceMul selfRef dtype [%s] and other dtype [%s] to be promotable but check failed.Expected aclnnInplaceMul selfRef dtype [%s] and other dtype [%s] to be promotable but check failed.CheckInplaceMulPromoteType(selfRef, other)CheckInplaceMulShape(selfRef, other)aclnnInplaceMulaclnnInplaceMulsaclnnMulaclnnMulsCheckInplaceMulShapeCheckInplaceMulPromoteTypeCheckInplaceMulDtypeCheckInplaceMulParamsOpDfxGuardaclnnInplaceMulGetWorkspaceSizeaclnnInplaceMulGetWorkspaceSizeCheckInplaceMulsParamsOpDfxGuardaclnnInplaceMulsGetWorkspaceSizeaclnnInplaceMulsGetWorkspaceSizeCheckMulShapeCheckMulPromoteTypeCheckMulDtypeCheckMulParamsOpDfxGuardaclnnMulGetWorkspaceSizeaclnnMulGetWorkspaceSize~UniqueExecutorCheckMulsDtypeIsNullptrIsNullptrCheckMulsParamsSplitStringAndPrintOpDfxGuardaclnnMulsGetWorkspaceSizeaclnnMulsGetWorkspaceSize  spatialShapelevelStartIndexlocationattnWeightgradValuegradLocationgradAttnWeightlocationContiguous != nullptrvalueAxes != nullptrlocAxes != nullptrvalueTrans != nullptrlocationTrans != nullptrlocationCasted != nullptrattnWeightCasted != nullptrspatialShapeCasted != nullptrgradValueNoTrans != nullptrgradAttnWeightOut != nullptrgradValueOut != nullptrgradLocationOut != nullptrgradValueCastOut != nullptrviewCopygradValue != nullptraclnnMultiScaleDeformableAttentionGradaclnn_multi_scale_deformable_attention_grad.cppDFX_IN(value, spatialShape, levelStartIndex, location, attnWeight, gradOutput)DFX_OUT(gradValue, gradLocation, gradAttnWeight)CheckNotNull(value, spatialShape, levelStartIndex, location, attnWeight, gradOutput, gradValue, gradLocation, gradAttnWeight)CheckDtypeValid(value, spatialShape, levelStartIndex, location, attnWeight, gradOutput, gradValue, gradLocation, gradAttnWeight)spatialShapeContiguous != nullptrlevelStartIndexContiguous != nullptrattnWeightContiguous != nullptrlevelStartIndexCasted != nullptrgradLocationNoTrans != nullptrgradLocationCastOut != nullptrgradAttnWeightCastOut != nullptrviewCopygradLocation != nullptrviewCopygradAttnWeight != nullptraclnnMultiScaleDeformableAttentionGrad~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnMultiScaleDeformableAttentionGradGetWorkspaceSizeaclnnMultiScaleDeformableAttentionGradGetWorkspaceSize aclnnMultilabelMarginLossisTargetDFX_OUT(out, isTarget)targetReshape != nullptrCheckTupleNullptr(lossOut)castIsTarget != nullptrviewCopyIsTarget != nullptraclnn_multilabel_margin_loss.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected non-empty vector or matrix with optional 0-dim batch size, but got: %sExpected non-empty vector or matrix with optional 0-dim batch size, but got: %s[%s:%d][%s][%s][%ld] errno[%d] %sinconsistent target size: %s for self of size: %sinconsistent target size: %s for self of size: %s[%s:%d][%s][%s][%ld] errno[%d] %sExpect out shape [%zu], but got: %s.Expect out shape [%zu], but got: %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected a single element out tensor, but got: %sExpected a single element out tensor, but got: %s[%s:%d][%s][%s][%ld] errno[%d] %sinconsistent isTarget size: %s for self of size: %sinconsistent isTarget size: %s for self of size: %sCheckNotNull(self, target, out, isTarget)CheckDtypeValid(self, target, out, isTarget)CheckShape(self, target, out, isTarget, reduction)aclnnMultilabelMarginLoss~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMultilabelMarginLossGetWorkspaceSizeaclnnMultilabelMarginLossGetWorkspaceSize aclnnMultinomialaclnn_multinomial.cppsumSelf != nullptrdivSumSelf != nullptraccumSelf != nullptrunsqueezeAccum != nullptrrandomUniform != nullptrcastRandom != nullptrreshapeRandom != nullptrgreaterEqual != nullptrcastGreaterEqual != nullptrmultinomialOut != nullptrinputShapeArray != nullptrsubRandom != nullptrlogRandom != nullptrexponentialOne != nullptrdivExponential != nullptrNumsamples must > 0.multinomialOutInt32 != nullptrDFX_IN(self, numsamples, replacement, seed, offset)[%s:%d][%s][%s][%ld] errno[%d] %sDim of self only can be 1 or 2.Dim of self only can be 1 or 2.[%s:%d][%s][%s][%ld] errno[%d] %sNumsamples must > 0.[%s:%d][%s][%s][%ld] errno[%d] %snumsamples must <= shape.GetDim(dimNum - 1) without replacementnumsamples must <= shape.GetDim(dimNum - 1) without replacement[%s:%d][%s][%s][%ld] errno[%d] %snumber of categories cannot exceed 2^24number of categories cannot exceed 2^24CheckValueRange(self, numsamples, replacement)aclnnMultinomial~UniqueExecutorCheckValueRangeCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMultinomialGetWorkspaceSizeaclnnMultinomialGetWorkspaceSizeExecMultinomialNoReplaceMentExecMultinomialReplaceMent   aclnnMvaclnn_mv.cppCheckNotNull(self, vec, out)CheckDtype(self, vec, out)CheckShape(self, vec, out)DFX_IN(self, vec, cubeMathType)CheckMathType(self, vec, cubeMathType)aclnnMv~UniqueExecutorCheckShapeCheckDtypeIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnMvGetWorkspaceSizeaclnnMvGetWorkspaceSizeaclnnNanToNumaclnn_nan_to_num.cppaclnnInplaceNanToNum[%s:%d][%s][%s][%ld] errno[%d] %sNanToNum is not supported on this device.NanToNum is not supported on this device.DFX_IN(self, nan, posinf, neginf)DFX_IN(selfRef, nan, posinf, neginf)aclnnInplaceNanToNumaclnnNanToNumOpDfxGuardaclnnInplaceNanToNumGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecNanToNumGetWorkspaceSizeExecNanToNumGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNanToNumGetWorkspaceSize  aclnnNeScalaraclnn_ne_scalar.cppaclnnInplaceNeScalarneResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnNeScalar is not support bfloat16 in current socversion.Input dtype of aclnnNeScalar is not support bfloat16 in current socversion.aclnnInplaceNeScalarOpDfxGuardaclnnInplaceNeScalarGetWorkspaceSizeaclnnNeScalarSplitStringAndPrintOpDfxGuardaclnnNeScalarGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsaclnnNeScalarCommonaclnnNeScalarCommon  aclnnNeTensoraclnn_ne_tensor.cppaclnnInplaceNeTensornotEqualOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnNeTensor is not support bfloat16 in current socversion.Input dtype of aclnnNeTensor is not support bfloat16 in current socversion.aclnnInplaceNeTensorOpDfxGuardaclnnInplaceNeTensorGetWorkspaceSizeaclnnNeTensorSplitStringAndPrintOpDfxGuardaclnnNeTensorGetWorkspaceSize~UniqueExecutorCheckOutShapeCheckPromoteTypeCheckDtypeValidCheckParamsIsNullptraclnnNeTensorCommonaclnnNeTensorCommon  aclnnNegaclnn_neg.cppaclnnInplaceNegCheckPromoteType(self, y)negOpOut != nullptraclnnInplaceNegaclnnNeg~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnNegGetWorkspaceSizeaclnnNegGetWorkspaceSize    aclnnNLLLossaclnn_nll_loss.cppTarget is out of boundsDFX_OUT(out, totalWeightOut)totalWeightOutlossOut[0] != nullptrlossOut[1] != nullptrloss != nullptrcastTotalWeightOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor should be 1D or 2D.Input tensor should be 1D or 2D.[%s:%d][%s][%s][%ld] errno[%d] %s0D or 1D target tensor expected, multi-target not supported.0D or 1D target tensor expected, multi-target not supported.[%s:%d][%s][%s][%ld] errno[%d] %sSize mismatch (got input: %s, target: %s) Size mismatch (got input: %s, target: %s) [%s:%d][%s][%s][%ld] errno[%d] %sWeight tensor should be defined for all %zu classes but got weight tensor of shape: %sWeight tensor should be defined for all %zu classes but got weight tensor of shape: %s[%s:%d][%s][%s][%ld] errno[%d] %sShape of totalWeightOut tensor should be [1], but current is %s.Shape of totalWeightOut tensor should be [1], but current is %s.[%s:%d][%s][%s][%ld] errno[%d] %sTarget is out of boundsDFX_IN(self, target, weight, reduction, ignoreIndex)CheckNotNull(self, target, weight, out, totalWeightOut)CheckDtypeValid(self, target, weight, out, totalWeightOut)[%s:%d][%s][%s][%ld] errno[%d] %sReduction should be between 0 and 2, but current is %ld.Reduction should be between 0 and 2, but current is %ld.CheckShape(self, target, weight, out, totalWeightOut, reduction)viewCopyTotalweightResult != nullptraclnnNLLLoss~UniqueExecutorFillScalarNLLLossEmptyTensorComputeCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNLLLossGetWorkspaceSizeaclnnNLLLossGetWorkspaceSize aclnnNLLLoss2daclnn_nll_loss2d.cppselfPermute != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sReduction should be between 0 and 2, but current is [%ld].Reduction should be between 0 and 2, but current is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor dim should be 4D, other dim not supported.Input tensor dim should be 4D, other dim not supported.[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor x[1] should be equal to weight[0].Input tensor x[1] should be equal to weight[0].[%s:%d][%s][%s][%ld] errno[%d] %sDim of 0D or 1D target tensor is expected, multi-target not supported.Dim of 0D or 1D target tensor is expected, multi-target not supported.[%s:%d][%s][%s][%ld] errno[%d] %sShape of totalWeightOut tensor should be [1], but current is [%s].Shape of totalWeightOut tensor should be [1], but current is [%s].viewCopyResultWeight != nullptraclnnNLLLoss2d~UniqueExecutorFillScalarNLLLossEmptyTensorComputeCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNLLLoss2dGetWorkspaceSizeaclnnNLLLoss2dGetWorkspaceSize aclnnNLLLoss2dBackwardaclnn_nll_loss2d_backward.cppInput tensor should be 4D.target tensor should be 3D.totalWeightgradOutputIn != nullptrselfTransposed != nullptrselfInput != nullptrtargetReshaped != nullptrweightInput != nullptrtotalWeightCast != nullptrgradInputReshaped != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSize mismatch (got gradOutput: %s, target: %s) Size mismatch (got gradOutput: %s, target: %s) [%s:%d][%s][%s][%ld] errno[%d] %sExpected a single element grad_output tensor, but got: %sExpected a single element grad_output tensor, but got: %s[%s:%d][%s][%s][%ld] errno[%d] %sInput tensor should be 4D.[%s:%d][%s][%s][%ld] errno[%d] %starget tensor should be 3D.[%s:%d][%s][%s][%ld] errno[%d] %sWeight tensor should be defined for all %ld classes but got weight tensor of shape: %sWeight tensor should be defined for all %ld classes but got weight tensor of shape: %s[%s:%d][%s][%s][%ld] errno[%d] %sShape of Out tensor should be %s, but current is %s.Shape of Out tensor should be %s, but current is %s.[%s:%d][%s][%s][%ld] errno[%d] %sShape of totalWeight tensor should be [1], but current is %s.Shape of totalWeight tensor should be [1], but current is %s.DFX_IN(gradOutput, self, target, weight, reduction, ignoreIndex, totalWeight)CheckNotNull(gradOutput, self, target, weight, totalWeight, out)CheckDtypeValid(gradOutput, self, target, weight, totalWeight, out)CheckShape(gradOutput, self, target, weight, totalWeight, out, reduction)gradInputTransposed != nullptraclnnNLLLoss2dBackward~UniqueExecutorCheckReductionCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNLLLoss2dBackwardGetWorkspaceSizeaclnnNLLLoss2dBackwardGetWorkspaceSize aclnnNLLLossBackwardaclnn_nll_loss_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected totalWeight to be a single element tensor, but current is %s.Expected totalWeight to be a single element tensor, but current is %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpect gradOutput shape [%zu], but got: %s.Expect gradOutput shape [%zu], but got: %s.totalWeightContiguous != nullptraclnnNLLLossBackward~UniqueExecutorCheckShapeCheckReductionCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNLLLossBackwardGetWorkspaceSizeaclnnNLLLossBackwardGetWorkspaceSize aclnnNonMaxSuppressionaclnn_non_max_suppression.cppboxesscoresselectedIndicesCheckShape(boxes, scores)CheckAttr(centerPointBox)DFX_OUT(selectedIndices)[%s:%d][%s][%s][%ld] errno[%d] %sboxes shape dim0 [%ld] and scores shape dim0 [%ld] should be sameboxes shape dim0 [%ld] and scores shape dim0 [%ld] should be same[%s:%d][%s][%s][%ld] errno[%d] %sboxes shape dim1 [%ld] and scores shape dim2 [%ld] should be sameboxes shape dim1 [%ld] and scores shape dim2 [%ld] should be same[%s:%d][%s][%s][%ld] errno[%d] %sboxes shape dim1 [%ld] should be 4boxes shape dim1 [%ld] should be 4CheckNotNull(boxes, scores, iouThreshold, selectedIndices)CheckDtypeValid(boxes, scores, iouThreshold)CheckFormatValid(boxes, scores, selectedIndices)[%s:%d][%s][%s][%ld] errno[%d] %scenterPointBox [%d] should be equal to 0 or 1centerPointBox [%d] should be equal to 0 or 1DFX_IN(boxes, scores, maxOutputBoxesPerClass, iouThreshold, scoreThreshold, centerPointBox, maxBoxesSize)[%s:%d][%s][%s][%ld] errno[%d] %saclnnNonMaxSuppression is not supported on %saclnnNonMaxSuppression is not supported on %saclnnNonMaxSuppression~UniqueExecutorCheckAttrCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNonMaxSuppressionGetWorkspaceSizeaclnnNonMaxSuppressionGetWorkspaceSizeaclnnNonzeroaclnn_nonzero.cppaclnnNonzero~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnNonzeroGetWorkspaceSizeaclnnNonzeroGetWorkspaceSize    aclnnNonzeroV2aclnn_nonzero_v2.cppaclnnNonzeroV2~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnNonzeroV2GetWorkspaceSizeaclnnNonzeroV2GetWorkspaceSize  aclnnNormaclnn_norm.cpppScalarCheckNotNull(self, pScalar, dim, keepdim, out)[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype DT_BF16 not support in current soc version.Self dtype DT_BF16 not support in current soc version.DFX_IN(self, pScalar, dim, keepdim)aclnnNorm~UniqueExecutorFillScalarCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNormGetWorkspaceSizeaclnnNormGetWorkspaceSizeOaclnnInplaceNormalaclnn_normal.cppCheckNotNull(self, mean, std)CheckDimValid(self)meanScalar != nullptrstdScalar != nullptrstateLessOut != nullptrcomputeOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sNormal expects std >= 0.0, but found std [%f].Normal expects std >= 0.0, but found std [%f].DFX_IN(selfRef, mean, std, seed, offset)aclnnInplaceNormal~UniqueExecutorCheckDimValidCheckDtypeValidIsNullptrCheckNotNullCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceNormalGetWorkspaceSizeaclnnInplaceNormalGetWorkspaceSize    aclnnNormalTensorTensoraclnn_normal_out.cppaclnnNormalTensorFloataclnnNormalFloatTensoraclnnNormalFloatFloatmeanCasted != nullptrstdCasted != nullptrDFX_IN(mean, std, seed, offset)CheckTensorAndTensorNotNull(mean, std, out)CheckTensorAndTensorShape(mean, std, out)CheckTensorAndTensorDtype(mean, std, out)[%s:%d][%s][%s][%ld] errno[%d] %sMean dtype [%s] and std dtype [%s] can not promote dtype.Mean dtype [%s] and std dtype [%s] can not promote dtype.CheckPromoteType(mean, std, out, promoteType)CheckTensorAndFloatNotNull(mean, out)CheckTensorAndFloatShapeOfMean(mean, out)CheckTensorAndFloatDtype(mean, out)CheckFloatAndTensorNotNull(std, out)[%s:%d][%s][%s][%ld] errno[%d] %sExpected redution dim to be specified for input.numel() = 0.Expected redution dim to be specified for input.numel() = 0.[%s:%d][%s][%s][%ld] errno[%d] %sShape of std should be match with out.Shape of std should be match with out.CheckFloatAndTensorShapeOfStd(std, out)CheckFloatAndTensorDtype(std, out)aclnnNormalFloatFloataclnnNormalFloatTensoraclnnNormalTensorFloataclnnNormalTensorTensorOpDfxGuardaclnnNormalFloatFloatGetWorkspaceSizeaclnnNormalFloatFloatGetWorkspaceSizeCheckFloatAndTensorDtypeCheckFloatAndTensorShapeOfStdCheckFloatAndTensorParamsOpDfxGuardaclnnNormalFloatTensorGetWorkspaceSizeaclnnNormalFloatTensorGetWorkspaceSizeCheckTensorAndFloatDtypeCheckTensorAndFloatShapeOfMeanCheckTensorAndFloatParamsAddParamToBufOpDfxGuardaclnnNormalTensorFloatGetWorkspaceSizeaclnnNormalTensorFloatGetWorkspaceSize~UniqueExecutorCheckPromoteTypeCheckTensorAndTensorDtypeCheckTensorAndTensorShapeIsNullptrCheckTensorAndTensorParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnNormalTensorTensorGetWorkspaceSizeaclnnNormalTensorTensorGetWorkspaceSizeCommonLogicGeneralNormal aclnnOneHotaclnn_one_hot.cpponValueoffValueCheckAxisRange(self, axis)uniqueExecutorInst != nullptroneHotOut != nullptrDFX_IN(self, numClasses, onValue, offValue, axis)CheckNotNull(self, onValue, offValue, out)CheckDtypeValid(self, onValue, offValue, out)[%s:%d][%s][%s][%ld] errno[%d] %sNumClasses should be greater than %ld, but got %ld.NumClasses should be greater than %ld, but got %ld.CheckMaxNumClasses(self, numClasses)[%s:%d][%s][%s][%ld] errno[%d] %sThe axis should be greater than %ld, but got %ld.The axis should be greater than %ld, but got %ld.aclnnOneHot~UniqueExecutorCheckAxisRangeCheckMaxNumClassesCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnOneHotGetWorkspaceSizeaclnnOneHotGetWorkspaceSize  aclnnInplaceOneaclnn_ones.cppCheckNotNull(self)CheckMaxDimension(self)onesOut != nullptraclnnInplaceOne~UniqueExecutorCheckMaxDimensionCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceOneGetWorkspaceSizeaclnnInplaceOneGetWorkspaceSize    aclnnReflectionPad2dBackwardaclnn_pad2d_backward.cppaclnnReplicationPad2dBackwardreflectwrong gradOutput shape.edgeInput should not be empty.gradOutput != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sgradOutput, self, gradInput dim should be same.gradOutput, self, gradInput dim should be same.[%s:%d][%s][%s][%ld] errno[%d] %spadding length should be 4, but got %zu.padding length should be 4, but got %zu.[%s:%d][%s][%s][%ld] errno[%d] %spadding size should be less than the corresponding self dimention.padding size should be less than the corresponding self dimention.[%s:%d][%s][%s][%ld] errno[%d] %swrong gradOutput shape.CheckNotNull(gradOutput, self, padding, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, gradOutput [%s], self [%s], gradInput [%s].Format of input and output should be equal, gradOutput [%s], self [%s], gradInput [%s].CheckFormat(gradOutput, self, gradInput)CheckShape(gradOutput, self, padding, mode, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sInput should not be empty.pad2dbackwardResult != nullptrDFX_IN(gradOutput, self, padding)aclnnReplicationPad2dBackwardaclnnReplicationPad2dBackwardGetWorkspaceSizeaclnnReflectionPad2dBackwardSplitStringAndPrintOpDfxGuardaclnnReflectionPad2dBackwardGetWorkspaceSize~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamscommonPad2dBackwardcommonPad2dBackward aclnnReflectionPad3dBackwardaclnn_pad3d_backward.cppaclnnReplicationPad3dBackward[%s:%d][%s][%s][%ld] errno[%d] %sExpected 4D or 5D tensor with possibly 0 batch size and other non-zero dimentions for input.Expected 4D or 5D tensor with possibly 0 batch size and other non-zero dimentions for input.pad3dbackwardResult != nullptraclnnReplicationPad3dBackwardaclnnReplicationPad3dBackwardGetWorkspaceSizeaclnnReflectionPad3dBackwardSplitStringAndPrintOpDfxGuardaclnnReflectionPad3dBackwardGetWorkspaceSize~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsCommonPad3dBackwardCommonPad3dBackward aclnnPdistaclnn_pdist.cppDFX_IN(self, p)PdistOutRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %spdist only supports non-negative p values.pdist only supports non-negative p values.CheckParamsLogic(self, p) == ACLNN_SUCCESSaclnnPdist~UniqueExecutorCheckParamsLogicCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnPdistGetWorkspaceSizeaclnnPdistGetWorkspaceSizeaclnnPdistForwardaclnn_pdist_forward.cppDFX_IN(self, pScalar)CheckPValid(pScalar)CheckNotNull(self, pScalar, out)aclnnPdistForward~UniqueExecutorFillScalarCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnPdistForwardGetWorkspaceSizeaclnnPdistForwardGetWorkspaceSizeaclnnPermuteaclnn_permute.cppCheckDimsRange(self, dims)permuteOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s is unsupported by the current SOC version [%s].Self dtype %s is unsupported by the current SOC version [%s].CheckDtypeValid(self, dims, out)[%s:%d][%s][%s][%ld] errno[%d] %sPermute not support self shape: %s, output shape: %sPermute not support self shape: %s, output shape: %s[%s:%d][%s][%s][%ld] errno[%d] %sNumber of dims don't match permuteNumber of dims don't match permuteCheckShapeValid(self, dims, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe values of dims should be in range [%ld, %ld].The values of dims should be in range [%ld, %ld].[%s:%d][%s][%s][%ld] %sOutput should be empty when self is emptyaclnnPermute~UniqueExecutorProcessEmptyTensorBuildPermuteGraphCheckDimsRangeCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamSplitStringAndPrintOpDfxGuardaclnnPermuteGetWorkspaceSizeaclnnPermuteGetWorkspaceSize  aclnnPowTensorScalaraclnn_pow.cppaclnnInplacePowTensorScalaraclnnPowScalarTensorDFX_IN(self, exponent)exponentexpTensor != nullptrsquareInput != nullptrCheckShape(exponent, out)expContiguous != nullptrexpCast != nullptrselfTensor != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of pow is not support bfloat16 in current socversion.Input dtype of pow is not support bfloat16 in current socversion.[%s:%d][%s][%s][%ld] errno[%d] %sexp dtype %s should be in dtype support list %s.exp dtype %s should be in dtype support list %s.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and exponent dtype %s can not promote dtype.Self dtype %s and exponent dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of pow is not supported .Input dtype of pow is not supported .CheckPowTensorScalarNotNull(self, exponent, out)CheckDtypeValid(self->GetDataType(), exponent->GetDataType())CheckPromoteType(self->GetDataType(), exponent->GetDataType(), out->GetDataType(), promoteType)CheckPowScalarTensorNotNull(self, exponent, out)aclnnPowScalarTensorCheckPowScalarTensorParamsOpDfxGuardaclnnPowScalarTensorGetWorkspaceSizeaclnnPowScalarTensorGetWorkspaceSizeaclnnInplacePowTensorScalaraclnnPowTensorScalar~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckPowTensorScalarParamsSplitStringAndPrintOpDfxGuardaclnnPowTensorScalarGetWorkspaceSizeaclnnPowTensorScalarGetWorkspaceSize   @@aclnnInplacePowTensorTensoraclnn_pow_tensor_tensor.cppaclnnPowTensorTensorexponentContiguous != nullptrexponentCasted != nullptrpowOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sSelf and exponent dtype are bool is not supported.Self and exponent dtype are bool is not supported.CheckNotNull(self, exponent, out)CheckDtypeValid(self, exponent)[%s:%d][%s][%s][%ld] errno[%d] %sself dtype %s and exponent dtype %s can not promote dtype.self dtype %s and exponent dtype %s can not promote dtype.CheckPromoteType(self, exponent, out)CheckShape(self, exponent, out)aclnnPowTensorTensoraclnnInplacePowTensorTensor~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnPowTensorTensorGetWorkspaceSizeaclnnPowTensorTensorGetWorkspaceSize  aclnnPreluaclnn_prelu.cppDFX_IN(self, weight)CheckDtypeValid(self, weight)CheckShape(self, weight, out)preluOpOut != nullptrCheckNotNull(self, weight, out)[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype %s and weight dtype %s can not promote dtype.Self dtype %s and weight dtype %s can not promote dtype.CheckPromoteType(self, weight, out)aclnnPrelu~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnPreluGetWorkspaceSizeaclnnPreluGetWorkspaceSize   aclnnPreluBackwardaclnn_prelu_backward.cpppreluGradInput != nullptrpreluGradReduceOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sthe number of weight elements must be 1 or self channel sizethe number of weight elements must be 1 or self channel sizeDFX_IN(gradOutput, self, weight)DFX_OUT(gradInput, gradWeight)CheckNotNull(gradOutput, self, weight, gradInput, gradWeight)CheckDtypeValid(gradOutput, self, weight, gradInput, gradWeight)CheckShape(gradOutput, self, weight, gradInput, gradWeight)gradInputViewCopyResult != nullptrgradWeightViewCopyResult != nullptraclnnPreluBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnPreluBackwardGetWorkspaceSizeaclnnPreluBackwardGetWorkspaceSizeaclnnProdDimaclnn_prod.cppaclnnProddimList != nullptrCheckDimValid(self, dim, isCheckDim)aclnnProdaclnnProdDimOpDfxGuardaclnnProdGetWorkspaceSizeaclnnProdGetWorkspaceSize~UniqueExecutorExecuteProdFillScalarCheckDimValidCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnProdDimGetWorkspaceSizeaclnnProdDimGetWorkspaceSize    quantScale2 != nullptrquantOffset2 != nullptrNONEBNSD_BSNDDFX_OUT(attentionOut)querykeyattentionOutpseShift != nullptrattenMask != nullptrDT_FLOATDT_FLOAT16DT_INT8DT_INT16DT_UINT16DT_UINT8DT_INT32DT_UINT32DT_UINT64DT_BOOLDT_DOUBLEDT_STRINGDT_DUAL_SUB_INT8DT_DUAL_SUB_UINT8VDT_COMPLEX64DT_COMPLEX128DT_QINT8DT_QINT16DT_QINT32DT_QUINT8DT_QUINT16DT_RESOURCEDT_STRING_REFDT_DUALDT_VARIANTDT_BF16DT_UNDEFINEDaclnnInnerPromptFlashAttentionaclnn_prompt_flash_attention_inner.cppreShapeMiddle(query, key, value, queryShape.data(), queryShape.size(), keyValueShape.data(), keyValueShape.size(), executor) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sInput query shape is (S[%ld], H[%ld]), input num_head N is %ld, corresponding headsize D = H/N = %ld, is invalid.Input query shape is (S[%ld], H[%ld]), input num_head N is %ld, corresponding headsize D = H/N = %ld, is invalid.[%s:%d][%s][%s][%ld] errno[%d] %sInput query shape is (B[%ld], S[%ld], H[%ld]), input num_head N is %ld, corresponding headsize D = H/N = %ld, is invalid.Input query shape is (B[%ld], S[%ld], H[%ld]), input num_head N is %ld, corresponding headsize D = H/N = %ld, is invalid.[%s:%d][%s][%s][%ld] %sAnalysis axis success. The axis result: [B]: %ld, [n1]: %ld, [n2]: %ld, [s1]: %ld, [s2]: %ld, [d]: %ldDFX_IN(query, key, value, pseShift, attenMask, actualSeqLengths, actualSeqLengthsKv, deqScale1, quantScale1, deqScale2, quantScale2, quantOffset2, numHeads, scaleValue, preTokens, nextTokens, inputLayout, numKeyValueHeads, sparseMode, innerPrecise)[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type char but got null for argument inputLayout.expected a value of type char but got null for argument inputLayout.CheckNotNull(query, key, value, inputLayout, attentionOut)[%s:%d][%s][%s][%ld] errno[%d] %sPlease check input Tensor datatype. The combination of [queryDataType]: %s, [keyDataType]: %s, [valueDataType]: %s is not supported by PFA.Please check input Tensor datatype. The combination of [queryDataType]: %s, [keyDataType]: %s, [valueDataType]: %s is not supported by PFA.[%s:%d][%s][%s][%ld] errno[%d] %sPlease check input/output Tensor datatype. The combination of [queryDataType]: %s, [outputDataType]: %s is not supported by PFA.Please check input/output Tensor datatype. The combination of [queryDataType]: %s, [outputDataType]: %s is not supported by PFA.[%s:%d][%s][%s][%ld] errno[%d] %sPlease check Tensor datatype. When input tensor datatype is %s, attenMaskDataType can not be %s.Please check Tensor datatype. When input tensor datatype is %s, attenMaskDataType can not be %s.CheckTensorDataType(query, key, value, attenMask, attentionOut)[%s:%d][%s][%s][%ld] errno[%d] %sthe layout of q and k v must be same, but got q dim:%lu k dim:%lu v dim:%luthe layout of q and k v must be same, but got q dim:%lu k dim:%lu v dim:%lu[%s:%d][%s][%s][%ld] errno[%d] %slayout is BNSD, input shape dim should be 4, but got %lulayout is BNSD, input shape dim should be 4, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %slayout is BSND, input shape dim should be 4, but got %lulayout is BSND, input shape dim should be 4, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %slayout is BSH, input shape dim should be 3, but got %lulayout is BSH, input shape dim should be 3, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %slayout is NSD, input shape dim should be 3, but got %lulayout is NSD, input shape dim should be 3, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %slayout is SH, input shape dim should be 2, but got %lulayout is SH, input shape dim should be 2, but got %luCheckDimsAndLayout(query, key, value, inputLayout) == ACLNN_SUCCESSanalysisAxis(query, key, inputLayout, headNum, shapeInfo) == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] %sAnalysis input success. The analysis result: [needReshape]: %d, [needPad]: %d, [padNum]: %lu,[needTranspose]: %d, [basicBlock]: %lu analysisInputShapeInfo(query, key, value, inputLayout, numHeads, shapeInfo, attentionOut) == ACLNN_SUCCESScontiguousInput(query, key, value, pseShift, attenMask, l0Executor) == ACLNN_SUCCESSpreprocessQKVInput(query, key, value, quantScale2, quantOffset2, shapeInfo, l0Executor) == ACLNN_SUCCESSpostProcessOutput(l0AttentionOutOut, attentionOut, shapeInfo, l0Executor) == ACLNN_SUCCESSaclnnInnerPromptFlashAttention~UniqueExecutorpostProcessOutputreShapeMiddleGeneratePaddingspreprocessQKVInputcontiguousInputanalysisAxisCheckDimsAndLayoutanalysisInputShapeInfoCheckTensorDataTypeIsNullptrCheckNotNullAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInnerPromptFlashAttentionGetWorkspaceSizeaclnnInnerPromptFlashAttentionGetWorkspaceSizeaclnnInplacePutaclnn_put.cppselfFlatten != nullptrindexFlatten != nullptrsourceFlatten != nullptrDFX_IN(selfRef, index, source, accumulate)CheckNotNull(self, index, source)CheckDtypeValid(self, index, source)[%s:%d][%s][%s][%ld] errno[%d] %sExpect source and index to have the same number of elements,but the source has %zu,the index has %zu.Expect source and index to have the same number of elements,but the source has %zu,the index has %zu.CheckShape(self, index, source)[%s:%d][%s][%s][%ld] errno[%d] %sCan not put elements into an empty tensorCan not put elements into an empty tensoraclnnInplacePut~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplacePutGetWorkspaceSizeaclnnInplacePutGetWorkspaceSize       aclnnQraclnn_qr.cppDFX_IN(self, some)CheckShape(self, some, Q, R)aclnnQr~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnQrGetWorkspaceSizeaclnnQrGetWorkspaceSize aclnnQuantMatmulaclnn_quant_matmul.cppaclnnQuantMatmulV2IsFormatSupport(x1, "x1")IsFormatSupport(x2, "x2")IsFormatSupport(bias, "bias")IsFormatSupport(out, "out")CheckDimVaild(x1, x2, bias)CheckShapeValid(x1, x2, bias)deqScaleValue != nullptrdeqScaleTensor != nullptrdeqScale shape %s is invalid.[%s:%d][%s][%s][%ld] errno[%d] %s%s's format should be ND. Actual is [%s].%s's format should be ND. Actual is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sThe batch of the two inputs are different %s, %sThe batch of the two inputs are different %s, %s[%s:%d][%s][%s][%ld] errno[%d] %sbias last dim should equal to x2 ndim shape %ld, but actually is %ld.bias last dim should equal to x2 ndim shape %ld, but actually is %ld.[%s:%d][%s][%s][%ld] errno[%d] %s%s's dim should be in range [%lu, %lu]. Actual is [%zu].%s's dim should be in range [%lu, %lu]. Actual is [%zu].IsDimSupport(x1, dimRangeWithoutBatch, "x1")IsDimSupport(x2, dimRangeWithoutBatch, "x2")[%s:%d][%s][%s][%ld] errno[%d] %sThe dim of the two inputs are different %s, %sThe dim of the two inputs are different %s, %sCheckNotNull(x1, x2, deqScale, out)CheckDtypeValid(x1, x2, bias, deqScale, out)IsFormatSupport(deqScale, "deqScale")CheckFormatVaild(x1, x2, bias, deqScale, out)DFX_IN(x1, x2, bias, deqScale)[%s:%d][%s][%s][%ld] %santi_quant_scale is %f, fixpipeDeqScale is %lxDFX_IN(x1, x2, bias, deqScale, adjX1, adjX2)[%s:%d][%s][%s][%ld] %sn is %ld, deqScale shape is %ld, transA: %d, transB: %d[%s:%d][%s][%s][%ld] errno[%d] %sdeqScale shape %s is invalid.CheckShapeValidV2(x1, x2, bias, deqScale, adjX1, adjX2)aclnnQuantMatmulV2CheckShapeValidV2CheckParamsV2AddParamToBufOpDfxGuardaclnnQuantMatmulV2GetWorkspaceSizeaclnnQuantMatmulV2GetWorkspaceSizeaclnnQuantMatmul~UniqueExecutorProcessEmptyTensorBuildQuantMatMulGraphCheckShapeValidIsDimSupportCheckDimVaildIsFormatSupportCheckFormatVaildCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnQuantMatmulGetWorkspaceSizeaclnnQuantMatmulGetWorkspaceSize dequantScaleaclnn_quant_matmul_all_reduce.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected dequantScale be [1] or [n] or [1,n], last dim of dequantScale should be %ld or 1, but got dequantScale shape: %s.Expected dequantScale be [1] or [n] or [1,n], last dim of dequantScale should be %ld or 1, but got dequantScale shape: %s.CheckNotNull(x1, x2, dequantScale, output)CheckDtypeValid(x1, x2, bias, dequantScale, x3, output)CheckShape(x1, x2, bias, dequantScale, x3, output)[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduce, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduce, end ret %d[%s:%d][%s][%s][%ld] errno[%d] %sQuantMatmulAllReduce, This is an error in launch aicpu.QuantMatmulAllReduce, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduce, aclnnnMatmulAllReduce ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sQuantMatmulAllReduce, This is an error in launch aicoreQuantMatmulAllReduce, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduce, end. notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduce, end. aicpuNotify=nullptr. notify %p stream %paclnnQuantMatmulAllReduceaclnnQuantMatmulAllReduce~UniqueExecutorIsWeightNZFormatCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnQuantMatmulAllReduceGetWorkspaceSizeaclnnQuantMatmulAllReduceGetWorkspaceSize  ASCEND_MC2_DEBUG_MODEaclnn_quant_matmul_all_reduce_add_rms_norm.cppCheckNotNull(x1, x2, dequantScale, residual, gamma)[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduceAddRmsNorm, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduceAddRmsNorm, end ret %d[%s:%d][%s][%s][%ld] errno[%d] %sQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicpu.QuantMatmulAllReduceAddRmsNorm, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduceAddRmsNorm, aclnnQuantMatmulAllReduceAddRmsNorm ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicoreQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sQuantMatmulAllReduceAddRmsNorm, end. notify %p stream %p ret %daclnnQuantMatmulAllReduceAddRmsNorm~UniqueExecutorIsNullptraclnnQuantMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnQuantMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnQuantMatmulV3aclnn_quant_matmul_v3.cppx1 != nullptrx2 != nullptrmatmulRet != nullptr[%s:%d][%s][%s][%ld] %sQuantMatmulV3 GetTransposeAttrValue, find tensor is not contiguous[%s:%d][%s][%s][%ld] %sQuantMatmulV3 special case, no need to set transpose attr value[%s:%d][%s][%s][%ld] %sQuantMatmulV3 Set Tensor To ND Format[%s:%d][%s][%s][%ld] %sQuantMatmulV3 no need to do contiguous process[%s:%d][%s][%s][%ld] errno[%d] %sWhen out dtype is %s, scale type should not be bfloat16 but could be int64/uint64When out dtype is %s, scale type should not be bfloat16 but could be int64/uint64[%s:%d][%s][%s][%ld] errno[%d] %sWhen out dtype is bfloat16, scale type should also be bfloat16 but scale is %sWhen out dtype is bfloat16, scale type should also be bfloat16 but scale is %s[%s:%d][%s][%s][%ld] errno[%d] %soffset only exists when out dtype is int8, but out is %soffset only exists when out dtype is int8, but out is %s[%s:%d][%s][%s][%ld] errno[%d] %sWhen bias dtype is bfloat16, out dtype have to be bfloat16, but it is %sWhen bias dtype is bfloat16, out dtype have to be bfloat16, but it is %s[%s:%d][%s][%s][%ld] errno[%d] %sbias dim num should equal 3 or 1, but it is %zu.bias dim num should equal 3 or 1, but it is %zu.[%s:%d][%s][%s][%ld] errno[%d] %sbias first dim should equal to x2 n dim shape %ld, but it is %ld.bias first dim should equal to x2 n dim shape %ld, but it is %ld.[%s:%d][%s][%s][%ld] errno[%d] %swhen bias dim num is 3, infered out batch dim num should be 1, but infered out batch dim num is %zu.when bias dim num is 3, infered out batch dim num should be 1, but infered out batch dim num is %zu.[%s:%d][%s][%s][%ld] errno[%d] %sbias 1st dim should be equal to out batch, but it is %ld and infered out batch is %ld.bias 1st dim should be equal to out batch, but it is %ld and infered out batch is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sbias 2nd dim should be equal to 1, but it is %ld.bias 2nd dim should be equal to 1, but it is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sbias last dim should be equal to x2 ndim shape %ld, but actually is %ld.bias last dim should be equal to x2 ndim shape %ld, but actually is %ld.x2DimNum >= x2MinDimNum && x2DimNum <= x2MaxDimNum[%s:%d][%s][%s][%ld] %sQuantMatmulV3 check dim range successCheckDimRange(x1, x2, scale, out)[%s:%d][%s][%s][%ld] errno[%d] %sx1 k dim and x2 k dim should be same, but x1 is %ld, x2 is %ld.x1 k dim and x2 k dim should be same, but x1 is %ld, x2 is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sx1 last dim or x2 last dim is larger than 65535, x1 is %ld, x2 is %ld.x1 last dim or x2 last dim is larger than 65535, x1 is %ld, x2 is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sscale last dim should equal to x2 ndim shape %ld or 1, but actual is %ld.scale last dim should equal to x2 ndim shape %ld or 1, but actual is %ld.[%s:%d][%s][%s][%ld] errno[%d] %soffset last dim should equal to x2 ndim shape %ld or 1, but actual is %ld.offset last dim should equal to x2 ndim shape %ld or 1, but actual is %ld.[%s:%d][%s][%s][%ld] errno[%d] %scurrent short dim value %ld and long dim value %ld are not supported for boardcastingcurrent short dim value %ld and long dim value %ld are not supported for boardcasting[%s:%d][%s][%s][%ld] errno[%d] %sInfered output dim num %ld is not equal to actual out dim num %zu.Infered output dim num %ld is not equal to actual out dim num %zu.[%s:%d][%s][%s][%ld] errno[%d] %sOut first dim should be equal to x1 m dim, but out first dim is %ld, x1 m is %ld.Out first dim should be equal to x1 m dim, but out first dim is %ld, x1 m is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sOut second dim should be equal to x2 n dim, but out second dim is %ld, x2 n is %ld.Out second dim should be equal to x2 n dim, but out second dim is %ld, x2 n is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sOutput dim %ld is not equal to infered output dim num %ld at dim index %zu.Output dim %ld is not equal to infered output dim num %ld at dim index %zu.CheckOutShape(out, twoDimMatmulCaseFlag, x1MDim, x2NDim, batchRecord)DFX_IN(x1, x2, scale, offset, bias)[%s:%d][%s][%s][%ld] errno[%d] %sQuantBatchMatmulV3 support for %s is not implementedQuantBatchMatmulV3 support for %s is not implementedCheckSupportSocVersion() != ACLNN_ERR_RUNTIME_ERRORTensorContiguousProcess(x1, transposeX1, uniqueExecutor.get())TensorContiguousProcess(x2, transposeX2, uniqueExecutor.get())TensorContiguousProcess(bias, biasTransposeValue, uniqueExecutor.get())CheckNotNull(std::tie(x1, x2, scale), out)[%s:%d][%s][%s][%ld] errno[%d] %salignedK1 value %ld is not matched with k1 value times 32, which is %ldalignedK1 value %ld is not matched with k1 value times 32, which is %ldCheckShapeForWeightNz(reformatedX1, reformatedX2) == trueCheckDtypeValid(mandatoryTensors, optionalTensors, out)CheckShape(mandatoryTensors, optionalTensors, transposeX1, transposeX2, out)CheckFormat(mandatoryTensors, optionalTensors)[%s:%d][%s][%s][%ld] errno[%d] %sQuantMatmulV3 not support to process empty tensor currentlyQuantMatmulV3 not support to process empty tensor currentlyCheckEmptyTensor(mandatoryTensors)[%s:%d][%s][%s][%ld] %sQuantMatmulV3 check params success[%s:%d][%s][%s][%ld] %sQuantMatmulV3 attr transposeX1 is %d, transposeX2 is %d.[%s:%d][%s][%s][%ld] %sQuantMatmulV3 enter SpecialOutputProcess funcSpecialOutputProcess(x1, x2, out, matmulRet, uniqueExecutor.get()) == ACLNN_SUCCESSaclnnQuantMatmulV3~UniqueExecutorSpecialOutputProcessCheckSpecialCaseGetTransposeAttrValueCheckEmptyTensorCheckOutShapeCheckBiasShapeInferOutputShapeCheckDimRangeCheckShapeCheckDtypeValidCheckParamsSetTensorToNDFormatCheckShapeForWeightNzTransposeAndTransDataForInputsIsNullptrTensorContiguousProcessCheckSupportSocVersionSplitStringAndPrintOpDfxGuardaclnnQuantMatmulV3GetWorkspaceSizeaclnnQuantMatmulV3GetWorkspaceSize  aclnnQuantMatmulV4aclnn_quant_matmul_v4.cpppertokenScaleOptional[%s:%d][%s][%s][%ld] errno[%d] %sWhen scale dtype is bfloat16, out type should alse be bfloat16 but out is %sWhen scale dtype is bfloat16, out type should alse be bfloat16 but out is %s[%s:%d][%s][%s][%ld] errno[%d] %sout must be fp16 or bf16 when pertoken nowout must be fp16 or bf16 when pertoken now[%s:%d][%s][%s][%ld] errno[%d] %swhen bias dim num is 3, out batch dim num should be 1, but infered out's batch dim num is %zu.when bias dim num is 3, out batch dim num should be 1, but infered out's batch dim num is %zu.[%s:%d][%s][%s][%ld] errno[%d] %spertokenScaleOptional last dim should equal to x1 mdim shape %ld or 1, but actually is %ld.pertokenScaleOptional last dim should equal to x1 mdim shape %ld or 1, but actually is %ld.[%s:%d][%s][%s][%ld] errno[%d] %scurrent short dim value %ld and long dim value %ld are not supported for broadcastingcurrent short dim value %ld and long dim value %ld are not supported for broadcastingDFX_IN(x1, x2, scale, offset, pertokenScaleOptional, bias)aclnnQuantMatmulV4~UniqueExecutorSpecialOutputProcessCheckSpecialCaseGetTransposeAttrValueCheckEmptyTensorCheckOutShapeCheckBiasShapeInferOutputShapeCheckDimValueCheckDimRangeCheckShapeCheckDtypeValidCheckParamsSetTensorToNDFormatCheckShapeForWeightNzTransposeAndTransDataForInputsIsNullptrTensorContiguousProcessCheckSupportSocVersionSplitStringAndPrintOpDfxGuardaclnnQuantMatmulV4GetWorkspaceSizeaclnnQuantMatmulV4GetWorkspaceSize  aclnnInplaceQuantScatteraclnn_quant_scatter.cppupdatesquantScalesquantZeroPointsCheckShape(selfRef, updates)updatesContiguous != nullptrDFX_IN(selfRef, indices, updates, quantScales, quantZeroPoints, axis, quantAxis, reduction)CheckNotNull(selfRef, indices, updates, quantScales)CheckDtypeValid(selfRef, indices, updates, quantScales, quantZeroPoints)[%s:%d][%s][%s][%ld] errno[%d] %sdimension of selfRef and updates should equaldimension of selfRef and updates should equalquantScalesContiguous != nullptrquantZeroPointsContiguous != nullptrquantUpdateScatterResult != nullptraclnnInplaceQuantScatter~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceQuantScatterGetWorkspaceSizeaclnnInplaceQuantScatterGetWorkspaceSizeaclnnInplaceRandomaclnn_random.cppCheckNotNull(selfRef)CheckShape(selfRef)from must be less than to.low != nullptrhigh != nullptruniformOpOut != nullptrmulFromOut != nullptrtemp != nullptrmulToOpOut != nullptrcastResultInt64 != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sfrom must be less than to.DFX_IN(selfRef, from, to, seed, offset)aclnnInplaceRandom~UniqueExecutorCastProcessCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceRandomGetWorkspaceSizeaclnnInplaceRandomGetWorkspaceSize    aclnnRandpermaclnn_randperm.cppn >= 0DFX_IN(n, seed, offset)randpermOut != nullptraclnnRandperm~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnRandpermGetWorkspaceSizeaclnnRandpermGetWorkspaceSize  aclnnRangeaclnn_range.cpp[%s:%d][%s][%s][%ld] errno[%d] %supper bound %f and lower bound %f is inconsistent with step sign %f.upper bound %f and lower bound %f is inconsistent with step sign %f.aclnnRange~UniqueExecutorCheckParamsLogicCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRangeGetWorkspaceSizeaclnnRangeGetWorkspaceSize      aclnnRealaclnn_real.cpprealResult != nullptrCheckInOutDtypeMatch(self, out)aclnnReal~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRealGetWorkspaceSizeaclnnRealGetWorkspaceSize!aclnnReciprocalaclnn_reciprocal.cppaclnnInplaceReciprocalreciprocalOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sOut dtype %s is unsupported by the current SOC version [%s].Out dtype %s is unsupported by the current SOC version [%s].[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, self [%s], out [%s].Format of input and output should be equal, self [%s], out [%s].aclnnInplaceReciprocalaclnnReciprocal~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReciprocalGetWorkspaceSizeaclnnReciprocalGetWorkspaceSize   aclnnReduceNansumaclnn_reduce_nansum.cppreduceNansumOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sReduceNansum is not supported on this device.ReduceNansum is not supported on this device.aclnnReduceNansum~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnReduceNansumGetWorkspaceSizeaclnnReduceNansumGetWorkspaceSize  aclnnReduceSumaclnn_reduce_sum.cppDFX_IN(self, dims, keepDims, dtype)aclnnReduceSum~UniqueExecutorCheckMaxDimensionCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnReduceSumGetWorkspaceSizeaclnnReduceSumGetWorkspaceSize    aclnnReflectionPad1daclnn_reflection_pad1d.cppDFX_IN(self, padding)self, out dim should be same.wrong out shape.pad1dResult != nullptrREFLECTCheckNotNull(self, padding, out)[%s:%d][%s][%s][%ld] errno[%d] %sFormat of input and output should be equal, self [%s], gradInoutput [%s].Format of input and output should be equal, self [%s], gradInoutput [%s].[%s:%d][%s][%s][%ld] errno[%d] %sself, out dim should be same.[%s:%d][%s][%s][%ld] errno[%d] %spadding length should be 2, but got %zu.padding length should be 2, but got %zu.[%s:%d][%s][%s][%ld] errno[%d] %swrong out shape.CheckShape(self, padding, out)aclnnReflectionPad1d~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReflectionPad1dGetWorkspaceSizeaclnnReflectionPad1dGetWorkspaceSize      aclnnReflectionPad1dBackwardaclnn_reflection_pad1d_backward.cppCheckShape(gradOutput, self, padding, gradInput)pad1dbackwardResult != nullptraclnnReflectionPad1dBackward~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReflectionPad1dBackwardGetWorkspaceSizeaclnnReflectionPad1dBackwardGetWorkspaceSize aclnnReflectionPad2daclnn_reflection_pad2d.cpppad2dResult != nullptraclnnReflectionPad2d~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReflectionPad2dGetWorkspaceSizeaclnnReflectionPad2dGetWorkspaceSize      aclnnReflectionPad3daclnn_reflection_pad3d.cpppad3dResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %spadding length should be 6, but got %zu.padding length should be 6, but got %zu.aclnnReflectionPad3d~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReflectionPad3dGetWorkspaceSizeaclnnReflectionPad3dGetWorkspaceSize      aclnnReluaclnn_relu.cppaclnnInplaceReluaclnnInplaceReluOpDfxGuardaclnnInplaceReluGetWorkspaceSizeaclnnReluSplitStringAndPrintOpDfxGuardaclnnReluGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecReluGetWorkspaceSizeExecReluGetWorkspaceSize aclnnRemainderTensorTensoraclnn_remainder.cppaclnnRemainderTensorScalaraclnnRemainderScalarTensorremainderOut != nullptrremainderRes == ACLNN_SUCCESSBroadcast result is nullptr.Reformat result is nullptr.CheckTensorDimSize(other)CheckTensorDimSize(out)otherShape != nullptrCheckTensorDimSize(self)aclnnInplaceRemainderTensorTensoraclnnInplaceRemainderTensorScalar[%s:%d][%s][%s][%ld] errno[%d] %sTensor xContiguous should not be null.Tensor xContiguous should not be null.[%s:%d][%s][%s][%ld] errno[%d] %sAfter broadcast, tensor xContiguous should not be null.After broadcast, tensor xContiguous should not be null.[%s:%d][%s][%s][%ld] errno[%d] %sAfter cast, tensor xContiguous should not be null.After cast, tensor xContiguous should not be null.[%s:%d][%s][%s][%ld] errno[%d] %sBefore broadcast, Reformat result is nullptr.Before broadcast, Reformat result is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sBroadcast result is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sReformat result is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sPromote type %s should be in dtype support list [%s].Promote type %s should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %sremainder_npu not implemented for dtype complex.remainder_npu not implemented for dtype complex.[%s:%d][%s][%s][%ld] errno[%d] %sexpected dtype %s should be in dtype support list [%s].expected dtype %s should be in dtype support list [%s].CheckPromoteTypeScalarTensor(self->GetDataType(), other->GetDataType(), out->GetDataType())CheckNotNullTensorTensor(self, other, out) == ACLNN_SUCCESSCheckPromoteType(self->GetDataType(), other->GetDataType(), out->GetDataType())CheckBroadcastShape(self, other, out, false)CheckNotNullTensorScalar(self, other, out) == ACLNN_SUCCESSCheckPromoteTypeTensorScalar(self->GetDataType(), other->GetDataType(), out->GetDataType())CheckBroadcastShape(self, other, out, true)aclnnInplaceRemainderTensorScalaraclnnInplaceRemainderTensorTensoraclnnRemainderScalarTensoraclnnRemainderTensorScalaraclnnRemainderTensorTensorCheckParamsInplaceTensorScalarOpDfxGuardaclnnInplaceRemainderTensorScalarGetWorkspaceSizeaclnnInplaceRemainderTensorScalarGetWorkspaceSizeCheckParamsInplaceTensorTensorOpDfxGuardaclnnInplaceRemainderTensorTensorGetWorkspaceSizeaclnnInplaceRemainderTensorTensorGetWorkspaceSizeCheckPromoteTypeScalarTensorCheckParamsScalarTensoraclnnRemainderScalarTensorGetWorkspaceSizeaclnnRemainderScalarTensorGetWorkspaceSizeCheckPromoteTypeTensorScalarIsNullptrCheckParamsTensorScalarOpDfxGuardaclnnRemainderTensorScalarGetWorkspaceSizeaclnnRemainderTensorScalarGetWorkspaceSizeCheckTensorDimSizeCheckBroadcastShapeCheckPromoteTypeIsNullptrCheckParamsTensorTensorSplitStringAndPrintOpDfxGuardaclnnRemainderTensorTensorGetWorkspaceSizeaclnnRemainderTensorTensorGetWorkspaceSizeExecRemainderTensorScalarGetWorkspaceSizeExecRemainderTensorScalarGetWorkspaceSize~UniqueExecutorRemainderMainProcessBroadcastTensorInitializeTensorExecRemainderTensorTensorGetWorkspaceSizeExecRemainderTensorTensorGetWorkspaceSize  aclnnRenormaclnn_renorm.cppaclnnInplaceRenormmaxNormCheckRenormFormat(self, out)CheckRenormShape(self, out)DFX_IN(self, p, dim, maxNorm)renormOpOut != nullptrbroadcastOut != nullptrCheckNotNull(self, p, maxNorm, out)[%s:%d][%s][%s][%ld] errno[%d] %sp only support non-negative values, but now p is [%f].p only support non-negative values, but now p is [%f].[%s:%d][%s][%s][%ld] errno[%d] %sdim range only support [-dimNum, dimNum - 1], but now dim is [%ld].dim range only support [-dimNum, dimNum - 1], but now dim is [%ld].[%s:%d][%s][%s][%ld] errno[%d] %smaxNorm should be greater than 0, but now maxNorm is [%f].maxNorm should be greater than 0, but now maxNorm is [%f].CheckValue(self, p, dim, maxNorm)aclnnInplaceRenormaclnnRenorm~UniqueExecutorCheckValueCheckRenormShapeCheckRenormFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnRenormGetWorkspaceSizeaclnnRenormGetWorkspaceSizeaclnnRepeataclnn_repeat.cpprepeatsCheckRepeatsValue(repeats)DFX_IN(self, repeats)repeatOut != nullptrrepeatResCheckNotNull(self, repeats, out)[%s:%d][%s][%s][%ld] errno[%d] %sNumber of dimensions of repeat dims can not be smaller than number of dimensions of input tensor, self %ld, repeats %ld.Number of dimensions of repeat dims can not be smaller than number of dimensions of input tensor, self %ld, repeats %ld.CheckRepeatsSize(self, repeats)[%s:%d][%s][%s][%ld] errno[%d] %srepeats expected %ldth value > 0, but get %ldrepeats expected %ldth value > 0, but get %ld[%s:%d][%s][%s][%ld] errno[%d] %srepeats size should not be larger than 8. self %ld, repeats %ldrepeats size should not be larger than 8. self %ld, repeats %ldCheckTensorDimSize(self, repeats)CheckRepeatOutShape(repeatOut, out)aclnnRepeat~UniqueExecutorCheckRepeatOutShapeCheckTensorDimSizeCheckRepeatsValueCheckRepeatsSizeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRepeatGetWorkspaceSizeaclnnRepeatGetWorkspaceSize   aclnnRepeatInterleaveaclnn_repeat_interleave.cppaclnnRepeatInterleaveWithDimaclnnRepeatInterleaveIntaclnnRepeatInterleaveTensorAfter cast, x is nullptr.CheckRepeatsDimRange(repeats)repeatsContiguous != nullptrflattenSelf != nullptrCheckDimRange(self, dim)CheckIntRepeatsRange(repeats)repeatsTensor != nullptrDFX_IN(repeats, outputSize)repeats != nullptraclnnRepeatInterleaveIntWithDim[%s:%d][%s][%s][%ld] errno[%d] %sAfter cast, x is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %srepeats %ld can not be negative.repeats %ld can not be negative.[%s:%d][%s][%s][%ld] errno[%d] %sdimension specified as %ld but tensor has no dimensions.dimension specified as %ld but tensor has no dimensions.DFX_IN(self, repeats, outputSize)[%s:%d][%s][%s][%ld] errno[%d] %sTensor repeats size %ld must be 1 or the number of elements in tensor self %ld.Tensor repeats size %ld must be 1 or the number of elements in tensor self %ld.[%s:%d][%s][%s][%ld] errno[%d] %sWhen tensor self is empty, repeats should be empty / 0 dim tensor / 1 dim tensor with only 1 elements, but got shape %s.When tensor self is empty, repeats should be empty / 0 dim tensor / 1 dim tensor with only 1 elements, but got shape %s.CheckEmptyTensor(self, repeats)[%s:%d][%s][%s][%ld] errno[%d] %srepeats must have the same size as input along dim.repeats must have the same size as input along dim.repeatInterleaveOut != nullptrCheckRepeatresOutShape(repeatInterleaveOut, out)DFX_IN(self, repeats, dim, outputSize)[%s:%d][%s][%s][%ld] errno[%d] %sTensor repeats must be size 1 or have the same size %ld as input along dim, but got %ld.Tensor repeats must be size 1 or have the same size %ld as input along dim, but got %ld.CheckRepeatsSizeDim(self, repeats, dim)[%s:%d][%s][%s][%ld] errno[%d] %srepeats must be an empty tensor / 1D tensor.repeats must be an empty tensor / 1D tensor.aclnnRepeatInterleaveTensoraclnnRepeatInterleaveIntWithDimaclnnRepeatInterleaveIntaclnnRepeatInterleaveWithDimaclnnRepeatInterleaveCheckParamsTensorOpDfxGuardaclnnRepeatInterleaveTensorGetWorkspaceSizeaclnnRepeatInterleaveTensorGetWorkspaceSizeCheckParamsDimIntOpDfxGuardaclnnRepeatInterleaveIntWithDimGetWorkspaceSizeaclnnRepeatInterleaveIntWithDimGetWorkspaceSizeCheckIntRepeatsRangeCheckParamsIntOpDfxGuardaclnnRepeatInterleaveIntGetWorkspaceSizeaclnnRepeatInterleaveIntGetWorkspaceSizeCheckRepeatsSizeDimCheckDimRangeCheckParamsDimOpDfxGuardaclnnRepeatInterleaveWithDimGetWorkspaceSizeaclnnRepeatInterleaveWithDimGetWorkspaceSize~UniqueExecutorCastIfNeededCheckRepeatresOutShapeCheckEmptyTensorCheckTensorDimSizeCheckRepeatsSizeCheckRepeatsDimRangeIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnRepeatInterleaveGetWorkspaceSizeaclnnRepeatInterleaveGetWorkspaceSize  aclnnReplicationPad1daclnn_replication_pad1d.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected 2D or 3D tensor with possibly 0 batch size and other non-zero dimentions for inpit.Expected 2D or 3D tensor with possibly 0 batch size and other non-zero dimentions for inpit.aclnnReplicationPad1d~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReplicationPad1dGetWorkspaceSizeaclnnReplicationPad1dGetWorkspaceSize  aclnnReplicationPad1dBackwardaclnn_replication_pad1d_backward.cppaclnnReplicationPad1dBackward~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReplicationPad1dBackwardGetWorkspaceSizeaclnnReplicationPad1dBackwardGetWorkspaceSize aclnnReplicationPad2daclnn_replication_pad2d.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected 3D or 4D tensor with possibly 0 batch size and other non-zero dimentions for inpit.Expected 3D or 4D tensor with possibly 0 batch size and other non-zero dimentions for inpit.aclnnReplicationPad2d~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReplicationPad2dGetWorkspaceSizeaclnnReplicationPad2dGetWorkspaceSize  aclnnReplicationPad3daclnn_replication_pad3d.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected 4D or 5D tensor with possibly 0 batch size and other non-zero dimentions for inpit.Expected 4D or 5D tensor with possibly 0 batch size and other non-zero dimentions for inpit.aclnnReplicationPad3d~UniqueExecutorInputPreprocessCheckShapeCheckFormatCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnReplicationPad3dGetWorkspaceSizeaclnnReplicationPad3dGetWorkspaceSize  aclnnResizeaclnn_resize.cppDFX_IN(self, scales, mode)CheckModeStr(mode)CheckShape(self, scales)sizes != nullptrselfData != nullptroutData != nullptrresizeRet != nullptroutRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type List[float] for argument %s but instead found type null.expected a value of type List[float] for argument %s but instead found type null.CheckNotNull(self, scales, mode, out)aclnnResize~UniqueExecutorCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnResizeGetWorkspaceSizeaclnnResizeGetWorkspaceSizeaclnnRoiAlignaclnn_roi_align.cppbatchIndicesroisavgroisContiguous != nullptrselfTransData != nullptrbatchIndicesCast != nullptrroisConcat != nullptrroiAlignOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %srois shape dim0 [%ld] and batchIndices shape dim0 [%ld] should be equalrois shape dim0 [%ld] and batchIndices shape dim0 [%ld] should be equal[%s:%d][%s][%s][%ld] errno[%d] %srois shape dim1 [%ld] should be 4rois shape dim1 [%ld] should be 4[%s:%d][%s][%s][%ld] errno[%d] %sout shape dim0 [%ld] and rois shape dim0 [%ld] should be equalout shape dim0 [%ld] and rois shape dim0 [%ld] should be equal[%s:%d][%s][%s][%ld] errno[%d] %sout shape dim1 [%ld] and self shape dim1 [%ld] should be equalout shape dim1 [%ld] and self shape dim1 [%ld] should be equal[%s:%d][%s][%s][%ld] errno[%d] %sout shape dim2 [%ld] and outputHeight [%d] should be equalout shape dim2 [%ld] and outputHeight [%d] should be equal[%s:%d][%s][%s][%ld] errno[%d] %sout shape dim3 [%ld] and outputWidth [%d] should be equalout shape dim3 [%ld] and outputWidth [%d] should be equalDFX_IN(self, rois, batchIndices, mode, outputHeight, outputWidth, samplingRatio, spatialScale)CheckNotNull(self, rois, batchIndices, out)CheckDtypeValid(self, rois, batchIndices, out)CheckFormatValid(self, rois, batchIndices, out)CheckShape(self, rois, batchIndices, out, outputHeight, outputWidth)[%s:%d][%s][%s][%ld] errno[%d] %smode should be [avg] or [max], but get [%s]mode should be [avg] or [max], but get [%s][%s:%d][%s][%s][%ld] errno[%d] %ssamplingRatio [%d] should be greater than or equal to 0samplingRatio [%d] should be greater than or equal to 0[%s:%d][%s][%s][%ld] errno[%d] %sspatialScale [%f] should be greater than 0spatialScale [%f] should be greater than 0CheckAttr(mode, samplingRatio, spatialScale)batchIndicesContiguous != nullptrbatchIndicesReshape != nullptraclnnRoiAlign~UniqueExecutorCheckAttrCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnRoiAlignGetWorkspaceSizeaclnnRoiAlignGetWorkspaceSizeaclnnRollaclnn_roll.cppshiftsCheckArraySize(shifts, dims)DFX_IN(x, shifts, dims)viewCopyRes != nullptrCheckDimsRange(x, dims)outBase != nullptrCheckNotNull(self, shifts, dims, out)[%s:%d][%s][%s][%ld] errno[%d] %sThe size of shifts and dims should be the same when the size of dims is not 0.The size of shifts and dims should be the same when the size of dims is not 0.[%s:%d][%s][%s][%ld] errno[%d] %sThe size of shifts must be 1 if the size of dims is 0.The size of shifts must be 1 if the size of dims is 0.[%s:%d][%s][%s][%ld] errno[%d] %sWhen tensor x has no dimensions, shifts should be size 1, dims should be size 0.When tensor x has no dimensions, shifts should be size 1, dims should be size 0.aclnnRoll~UniqueExecutorroll_transposeCheckDimsRangeHandleDimZeroTensorCheckTensorDimSizeCheckArraySizeCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRollGetWorkspaceSizeaclnnRollGetWorkspaceSize  aclnnRoundaclnn_round.cppaclnnInplaceRoundaclnnRoundDecimalsaclnnInplaceRoundDecimalsroundResult != nullptrDFX_IN(self, decimals)DFX_IN(selfRef, decimals)roundDecimalsOutRet != nullptraclnnInplaceRoundDecimalsaclnnRoundDecimalsOpDfxGuardaclnnInplaceRoundDecimalsGetWorkspaceSizeExecRoundDecimalsGetWorkspaceSizeExecRoundDecimalsGetWorkspaceSizeAddParamToBufOpDfxGuardaclnnRoundDecimalsGetWorkspaceSizeaclnnInplaceRoundaclnnRound~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRoundGetWorkspaceSizeaclnnRoundGetWorkspaceSize    aclnnRReluWithNoiseaclnn_rrelu_with_noise.cppaclnnInplaceRReluWithNoisenoiseuppernoiseContiguous != nullptronesTensor != nullptrzerosTensor != nullptruniformOut != nullptrmulsOut != nullptrmulsOut2 != nullptruniformTensor != nullptrnoiseReshapeOut != nullptrnoiseSliceOut != nullptrconcatOut != nullptrnoiseOut != nullptrreluReshapeOut != nullptrDFX_IN(self, noise, lower, upper, training, seed, offset)CheckNotNull(self, noise, lower, upper, out)CheckDtypeValid(self, noise, out)[%s:%d][%s][%s][%ld] errno[%d] %stesnor size of self larger than noise, self: %lu, noise: %lu.tesnor size of self larger than noise, self: %lu, noise: %lu.CheckShapeValid(self, out, training)aclnnInplaceRReluWithNoiseaclnnRReluWithNoise~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnRReluWithNoiseGetWorkspaceSizeaclnnRReluWithNoiseGetWorkspaceSizeaclnnRsqrtaclnn_rsqrt.cppaclnnInplaceRsqrtrsqrtOpOut != nullptraclnnInplaceRsqrtaclnnRsqrtOpDfxGuardaclnnInplaceRsqrtGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecRsqrtGetWorkspaceSizeExecRsqrtGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnRsqrtGetWorkspaceSize   aclnnRsubsaclnn_rsub.cppaclnnRsubCheckShapeScalar(self, out)selfRes != nullptrrsubOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected self dtype %s and other dtype %s can promote dtype but check failed.Expected self dtype %s and other dtype %s can promote dtype but check failed.CheckNotNullScalar(self, other, alpha, out)CheckRsubsDtypeValid(self, other)CheckPromoteType(self->GetDataType(), other->GetDataType(), alpha, out->GetDataType(), promoteType)CheckNotNull(self, other, alpha, out)aclnnRsubaclnnRsubsCheckShapeScalarCheckRsubsDtypeValidCheckParamsScalarOpDfxGuardaclnnRsubsGetWorkspaceSizeaclnnRsubsGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnRsubGetWorkspaceSizeaclnnRsubGetWorkspaceSize    aclnnSWhereaclnn_s_where.cppconditionconditionCast != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sShape of self other and condition can't broadcast.Shape of self other and condition can't broadcast.DFX_IN(condition, self, other)CheckNotNull(self, other, condition, out)CheckDtypeValid(self, other, condition, out)CheckShape(self, other, condition, out)conditionContiguous != nullptraclnnSWhere~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSWhereGetWorkspaceSizeaclnnSWhereGetWorkspaceSize    aclnnScatteraclnn_scatter.cppaclnnScatterValueaclnnInplaceScatteraclnnInplaceScatterValuescatterUpdate != nullptrindexShape != nullptrsrc != nullptrCheckNotNull(self, index, src, out)CheckDtypeValid(self, index, src, out)[%s:%d][%s][%s][%ld] errno[%d] %sexpect self, index, src have same number of dimensions.expect self, index, src have same number of dimensions.CheckTensorDim(self, index, src)[%s:%d][%s][%s][%ld] errno[%d] %sExpect index shape %s should be smaller than src shape %s in each dimension.Expect index shape %s should be smaller than src shape %s in each dimension.[%s:%d][%s][%s][%ld] errno[%d] %sApart from dimension %ld, index shape %s should be smaller than self shape %s in each dimension.Apart from dimension %ld, index shape %s should be smaller than self shape %s in each dimension.CheckShape(self, index, src, out, dim)[%s:%d][%s][%s][%ld] errno[%d] %sdim must be in range [%ld, %ld].dim must be in range [%ld, %ld].CheckTensorSizeRestriction(self)((self != nullptr) && (index != nullptr) && (value != nullptr))DFX_IN(self, dim, index, src, reduce)DFX_IN(self, dim, index, value, reduce)DFX_IN(selfRef, dim, index, src, reduce)DFX_IN(selfRef, dim, index, value, reduce)aclnnInplaceScatterValueaclnnInplaceScatterOpDfxGuardaclnnInplaceScatterValueGetWorkspaceSizeOpDfxGuardaclnnInplaceScatterGetWorkspaceSizeaclnnScatterValueaclnnScatterExecScatterValueGetWorkspaceSizeExecScatterValueGetWorkspaceSizeOpDfxGuardaclnnScatterValueGetWorkspaceSize~UniqueExecutorConvertDataTypeCheckTensorSizeRestrictionCheckDimRangeCheckShapeCheckTensorDimCheckDtypeValidIsNullptrCheckParamsExecScatterGetWorkspaceSizeExecScatterGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnScatterGetWorkspaceSize     aclnnScatterAddaclnn_scatter_add.cppDFX_IN(self, dim, index, src)indexReshape != nullptrsrcReshape != nullptrscatterAddOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %ssrc, index should have same dimension number with self.src, index should have same dimension number with self.[%s:%d][%s][%s][%ld] errno[%d] %sthe size of the index dimension must not be greater than that of the src dimension.the size of the index dimension must not be greater than that of the src dimension.[%s:%d][%s][%s][%ld] errno[%d] %sthe size of the index dimension must not be greater than that of the self dimension.the size of the index dimension must not be greater than that of the self dimension.CheckShape(selfReshape, dimFinal, indexReshape, srcReshape, out)aclnnScatterAdd~UniqueExecutorConvertDataTypeCheckShapeCheckZeroDimCheckAllTensorZeroDimCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnScatterAddGetWorkspaceSizeaclnnScatterAddGetWorkspaceSize   aclnnScatterNdaclnn_scatter_nd.cppdatadataContiguous != nullptrupdateRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sdata dtype %s is unsupported by the current SOC version.data dtype %s is unsupported by the current SOC version.[%s:%d][%s][%s][%ld] errno[%d] %sdata and indices tensor of rank should equal or bigger than 1data and indices tensor of rank should equal or bigger than 1[%s:%d][%s][%s][%ld] errno[%d] %sthe rank of data,indices should match the shape of updatesthe rank of data,indices should match the shape of updates[%s:%d][%s][%s][%ld] errno[%d] %sthe rank of data should bigger than indicesthe rank of data should bigger than indices[%s:%d][%s][%s][%ld] errno[%d] %sthe shape of data, indices and updates are not matchedthe shape of data, indices and updates are not matchedDFX_IN(data, indices, updates)CheckNotNull(data, indices, updates, out)CheckDtypeValid(data, indices, updates, out)CheckShape(data, indices, updates, out)aclnnScatterNd~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnScatterNdGetWorkspaceSizeaclnnScatterNdGetWorkspaceSize  aclnnScatterNdUpdateaclnn_scatter_nd_update.cppDFX_OUT(varRef)varRefContiguous != nullptrscatterUpdateRes != nullptr[%s:%d][%s][%s][%ld] errno[%d] %supdates dtype %s should be in same with varRef dtype %s.updates dtype %s should be in same with varRef dtype %s.DFX_IN(varRef, indices, updates)CheckNotNull(varRef, indices, updates)CheckDtypeValid(varRef, indices, updates)aclnnScatterNdUpdate~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnScatterNdUpdateGetWorkspaceSizeaclnnScatterNdUpdateGetWorkspaceSize    aclnnInplaceScatterUpdateaclnn_scatter_update.cppDFX_OUT(data)[%s:%d][%s][%s][%ld] errno[%d] %sdata dtype %s is unsupported by the current SOC version [%s].data dtype %s is unsupported by the current SOC version [%s].DFX_IN(data, indices, updates, axis)CheckNotNull(data, indices, updates)CheckDtypeValid(data, indices, updates)[%s:%d][%s][%s][%ld] errno[%d] %sdimension of data and updates not nulldimension of data and updates not null[%s:%d][%s][%s][%ld] errno[%d] %sdimension of data and updates should equaldimension of data and updates should equalCheckShape(data, indices, updates)aclnnInplaceScatterUpdate~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceScatterUpdateGetWorkspaceSizeaclnnInplaceScatterUpdateGetWorkspaceSize aclnnSearchSortedaclnn_searchsorted.cppaclnnSearchSortedssortedSequencesortersorterContiguous != nullptrSearchSortedOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sself value can be a scalar only when sortedSequence tensor dimension is 1, but we got sortedSequence tensor dim(%s) and self value's dim(%s).self value can be a scalar only when sortedSequence tensor dimension is 1, but we got sortedSequence tensor dim(%s) and self value's dim(%s).[%s:%d][%s][%s][%ld] errno[%d] %ssortedSequence tensor should be 1 dimension or the first N-1 dimension of sortedSequence tensor and self value tensor must match, but we got sortedSequence tensor %s and self value tensor %s.sortedSequence tensor should be 1 dimension or the first N-1 dimension of sortedSequence tensor and self value tensor must match, but we got sortedSequence tensor %s and self value tensor %s.DFX_IN(sortedSequence, self, outInt32, right, sorter)CheckNotNull(sortedSequence, self, out)CheckDtypeValid(sortedSequence, self, out, outInt32, sorter)CheckShape(sortedSequence, self, out, sorter)[%s:%d][%s][%s][%ld] errno[%d] %ssortedSequence dtype %s and self dtype %s can not promote dtype.sortedSequence dtype %s and self dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %spromoteType dtype %s not in dtype support list [%s].promoteType dtype %s not in dtype support list [%s].CheckPromoteType(sortedSequence->GetDataType(), self->GetDataType(), promoteType)sortedSequenceContiguous != nullptrsortedSequenceContiguousCasted != nullptraclnnSearchSortedsaclnnSearchSortedOpDfxGuardaclnnSearchSortedsGetWorkspaceSizeaclnnSearchSortedsGetWorkspaceSize~UniqueExecutorCheckPromoteTypeCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSearchSortedGetWorkspaceSizeaclnnSearchSortedGetWorkspaceSize aclnnSeluaclnn_selu.cppaclnnInplaceSeluseluOut != nullptraclnnInplaceSeluaclnnSeluOpDfxGuardaclnnInplaceSeluGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSeluGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSeluGetWorkspaceSizeExecSeluGetWorkspaceSizeaclnnSeluBackwardaclnn_selu_backward.cppresultContiguous != nullptrseluGradOut != nullptrDFX_IN(gradOutput, result)CheckNotNull(gradOutput, result, gradInput)CheckDtypeValid(gradOutput, result, gradInput)CheckShape(gradOutput, result, gradInput)aclnnSeluBackwardSplitStringAndPrintOpDfxGuardaclnnSeluBackwardGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSeluBackwardGetWorkspaceSizeExecSeluBackwardGetWorkspaceSizeaclnnSigmoidaclnn_sigmoid.cppaclnnInplaceSigmoidaclnnInplaceSigmoidaclnnSigmoidOpDfxGuardaclnnInplaceSigmoidGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSigmoidGetWorkspaceSizeExecSigmoidGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSigmoidGetWorkspaceSize   aclnnSigmoidBackwardaclnn_sigmoid_backward.cppDFX_IN(gradOutput, output)outputContiguous != nullptroutputBroadCast != nullptrsigmoidGradOpOut != nullptrsigmoidGradCasted != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput dtype %s is unsupported by the current SOC version [%s].GradOutput dtype %s is unsupported by the current SOC version [%s].[%s:%d][%s][%s][%ld] errno[%d] %sGradOutput dtype %s and output dtype %s can not promote dtype.GradOutput dtype %s and output dtype %s can not promote dtype.CheckNotNull(gradOutput, output, gradInput)CheckDtypeValid(gradOutput, output, gradInput)CheckShape(gradOutput, output, gradInput)CheckPromoteType(gradOutput, output, gradInput, promoteType)[%s:%d][%s][%s][%ld] errno[%d] %sthe size of tensor self %s must match the size of tensor other %s.the size of tensor self %s must match the size of tensor other %s.[%s:%d][%s][%s][%ld] errno[%d] %sExepected tensor for result to have same size as tensor for gradInput, but %s does not equal %s.Exepected tensor for result to have same size as tensor for gradInput, but %s does not equal %s.CheckShapeBroadcast(gradOutput, output, gradInput, resultShape)gradOutputBroadCast != nullptraclnnSigmoidBackward~UniqueExecutorCheckShapeBroadcastCheckPromoteTypeCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSigmoidBackwardGetWorkspaceSizeaclnnSigmoidBackwardGetWorkspaceSize aclnnSignaclnn_sign.cppDFX_OUT(result)CheckNotNull(self, result)CheckDtypeValid(self, result)CheckShape(self, result)signResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sOn Ascend910 self dtype [%s] should be in dtype support list [%s].On Ascend910 self dtype [%s] should be in dtype support list [%s].[%s:%d][%s][%s][%ld] errno[%d] %sOn Ascend910B, self dtype [%s] should be in dtype support list [%s] or be BF16.On Ascend910B, self dtype [%s] should be in dtype support list [%s] or be BF16.[%s:%d][%s][%s][%ld] errno[%d] %sSelf dtype should be same as result dtype. self [%s], result [%s]Self dtype should be same as result dtype. self [%s], result [%s]reshapeSignResultCast != nullptraclnnSign~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSignGetWorkspaceSizeaclnnSignGetWorkspaceSize   aclnnSignbitaclnn_signbit.cppsignBitOpOut != nullptraclnnSignbit~UniqueExecutorFillScalarCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSignbitGetWorkspaceSizeaclnnSignbitGetWorkspaceSize      aclnnSiluaclnn_silu.cppsiluOut != nullptraclnnSilu~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSiluGetWorkspaceSizeaclnnSiluGetWorkspaceSizeaclnnSiluBackwardaclnn_silu_backward.cppswishGradOpOut != nullptraclnnSiluBackward~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSiluBackwardGetWorkspaceSizeaclnnSiluBackwardGetWorkspaceSizeaclnnSinaclnn_sin.cppaclnnInplaceSinsinOpOut != nullptraclnnInplaceSinaclnnSinCheckInplaceDtypeValidCheckInplaceParamsOpDfxGuardaclnnInplaceSinGetWorkspaceSizeaclnnInplaceSinGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSinGetWorkspaceSizeExecSinGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSinGetWorkspaceSize   aclnnSincaclnn_sinc.cppaclnnInplaceSincsinOut != nullptrdivOut != nullptrsincOut != nullptraclnnInplaceSincaclnnSincCheckInplaceDtypeValidCheckInplaceParamsOpDfxGuardaclnnInplaceSincGetWorkspaceSizeaclnnInplaceSincGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSincGetWorkspaceSizeExecSincGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSincGetWorkspaceSize   -DT! @aclnnSinhaclnn_sinh.cppaclnnInplaceSinhsinhOpOut != nullptraclnnInplaceSinhaclnnSinhOpDfxGuardaclnnInplaceSinhGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecSinhGetWorkspaceSizeExecSinhGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSinhGetWorkspaceSize      aclnnSliceaclnn_slice.cppsliceOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnSlice is not support bfloat16 in current socversion.Input dtype of aclnnSlice is not support bfloat16 in current socversion.DFX_IN(self, dim, start, end, step)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSlice self len %ld to not be greater than %zu but check failed.Expected aclnnSlice self len %ld to not be greater than %zu but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSlice self len %ld to not be less than one but check failed.Expected aclnnSlice self len %ld to not be less than one but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSlice dim value %ld to be in range [%ld, %ld] but check failed.Expected aclnnSlice dim value %ld to be in range [%ld, %ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %saclnnSlice step must be positive.aclnnSlice step must be positive.CheckShape(self, dim, step, out)aclnnSlice~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSliceGetWorkspaceSizeaclnnSliceGetWorkspaceSize  aclnnSliceV2aclnn_slice_v2.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnSliceV2 is not support bfloat16 in current socversion.Input dtype of aclnnSliceV2 is not support bfloat16 in current socversion.DFX_IN(self, starts, ends, axes, steps)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSliceV2 dim value %ld to be in range [%ld, %ld] but check failed.Expected aclnnSliceV2 dim value %ld to be in range [%ld, %ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %saclnnSliceV2 step must be positive.aclnnSliceV2 step must be positive.CheckShape(self, axes, steps, out)aclnnSliceV2~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSliceV2GetWorkspaceSizeaclnnSliceV2GetWorkspaceSize  aclnnSlogdetaclnn_slogdet.cppsignOutDFX_OUT(signOut, logOut)signValue != nullptrsignReshapeOut != nullptrsignCastOut != nullptrsignCopyResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe self's dtype is %s, signOut's dtype should also be complex type but got signOut with dtype %s.The self's dtype is %s, signOut's dtype should also be complex type but got signOut with dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sThe self's dtype is %s, logOut's dtype should also be complex type but got signOut with dtype %s.The self's dtype is %s, logOut's dtype should also be complex type but got signOut with dtype %s.[%s:%d][%s][%s][%ld] errno[%d] %sexpect shape of signOut is %s, but got %s.expect shape of signOut is %s, but got %s.[%s:%d][%s][%s][%ld] errno[%d] %sexpect shape of logOut is %s, but got %s.expect shape of logOut is %s, but got %s.CheckNotNull(self, signOut, logOut)CheckDtypeValid(self, signOut, logOut)CheckShape(self, signOut, logOut)aclnnSlogdet~UniqueExecutorReshapeDimCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSlogdetGetWorkspaceSizeaclnnSlogdetGetWorkspaceSize aclnnSmoothL1Lossaclnn_smooth_l1_loss.cppThe cast return nullptr.The TransData return nullptr.The ReFormat return nullptr.CheckDtypeValid(self, target)[%s:%d][%s][%s][%ld] errno[%d] %sThe Contiguous return nullptr.The Contiguous return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe TransData return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe ReFormat return nullptr.DFX_IN(self, target, reduction, beta)CheckNotNullTensor(self, target, result)CheckPromoteType(self->GetDataType(), target->GetDataType(), result->GetDataType(), promoteType)[%s:%d][%s][%s][%ld] errno[%d] %sThe self with InputPreProcess return nullptr.The self with InputPreProcess return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe target with InputPreProcess return nullptr.The target with InputPreProcess return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe reslut with SmoothL1Loss return nullptr.The reslut with SmoothL1Loss return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe smoothL1LossResult with TransData return nullptr.The smoothL1LossResult with TransData return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe smoothL1LossResult with cast return nullptr.The smoothL1LossResult with cast return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe reslut with ViewCopy return nullptr.The reslut with ViewCopy return nullptr.aclnnSmoothL1Loss~UniqueExecutorInputPreProcessCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSmoothL1LossGetWorkspaceSizeaclnnSmoothL1LossGetWorkspaceSizeaclnnSmoothL1LossBackwardCheckBeta(beta)smoothGrad != nullptrsmoothGradCasted != nullptraclnn_smooth_l1_loss_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sThe input tensor with TransData return nullptr.The input tensor with TransData return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sGradOut dtype %s and self dtype %s can not promote dtype.GradOut dtype %s and self dtype %s can not promote dtype.[%s:%d][%s][%s][%ld] errno[%d] %sGradOut dtype %s and target dtype %s can not promote dtype.GradOut dtype %s and target dtype %s can not promote dtype.DFX_IN(gradOut, self, target, reduction, beta)CheckNotNull(gradOut, self, target, gradInput)CheckDtypeValid(gradOut, self, target, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sexpected tensor must have at most %zu dimensions, but got %zu.expected tensor must have at most %zu dimensions, but got %zu.CheckShape(gradOut, self, target)[%s:%d][%s][%s][%ld] errno[%d] %sReduction should be between 0 and 2, but got %ldReduction should be between 0 and 2, but got %ld[%s:%d][%s][%s][%ld] errno[%d] %sbeta should be greater than or equal to 0beta should be greater than or equal to 0CheckPromoteType(gradOut, self, target, gradInput, promoteType)CheckShapeBroadcast(gradOut, self, target, gradInput, resultShape)aclnnSmoothL1LossBackward~UniqueExecutorCheckReformatCheckShapeBroadcastCheckPromoteTypeCheckBetaCheckReductionCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSmoothL1LossBackwardGetWorkspaceSizeaclnnSmoothL1LossBackwardGetWorkspaceSizeaclnnSoftMarginLossaclnn_soft_margin_loss.cppaclnnSoftMarginLoss~UniqueExecutorFillScalarCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSoftMarginLossGetWorkspaceSizeaclnnSoftMarginLossGetWorkspaceSizeaclnnSoftMarginLossBackwardaclnn_soft_margin_loss_backward.cppaclnnSoftMarginLossBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSoftMarginLossBackwardGetWorkspaceSizeaclnnSoftMarginLossBackwardGetWorkspaceSizeaclnnSoftmaxaclnn_softmax.cpp[%s:%d][%s][%s][%ld] %sEntering aclnnSoftmax[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnSoftMax is not support bfloat16 in current socversion.Input dtype of aclnnSoftMax is not support bfloat16 in current socversion.aclnnSoftmaxaclnnSoftmax~UniqueExecutorCheckShapeCheckDimCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSoftmaxGetWorkspaceSizeaclnnSoftmaxGetWorkspaceSize aclnnSoftmaxBackwardaclnn_softmax_backward.cpp[%s:%d][%s][%s][%ld] %sEntering aclnnSoftmaxBackward[%s:%d][%s][%s][%ld] errno[%d] %sInput dtype of aclnnSoftMaxBackward is not support bfloat16 in current socversion.Input dtype of aclnnSoftMaxBackward is not support bfloat16 in current socversion.grad_output_contiguous != nullptraclnnSoftmaxBackwardaclnnSoftmaxBackward~UniqueExecutorCheckShapeCheckDimCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSoftmaxBackwardGetWorkspaceSizeaclnnSoftmaxBackwardGetWorkspaceSizeaclnnSoftplusaclnn_softplus.cppDFX_IN(self, beta, threshold)softplusOpOut != nullptrCheckNotNull(self, beta, threshold, out)CheckDtype(self, beta, threshold, out)aclnnSoftplus~UniqueExecutorCheckShapeCheckDtypeIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSoftplusGetWorkspaceSizeaclnnSoftplusGetWorkspaceSizeaclnnSoftplusBackwardaclnn_softplus_backward.cppSoftplusV2GradOut != nullptrDFX_IN(gradOutput, self, beta, threshold)SoftplusV2GradOutCast != nullptraclnnSoftplusBackward~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSoftplusBackwardGetWorkspaceSizeaclnnSoftplusBackwardGetWorkspaceSize   aclnnSoftshrinkaclnn_softshrink.cppCheckLambdValue(lambd)softShrinkOutRet != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sbfloat16 dtype is unsupported by the current SOC version [%s], self dtype is %s and out dtype is %sbfloat16 dtype is unsupported by the current SOC version [%s], self dtype is %s and out dtype is %s[%s:%d][%s][%s][%ld] errno[%d] %slambd should be greater or equal to 0, but found to be [%f].lambd should be greater or equal to 0, but found to be [%f].aclnnSoftshrink~UniqueExecutorCheckLambdValueCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsExecSoftshrinkGetWorkspaceSizeExecSoftshrinkGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnSoftshrinkGetWorkspaceSizeaclnnSoftshrinkBackwardaclnn_softshrink_backward.cppsoftShrinkBackwardOpOut != nullptraclnnSoftshrinkBackward~UniqueExecutorBroadcastToCheckShapeValidCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSoftshrinkBackwardGetWorkspaceSizeaclnnSoftshrinkBackwardGetWorkspaceSizeaclnnSortaclnn_sort.cppzeroIndices != nullptrvaluesCast != nullptrviewCopyValues != nullptrviewCopyIndices != nullptrreshapeSelf != nullptrCheckTupleNullptr(sortRes)values != nullptrindices != nullptrCheckTupleNullptr(castRes)CheckShape(self, values, indices)DFX_IN(self, stable, dim, descending)[%s:%d][%s][%s][%ld] errno[%d] %sAscend310 does not support sort(stable=True)Ascend310 does not support sort(stable=True)[%s:%d][%s][%s][%ld] errno[%d] %sreshapeShape (left + sort) perm return a nullptr.reshapeShape (left + sort) perm return a nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sreshapeShape perm return a nullptr.reshapeShape perm return a nullptr.aclnnSort~UniqueExecutorreshapeCastResSortProcessreshapeShapeHandleDimZeroTensorCheckShapeCheckDimValueCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSortGetWorkspaceSizeaclnnSortGetWorkspaceSize    aclnnSplitTensoraclnn_split_tensor.cpp(*out)[index]sliceRes != nullptrsplitRes != nullptrsplitCast != nullptrsplitViewCopy != nullptrselfViewCopy != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitTensor dim value [%ld] to be in range [%ld, %ld) but check failed.Expected aclnnSplitTensor dim value [%ld] to be in range [%ld, %ld) but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitTensor splitSections to not be greater than split dim shape [%ld] but got [%lu].Expected aclnnSplitTensor splitSections to not be greater than split dim shape [%ld] but got [%lu].[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitTensor splitSections to not be zero while split dim size is not zero but got [%lu].Expected aclnnSplitTensor splitSections to not be zero while split dim size is not zero but got [%lu].[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitTensor splitSections to be zero while split dim size is zero but got [%lu].Expected aclnnSplitTensor splitSections to be zero while split dim size is zero but got [%lu].[%s:%d][%s][%s][%ld] errno[%d] %sIndex value exceeds the out size range, resIndex=%ld, sliceIndex=%zu, out->Size=%ldIndex value exceeds the out size range, resIndex=%ld, sliceIndex=%zu, out->Size=%ldDFX_IN(self, splitSections, dim)CheckShape(self, splitSections, dim, out)[%s:%d][%s][%s][%ld] errno[%d] %sIndex value exceeds the out size range, splitSize->Size=%ld, splitRes->Size=%ld, out->Size=%ldIndex value exceeds the out size range, splitSize->Size=%ld, splitRes->Size=%ld, out->Size=%ldaclnnSplitTensor~UniqueExecutorSplitOnceCalculationSplitLoopCalculationSplitZeroCalculationCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSplitTensorGetWorkspaceSizeaclnnSplitTensorGetWorkspaceSize      aclnnSplitWithSizeaclnn_split_with_size.cppsplitSizeDFX_IN(self, splitSize, dim)[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitWithSize dim value [%ld] to be in range [%ld, %ld) but check failed.Expected aclnnSplitWithSize dim value [%ld] to be in range [%ld, %ld) but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitWithSize all split value sum [%ld] to be equal to split dimIndex [%zu] value [%ld] but check failed.Expected aclnnSplitWithSize all split value sum [%ld] to be equal to split dimIndex [%zu] value [%ld] but check failed.[%s:%d][%s][%s][%ld] errno[%d] %sExpected aclnnSplitWithSize splitSize num [%zu] to be equal to output num [%zu] but check failed.Expected aclnnSplitWithSize splitSize num [%zu] to be equal to output num [%zu] but check failed.CheckNotNull(self, splitSize, out)CheckShape(self, splitSize, dim, out)aclnnSplitWithSize~UniqueExecutorSplitOnceCalculationSplitLoopCalculationSplitZeroCalculationCheckShapeCheckDtypeValidIsNullptrIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnSplitWithSizeGetWorkspaceSizeaclnnSplitWithSizeGetWorkspaceSize      aclnnSqrtaclnn_sqrt.cppaclnnInplaceSqrtaclnnInplaceSqrtaclnnSqrt~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSqrtGetWorkspaceSizeaclnnSqrtGetWorkspaceSize        aclnnStackaclnn_stack.cppstackTensor != nullptrstackTensorTail != nullptrretSplit == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sDim of self is %ld, can't be greater than %ld.Dim of self is %ld, can't be greater than %ld.[%s:%d][%s][%s][%ld] errno[%d] %sdimnum %ld exceed the dim range of the [%ld, %ld].dimnum %ld exceed the dim range of the [%ld, %ld].[%s:%d][%s][%s][%ld] errno[%d] %sInput of aclnnStack should not be null.Input of aclnnStack should not be null.CheckNotNull(tensors, realDim, out)CheckPromoteType(tensors, out)aclnnStack~UniqueExecutorSplitToStackCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckNotNullCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnStackGetWorkspaceSizeaclnnStackGetWorkspaceSize   aclnnStdaclnn_std.cppDim %ld repeatdimArray != nullptrselfReformat != nullptrexpandOpOut != nullptrstdWithMeanOpOut != nullptrDFX_IN(self, dim, correction, keepdim)[%s:%d][%s][%s][%ld] errno[%d] %sDim %ld should be inside the range of input tensor size %ld.Dim %ld should be inside the range of input tensor size %ld.[%s:%d][%s][%s][%ld] errno[%d] %sDim %ld repeataclnnStd~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnStdGetWorkspaceSizeaclnnStdGetWorkspaceSizeo:aclnnStdMeanCorrectionaclnn_std_mean_correction.cppDFX_OUT(stdOut, meanOut)viewCopyMeanResult != nullptrmeanOpOutTmp != nullptrviewCopyStdResult != nullptrCheckNotNull(self, stdOut, meanOut)CheckDtypeValid(self, stdOut, meanOut)CheckShape(self, stdOut, meanOut)aclnnStdMeanCorrection~UniqueExecutorGetExpandMeanDealshapeProdINFDealshapeProdNANFillScalarDealEmptyGetDimArrayCheckShapeCheckDimValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnStdMeanCorrectionGetWorkspaceSizeaclnnStdMeanCorrectionGetWorkspaceSizeaclnnSubaclnn_sub.cppaclnnInplaceSubaclnnSubsaclnnInplaceSubssubOpOut != nullptraclnnInplaceSubsaclnnSubsaclnnInplaceSubaclnnSubCheckInplaceaclnnInplaceSubGetWorkspaceSizeCheckShapeScalarCheckParamsScalarOpDfxGuardaclnnSubsGetWorkspaceSizeaclnnSubsGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnSubGetWorkspaceSizeaclnnSubGetWorkspaceSize     aclnnSumaclnn_sum.cppCheckNotNull(tensors, out)CheckShape(tensors, out)onesComputeOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sexpected a proper Tensor but got null for tensor %lu.expected a proper Tensor but got null for tensor %lu.[%s:%d][%s][%s][%ld] errno[%d] %sDim of tensor %lu is %ld, can't be greater than %ld.Dim of tensor %lu is %ld, can't be greater than %ld.aclnnSum~UniqueExecutorSplitToSumNCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckNotNullCheckParamsSplitStringAndPrintOpDfxGuardaclnnSumGetWorkspaceSizeaclnnSumGetWorkspaceSizeaclnnTakeaclnn_take.cppCheckShape(self, index, out)DFX_IN(self, index)self1D != nullptrgatherResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %stake operator doesn't support [%s], except on ASCEND910B chiptake operator doesn't support [%s], except on ASCEND910B chip[%s:%d][%s][%s][%ld] errno[%d] %sIndexError: take(): tried to take from an empty tensorIndexError: take(): tried to take from an empty tensor[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, self [%s]Format only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, self [%s][%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, index [%s]Format only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, index [%s][%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, out [%s]Format only support ND, NCHW, NHWC, HWCN, NDHWC, NCDHW, out [%s]aclnnTake~UniqueExecutorCheckFormatCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnTakeGetWorkspaceSizeaclnnTakeGetWorkspaceSize    aclnnTanaclnn_tan.cppaclnnInplaceTantanOut != nullptrCheckDtypeCanCast(self, out)aclnnInplaceTanaclnnTanCheckParamsInplaceOpDfxGuardaclnnInplaceTanGetWorkspaceSizeaclnnInplaceTanGetWorkspaceSize~UniqueExecutorComputeCheckDtypeCanCastCheckShapeCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnTanGetWorkspaceSizeaclnnTanGetWorkspaceSize        aclnnTanhaclnn_tanh.cppaclnnInplaceTanh[%s:%d][%s][%s][%ld] errno[%d] %sFormat only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, not support [%s].Format only support ND、NCHW、NHWC、HWCN、NDHWC、NCDHW, not support [%s].aclnnInplaceTanhOpDfxGuardaclnnInplaceTanhGetWorkspaceSizeaclnnTanhSplitStringAndPrintOpDfxGuardaclnnTanhGetWorkspaceSize~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsExecTanhGetWorkspaceSizeExecTanhGetWorkspaceSize      aclnnTanhBackwardaclnn_tanh_backward.cpptanhBackwardOpOut != nullptrCheckShapeValid(gradOutput, output, gradInput)aclnnTanhBackward~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnTanhBackwardGetWorkspaceSizeaclnnTanhBackwardGetWorkspaceSize  aclnnThreeInterpolateBackwardgrad_xDFX_IN(grad_x, idx, weight)DFX_OUT(grad_y)grad_ygrad_x_contiguous != nullptrweight_contiguous != nullptrgrad_x_5d != nullptrout_5d != nullptrout_4d != nullptraclnn_three_interpolate_backward.cppCheckNotNull(grad_x, idx, weight, grad_y)CheckDtypeValid(grad_x, idx, weight)aclnnThreeInterpolateBackward~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnThreeInterpolateBackwardGetWorkspaceSizeaclnnThreeInterpolateBackwardGetWorkspaceSize aclnnThresholdaclnn_threshold.cppaclnnInplaceThresholdthresholdOut != nullptrCheckNotNull(self, threshold, value, out)DFX_IN(selfRef, threshold, value)DFX_IN(self, threshold, value)aclnnInplaceThresholdOpDfxGuardaclnnInplaceThresholdGetWorkspaceSizeaclnnThresholdSplitStringAndPrintOpDfxGuardaclnnThresholdGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsExecThresholdGetWorkspaceSizeExecThresholdGetWorkspaceSize  aclnnThresholdBackwardaclnn_threshold_backward.cppDFX_IN(gradOutput, self, threshold)CheckPtrValid(gradOutput, self)aclnnThresholdBackward~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnThresholdBackwardGetWorkspaceSizeaclnnThresholdBackwardGetWorkspaceSizeaclnnTopkaclnn_topk.cpp[%s:%d][%s][%s][%ld] errno[%d] %sSelected index k out of range (max num of self.size(%ld) is %ld,but k is %ld)Selected index k out of range (max num of self.size(%ld) is %ld,but k is %ld)DFX_IN(self, k, dim, largest, sorted)valuesTopkOut != nullptr && indicesTopkOut != nullptrvaluesTopkOut != nullptr && indicesCastInt32!= nullptraclnnTopk~UniqueExecutorCheckShapeCheckDtypeValidCheckParamValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnTopkGetWorkspaceSizeaclnnTopkGetWorkspaceSize    aclnnTraceaclnn_trace.cppCheckParamValid(self, out)traceOpOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %strace: expected a matrix, but got tensor with dim %zutrace: expected a matrix, but got tensor with dim %zuaclnnTrace~UniqueExecutorCheckDtypeValidCheckParamValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnTraceGetWorkspaceSizeaclnnTraceGetWorkspaceSize   aclnnTransConvolutionWeighttensorShapeweightFz != nullptrDFX_OUT(weightOut)weightInweightOutweightInContiguous != nullptrweightInCast != nullptraclnn_trans_convolution_weight.cppweightFz->GetViewShape().GetDimNum() == g_dimNum[%s:%d][%s][%s][%ld] errno[%d] %sonly support 4 dim tensorShape, but got dim %lu.only support 4 dim tensorShape, but got dim %lu.[%s:%d][%s][%s][%ld] errno[%d] %sonly support nontranspose convolution, now transpose is %u.only support nontranspose convolution, now transpose is %u.[%s:%d][%s][%s][%ld] errno[%d] %sonly support groups larger than 0, now groups is %lu.only support groups larger than 0, now groups is %lu.[%s:%d][%s][%s][%ld] errno[%d] %sonly support ascend310P, now soc is %s.only support ascend310P, now soc is %s.[%s:%d][%s][%s][%ld] errno[%d] %sexpected a value of type number for argument weightTensorSize but instead found type null.expected a value of type number for argument weightTensorSize but instead found type null.[%s:%d][%s][%s][%ld] errno[%d] %sonly support datatype is float16, now datatype is %u.only support datatype is float16, now datatype is %u.DFX_IN(weightIn, transposed, groups)[%s:%d][%s][%s][%ld] errno[%d] %sonly support weightIn datatype is float16/float32, now datatype is %s.only support weightIn datatype is float16/float32, now datatype is %s.[%s:%d][%s][%s][%ld] errno[%d] %sonly support weightOut datatype is float16, now datatype is %s.only support weightOut datatype is float16, now datatype is %s.[%s:%d][%s][%s][%ld] errno[%d] %sonly support weightIn format is NCHW, now format is %s.only support weightIn format is NCHW, now format is %s.[%s:%d][%s][%s][%ld] errno[%d] %sonly support weightOut format is NCHW, now format is %s.only support weightOut format is NCHW, now format is %s.[%s:%d][%s][%s][%ld] errno[%d] %sonly support weightOut tensor is contiguous.only support weightOut tensor is contiguous.aclnnTransConvolutionWeightCheckTensorIsNullptrAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnTransConvolutionWeightGetWorkspaceSizeaclnnTransConvolutionWeightGetWorkspaceSize~UniqueExecutorCheckParamsIsNullptraclnnCalculateConvolutionWeightSizeaclnnCalculateConvolutionWeightSizeCalculateConvWeightSizeaclnnTransMatmulWeightaclnn_trans_matmul_weight.cppCheckShapeDim(tensorShape)socCheckRes == ACLNN_SUCCESSCheckShapeDimV2(tensorShape)No zeros are allow in shapeCheckNotNull(input)CheckDtypeValid(input)CheckFormatValid(input)DFX_IN(mmWeightRef)DFX_OUT(mmWeightRef)[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected that tensorShape has 2, but got size %lu.It is expected that tensorShape has 2, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected that tensorShape has 2-6, but got size %lu.It is expected that tensorShape has 2-6, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sNo zeros are allow in shapeCheckNonZeroShape(tensorShape)[%s:%d][%s][%s][%ld] errno[%d] %sthe format of input should be ND. Actual is [%s].the format of input should be ND. Actual is [%s].CheckShapeDimV2(tensorShapeArray)CheckShapeDim(tensorShapeArray)[%s:%d][%s][%s][%ld] %sReturning calculated weight tensor sise is %luPrivateFormatResult != nullptraclnnTransMatmulWeight~UniqueExecutorCheckShapeCheckFormatValidCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnTransMatmulWeightGetWorkspaceSizeaclnnTransMatmulWeightGetWorkspaceSizeCheckNonZeroShapeCheckShapeDimV2CheckSocValidaclnnCalculateMatmulWeightSizeV2CheckShapeDimIsNullptraclnnCalculateMatmulWeightSizeaclnn_trans_quant_param.cpp[%s:%d][%s][%s][%ld] errno[%d] %sThe quantParam is nullptr, please check.The quantParam is nullptr, please check.[%s:%d][%s][%s][%ld] errno[%d] %saddOffsetSize must be large than 0, but got %luaddOffsetSize must be large than 0, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %saddOffsetArray is nullptr, addOffsetSize must be 0, but got %luaddOffsetArray is nullptr, addOffsetSize must be 0, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %smulScaleSize must be large than 0, but got %lumulScaleSize must be large than 0, but got %lu[%s:%d][%s][%s][%ld] errno[%d] %smulScaleArray can not be nullptr.mulScaleArray can not be nullptr.CheckQuantParam(offsetArray, offsetSize, scaleArray, scaleSize) == ACLNN_SUCCESSCheckQuantParamOutput(quantParam, quantParamSize) == ACLNN_SUCCESSCheckQuantParamOutputCheckQuantParamaclnnTransQuantParamCheckNotNull(scale, out)CheckShape(scale, offset)aclnn_trans_quant_param_v2.cppCheckDtypeValid(scale, offset, out)CheckFormat(scale, offset, out)[%s:%d][%s][%s][%ld] errno[%d] %sshape of scale only support (n, ) and (1, n), but current is %sshape of scale only support (n, ) and (1, n), but current is %s[%s:%d][%s][%s][%ld] errno[%d] %sshape of offset only support (n, ) and (1, n), but current is %sshape of offset only support (n, ) and (1, n), but current is %s[%s:%d][%s][%s][%ld] errno[%d] %sscale and offset should be same when both greater than 1, but scale is %ld, offset is %ldscale and offset should be same when both greater than 1, but scale is %ld, offset is %ldCheckShapeCheckDtypeValidIsNullptrCheckParamsaclnnTransQuantParamV2GetWorkspaceSize aclnnTriangularSolveaclnn_triangular_solve.cppDFX_OUT(xOut, mOut)aBroadcast != nullptrviewCopyResultM != nullptrones != nullptrtempSub != nullptrtempMul != nullptrresultX != nullptrviewCopyResultX != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sA must be batchs of square matrices, but they are %zu by %zu matrices.A must be batchs of square matrices, but they are %zu by %zu matrices.[%s:%d][%s][%s][%ld] errno[%d] %sIncompatible matrix sizes for triangular_solve: each A matrix is %zu by %zu but each b matrix is %zu by %zu.Incompatible matrix sizes for triangular_solve: each A matrix is %zu by %zu but each b matrix is %zu by %zu.[%s:%d][%s][%s][%ld] errno[%d] %sBroadcast fail, the size of tensor a must match the size of tensor b at non-singleton diemnsion.Broadcast fail, the size of tensor a must match the size of tensor b at non-singleton diemnsion.DFX_IN(self, A, upper, transpose, unitriangular)CheckNotNull(self, A, xOut, mOut)CheckDtypeValid(self, A, xOut, mOut)CheckShape(self, A, xOut, mOut)[%s:%d][%s][%s][%ld] errno[%d] %sunitriangular mode only support float.unitriangular mode only support float.aclnnTriangularSolve~UniqueExecutorCalcuUnitriangularCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnTriangularSolveGetWorkspaceSizeaclnnTriangularSolveGetWorkspaceSize aclnnTrilaclnn_tril.cppaclnnInplaceTriltrilResult != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sDim of self should be last 2 dims.Dim of self should be last 2 dims.[%s:%d][%s][%s][%ld] errno[%d] %sself format is different with out format, self [%s], out [%s].self format is different with out format, self [%s], out [%s].aclnnInplaceTrilaclnnTril~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnTrilGetWorkspaceSizeaclnnTrilGetWorkspaceSize      aclnnTriuaclnn_triu.cppaclnnInplaceTriutriuResult != nullptrDFX_IN(selfRef, diagonal)aclnnInplaceTriuaclnnTriuOpDfxGuardaclnnInplaceTriuGetWorkspaceSizeAddParamToBufSplitStringAndPrintOpDfxGuardaclnnTriuGetWorkspaceSize~UniqueExecutorCheckShapeCheckFormatCheckDtypeValidIsNullptrCheckParamsdoTriuGetWorkspaceSizedoTriuGetWorkspaceSize      aclnnTruncaclnn_trunc.cppaclnnInplaceTrunctruncOpOut != nullptraclnnInplaceTruncaclnnTruncOpDfxGuardaclnnInplaceTruncGetWorkspaceSize~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsExecTruncGetWorkspaceSizeExecTruncGetWorkspaceSizeSplitStringAndPrintOpDfxGuardaclnnTruncGetWorkspaceSizeaclnnInplaceUniformaclnn_uniform.cpp[%s:%d][%s][%s][%ld] errno[%d] %sfrom cannot be greater than to, from is %lf and to is %lf.from cannot be greater than to, from is %lf and to is %lf.aclnnInplaceUniform~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnInplaceUniformGetWorkspaceSizeaclnnInplaceUniformGetWorkspaceSize  aclnnUniqueaclnn_unique.cppDFX_OUT(valueOut, inverseOut)valueOutinverseOutDFX_IN(self, sorted, returnInverse)CheckNotNull(self, valueOut, inverseOut)CheckDtypeValid(self, valueOut, inverseOut)CheckShapeValid(self, returnInverse, valueOut, inverseOut)aclnnUnique~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUniqueGetWorkspaceSizeaclnnUniqueGetWorkspaceSize    aclnnUnique2aclnn_unique2.cppcountsOutDFX_IN(self, sorted, returnInverse, returnCounts)DFX_OUT(valueOut, inverseOut, countsOut)CheckNotNull(self, valueOut, inverseOut, countsOut)CheckDtypeValid(self, valueOut, inverseOut, countsOut)CheckShapeValid(self, returnInverse, returnCounts, valueOut, inverseOut, countsOut)aclnnUnique2~UniqueExecutorCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUnique2GetWorkspaceSizeaclnnUnique2GetWorkspaceSize    aclnnUniqueConsecutiveaclnn_unique_consecutive.cppCheckShapeValid(self)DFX_IN(self, returnInverse, returnCounts, dim)[%s:%d][%s][%s][%ld] errno[%d] %sThe param of dim must be in the range of [%ld, %ld], but got %ld.The param of dim must be in the range of [%ld, %ld], but got %ld.aclnnUniqueConsecutive~UniqueExecutorCheckDimValueCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUniqueConsecutiveGetWorkspaceSizeaclnnUniqueConsecutiveGetWorkspaceSize  aclnnUniqueDimaclnn_unique_dim.cppDFX_IN(self, sorted, returnInverse, dim)aclnnUniqueDim~UniqueExecutorCheckDimValueCheckShapeValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUniqueDimGetWorkspaceSizeaclnnUniqueDimGetWorkspaceSize  aclnnUpsampleBicubic2daclnn_upsample_bicubic_2d.cppscales != nullptrpermuteHWNCArray != nullptroutTranspose != nullptrresizeDOut != nullptrresizeDOutReshape != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected output_size equals to 2, but got size %zuIt is expected output_size equals to 2, but got size %zu[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should greater than 0, bug got input (H: %ld, W: %ld) output (H: %ld, W: %ld)Input and output sizes should greater than 0, bug got input (H: %ld, W: %ld) output (H: %ld, W: %ld)[%s:%d][%s][%s][%ld] errno[%d] %sNon-empty 4D data tensor expected but got a tensor with sizes %s.Non-empty 4D data tensor expected but got a tensor with sizes %s.CheckShape(self, outputSize, out)DFX_IN(self, outputSize, alignCorners, scalesH, scalesW)resizeDOutTranspose != nullptraclnnUpsampleBicubic2d~UniqueExecutorCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleBicubic2dGetWorkspaceSizeaclnnUpsampleBicubic2dGetWorkspaceSizegradOutTranspose != nullptrgradInputTranspose != nullptrResizeGradDOut != nullptraclnnUpsampleBicubic2dBackwardaclnn_upsample_bicubic_2d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sExpected grad_output to have the same shape as output; output.size(%zu) = %ld but got grad_output.size(%zu) = %ldExpected grad_output to have the same shape as output; output.size(%zu) = %ld but got grad_output.size(%zu) = %ldCheckNotNull(gradOut, outputSize, inputSize, gradInput)CheckDtypeValid(gradOut, gradInput)[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected input_size equals to 4, but got size %zuIt is expected input_size equals to 4, but got size %zuCheckShape(gradOut, outputSize, inputSize)CheckInputElement(gradOut, outputSize, inputSize)DFX_IN(gradOut, outputSize, inputSize, alignCorners, scalesH, scalesW)resizeGradDOutContiguous != nullptrResizeGradDOutTranspose != nullptraclnnUpsampleBicubic2dBackward~UniqueExecutorupsampleBicubic2dAdaptCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleBicubic2dBackwardGetWorkspaceSizeaclnnUpsampleBicubic2dBackwardGetWorkspaceSizeaclnnUpsampleBilinear2dCheckNotNull(selfRef, out)CheckDtypeValid(selfRef, out)CheckDtypeEqual(selfRef, out)CheckFormat(selfRef, out)selfRef_contiguous != nullptrout_contiguous != nullptrout_transdata != nullptraclnn_upsample_bilinear_2d.cppDFX_IN(self, output_size, align_corners, scales_h, scales_w)UnsampleBilinearout != nullptrUnsampleBilinearout_transdata != nullptraclnnUpsampleBilinear2d~UniqueExecutorCheckFormatCheckDtypeEqualCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleBilinear2dGetWorkspaceSizeaclnnUpsampleBilinear2dGetWorkspaceSizegradOutTransdata != nullptrimage != nullptrimageTransdata != nullptrv2GradOut != nullptroutTransdata != nullptraclnnUpsampleBilinear2dBackwardaclnn_upsample_bilinear_2d_backward.cppCheckNotNull(gradOut, outputSize, inputSize, out)CheckDtypeValid(gradOut, out, inputSize)aclnnUpsampleBilinear2dBackward~UniqueExecutorCheckInputElementCheckDtypeValidCheckShapeIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleBilinear2dBackwardGetWorkspaceSizeaclnnUpsampleBilinear2dBackwardGetWorkspaceSizeaclnnUpsampleLinear1daclnn_upsample_linear_1d.cppdimUnsqueeze != nullptrResizeDOut != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected outputSize equals to 1, but got size %zuIt is expected outputSize equals to 1, but got size %zu[%s:%d][%s][%s][%ld] errno[%d] %sNon-empty 3D data tensor expected but got a tensor with sizes %s.Non-empty 3D data tensor expected but got a tensor with sizes %s.[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should greater than 0,bug got output (L: %ld)Input and output sizes should greater than 0,bug got output (L: %ld)[%s:%d][%s][%s][%ld] errno[%d] %sExpected out to have shapesize(%zu) = %ld but got out.size(%zu) = %ldExpected out to have shapesize(%zu) = %ld but got out.size(%zu) = %ldDFX_IN(self, outputSize, alignCorners, scale)CheckNotNull(selfRef, out, outputSize)CheckShape(selfRef, out, outputSize)aclnnUpsampleLinear1d~UniqueExecutorView3dAs4dCheckDtypeValidCheckShapeIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleLinear1dGetWorkspaceSizeaclnnUpsampleLinear1dGetWorkspaceSizeaclnnUpsampleLinear1dBackwardoriginSizeArray != nullptrdimSqueeze != nullptraclnn_upsample_linear_1d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should greater than 0, bug got input (H: %ld), output (H: %ld)Input and output sizes should greater than 0, bug got input (H: %ld), output (H: %ld)[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected output_size equals to 1, but got size %zuIt is expected output_size equals to 1, but got size %zu[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected input_size equals to 3, but got size %zuIt is expected input_size equals to 3, but got size %zuDFX_IN(gradOut, outputSize, inputSize, alignCorners, scales)aclnnUpsampleLinear1dBackward~UniqueExecutorView4dAs3dView3dAs4dCheckInputElementCheckDtypeValidCheckShapeIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleLinear1dBackwardGetWorkspaceSizeaclnnUpsampleLinear1dBackwardGetWorkspaceSizeaclnnUpsampleNearest1daclnn_upsample_nearest_1d.cpppermuteNHWCArray != nullptrpermuteNCHWArray != nullptrCheckDtypeEqual(self, out)outputSizeArray != nullptrselfTransdata != nullptrresizeNearestOut != nullptrresizeNearestOutAiCpu != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected input size equals to %zu, but got sizes %zu.It is expected input size equals to %zu, but got sizes %zu.[%s:%d][%s][%s][%ld] errno[%d] %sInput format should be NCL. Actual: self [%s].Input format should be NCL. Actual: self [%s].resizeNearestOutAiCore != nullptraclnnUpsampleNearest1d~UniqueExecutorView4dAs3dView3dAs4dCheckFormatCheckShapeCheckDtypeEqualCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest1dGetWorkspaceSizeaclnnUpsampleNearest1dGetWorkspaceSizeupsampleNearest1dAiCpuCompute  scalesArray != nullptrscalesTensor != nullptroriginSizeTensor != nullptraclnnUpsampleNearest1dBackwardaclnn_upsample_nearest_1d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should greater than 0,bug got input (L: %ld) output (L: %ld)Input and output sizes should greater than 0,bug got input (L: %ld) output (L: %ld)[%s:%d][%s][%s][%ld] errno[%d] %sExpected gradOut to be 3d Tensor, instead got: %zuExpected gradOut to be 3d Tensor, instead got: %zuDFX_IN(gradOut, outputSize, inputSize, scales)aclnnUpsampleNearest1dBackward~UniqueExecutorView4dAs3dView3dAs4dCheckInputElementCheckDtypeValidCheckShapeIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest1dBackwardGetWorkspaceSizeaclnnUpsampleNearest1dBackwardGetWorkspaceSizeupsampleNearest1dBackwardAiCpuCompute aclnnUpsampleNearest2daclnn_upsample_nearest_2d.cppCheckShape(self, outputSize)[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected output size equals to %lu, but got size %lu.It is expected output size equals to %lu, but got size %lu.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected input size equals to %ld, but got size %zu.It is expected input size equals to %ld, but got size %zu.[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should be greater than %ld, but got input (H: %zu, W: %zu) output (H: %ld, W: %ld).Input and output sizes should be greater than %ld, but got input (H: %zu, W: %zu) output (H: %ld, W: %ld).[%s:%d][%s][%s][%ld] errno[%d] %sNon-empty 4D data tensor expected but got a tensor with size %s.Non-empty 4D data tensor expected but got a tensor with size %s.aclnnUpsampleNearest2d~UniqueExecutorCheckShapeCheckDtypeEqualCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest2dGetWorkspaceSizeaclnnUpsampleNearest2dGetWorkspaceSizeupsampleNearest2dAiCpuCompute  aclnnUpsampleNearest2dBackwardaclnn_upsample_nearest_2d_backward.cppDFX_IN(gradOut, outputSize, inputSize, scalesH, scalesW)resizeNearestGradOut != nullptrresizeNearestGradOutTransdata != nullptrresizeNearestGradOutCast != nullptraclnnUpsampleNearest2dBackward~UniqueExecutorCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest2dBackwardGetWorkspaceSizeaclnnUpsampleNearest2dBackwardGetWorkspaceSizeaclnnUpsampleNearest3daclnn_upsample_nearest_3d.cpppermuteNCDHWArray != nullptrpermuteNDHWCArray != nullptrselfUpsampleNearest != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sInput and output sizes should greater than 0, bug got input (D: %ld, H: %ld, W: %ld) output (D: %ld, H: %ld, W: %ld)Input and output sizes should greater than 0, bug got input (D: %ld, H: %ld, W: %ld) output (D: %ld, H: %ld, W: %ld)[%s:%d][%s][%s][%ld] errno[%d] %sNon-empty 5D data tensor expected but got a tensor with sizes %s.Non-empty 5D data tensor expected but got a tensor with sizes %s.[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected output_size equals to 3, but got size %zuIt is expected output_size equals to 3, but got size %zuCheckInputElement(self, outputSize, out)DFX_IN(self, outputSize, scalesD, scalesH, scalesW)aclnnUpsampleNearest3d~UniqueExecutorCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest3dGetWorkspaceSizeaclnnUpsampleNearest3dGetWorkspaceSizeupsampleNearest3dCompute aclnnUpsampleNearest3dBackwardaclnn_upsample_nearest_3d_backward.cpp[%s:%d][%s][%s][%ld] errno[%d] %sIt is expected input_size equals to 5, but got size %zuIt is expected input_size equals to 5, but got size %zuDFX_IN(gradOut, outputSize, inputSize, scalesD, scalesH, scalesW)aclnnUpsampleNearest3dBackward~UniqueExecutorCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleNearest3dBackwardGetWorkspaceSizeaclnnUpsampleNearest3dBackwardGetWorkspaceSize aclnnUpsampleTrilinear3daclnn_upsample_trilinear_3d.cppselfUpsampleTrilinear != nullptrDFX_IN(self, outputSize, alignCorners, scalesD, scalesH, scalesW)aclnnUpsampleTrilinear3d~UniqueExecutorCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleTrilinear3dGetWorkspaceSizeaclnnUpsampleTrilinear3dGetWorkspaceSizeupsampleTrilinear3dCompute aclnnUpsampleTrilinear3dBackwardaclnn_upsample_trilinear_3d_backward.cppupsampleTrilinearGradOut != nullptrDFX_IN(gradOut, outputSize, inputSize, alignCorners, scalesD, scalesH, scalesW)aclnnUpsampleTrilinear3dBackward~UniqueExecutorCheckInputElementCheckShapeCheckDtypeValidIsNullptrIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnUpsampleTrilinear3dBackwardGetWorkspaceSizeaclnnUpsampleTrilinear3dBackwardGetWorkspaceSizeupsampleTrilinear3dBackwardCompute aclnnVaraclnn_var.cppaclnnVarCorrectionDFX_IN(self, dim, unbiased, keepdim)aclnnVarCorrectionAddParamToBufOpDfxGuardaclnnVarCorrectionGetWorkspaceSizeaclnnVarCorrectionGetWorkspaceSizeaclnnVar~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufSplitStringAndPrintOpDfxGuardaclnnVarGetWorkspaceSizeaclnnVarGetWorkspaceSizeaclnnVarMeanaclnn_var_mean.cppvarOutDFX_OUT(meanOut, varOut)reShapeArray != nullptrvarOpOut != nullptrcastVarOut != nullptrviewCopyVarResult != nullptrCheckNotNull(self, meanOut, varOut)CheckDtypeValid(self, meanOut, varOut)aclnnVarMean~UniqueExecutorFillScalarCheckShapeCheckDimValidCheckDtypeValidIsNullptrCheckParamsAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnVarMeanGetWorkspaceSizeaclnnVarMeanGetWorkspaceSizeaclnnWeightQuantBatchMatmulantiquantX2 != nullptrdiagonalMatrixdeqOffsetaddOffsetmulScaleaclnn_weight_quant_batch_matmul.cppantiquantOffsetTensor != nullptr[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, contiguous return nullptr.The input perprocess failed, contiguous return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe input perprocess failed, reformat return nullptr.The input perprocess failed, reformat return nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sThe dims of the two inputs should be same or larger than 2,now the shapes are %s, %sThe dims of the two inputs should be same or larger than 2,now the shapes are %s, %s[%s:%d][%s][%s][%ld] errno[%d] %sfixpipe Offset's broad cast dim is not equal to one or N, can't broadcastfixpipe Offset's broad cast dim is not equal to one or N, can't broadcast[%s:%d][%s][%s][%ld] errno[%d] %sfixpipe Scale's broad cast dim is not equal to one or N, can't broadcastfixpipe Scale's broad cast dim is not equal to one or N, can't broadcast[%s:%d][%s][%s][%ld] errno[%d] %sdiagonalMatrix shape is not equal to [32, 32]diagonalMatrix shape is not equal to [32, 32][%s:%d][%s][%s][%ld] errno[%d] %ssingle op Offset's broad cast dim is not equal to one or N, can't broadcastsingle op Offset's broad cast dim is not equal to one or N, can't broadcast[%s:%d][%s][%s][%ld] errno[%d] %ssingle op Scale's broad cast dim is not equal to one or N, can't broadcastsingle op Scale's broad cast dim is not equal to one or N, can't broadcast[%s:%d][%s][%s][%ld] errno[%d] %sBias shape last dim need equal to 1 or NBias shape last dim need equal to 1 or NDFX_IN(x1, x2, bias, addOffset, mulScale, diagonalMatrix, deqOffset, deqScale, transposeX1, transposeX2, antiquantScale, antiquantOffset)CheckNotNull(x1, x2, addOffset, mulScale, diagonalMatrix, deqOffset, deqScale, out, transposeX1)CheckDtypeValid(x1, x2, bias, addOffset, mulScale, diagonalMatrix, deqOffset, deqScale, out, transposeX1)CheckShapeValid(x1, x2, bias, addOffset, mulScale, diagonalMatrix, deqOffset, deqScale, transposeX1, transposeX2)InputPreProcess(x1, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(x2, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(bias, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(addOffset, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(mulScale, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(diagonalMatrix, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(deqOffset, unique_executor.get()) == ACLNN_SUCCESSInputPreProcess(deqScale, unique_executor.get()) == ACLNN_SUCCESSaclnnWeightQuantBatchMatmul~UniqueExecutorProcessEmptyTensorCheckAntiQuantTensorValidCheckShapeValidCheckDtypeValidIsNullptrCheckParamAddParamToBufAddParamToBufSplitStringAndPrintOpDfxGuardaclnnWeightQuantBatchMatmulGetWorkspaceSizeaclnnWeightQuantBatchMatmulGetWorkspaceSizeWeightQuantMatmulSingleOpInputPreProcess aclnnWeightQuantBatchMatmulV2antiquantOffsetOptionalquantScaleOptionaltensorBtensorAadvanceCheckResantiquantScale != nullptraclnn_weight_quant_batch_matmul_v2.cpp[%s:%d][%s][%s][%ld] errno[%d] %sx's dtype must be same as antiquantScale's dtype, Actual x's dtype is [%s], antiquantScale's dtype is [%s].x's dtype must be same as antiquantScale's dtype, Actual x's dtype is [%s], antiquantScale's dtype is [%s].[%s:%d][%s][%s][%ld] errno[%d] %santiquantOffsetOptional's dtype must be same as antiquantScale's dtype, Actual antiquantOffsetOptional's dtype is [%s], antiquantScale's dtype is [%s].antiquantOffsetOptional's dtype must be same as antiquantScale's dtype, Actual antiquantOffsetOptional's dtype is [%s], antiquantScale's dtype is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sbiasOptional's dtype should be [DT_FLOAT16], Actual is [%s].biasOptional's dtype should be [DT_FLOAT16], Actual is [%s].[%s:%d][%s][%s][%ld] errno[%d] %sbiasOptional's dtype should be [DT_FLOAT], Actual is [%s].biasOptional's dtype should be [DT_FLOAT], Actual is [%s].[%s:%d][%s][%s][%ld] errno[%d] %swhen quantScaleOptional is not null, y's dtype should be [DT_INT8], Actual is [%s].when quantScaleOptional is not null, y's dtype should be [DT_INT8], Actual is [%s].[%s:%d][%s][%s][%ld] errno[%d] %swhen quantScaleOptional is null, y's dtype should be same as x [%s], Actual is [%s].when quantScaleOptional is null, y's dtype should be same as x [%s], Actual is [%s].IsFormatSupport(x, Format::FORMAT_ND, "x")[%s:%d][%s][%s][%ld] errno[%d] %sweight's format should be ND or FRACTAL_NZ. Actual is [%s].weight's format should be ND or FRACTAL_NZ. Actual is [%s].IsFormatSupport(weight, Format::FORMAT_ND, "weight")IsFormatSupport(antiquantScale, Format::FORMAT_ND, "antiquantScale")IsFormatSupport(antiquantOffsetOptional, Format::FORMAT_ND, "antiquantOffsetOptional")IsFormatSupport(quantScaleOptional, Format::FORMAT_ND, "quantScaleOptional")IsFormatSupport(quantOffsetOptional, Format::FORMAT_ND, "quantOffsetOptional")IsFormatSupport(biasOptional, Format::FORMAT_ND, "biasOptional")IsFormatSupport(y, Format::FORMAT_ND, "y")[%s:%d][%s][%s][%ld] errno[%d] %s%s's dim should be in range [%ld, %ld]. Actual is [%zu].%s's dim should be in range [%ld, %ld]. Actual is [%zu].IsDimSupport(x, dimRangeWithBatch, "x")IsDimSupport(weight, dimRangeWithBatch, "weight")IsDimSupport(y, dimRangeWithBatch, "y")IsDimSupport(x, dimRangeWithoutBatch, "x")IsDimSupport(weight, dimRangeWithoutBatch, "weight")IsDimSupport(y, dimRangeWithoutBatch, "y")IsDimSupport(antiquantScale, dimRangeOptionalInput, "antiquantScale")IsDimSupport(antiquantOffsetOptional, dimRangeOptionalInput, "antiquantOffsetOptional")IsDimSupport(quantScaleOptional, dimRangeOptionalInput, "quantScaleOptional")IsDimSupport(quantOffsetOptional, dimRangeOptionalInput, "quantOffsetOptional")IsDimSupport(biasOptional, dimRangeOptionalInput, "biasOptional")[%s:%d][%s][%s][%ld] errno[%d] %sx's k and weight's k should be equal, Actual x'k is %ld, weight's k is %ld.x's k and weight's k should be equal, Actual x'k is %ld, weight's k is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sk,n shouldn't be larger than %ld, actual k is %ld, n is %ld. When x is transposed, m shouldn't be larger than %ld, actual m is %ld.k,n shouldn't be larger than %ld, actual k is %ld, n is %ld. When x is transposed, m shouldn't be larger than %ld, actual m is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sm,k,n shouldn't be smaller than %d, Actual m is %ld, k is %ld, n is %ld.m,k,n shouldn't be smaller than %d, Actual m is %ld, k is %ld, n is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sIn the int4 scenario, if weight is transposed, k[%ld] should be an even number.In the int4 scenario, if weight is transposed, k[%ld] should be an even number.[%s:%d][%s][%s][%ld] errno[%d] %sIn the int4 scenario, if weight is not transposed, n[%ld] should be an even number In the int4 scenario, if weight is not transposed, n[%ld] should be an even number [%s:%d][%s][%s][%ld] errno[%d] %sy's m and x's m should be equal, Actual y's m is %ld, x's m is %ld.y's m and x's m should be equal, Actual y's m is %ld, x's m is %ld.[%s:%d][%s][%s][%ld] errno[%d] %sy's n and weight's n should be equal, Actual y's n is %ld, weight's n is %ld.y's n and weight's n should be equal, Actual y's n is %ld, weight's n is %ld.[%s:%d][%s][%s][%ld] errno[%d] %scannot support group_size[%d] less than 0.cannot support group_size[%d] less than 0.[%s:%d][%s][%s][%ld] errno[%d] %santiquantGroupSize should be an integer multiple of 32, Actual is %d.antiquantGroupSize should be an integer multiple of 32, Actual is %d.[%s:%d][%s][%s][%ld] errno[%d] %santiquantGroupSize should not be smaller than %d, Actual is %d.antiquantGroupSize should not be smaller than %d, Actual is %d.[%s:%d][%s][%s][%ld] errno[%d] %santiquantGroupSize should not be greater than k-1, which is %ld.Actual antiquantGroupSize is %d.antiquantGroupSize should not be greater than k-1, which is %ld.Actual antiquantGroupSize is %d.[%s:%d][%s][%s][%ld] errno[%d] %swhen antiquantScale's shape size is 1, it's shape should be [%d], [%d], [%ld], and group size shoulde be 0. Actual antiquantScale's shape is %s, group size is [%d]when antiquantScale's shape size is 1, it's shape should be [%d], [%d], [%ld], and group size shoulde be 0. Actual antiquantScale's shape is %s, group size is [%d][%s:%d][%s][%s][%ld] errno[%d] %swhen antiquantScale's shape size is 2, it's shape should be [%ld, %ld], Actual antiquantScale's shape is %s.when antiquantScale's shape size is 2, it's shape should be [%ld, %ld], Actual antiquantScale's shape is %s.[%s:%d][%s][%s][%ld] errno[%d] %swhen quantScaleOptional's shape size is 1, it's shape should be [%d], [%d] or [%ld], Actual is %swhen quantScaleOptional's shape size is 1, it's shape should be [%d], [%d] or [%ld], Actual is %s[%s:%d][%s][%s][%ld] errno[%d] %swhen quantScaleOptional's shape size is 2, it's shape should be [%d, %ld], Actual is %s.when quantScaleOptional's shape size is 2, it's shape should be [%d, %ld], Actual is %s.[%s:%d][%s][%s][%ld] errno[%d] %swhen bias's shape size is 1, it's shape should be [%d], or [%ld], Actual is %s.when bias's shape size is 1, it's shape should be [%d], or [%ld], Actual is %s.[%s:%d][%s][%s][%ld] errno[%d] %swhen bias's shape size is 2, it's shape should be [%d, %ld], Actual is %s.when bias's shape size is 2, it's shape should be [%d, %ld], Actual is %s.DFX_IN(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional)[%s:%d][%s][%s][%ld] errno[%d] %sCurrent Soc do not support quantScaleOptional or quantOffsetOptionalCurrent Soc do not support quantScaleOptional or quantOffsetOptionalCheckNotNull(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)CheckDtypeValid(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)CheckFormatValid(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)CheckDimValid(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)[%s:%d][%s][%s][%ld] errno[%d] %sThe sence quantScaleOptional is null and quantOffsetOptional is't null can't support.The sence quantScaleOptional is null and quantOffsetOptional is't null can't support.[%s:%d][%s][%s][%ld] errno[%d] %sThe type of quantScaleOptional only supports [UINT64], actual is [%s]. You should call the aclnnTransQuantParam() interface.The type of quantScaleOptional only supports [UINT64], actual is [%s]. You should call the aclnnTransQuantParam() interface.CheckQuantScale(quantScaleOptional, quantOffsetOptional)basicCheckRes == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] %stransposeX is %d, transposeWeight is %dTensorContiguousProcess(x, transposeX, uniqueExecutor.get())CreateContiguous(antiquantScale, uniqueExecutor.get())CreateContiguous(antiquantOffsetOptional, uniqueExecutor.get())TensorContiguousProcess(weight, transposeWeight, uniqueExecutor.get())TensorContiguousProcess(antiquantScale, transposeWeight, uniqueExecutor.get())TensorContiguousProcess(antiquantOffsetOptional, transposeWeight, uniqueExecutor.get())CreateContiguous(tensorQuantScaleOptional, uniqueExecutor.get())CreateContiguous(quantOffsetOptional, uniqueExecutor.get())CreateContiguous(biasOptional, uniqueExecutor.get())antiquantOffsetOptional != nullptraclnnWeightQuantBatchMatmulV2~UniqueExecutorTransposeAndTransDataForInputsCreateContiguousCreateTransposedViewCheckBiasShapeCheckQuantParamShapeIsViewShapeSameCheckAntiquantParamShapeCheckAntiquantGroupSizeCheckXWeightYCheckXWeightCheckQuantScaleIsDimSupportCheckDimValidIsFormatSupportCheckFormatValidGetYDtypeSupportListGetXDtypeSupportListGetWeightDtypeSupportListCheckDtypeValidIsNullptrCheckNotNullBasicParamsCheckCheckSocValidSplitStringAndPrintOpDfxGuardaclnnWeightQuantBatchMatmulV2GetWorkspaceSizeaclnnWeightQuantBatchMatmulV2GetWorkspaceSizeadvanceCheckaclnn_weight_quant_batch_matmul_v3.cpp[%s:%d][%s][%s][%ld] errno[%d] %swhen antiquantScale's shape size is 2, it's shape should be [%d, %ld], Actual antiquantScale's shape is %s.when antiquantScale's shape size is 2, it's shape should be [%d, %ld], Actual antiquantScale's shape is %s.CheckDtypeVaild(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)CheckFormatVaild(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)CheckDimVaild(x, weight, antiquantScale, antiquantOffsetOptional, quantScaleOptional, quantOffsetOptional, biasOptional, y)basicCheckres == ACLNN_SUCCESS[%s:%d][%s][%s][%ld] errno[%d] %sm,k,n shouldn't be larger than %ld, Actual m is %ld, k is %ld, n is %ld.m,k,n shouldn't be larger than %ld, Actual m is %ld, k is %ld, n is %ld.CheckBiasShapeCheckQuantParamShapeIsViewShapeSameCheckAntiquantParamShapeCheckAntiquantGroupSizeCheckXWeightYCheckXWeightCheckQuantScaleIsDimSupportCheckDimVaildIsFormatSupportCheckFormatVaildCheckDtypeVaildIsNullptrCheckNotNullBasicParamsCheckaclnnWeightQuantBatchMatmulV3GetWorkspaceSizeaclnn_weight_quant_matmul_all_reduce.cpp[%s:%d][%s][%s][%ld] %sMatmulAllReduce, CheckShape weightDim is %lu[%s:%d][%s][%s][%ld] %sMatmulAllReduce, CheckShape isWeightNZ is %d[%s:%d][%s][%s][%ld] %sMatmulAllReduce, CheckShape x1Len is %lu[%s:%d][%s][%s][%ld] errno[%d] %sExpected shape of antiquantScale to be [1] or [n] or [1,n] for per-tensor/per-channel. in this case, n is %ld, last dim of scale should be %ld or 1, but got scale shape: %s.Expected shape of antiquantScale to be [1] or [n] or [1,n] for per-tensor/per-channel. in this case, n is %ld, last dim of scale should be %ld or 1, but got scale shape: %s.[%s:%d][%s][%s][%ld] errno[%d] %sExpected shape of antiquantScale to be [%zu,%ld] for per-group calculation, but got scale shape: %s.Expected shape of antiquantScale to be [%zu,%ld] for per-group calculation, but got scale shape: %s.CheckNotNull(x1, x2, antiquantScale, output)CheckDtypeValid(x1, x2, bias, antiquantScale, antiquantOffset, x3, output)[%s:%d][%s][%s][%ld] errno[%d] %santiquantGroupSize should be in range [%ld, min(%ld, INT_MAX)], Actual is %ld.antiquantGroupSize should be in range [%ld, min(%ld, INT_MAX)], Actual is %ld.CheckAttr(reduceOp, streamMode, antiquantGroupSize, x1)CheckShape(x1, x2, bias, antiquantScale, antiquantOffset, x3, output, antiquantGroupSize)[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, before aclnnnMatmulAllReduceGetWorkspaceSize hcomm id: %p[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, aclnnnMatmulAllReduceGetWorkspaceSize ret %d[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, end ret %d[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, NnopbaseGetInputTensorAddr: %pWeightQuantMatmulAllReduceAicpu[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantMatmulAllReduce, This is an error in launch aicpu.WeightQuantMatmulAllReduce, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, aclnnnMatmulAllReduce ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantMatmulAllReduce, This is an error in launch aicoreWeightQuantMatmulAllReduce, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, end. notify %p stream %p ret %d[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduce, end. aicpuNotify=nullptr. notify %p stream %paclnnWeightQuantMatmulAllReduceaclnnWeightQuantMatmulAllReduce~UniqueExecutorIsWeightNZFormatCheckShapeCheckAttrCheckDtypeValidIsNullptrCheckParamsaclnnWeightQuantMatmulAllReduceGetWorkspaceSizeaclnnWeightQuantMatmulAllReduceGetWorkspaceSizeASCEND_MC2_DEBUG_MODEaclnn_weight_quant_matmul_all_reduce_add_rms_norm.cppCheckNotNull(x1, x2, antiquantScale, residual, gamma)[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduceAddRmsNorm, dealing with empty tensor.[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduceAddRmsNorm, before aclnnnMatmulAllReduceAddRmsNormGetWorkspaceSize hcomm id: %p[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduceAddRmsNorm, end ret %d[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicpu.WeightQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicpu.[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduceAddRmsNorm, aclnnnMatmulAllReduceAddRmsNorm ret %ld[%s:%d][%s][%s][%ld] errno[%d] %sWeightQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicoreWeightQuantMatmulAllReduceAddRmsNorm, This is an error in launch aicore[%s:%d][%s][%s][%ld] %sWeightQuantMatmulAllReduceAddRmsNorm, end. notify %p stream %p ret %daclnnWeightQuantMatmulAllReduceAddRmsNorm~UniqueExecutorIsNullptraclnnWeightQuantMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnWeightQuantMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnXLogYScalarOtheraclnnInplaceXLogYScalarOtheraclnn_x_log_y_scalar_other.cppaclnnInplaceXLogYScalarOtherOpDfxGuardaclnnInplaceXLogYScalarOtherGetWorkspaceSizeaclnnXLogYScalarOtherSplitStringAndPrintOpDfxGuardaclnnXLogYScalarOtherGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsXLogYScalarOtherGetWorkspaceSizeXLogYScalarOtherGetWorkspaceSize          aclnnXLogYScalarSelfaclnn_x_log_y_scalar_self.cppCheckShape(other, out)aclnnXLogYScalarSelf~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnXLogYScalarSelfGetWorkspaceSizeaclnnXLogYScalarSelfGetWorkspaceSize          aclnnXLogYTensoraclnn_x_log_y_tensor.cppaclnnInplaceXLogYTensoraclnnInplaceXLogYTensorOpDfxGuardaclnnInplaceXLogYTensorGetWorkspaceSizeaclnnXLogYTensorSplitStringAndPrintOpDfxGuardaclnnXLogYTensorGetWorkspaceSize~UniqueExecutorCheckShapeCheckPromoteTypeCheckDtypeValidIsNullptrCheckParamsXLogYTensorGetWorkspaceSizeXLogYTensorGetWorkspaceSize    aclnnInplaceZeroaclnn_zero.cppaclnnInplaceZero~UniqueExecutorCheckDtypeValidIsNullptrCheckParamsSplitStringAndPrintOpDfxGuardaclnnInplaceZeroGetWorkspaceSizeaclnnInplaceZeroGetWorkspaceSize  cube_util.cpp[%s:%d][%s][%s][%ld] errno[%d] %sThe soc version does not support bf16 / fp32 for calculations, please change the setting of cubeMathType or the Dtype of input tensor.The soc version does not support bf16 / fp32 for calculations, please change the setting of cubeMathType or the Dtype of input tensor.[%s:%d][%s][%s][%ld] %sThe cubeMathType is KEEP_DTYPE.[%s:%d][%s][%s][%ld] %sThe cubeMathType is ALLOW_FP32_DOWN_PRECISION.[%s:%d][%s][%s][%ld] %sThe cubeMathType is USE_FP16.[%s:%d][%s][%s][%ld] %sThe cubeMathType is USE_HF32.[%s:%d][%s][%s][%ld] errno[%d] %sThe value of cubeMathType only support {0: KEEP_DTYPE, 1: ALLOW_FP32_DOWN_PRECISION, 2: USE_FP16, 3: USE_HF32}, but got %cThe value of cubeMathType only support {0: KEEP_DTYPE, 1: ALLOW_FP32_DOWN_PRECISION, 2: USE_FP16, 3: USE_HF32}, but got %c[%s:%d][%s][%s][%ld] %sThe inner cubeMathType is FP16FP32_KEEP_DTYPE.[%s:%d][%s][%s][%ld] errno[%d] %sCube only support FP16, FP32, BF16, but got %sCube only support FP16, FP32, BF16, but got %sCalcPromoteTypeCubemathtypeCheckCubeMathTypeForMmCheckSocSupportDtypeCheckCubeMathTypelibhccl.sohccl_util.cppHcomGetCommHandleByGroupHcclAllocComResourceHcclGetAicpuOpStreamAndNotifyHcclGetRankSizeHcclGetTopoDesc[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle hccl handle is nullptr.HcomInitHcclHandle hccl handle is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle dlsym HcomGetCommHandleByGroup from libhccl.so failed, error: %s.HcomInitHcclHandle dlsym HcomGetCommHandleByGroup from libhccl.so failed, error: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle dlsym HcclAllocComResource from libhccl.so failed, error: %s.HcomInitHcclHandle dlsym HcclAllocComResource from libhccl.so failed, error: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle dlsym HcclGetAicpuOpStreamAndNotify from libhccl.so failed, error: %s.HcomInitHcclHandle dlsym HcclGetAicpuOpStreamAndNotify from libhccl.so failed, error: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle dlsym HcclGetRankSize from libhccl.so failed, error: %s.HcomInitHcclHandle dlsym HcclGetRankSize from libhccl.so failed, error: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomInitHcclHandle dlsym HcclGetTopoDesc from libhccl.so failed, error: %s.HcomInitHcclHandle dlsym HcclGetTopoDesc from libhccl.so failed, error: %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomCreateParamByComm err: g_hcclCreateResByComm or g_hcclGetAicpuStmNfy is nullptrHcomCreateParamByComm err: g_hcclCreateResByComm or g_hcclGetAicpuStmNfy is nullptr[%s:%d][%s][%s][%ld] errno[%d] %sHcomCreateParamByComm err in HcclAllocComResource, ret = %d context = %p.HcomCreateParamByComm err in HcclAllocComResource, ret = %d context = %p.[%s:%d][%s][%s][%ld] %sHcomCreateParamByComm HcclAllocComResource successfully.[%s:%d][%s][%s][%ld] errno[%d] %sHcomCreateParamByComm err in HcclGetAicpuOpStreamAndNotify, ret = %d.HcomCreateParamByComm err in HcclGetAicpuOpStreamAndNotify, ret = %d.[%s:%d][%s][%s][%ld] %sHcomCreateParamByComm HcclGetAicpuOpStreamAndNotify successfully.[%s:%d][%s][%s][%ld] errno[%d] %sHcomHcclGetRankSize err: g_hcclGetRankSize is nullptrHcomHcclGetRankSize err: g_hcclGetRankSize is nullptr[%s:%d][%s][%s][%ld] errno[%d] %sHcomHcclGetRankSize err in HcclGetRankSize, ret = %d.HcomHcclGetRankSize err in HcclGetRankSize, ret = %d.[%s:%d][%s][%s][%ld] %sHcomHcclGetRankSize successfully, rankSize = %u.[%s:%d][%s][%s][%ld] errno[%d] %sHcomGetCommByGroup g_hcclGetComm is nullptr.HcomGetCommByGroup g_hcclGetComm is nullptr.[%s:%d][%s][%s][%ld] errno[%d] %sHcomGetCommByGroup err in HcomGetCommHandleByGroup, ret = %d, hComm = %p.HcomGetCommByGroup err in HcomGetCommHandleByGroup, ret = %d, hComm = %p.[%s:%d][%s][%s][%ld] %sHcomGetCommByGroup HcomGetCommHandleByGroup successfully, group = %s.[%s:%d][%s][%s][%ld] errno[%d] %sHcomGetCommByGroup err in HcomHcclGetRankSize.HcomGetCommByGroup err in HcomHcclGetRankSize.[%s:%d][%s][%s][%ld] errno[%d] %sHcomGetCommByGroup err in HcclGetTopoDesc, ret = %d.HcomGetCommByGroup err in HcclGetTopoDesc, ret = %d.[%s:%d][%s][%s][%ld] %sHcomGetCommByGroup update topo_level_descs successfully.[%s:%d][%s][%s][%ld] errno[%d] %sHcomGetCommByGroup err in SetGroupTopoInfo, stat = %d.HcomGetCommByGroup err in SetGroupTopoInfo, stat = %d.HcomHcclGetRankSizeHcomCreateParamByCommHcomGetCommByGroupHcomInitHcclHandlematmul_util.cppselfReshapeOutput != nullptrmat2ReshapeOutput != nullptr[%s:%d][%s][%s][%ld] %sSelf tensor input's ori dtype = %s and format = %s; Mat2 tensor input's ori dtype = %s and format = %s;Output tensor's ori dtype = %s and ori format = %s;Self tensor input's Npu dtype = %s and Npu format = %s; Mat2 tensor input's Npu dtype = %s and Npuformat = %s;Output tensor's Npu dtype = %s and Npu format = %s.[%s:%d][%s][%s][%ld] %sMatmul support NDNDND[%s:%d][%s][%s][%ld] %sMatmul do not support NDNDND[%s:%d][%s][%s][%ld] %sHit MatMul or BatchMatmul n=1 and n is inner scenario, trans n axis to outer[%s:%d][%s][%s][%ld] %sHit MatMul or BatchMatmul m=1 and m is inner scenario, trans m axis to outerIfNEqual1Mat2ToNKIfMEqual1SelfToMKIfKEqual1Mat2ToKNIfKEqual1SelfToMKGetMmInfoSetMmSupportFormattensor_util.cppProcessEmptyTensorWithValuedynamic_input_output_op.cppout_cast != nullptrout_wrapper != nullptrExecuteDynamicInputOutputOpreduce_op.cccontiguous_x != nullptrcast_result != nullptrExecuteReduceOpsingle_input_output_op.cppExecuteSingleInputOutputOph6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAddLayerNormTilingAddLayerNormx1 != nullptrx2 != nullptrgamma != nullptrbeta != nullptryOut != nullptrmeanOut != nullptrrstdOut != nullptrxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, beta, 3)NnopbaseAddInput(*executor, biasOptional, 4)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&additionalOutputOptional), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, meanOut, 1)NnopbaseAddOutput(*executor, rstdOut, 2)NnopbaseAddOutput(*executor, xOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAddLayerNormGetWorkspaceSizeaclnnAddLayerNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAddLayerNormGradTilingAddLayerNormGraddy != nullptrx1 != nullptrx2 != nullptrrstd != nullptrmean != nullptrgamma != nullptrdxOut != nullptrdgammaOut != nullptrdbetaOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, x1, 1)NnopbaseAddInput(*executor, x2, 2)NnopbaseAddInput(*executor, rstd, 3)NnopbaseAddInput(*executor, mean, 4)NnopbaseAddInput(*executor, gamma, 5)NnopbaseAddInput(*executor, dsumOptional, 6)NnopbaseAddOutput(*executor, dxOut, 0)NnopbaseAddOutput(*executor, dgammaOut, 1)NnopbaseAddOutput(*executor, dbetaOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAddLayerNormGradGetWorkspaceSizeaclnnAddLayerNormGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAddLayerNormQuantTilingdynamicAddLayerNormQuantx1 != nullptrx2 != nullptrgamma != nullptrbeta != nullptry1Out != nullptry2Out != nullptrxOut != nullptroutScales1Out != nullptroutScales2Out != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, beta, 3)NnopbaseAddInput(*executor, biasOptional, 4)NnopbaseAddInput(*executor, scales1Optional, 5)NnopbaseAddInput(*executor, scales2Optional, 6)NnopbaseAddInput(*executor, zeroPoints1Optional, 7)NnopbaseAddInput(*executor, zeroPoints2Optional, 8)NnopbaseAddAttrWithDtype(*executor, static_cast(quantModeOptional), strlen(quantModeOptional) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(quantModeOptionalDef), strlen(quantModeOptionalDef) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&additionalOutputOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddOutput(*executor, y1Out, 0)NnopbaseAddOutput(*executor, y2Out, 1)NnopbaseAddOutput(*executor, xOut, 2)NnopbaseAddOutput(*executor, outScales1Out, 3)NnopbaseAddOutput(*executor, outScales2Out, 4)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAddLayerNormQuantGetWorkspaceSizeaclnnAddLayerNormQuanth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAddRmsNormTilingAddRmsNormx1 != nullptrx2 != nullptrgamma != nullptryOut != nullptrrstdOut != nullptrxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, rstdOut, 1)NnopbaseAddOutput(*executor, xOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAddRmsNormGetWorkspaceSizeaclnnAddRmsNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAddRmsNormQuantTilingAddRmsNormQuantx1 != nullptrx2 != nullptrgamma != nullptrscales1 != nullptry1Out != nullptry2Out != nullptrxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, scales1, 3)NnopbaseAddInput(*executor, scales2Optional, 4)NnopbaseAddInput(*executor, zeroPoints1Optional, 5)NnopbaseAddInput(*executor, zeroPoints2Optional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddOutput(*executor, y1Out, 0)NnopbaseAddOutput(*executor, y2Out, 1)NnopbaseAddOutput(*executor, xOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAddRmsNormQuantGetWorkspaceSizeaclnnAddRmsNormQuanth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAngleV2TilingAngleV2x != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnAngleV2GetWorkspaceSizeaclnnAngleV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnApplyCamePart1TilingApplyCamePart1grad != nullptreps != nullptrsumGradROut != nullptrsumGradCOut != nullptrsumGradRcOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, grad, 0)NnopbaseAddInput(*executor, eps, 1)NnopbaseAddOutput(*executor, sumGradROut, 0)NnopbaseAddOutput(*executor, sumGradCOut, 1)NnopbaseAddOutput(*executor, sumGradRcOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnApplyCamePart1GetWorkspaceSizeaclnnApplyCamePart1h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnApplyCamePart2TilingApplyCamePart2grad != nullptrsumGradR != nullptrsumGradC != nullptrsumGradRc != nullptrrIn != nullptrcIn != nullptrbeta2 != nullptrrOutOut != nullptrcOutOut != nullptruOut != nullptrsumSquareUOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, grad, 0)NnopbaseAddInput(*executor, sumGradR, 1)NnopbaseAddInput(*executor, sumGradC, 2)NnopbaseAddInput(*executor, sumGradRc, 3)NnopbaseAddInput(*executor, rIn, 4)NnopbaseAddInput(*executor, cIn, 5)NnopbaseAddInput(*executor, beta2, 6)NnopbaseAddInput(*executor, sumROptional, 7)NnopbaseAddInput(*executor, globalShapeOptional, 8)NnopbaseAddOutput(*executor, rOutOut, 0)NnopbaseAddOutput(*executor, cOutOut, 1)NnopbaseAddOutput(*executor, uOut, 2)NnopbaseAddOutput(*executor, sumSquareUOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnApplyCamePart2GetWorkspaceSizeaclnnApplyCamePart2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnApplyCamePart3TilingApplyCamePart3u != nullptrmIn != nullptreps != nullptrbeta1 != nullptrclipThreshold != nullptrsumSquareU != nullptrmOutOut != nullptrsumUROut != nullptrsumUCOut != nullptrsumURcOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, u, 0)NnopbaseAddInput(*executor, mIn, 1)NnopbaseAddInput(*executor, eps, 2)NnopbaseAddInput(*executor, beta1, 3)NnopbaseAddInput(*executor, clipThreshold, 4)NnopbaseAddInput(*executor, sumSquareU, 5)NnopbaseAddInput(*executor, globalShapeOptional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&useFirstMomentOptional), sizeof(bool), 0, kNnopbaseBool)NnopbaseAddOutput(*executor, mOutOut, 0)NnopbaseAddOutput(*executor, sumUROut, 1)NnopbaseAddOutput(*executor, sumUCOut, 2)NnopbaseAddOutput(*executor, sumURcOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnApplyCamePart3GetWorkspaceSizeaclnnApplyCamePart3h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnApplyCamePart4TilingApplyCamePart4paramIn != nullptrm != nullptrrIn != nullptrcIn != nullptrweightDecay != nullptrlr != nullptrbeta3 != nullptrsumUR != nullptrsumUC != nullptrsumURc != nullptrparamOutOut != nullptrrOutOut != nullptrcOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, paramIn, 0)NnopbaseAddInput(*executor, m, 1)NnopbaseAddInput(*executor, rIn, 2)NnopbaseAddInput(*executor, cIn, 3)NnopbaseAddInput(*executor, weightDecay, 4)NnopbaseAddInput(*executor, lr, 5)NnopbaseAddInput(*executor, beta3, 6)NnopbaseAddInput(*executor, sumROptional, 7)NnopbaseAddInput(*executor, sumUR, 8)NnopbaseAddInput(*executor, sumUC, 9)NnopbaseAddInput(*executor, sumURc, 10)NnopbaseAddInput(*executor, globalShapeOptional, 11)NnopbaseAddOutput(*executor, paramOutOut, 0)NnopbaseAddOutput(*executor, rOutOut, 1)NnopbaseAddOutput(*executor, cOutOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnApplyCamePart4GetWorkspaceSizeaclnnApplyCamePart4h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnApplyRotaryPosEmbTilingApplyRotaryPosEmbqueryRef != nullptrkeyRef != nullptrcos != nullptrsin != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, queryRef, 0)NnopbaseAddInput(*executor, keyRef, 1)NnopbaseAddInput(*executor, cos, 2)NnopbaseAddInput(*executor, sin, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&layoutOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, queryRef, 0)NnopbaseAddOutput(*executor, keyRef, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnApplyRotaryPosEmbGetWorkspaceSizeaclnnApplyRotaryPosEmbh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnAscendQuantV2TilingroundAscendQuantV2x != nullptrscale != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, scale, 1)NnopbaseAddInput(*executor, offsetOptional, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&sqrtModeOptional), sizeof(bool), 0, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(roundModeOptional), strlen(roundModeOptional) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(roundModeOptionalDef), strlen(roundModeOptionalDef) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&dstTypeOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnAscendQuantV2GetWorkspaceSizeaclnnAscendQuantV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnBackgroundReplaceTilingBackgroundReplacebkg != nullptrsrc != nullptrmask != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, bkg, 0)NnopbaseAddInput(*executor, src, 1)NnopbaseAddInput(*executor, mask, 2)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnBackgroundReplaceGetWorkspaceSizeaclnnBackgroundReplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnBlendImagesCustomTilingBlendImagesCustomrgb != nullptralpha != nullptrframe != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, rgb, 0)NnopbaseAddInput(*executor, alpha, 1)NnopbaseAddInput(*executor, frame, 2)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnBlendImagesCustomGetWorkspaceSizeaclnnBlendImagesCustomh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnCoalesceSparseTilingCoalesceSparseuniqueLen != nullptruniqueIndices != nullptrindices != nullptrvalues != nullptrnewIndicesOut != nullptrnewValuesOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, uniqueLen, 0)NnopbaseAddInput(*executor, uniqueIndices, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, values, 3)NnopbaseAddOutput(*executor, newIndicesOut, 0)NnopbaseAddOutput(*executor, newValuesOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnCoalesceSparseGetWorkspaceSizeaclnnCoalesceSparseh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDeepNormTilingDeepNormx != nullptrgx != nullptrbeta != nullptrgamma != nullptrmeanOut != nullptrrstdOut != nullptryOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, gx, 1)NnopbaseAddInput(*executor, beta, 2)NnopbaseAddInput(*executor, gamma, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddOutput(*executor, meanOut, 0)NnopbaseAddOutput(*executor, rstdOut, 1)NnopbaseAddOutput(*executor, yOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnDeepNormGetWorkspaceSizeaclnnDeepNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDeepNormGradTilingDeepNormGraddy != nullptrx != nullptrgx != nullptrgamma != nullptrmean != nullptrrstd != nullptrdxOut != nullptrdgxOut != nullptrdbetaOut != nullptrdgammaOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, x, 1)NnopbaseAddInput(*executor, gx, 2)NnopbaseAddInput(*executor, gamma, 3)NnopbaseAddInput(*executor, mean, 4)NnopbaseAddInput(*executor, rstd, 5)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, dxOut, 0)NnopbaseAddOutput(*executor, dgxOut, 1)NnopbaseAddOutput(*executor, dbetaOut, 2)NnopbaseAddOutput(*executor, dgammaOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnDeepNormGradGetWorkspaceSizeaclnnDeepNormGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDiagV2TilingDiagV2x != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddAttrWithDtype(*executor, static_cast(&diagonalOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnDiagV2GetWorkspaceSizeaclnnDiagV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDuaQuantizeAddLayerNormTilingDuaQuantizeAddLayerNormx1 != nullptrx2 != nullptrgamma != nullptrbeta != nullptrbias != nullptrscales1 != nullptrscales2 != nullptry1Out != nullptry2Out != nullptrxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, beta, 3)NnopbaseAddInput(*executor, bias, 4)NnopbaseAddInput(*executor, scales1, 5)NnopbaseAddInput(*executor, scales2, 6)NnopbaseAddInput(*executor, zeroPoints1Optional, 7)NnopbaseAddInput(*executor, zeroPoints2Optional, 8)NnopbaseAddAttrWithDtype(*executor, static_cast(&dtype), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp2), sizeof(float), 2, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&additionalOutputOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddOutput(*executor, y1Out, 0)NnopbaseAddOutput(*executor, y2Out, 1)NnopbaseAddOutput(*executor, xOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnDuaQuantizeAddLayerNormGetWorkspaceSizeaclnnDuaQuantizeAddLayerNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDynamicQuantTilingDynamicQuantx != nullptryOut != nullptrscaleOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, smoothScalesOptional, 1)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, scaleOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnDynamicQuantGetWorkspaceSizeaclnnDynamicQuanth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnDynamicQuantUpdateScatterTilingDynamicQuantUpdateScattervarRef != nullptrvarScaleRef != nullptrindices != nullptrupdates != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, varRef, 0)NnopbaseAddInput(*executor, varScaleRef, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, updates, 3)NnopbaseAddInput(*executor, smoothScalesOptional, 4)reduce != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(reduce), strlen(reduce) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddOutput(*executor, varRef, 0)NnopbaseAddOutput(*executor, varScaleRef, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnDynamicQuantUpdateScatterGetWorkspaceSizeaclnnDynamicQuantUpdateScatterh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachACosInplaceTilingForeachACosInplacex != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachACosInplaceGetWorkspaceSizeaclnnForeachACosInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAbsTilingForeachAbsx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAbsGetWorkspaceSizeaclnnForeachAbsh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddListTilingForeachAddListx1 != nullptrx2 != nullptralpha != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddInput(*executor, alpha, 2)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddListGetWorkspaceSizeaclnnForeachAddListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddListInplaceTilingForeachAddListInplacex1 != nullptrx2 != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddInput(*executor, alphaOptional, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddListInplaceGetWorkspaceSizeaclnnForeachAddListInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddScalarTilingForeachAddScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddScalarGetWorkspaceSizeaclnnForeachAddScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcdivListTilingForeachAddcdivListx1 != nullptrx2 != nullptrx3 != nullptrscalars != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddDynamicInput(*executor, scalars, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcdivListGetWorkspaceSizeaclnnForeachAddcdivListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcdivScalarTilingForeachAddcdivScalarx1 != nullptrx2 != nullptrx3 != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddInput(*executor, scalar, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcdivScalarGetWorkspaceSizeaclnnForeachAddcdivScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcdivScalarListTilingForeachAddcdivScalarListx1 != nullptrx2 != nullptrx3 != nullptrscalars != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddInput(*executor, scalars, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcdivScalarListGetWorkspaceSizeaclnnForeachAddcdivScalarListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcmulListTilingForeachAddcmulListx1 != nullptrx2 != nullptrx3 != nullptrscalars != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddDynamicInput(*executor, scalars, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcmulListGetWorkspaceSizeaclnnForeachAddcmulListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcmulScalarTilingForeachAddcmulScalarx1 != nullptrx2 != nullptrx3 != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddInput(*executor, scalar, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcmulScalarGetWorkspaceSizeaclnnForeachAddcmulScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachAddcmulScalarListTilingForeachAddcmulScalarListx1 != nullptrx2 != nullptrx3 != nullptrscalars != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicInput(*executor, x3, 2)NnopbaseAddInput(*executor, scalars, 3)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachAddcmulScalarListGetWorkspaceSizeaclnnForeachAddcmulScalarListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachCosTilingForeachCosx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachCosGetWorkspaceSizeaclnnForeachCosh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachDivListTilingForeachDivListx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachDivListGetWorkspaceSizeaclnnForeachDivListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachDivListInplaceTilingForeachDivListInplacex1 != nullptrx2 != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachDivListInplaceGetWorkspaceSizeaclnnForeachDivListInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachDivScalarTilingForeachDivScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachDivScalarGetWorkspaceSizeaclnnForeachDivScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachExpTilingForeachExpx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachExpGetWorkspaceSizeaclnnForeachExph6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachLogTilingForeachLogx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachLogGetWorkspaceSizeaclnnForeachLogh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachLog10TilingForeachLog10x != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachLog10GetWorkspaceSizeaclnnForeachLog10h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachLog2TilingForeachLog2x != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachLog2GetWorkspaceSizeaclnnForeachLog2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachLogInplaceTilingForeachLogInplacex != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachLogInplaceGetWorkspaceSizeaclnnForeachLogInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMaximumListTilingForeachMaximumListx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMaximumListGetWorkspaceSizeaclnnForeachMaximumListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMaximumScalarTilingForeachMaximumScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMaximumScalarGetWorkspaceSizeaclnnForeachMaximumScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMinimumListTilingForeachMinimumListx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMinimumListGetWorkspaceSizeaclnnForeachMinimumListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMinimumScalarTilingForeachMinimumScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMinimumScalarGetWorkspaceSizeaclnnForeachMinimumScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMulListTilingForeachMulListx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMulListGetWorkspaceSizeaclnnForeachMulListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMulListInplaceTilingForeachMulListInplacex1 != nullptrx2 != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMulListInplaceGetWorkspaceSizeaclnnForeachMulListInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMulScalarTilingForeachMulScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMulScalarGetWorkspaceSizeaclnnForeachMulScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachMulScalarInplaceTilingForeachMulScalarInplacex != nullptrscalar != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachMulScalarInplaceGetWorkspaceSizeaclnnForeachMulScalarInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachNegTilingForeachNegx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachNegGetWorkspaceSizeaclnnForeachNegh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachNonFiniteCheckAndUnscaleTilingForeachNonFiniteCheckAndUnscalescaledGrads != nullptrfoundInf != nullptrinvScale != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, scaledGrads, 0)NnopbaseAddInput(*executor, foundInf, 1)NnopbaseAddInput(*executor, invScale, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachNonFiniteCheckAndUnscaleGetWorkspaceSizeaclnnForeachNonFiniteCheckAndUnscaleh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachPowListTilingForeachPowListx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachPowListGetWorkspaceSizeaclnnForeachPowListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachPowScalarTilingForeachPowScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachPowScalarGetWorkspaceSizeaclnnForeachPowScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachRoundOffNumberTilingForeachRoundOffNumberx != nullptrroundMode != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, roundMode, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachRoundOffNumberGetWorkspaceSizeaclnnForeachRoundOffNumberh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSigmoidTilingForeachSigmoidx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSigmoidGetWorkspaceSizeaclnnForeachSigmoidh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSqrtTilingForeachSqrtx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSqrtGetWorkspaceSizeaclnnForeachSqrth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSubListTilingForeachSubListx1 != nullptrx2 != nullptralpha != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddInput(*executor, alpha, 2)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSubListGetWorkspaceSizeaclnnForeachSubListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSubListInplaceTilingForeachSubListInplacex1 != nullptrx2 != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddInput(*executor, alphaOptional, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSubListInplaceGetWorkspaceSizeaclnnForeachSubListInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSubScalarTilingForeachSubScalarx != nullptrscalar != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSubScalarGetWorkspaceSizeaclnnForeachSubScalarh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachSubScalarInplaceTilingForeachSubScalarInplacex != nullptrscalar != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddInput(*executor, scalar, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachSubScalarInplaceGetWorkspaceSizeaclnnForeachSubScalarInplaceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnGeGluGradV2TilingGeGluGradV2dy != nullptrx != nullptrgelu != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, x, 1)NnopbaseAddInput(*executor, gelu, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&dimOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&approximateOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&activateLeftOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnGeGluGradV2GetWorkspaceSizeaclnnGeGluGradV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnGeGluV2TilingGeGluV2x != nullptryOut != nullptrgeluOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddAttrWithDtype(*executor, static_cast(&dimOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&approximateOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&activateLeftOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, geluOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnGeGluV2GetWorkspaceSizeaclnnGeGluV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnGridSampleTilingGridSamplex != nullptrgrid != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, grid, 1)interpolationMode != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(interpolationMode), strlen(interpolationMode) + 1, 0, kNnopbaseString)paddingMode != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(paddingMode), strlen(paddingMode) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&alignCorners), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&channelLast), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnGridSampleGetWorkspaceSizeaclnnGridSampleh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInplaceAddLayerNormTilingInplaceAddLayerNormx1Ref != nullptrx2Ref != nullptrgamma != nullptrbeta != nullptrmeanOut != nullptrrstdOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1Ref, 0)NnopbaseAddInput(*executor, x2Ref, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, beta, 3)NnopbaseAddInput(*executor, biasOptional, 4)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&additionalOutputOptional), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddOutput(*executor, x1Ref, 0)NnopbaseAddOutput(*executor, meanOut, 1)NnopbaseAddOutput(*executor, rstdOut, 2)NnopbaseAddOutput(*executor, x2Ref, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInplaceAddLayerNormGetWorkspaceSizeaclnnInplaceAddLayerNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInplaceAddRmsNormTilingInplaceAddRmsNormx1Ref != nullptrx2Ref != nullptrgamma != nullptrrstdOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1Ref, 0)NnopbaseAddInput(*executor, x2Ref, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, x1Ref, 0)NnopbaseAddOutput(*executor, rstdOut, 1)NnopbaseAddOutput(*executor, x2Ref, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInplaceAddRmsNormGetWorkspaceSizeaclnnInplaceAddRmsNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnLayerNormGradV3TilingLayerNormGradV3dy != nullptrx != nullptrrstd != nullptrmean != nullptrgamma != nullptrpdXOut != nullptrpdGammaOut != nullptrpdBetaOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, x, 1)NnopbaseAddInput(*executor, rstd, 2)NnopbaseAddInput(*executor, mean, 3)NnopbaseAddInput(*executor, gamma, 4)NnopbaseAddOutput(*executor, pdXOut, 0)NnopbaseAddOutput(*executor, pdGammaOut, 1)NnopbaseAddOutput(*executor, pdBetaOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnLayerNormGradV3GetWorkspaceSizeaclnnLayerNormGradV3h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnLayerNormV4TilingLayerNormV4x != nullptrnormalizedShape != nullptryOut != nullptrmeanOut != nullptrrstdOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, normalizedShape, 1)NnopbaseAddInput(*executor, gammaOptional, 2)NnopbaseAddInput(*executor, betaOptional, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, meanOut, 1)NnopbaseAddOutput(*executor, rstdOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnLayerNormV4GetWorkspaceSizeaclnnLayerNormV4h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMaskedSoftmaxWithRelPosBiasTilingMaskedSoftmaxWithRelPosBiasx != nullptrrelativePosBias != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, attenMaskOptional, 1)NnopbaseAddInput(*executor, relativePosBias, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&innerPrecisionModeOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnMaskedSoftmaxWithRelPosBiasGetWorkspaceSizeaclnnMaskedSoftmaxWithRelPosBiash6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMatMulV3TilingMatMulV3x1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, offsetWOptional, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeX1), sizeof(bool), 0, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeX2), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&offsetXOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMatMulV3GetWorkspaceSizeaclnnMatMulV3h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMatmulLayerNormReduceTilingMatmulLayerNormReducex1 != nullptrweight != nullptrbias != nullptrx2Ref != nullptrsumOut != nullptrsquareSumOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, weight, 1)NnopbaseAddInput(*executor, bias, 2)NnopbaseAddInput(*executor, x2Ref, 3)NnopbaseAddInput(*executor, x3Optional, 4)NnopbaseAddOutput(*executor, x2Ref, 0)NnopbaseAddOutput(*executor, sumOut, 1)NnopbaseAddOutput(*executor, squareSumOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMatmulLayerNormReduceGetWorkspaceSizeaclnnMatmulLayerNormReduceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeComputeExpertTokensTilingMoeComputeExpertTokenssortedExperts != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, sortedExperts, 0)NnopbaseAddAttrWithDtype(*executor, static_cast(&numExperts), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeComputeExpertTokensGetWorkspaceSizeaclnnMoeComputeExpertTokensh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeFinalizeRoutingTilingMoeFinalizeRoutingexpandedX != nullptrx1 != nullptrbias != nullptrscales != nullptrexpandedRowIdx != nullptrexpandedExpertIdx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, expandedX, 0)NnopbaseAddInput(*executor, x1, 1)NnopbaseAddInput(*executor, x2Optional, 2)NnopbaseAddInput(*executor, bias, 3)NnopbaseAddInput(*executor, scales, 4)NnopbaseAddInput(*executor, expandedRowIdx, 5)NnopbaseAddInput(*executor, expandedExpertIdx, 6)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeFinalizeRoutingGetWorkspaceSizeaclnnMoeFinalizeRoutingh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeGatingTopKSoftmaxTilingMoeGatingTopKSoftmaxx != nullptryOut != nullptrexpertIdxOut != nullptrrowIdxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, finishedOptional, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&k), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, expertIdxOut, 1)NnopbaseAddOutput(*executor, rowIdxOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeGatingTopKSoftmaxGetWorkspaceSizeaclnnMoeGatingTopKSoftmaxh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeInitRoutingTilingMoeInitRoutingx != nullptrrowIdx != nullptrexpertIdx != nullptrexpandedXOut != nullptrexpandedRowIdxOut != nullptrexpandedExpertIdxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, rowIdx, 1)NnopbaseAddInput(*executor, expertIdx, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&activeNum), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, expandedXOut, 0)NnopbaseAddOutput(*executor, expandedRowIdxOut, 1)NnopbaseAddOutput(*executor, expandedExpertIdxOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeInitRoutingGetWorkspaceSizeaclnnMoeInitRoutingh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeInitRoutingQuantTilingMoeInitRoutingQuantx != nullptrrowIdx != nullptrexpertIdx != nullptrexpandedXOut != nullptrexpandedRowIdxOut != nullptrexpandedExpertIdxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, rowIdx, 1)NnopbaseAddInput(*executor, expertIdx, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&activeNum), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp2), sizeof(float), 2, kNnopbaseFloat)NnopbaseAddOutput(*executor, expandedXOut, 0)NnopbaseAddOutput(*executor, expandedRowIdxOut, 1)NnopbaseAddOutput(*executor, expandedExpertIdxOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeInitRoutingQuantGetWorkspaceSizeaclnnMoeInitRoutingQuanth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeTutelCombineGatesTilingMoeTutelCombineGatesx != nullptryGrad != nullptrindices != nullptrlocations != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, yGrad, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, locations, 3)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeTutelCombineGatesGetWorkspaceSizeaclnnMoeTutelCombineGatesh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeTutelCombineXTilingMoeTutelCombineXyGrad != nullptrgates != nullptrindices != nullptrlocations != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, yGrad, 0)NnopbaseAddInput(*executor, gates, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, locations, 3)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeTutelCombineXGetWorkspaceSizeaclnnMoeTutelCombineXh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMoeTutelDispatchTilingMoeTutelDispatchx != nullptrgates != nullptrindices != nullptrlocations != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, gates, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, locations, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&capacity), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMoeTutelDispatchGetWorkspaceSizeaclnnMoeTutelDispatchh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMrgbaCustomTilingMrgbaCustomrgb != nullptralpha != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, rgb, 0)NnopbaseAddInput(*executor, alpha, 1)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMrgbaCustomGetWorkspaceSizeaclnnMrgbaCustomh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMultiHeadAttentionScoreTilingMultiHeadAttentionScorequery != nullptrkey != nullptrvalue != nullptrsoftmaxOutOut != nullptrattentionOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddInput(*executor, key, 1)NnopbaseAddInput(*executor, value, 2)NnopbaseAddInput(*executor, realShiftOptional, 3)NnopbaseAddInput(*executor, dropMaskOptional, 4)NnopbaseAddInput(*executor, paddingMaskOptional, 5)NnopbaseAddInput(*executor, attenMaskOptional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&preTockensOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&nextTockensOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&headNum), sizeof(int64_t), 4, kNnopbaseInt)inputLayout != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(inputLayout), strlen(inputLayout) + 1, 5, kNnopbaseString)NnopbaseAddOutput(*executor, softmaxOutOut, 0)NnopbaseAddOutput(*executor, attentionOutOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMultiHeadAttentionScoreGetWorkspaceSizeaclnnMultiHeadAttentionScoreh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnMultiHeadAttentionScoreGradTilingMultiHeadAttentionScoreGradquery != nullptrkey != nullptrvalue != nullptrdy != nullptrdqOut != nullptrdkOut != nullptrdvOut != nullptrdpseOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddInput(*executor, key, 1)NnopbaseAddInput(*executor, value, 2)NnopbaseAddInput(*executor, dy, 3)NnopbaseAddInput(*executor, pseShiftOptional, 4)NnopbaseAddInput(*executor, dropMaskOptional, 5)NnopbaseAddInput(*executor, paddingMaskOptional, 6)NnopbaseAddInput(*executor, attenMaskOptional, 7)NnopbaseAddInput(*executor, softmaxInOptional, 8)NnopbaseAddInput(*executor, attentionInOptional, 9)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&preTockensOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&nextTockensOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&headNum), sizeof(int64_t), 4, kNnopbaseInt)inputLayout != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(inputLayout), strlen(inputLayout) + 1, 5, kNnopbaseString)NnopbaseAddOutput(*executor, dqOut, 0)NnopbaseAddOutput(*executor, dkOut, 1)NnopbaseAddOutput(*executor, dvOut, 2)NnopbaseAddOutput(*executor, dpseOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnMultiHeadAttentionScoreGradGetWorkspaceSizeaclnnMultiHeadAttentionScoreGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnNonFiniteCheckTilingNonFiniteChecktensorList != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, tensorList, 0)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnNonFiniteCheckGetWorkspaceSizeaclnnNonFiniteCheckh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnPowsTilingPowsx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnPowsGetWorkspaceSizeaclnnPowsh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnQuantBatchMatmulV3TilingQuantBatchMatmulV3x1 != nullptrx2 != nullptrscale != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddIgnoreContinuesInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, scale, 2)NnopbaseAddInput(*executor, offsetOptional, 3)NnopbaseAddInput(*executor, biasOptional, 4)NnopbaseAddInput(*executor, pertokenScaleOptional, 5)NnopbaseAddAttrWithDtype(*executor, static_cast(&dtype), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeX1Optional), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeX2Optional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnQuantBatchMatmulV3GetWorkspaceSizeaclnnQuantBatchMatmulV3h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnQuantizeAddLayerNormTilingQuantizeAddLayerNormx1 != nullptrx2 != nullptrgamma != nullptrbeta != nullptrbias != nullptrscales != nullptryOut != nullptrxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, gamma, 2)NnopbaseAddInput(*executor, beta, 3)NnopbaseAddInput(*executor, bias, 4)NnopbaseAddInput(*executor, scales, 5)NnopbaseAddInput(*executor, zeroPointsOptional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&dtype), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp2), sizeof(float), 2, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&additionalOutputOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, xOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnQuantizeAddLayerNormGetWorkspaceSizeaclnnQuantizeAddLayerNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRepeatInterleaveGradTilingRepeatInterleaveGradyGrad != nullptrrepeats != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, yGrad, 0)NnopbaseAddInput(*executor, repeats, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnRepeatInterleaveGradGetWorkspaceSizeaclnnRepeatInterleaveGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRfft1DTilingRfft1Dx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, dftOptional, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&nOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&normOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnRfft1DGetWorkspaceSizeaclnnRfft1Dh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRmsNormTilingRmsNormx != nullptrgamma != nullptryOut != nullptrrstdOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, gamma, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, rstdOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnRmsNormGetWorkspaceSizeaclnnRmsNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRmsNormGradTilingRmsNormGraddy != nullptrx != nullptrrstd != nullptrgamma != nullptrdxOut != nullptrdgammaOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, x, 1)NnopbaseAddInput(*executor, rstd, 2)NnopbaseAddInput(*executor, gamma, 3)NnopbaseAddOutput(*executor, dxOut, 0)NnopbaseAddOutput(*executor, dgammaOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnRmsNormGradGetWorkspaceSizeaclnnRmsNormGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRopeQuantKvcacheTilingRopeQuantKvcacheqkv != nullptrcos != nullptrsin != nullptrquantScale != nullptrquantOffset != nullptrkCacheRef != nullptrvCacheRef != nullptrindice != nullptrqOut != nullptrkOut != nullptrvOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, qkv, 0)NnopbaseAddInput(*executor, cos, 1)NnopbaseAddInput(*executor, sin, 2)NnopbaseAddInput(*executor, quantScale, 3)NnopbaseAddInput(*executor, quantOffset, 4)NnopbaseAddInput(*executor, kCacheRef, 5)NnopbaseAddInput(*executor, vCacheRef, 6)NnopbaseAddInput(*executor, indice, 7)sizeSplits != nullptrNnopbaseAddIntArrayAttr(*executor, sizeSplits, 0)layout != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(layout), strlen(layout) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&kvOutput), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddOutput(*executor, qOut, 0)NnopbaseAddOutput(*executor, kOut, 1)NnopbaseAddOutput(*executor, vOut, 2)NnopbaseAddOutput(*executor, kCacheRef, 3)NnopbaseAddOutput(*executor, vCacheRef, 4)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnRopeQuantKvcacheGetWorkspaceSizeaclnnRopeQuantKvcacheh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRotaryPositionEmbeddingTilingRotaryPositionEmbeddingx != nullptrcos != nullptrsin != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, cos, 1)NnopbaseAddInput(*executor, sin, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&modeOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnRotaryPositionEmbeddingGetWorkspaceSizeaclnnRotaryPositionEmbeddingh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnRotaryPositionEmbeddingGradTilingRotaryPositionEmbeddingGraddy != nullptrcos != nullptrsin != nullptrdxOut != nullptrdcosOut != nullptrdsinOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, dy, 0)NnopbaseAddInput(*executor, cos, 1)NnopbaseAddInput(*executor, sin, 2)NnopbaseAddInput(*executor, xOptional, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&modeOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, dxOut, 0)NnopbaseAddOutput(*executor, dcosOut, 1)NnopbaseAddOutput(*executor, dsinOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnRotaryPositionEmbeddingGradGetWorkspaceSizeaclnnRotaryPositionEmbeddingGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnScatterListTilingupdateScatterListvarRef != nullptrindice != nullptrupdates != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, varRef, 0)NnopbaseAddInput(*executor, indice, 1)NnopbaseAddInput(*executor, updates, 2)NnopbaseAddInput(*executor, maskOptional, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOptional), strlen(reduceOptional) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOptionalDef), strlen(reduceOptionalDef) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&axisOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddDynamicOutput(*executor, varRef, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnScatterListGetWorkspaceSizeaclnnScatterListh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnStackBallQueryTilingStackBallQueryxyz != nullptrcenterXyz != nullptrxyzBatchCnt != nullptrcenterXyzBatchCnt != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, xyz, 0)NnopbaseAddInput(*executor, centerXyz, 1)NnopbaseAddInput(*executor, xyzBatchCnt, 2)NnopbaseAddInput(*executor, centerXyzBatchCnt, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&sampleNum), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnStackBallQueryGetWorkspaceSizeaclnnStackBallQueryh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnStackGroupPointsTilingStackGroupPointsfeatures != nullptrfeaturesBatchCnt != nullptrindices != nullptrindicesBatchCnt != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, features, 0)NnopbaseAddInput(*executor, featuresBatchCnt, 1)NnopbaseAddInput(*executor, indices, 2)NnopbaseAddInput(*executor, indicesBatchCnt, 3)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnStackGroupPointsGetWorkspaceSizeaclnnStackGroupPointsh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSTFTTilingSTFTx != nullptrplan != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, plan, 1)NnopbaseAddInput(*executor, windowOptional, 2)NnopbaseAddAttrWithDtype(*executor, static_cast(&hopLengthOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&winLengthOptional), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&normalizedOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&onesidedOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&returnComplexOptional), sizeof(bool), 4, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&nFft), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSTFTGetWorkspaceSizeaclnnSTFTh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSwiGluTilingSwiGlux != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddAttrWithDtype(*executor, static_cast(&dimOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSwiGluGetWorkspaceSizeaclnnSwiGluh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSwiGluGradTilingSwiGluGradyGrad != nullptrx != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, yGrad, 0)NnopbaseAddInput(*executor, x, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&dimOptional), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSwiGluGradGetWorkspaceSizeaclnnSwiGluGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSwinAttentionFFNTilingSwinAttentionFFNx1 != nullptrx2 != nullptrbias != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddInput(*executor, x2, 1)NnopbaseAddInput(*executor, bias, 2)NnopbaseAddInput(*executor, x3Optional, 3)shifts != nullptrNnopbaseAddIntArrayAttr(*executor, shifts, 0)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSwinAttentionFFNGetWorkspaceSizeaclnnSwinAttentionFFNh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSwinAttentionScoreTilingSwinAttentionScorequery != nullptrkey != nullptrvalue != nullptrscale != nullptrattentionScoreOut != nullptrsoftmaxOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddInput(*executor, key, 1)NnopbaseAddInput(*executor, value, 2)NnopbaseAddInput(*executor, paddingMask1Optional, 3)NnopbaseAddInput(*executor, paddingMask2Optional, 4)NnopbaseAddInput(*executor, scale, 5)NnopbaseAddInput(*executor, dropMaskOptional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&queryTranspose), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&keyTranspose), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&bmmScoreTransposeA), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&bmmScoreTransposeB), sizeof(bool), 4, kNnopbaseBool)softmaxAxes != nullptrNnopbaseAddIntArrayAttr(*executor, softmaxAxes, 5)NnopbaseAddOutput(*executor, attentionScoreOut, 0)NnopbaseAddOutput(*executor, softmaxOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSwinAttentionScoreGetWorkspaceSizeaclnnSwinAttentionScoreh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnSwinTransformerLnQKVTilingSwinTransformerLnQKVx != nullptrgamma != nullptrbeta != nullptrweight != nullptrbias != nullptrqueryOutputOut != nullptrkeyOutputOut != nullptrvalueOutputOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, gamma, 1)NnopbaseAddInput(*executor, beta, 2)NnopbaseAddInput(*executor, weight, 3)NnopbaseAddInput(*executor, bias, 4)NnopbaseAddAttrWithDtype(*executor, static_cast(&headNum), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&headDim), sizeof(int64_t), 1, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&seqLength), sizeof(int64_t), 2, kNnopbaseInt)shifts != nullptrNnopbaseAddIntArrayAttr(*executor, shifts, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp4), sizeof(float), 4, kNnopbaseFloat)NnopbaseAddOutput(*executor, queryOutputOut, 0)NnopbaseAddOutput(*executor, keyOutputOut, 1)NnopbaseAddOutput(*executor, valueOutputOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnSwinTransformerLnQKVGetWorkspaceSizeaclnnSwinTransformerLnQKVh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnTomeMergeTilingTomeMergetokenA != nullptrtokenB != nullptrtopkIndice != nullptrargMax != nullptrunmergeTokenAOut != nullptrunreduceTokenBOut != nullptrunreduceCountOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, tokenA, 0)NnopbaseAddInput(*executor, tokenB, 1)NnopbaseAddInput(*executor, topkIndice, 2)NnopbaseAddInput(*executor, argMax, 3)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, unmergeTokenAOut, 0)NnopbaseAddOutput(*executor, unreduceTokenBOut, 1)NnopbaseAddOutput(*executor, unreduceCountOut, 2)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnTomeMergeGetWorkspaceSizeaclnnTomeMergeh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnTomeUnmergeTilingTomeUnmergeattention != nullptroriIndexA != nullptroriIndexB != nullptrtopkIndice != nullptrargMax != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, attention, 0)NnopbaseAddInput(*executor, oriIndexA, 1)NnopbaseAddInput(*executor, oriIndexB, 2)NnopbaseAddInput(*executor, topkIndice, 3)NnopbaseAddInput(*executor, argMax, 4)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnTomeUnmergeGetWorkspaceSizeaclnnTomeUnmergeh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnForeachBinaryOpTilingForeachBinaryOpx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x1, 0)NnopbaseAddDynamicInput(*executor, x2, 1)NnopbaseAddAttrWithDtype(*executor, static_cast(&opCode), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnForeachBinaryOpGetWorkspaceSizeaclnnForeachBinaryOph6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerAllGatherMatmulTilingAllGatherMatmulx1 != nullptrx2 != nullptryOut != nullptrgatherOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, contextOptional, 3)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransAOptional), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransBOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&gatherIndexOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&rankSizeOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&isGatherOutOptional), sizeof(bool), 6, kNnopbaseBool)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, gatherOutOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerAllGatherMatmulGetWorkspaceSizeaclnnInnerAllGatherMatmulh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerFlashAttentionScoreTilingFlashAttentionScorequery != nullptrkey != nullptrvalue != nullptrsoftmaxMaxOut != nullptrsoftmaxSumOut != nullptrsoftmaxOutOut != nullptrattentionOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddInput(*executor, key, 1)NnopbaseAddInput(*executor, value, 2)NnopbaseAddInput(*executor, realShiftOptional, 3)NnopbaseAddInput(*executor, dropMaskOptional, 4)NnopbaseAddInput(*executor, paddingMaskOptional, 5)NnopbaseAddInput(*executor, attenMaskOptional, 6)NnopbaseAddIntArrayInput(*executor, prefixOptional, 7)NnopbaseAddIntArrayInput(*executor, actualSeqQlenOptional, 8)NnopbaseAddIntArrayInput(*executor, actualSeqKvlenOptional, 9)NnopbaseAddIntArrayInput(*executor, qStartIdxOptional, 10)NnopbaseAddIntArrayInput(*executor, kvStartIdxOptional, 11)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&preTockensOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&nextTockensOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&headNum), sizeof(int64_t), 4, kNnopbaseInt)inputLayout != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(inputLayout), strlen(inputLayout) + 1, 5, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&innerPreciseOptional), sizeof(int64_t), 6, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&sparseModeOptional), sizeof(int64_t), 7, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&pseTypeOptional), sizeof(int64_t), 8, kNnopbaseInt)NnopbaseAddOutput(*executor, softmaxMaxOut, 0)NnopbaseAddOutput(*executor, softmaxSumOut, 1)NnopbaseAddOutput(*executor, softmaxOutOut, 2)NnopbaseAddOutput(*executor, attentionOutOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInnerFlashAttentionScoreGetWorkspaceSizeaclnnInnerFlashAttentionScoreh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerFlashAttentionScoreGradTilingFlashAttentionScoreGradquery != nullptrkey != nullptrvalue != nullptrdy != nullptrdqOut != nullptrdkOut != nullptrdvOut != nullptrdpseOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddInput(*executor, key, 1)NnopbaseAddInput(*executor, value, 2)NnopbaseAddInput(*executor, dy, 3)NnopbaseAddInput(*executor, pseShiftOptional, 4)NnopbaseAddInput(*executor, dropMaskOptional, 5)NnopbaseAddInput(*executor, paddingMaskOptional, 6)NnopbaseAddInput(*executor, attenMaskOptional, 7)NnopbaseAddInput(*executor, softmaxMaxOptional, 8)NnopbaseAddInput(*executor, softmaxSumOptional, 9)NnopbaseAddInput(*executor, softmaxInOptional, 10)NnopbaseAddInput(*executor, attentionInOptional, 11)NnopbaseAddIntArrayInput(*executor, prefixOptional, 12)NnopbaseAddIntArrayInput(*executor, actualSeqQlenOptional, 13)NnopbaseAddIntArrayInput(*executor, actualSeqKvlenOptional, 14)NnopbaseAddIntArrayInput(*executor, qStartIdxOptional, 15)NnopbaseAddIntArrayInput(*executor, kvStartIdxOptional, 16)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp0), sizeof(float), 0, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&preTockensOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&nextTockensOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&headNum), sizeof(int64_t), 4, kNnopbaseInt)inputLayout != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(inputLayout), strlen(inputLayout) + 1, 5, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&innerPreciseOptional), sizeof(int64_t), 6, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&sparseModeOptional), sizeof(int64_t), 7, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&pseTypeOptional), sizeof(int64_t), 8, kNnopbaseInt)NnopbaseAddOutput(*executor, dqOut, 0)NnopbaseAddOutput(*executor, dkOut, 1)NnopbaseAddOutput(*executor, dvOut, 2)NnopbaseAddOutput(*executor, dpseOut, 3)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInnerFlashAttentionScoreGradGetWorkspaceSizeaclnnInnerFlashAttentionScoreGradh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerFusedInferAttentionScoreTilingBSHFusedInferAttentionScorequery != nullptrkey != nullptrvalue != nullptrattentionOutOut != nullptrsoftmaxLseOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddDynamicInput(*executor, key, 1)NnopbaseAddDynamicInput(*executor, value, 2)NnopbaseAddInput(*executor, pseShiftOptional, 3)NnopbaseAddInput(*executor, attenMaskOptional, 4)NnopbaseAddIntArrayInput(*executor, actualSeqLengthsOptional, 5)NnopbaseAddIntArrayInput(*executor, actualSeqLengthsKvOptional, 6)NnopbaseAddInput(*executor, dequantScale1Optional, 7)NnopbaseAddInput(*executor, quantScale1Optional, 8)NnopbaseAddInput(*executor, dequantScale2Optional, 9)NnopbaseAddInput(*executor, quantScale2Optional, 10)NnopbaseAddInput(*executor, quantOffset2Optional, 11)NnopbaseAddInput(*executor, antiquantScaleOptional, 12)NnopbaseAddInput(*executor, antiquantOffsetOptional, 13)NnopbaseAddInput(*executor, blockTableOptional, 14)NnopbaseAddInput(*executor, queryPaddingSizeOptional, 15)NnopbaseAddInput(*executor, kvPaddingSizeOptional, 16)NnopbaseAddAttrWithDtype(*executor, static_cast(&numHeads), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(&preTokensOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&nextTokensOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(inputLayoutOptional), strlen(inputLayoutOptional) + 1, 4, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(inputLayoutOptionalDef), strlen(inputLayoutOptionalDef) + 1, 4, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&numKeyValueHeadsOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&sparseModeOptional), sizeof(int64_t), 6, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&innerPreciseOptional), sizeof(int64_t), 7, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&blockSizeOptional), sizeof(int64_t), 8, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&antiquantModeOptional), sizeof(int64_t), 9, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&softmaxLseFlagOptional), sizeof(bool), 10, kNnopbaseBool)NnopbaseAddOutput(*executor, attentionOutOut, 0)NnopbaseAddOutput(*executor, softmaxLseOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInnerFusedInferAttentionScoreGetWorkspaceSizeaclnnInnerFusedInferAttentionScoreh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerGeluQuantTilingGeluQuantx != nullptryOut != nullptroutScaleOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, inputScaleOptional, 1)NnopbaseAddInput(*executor, inputOffsetOptional, 2)approximate != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(approximate), strlen(approximate) + 1, 0, kNnopbaseString)quantMode != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(quantMode), strlen(quantMode) + 1, 1, kNnopbaseString)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, outScaleOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerGeluQuantGetWorkspaceSizeaclnnInnerGeluQuanth6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerGroupedMatMulAllReduceTilingsumGroupedMatMulAllReducex != nullptrweight != nullptrbias != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddDynamicInput(*executor, x, 0)NnopbaseAddDynamicInput(*executor, weight, 1)NnopbaseAddDynamicInput(*executor, bias, 2)NnopbaseAddIntArrayInput(*executor, groupListOptional, 3)NnopbaseAddInput(*executor, contextOptional, 4)NnopbaseAddAttrWithDtype(*executor, static_cast(&splitItemOptional), sizeof(int64_t), 0, kNnopbaseInt)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptional), strlen(reduceOpOptional) + 1, 2, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptionalDef), strlen(reduceOpOptionalDef) + 1, 2, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddDynamicOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerGroupedMatMulAllReduceGetWorkspaceSizeaclnnInnerGroupedMatMulAllReduceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerIncreFlashAttentionTilingBSHIncreFlashAttentionquery != nullptrkey != nullptrvalue != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, query, 0)NnopbaseAddDynamicInput(*executor, key, 1)NnopbaseAddDynamicInput(*executor, value, 2)NnopbaseAddInput(*executor, pseShiftOptional, 3)NnopbaseAddInput(*executor, attenMaskOptional, 4)NnopbaseAddIntArrayInput(*executor, actualSeqLengthsOptional, 5)NnopbaseAddInput(*executor, dequantScale1Optional, 6)NnopbaseAddInput(*executor, quantScale1Optional, 7)NnopbaseAddInput(*executor, dequantScale2Optional, 8)NnopbaseAddInput(*executor, quantScale2Optional, 9)NnopbaseAddInput(*executor, quantOffset2Optional, 10)NnopbaseAddInput(*executor, antiquantScaleOptional, 11)NnopbaseAddInput(*executor, antiquantOffsetOptional, 12)NnopbaseAddInput(*executor, blockTableOptional, 13)NnopbaseAddInput(*executor, kvPaddingSizeOptional, 14)NnopbaseAddAttrWithDtype(*executor, static_cast(&numHeads), sizeof(int64_t), 0, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp1), sizeof(float), 1, kNnopbaseFloat)NnopbaseAddAttrWithDtype(*executor, static_cast(inputLayoutOptional), strlen(inputLayoutOptional) + 1, 2, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(inputLayoutOptionalDef), strlen(inputLayoutOptionalDef) + 1, 2, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&numKeyValueHeadsOptional), sizeof(int64_t), 3, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&blockSizeOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&innerPreciseOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnContiguousGetWorkspaceSize(inUnContTensors, &inContWorkspaceSize, &aclInExecutor)aclnnContiguous(inWorkspace, inContWorkspaceSize, aclInExecutor, stream)aclnnInnerIncreFlashAttentionGetWorkspaceSizeaclnnInnerIncreFlashAttentionh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerInplaceMatmulAllReduceAddRmsNormTilingsumInplaceMatmulAllReduceAddRmsNormx1 != nullptrx2 != nullptrresidualRef != nullptrgamma != nullptrnormOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, residualRef, 3)NnopbaseAddInput(*executor, gamma, 4)NnopbaseAddInput(*executor, antiquantScaleOptional, 5)NnopbaseAddInput(*executor, antiquantOffsetOptional, 6)NnopbaseAddInput(*executor, dequantScaleOptional, 7)NnopbaseAddInput(*executor, contextOptional, 8)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptional), strlen(reduceOpOptional) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptionalDef), strlen(reduceOpOptionalDef) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransAOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransBOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&antiquantGroupSizeOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp6), sizeof(float), 6, kNnopbaseFloat)NnopbaseAddOutput(*executor, residualRef, 0)NnopbaseAddOutput(*executor, normOutOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerInplaceMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnInnerInplaceMatmulAllReduceAddRmsNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerMatmulAllReduceTilingsumMatmulAllReducex1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, x3Optional, 3)NnopbaseAddInput(*executor, antiquantScaleOptional, 4)NnopbaseAddInput(*executor, antiquantOffsetOptional, 5)NnopbaseAddInput(*executor, dequantScaleOptional, 6)NnopbaseAddInput(*executor, contextOptional, 7)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptional), strlen(reduceOpOptional) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptionalDef), strlen(reduceOpOptionalDef) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransAOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransBOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&antiquantGroupSizeOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerMatmulAllReduceGetWorkspaceSizeaclnnInnerMatmulAllReduceh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerMatmulAllReduceAddRmsNormTilingsumMatmulAllReduceAddRmsNormx1 != nullptrx2 != nullptrresidual != nullptrgamma != nullptryOut != nullptrnormOutOut != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, residual, 3)NnopbaseAddInput(*executor, gamma, 4)NnopbaseAddInput(*executor, antiquantScaleOptional, 5)NnopbaseAddInput(*executor, antiquantOffsetOptional, 6)NnopbaseAddInput(*executor, dequantScaleOptional, 7)NnopbaseAddInput(*executor, contextOptional, 8)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 0, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptional), strlen(reduceOpOptional) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(reduceOpOptionalDef), strlen(reduceOpOptionalDef) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransAOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransBOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&antiquantGroupSizeOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&tmp6), sizeof(float), 6, kNnopbaseFloat)NnopbaseAddOutput(*executor, yOut, 0)NnopbaseAddOutput(*executor, normOutOut, 1)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerMatmulAllReduceAddRmsNormGetWorkspaceSizeaclnnInnerMatmulAllReduceAddRmsNormh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerMatmulReduceScatterTilingMatmulReduceScatterx1 != nullptrx2 != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x1, 0)NnopbaseAddIgnoreContinuesInput(*executor, x2, 1)NnopbaseAddInput(*executor, biasOptional, 2)NnopbaseAddInput(*executor, contextOptional, 3)group != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(group), strlen(group) + 1, 0, kNnopbaseString)reduceOp != nullptrNnopbaseAddAttrWithDtype(*executor, static_cast(reduceOp), strlen(reduceOp) + 1, 1, kNnopbaseString)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransAOptional), sizeof(bool), 2, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&isTransBOptional), sizeof(bool), 3, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&commTurnOptional), sizeof(int64_t), 4, kNnopbaseInt)NnopbaseAddAttrWithDtype(*executor, static_cast(&rankSizeOptional), sizeof(int64_t), 5, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerMatmulReduceScatterGetWorkspaceSizeaclnnInnerMatmulReduceScatterh6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerTransQuantParamV2TilingTransQuantParamV2scale != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, scale, 0)NnopbaseAddInput(*executor, offsetOptional, 1)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerTransQuantParamV2GetWorkspaceSizeaclnnInnerTransQuantParamV2h6i6j6k6n6o6p6q6s6t6u6v6w6x6y6z6{6|6}6~6  PPPPPPPPPP†ÆĆņƆdžȆɆʆˆ̆͆NBOBPBQBRBSBTB@ A B C D E F G  !"#$%aclnnInnerWeightQuantBatchMatmulV2TilingWeightQuantBatchMatmulV2x != nullptrweight != nullptrantiquantScale != nullptrout != nullptrNnopbaseCreateExecutorSpace(&executorSpace)nnopExecutor != nullptrexecutor != nullptrNnopbaseAddTilingId(*executor, &tilingId)NnopbaseAddInput(*executor, x, 0)NnopbaseAddInput(*executor, weight, 1)NnopbaseAddInput(*executor, antiquantScale, 2)NnopbaseAddInput(*executor, antiquantOffsetOptional, 3)NnopbaseAddInput(*executor, quantScaleOptional, 4)NnopbaseAddInput(*executor, quantOffsetOptional, 5)NnopbaseAddInput(*executor, biasOptional, 6)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeXOptional), sizeof(bool), 0, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&transposeWeightOptional), sizeof(bool), 1, kNnopbaseBool)NnopbaseAddAttrWithDtype(*executor, static_cast(&antiquantGroupSizeOptional), sizeof(int64_t), 2, kNnopbaseInt)NnopbaseAddOutput(*executor, out, 0)NnopbaseAddSupportList(*executor, &supportList, socSupportList, socSupportListLen)aclnnInnerWeightQuantBatchMatmulV2GetWorkspaceSizeaclnnInnerWeightQuantBatchMatmulV2std::bad_array_new_lengthSt20bad_array_new_length;8"d2Tt|ԭ7 H8ijxxή$̊2,dȯB(s,,^°$&,X t TRTD$F,S{Lt~hD0\:l 4f!`)XLe.i`dnzHаDvL` >pd!8#j$.DPXtHt|tJ|D`$V  0db5>jj*|~\4h(*y*,l`,,ĩ,D,\/Ľ//8/$0 V0001Db11T 1 1<*2\#\2\7272|I2 N$3[V3s3u3~3\J4F<x<P<d<= ">T>>(>(>+?1N?t4?7?@?(e@HrH@z@D@D@lABA̮tApBEtItMDQ!U#X&\(`)Td,,$h.kL0o@2s$4dwX54{7H98;Ć=0?d@4@BCԙ0EGtLJD LO4RT?$ ABĮlD FdH4I KLMtDODP RVhXYT \$x^`abcde44ghiLkl 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