Supported ONNX operators#

OnnxAbs	OnnxGRU_7	OnnxRandomUniformLike
OnnxAbs_1	OnnxGather	OnnxRandomUniformLike_1
OnnxAbs_13	OnnxGatherElements	OnnxRandomUniform_1
OnnxAbs_6	OnnxGatherElements_11	OnnxRange
OnnxAcos	OnnxGatherElements_13	OnnxRange_11
OnnxAcos_7	OnnxGatherND	OnnxReciprocal
OnnxAcosh	OnnxGatherND_11	OnnxReciprocal_1
OnnxAcosh_9	OnnxGatherND_12	OnnxReciprocal_13
OnnxAdd	OnnxGatherND_13	OnnxReciprocal_6
OnnxAdd_1	OnnxGather_1	OnnxReduceL1
OnnxAdd_13	OnnxGather_11	OnnxReduceL1_1
OnnxAdd_14	OnnxGather_13	OnnxReduceL1_11
OnnxAdd_6	OnnxGemm	OnnxReduceL1_13
OnnxAdd_7	OnnxGemm_1	OnnxReduceL2
OnnxAiOnnxMlArrayFeatureExtractor	OnnxGemm_11	OnnxReduceL2_1
OnnxAiOnnxMlArrayFeatureExtractor_1	OnnxGemm_13	OnnxReduceL2_11
OnnxAiOnnxMlBinarizer	OnnxGemm_6	OnnxReduceL2_13
OnnxAiOnnxMlBinarizer_1	OnnxGemm_7	OnnxReduceLogSum
OnnxAiOnnxMlCastMap	OnnxGemm_9	OnnxReduceLogSumExp
OnnxAiOnnxMlCastMap_1	OnnxGlobalAveragePool	OnnxReduceLogSumExp_1
OnnxAiOnnxMlCategoryMapper	OnnxGlobalAveragePool_1	OnnxReduceLogSumExp_11
OnnxAiOnnxMlCategoryMapper_1	OnnxGlobalLpPool	OnnxReduceLogSumExp_13
OnnxAiOnnxMlDictVectorizer	OnnxGlobalLpPool_1	OnnxReduceLogSum_1
OnnxAiOnnxMlDictVectorizer_1	OnnxGlobalLpPool_2	OnnxReduceLogSum_11
OnnxAiOnnxMlFeatureVectorizer	OnnxGlobalMaxPool	OnnxReduceLogSum_13
OnnxAiOnnxMlFeatureVectorizer_1	OnnxGlobalMaxPool_1	OnnxReduceMax
OnnxAiOnnxMlImputer	OnnxGreater	OnnxReduceMax_1
OnnxAiOnnxMlImputer_1	OnnxGreaterOrEqual	OnnxReduceMax_11
OnnxAiOnnxMlLabelEncoder	OnnxGreaterOrEqual_12	OnnxReduceMax_12
OnnxAiOnnxMlLabelEncoder_1	OnnxGreaterOrEqual_16	OnnxReduceMax_13
OnnxAiOnnxMlLabelEncoder_2	OnnxGreater_1	OnnxReduceMean
OnnxAiOnnxMlLinearClassifier	OnnxGreater_13	OnnxReduceMean_1
OnnxAiOnnxMlLinearClassifier_1	OnnxGreater_7	OnnxReduceMean_11
OnnxAiOnnxMlLinearRegressor	OnnxGreater_9	OnnxReduceMean_13
OnnxAiOnnxMlLinearRegressor_1	OnnxGridSample	OnnxReduceMin
OnnxAiOnnxMlNormalizer	OnnxGridSample_16	OnnxReduceMin_1
OnnxAiOnnxMlNormalizer_1	OnnxHardSigmoid	OnnxReduceMin_11
OnnxAiOnnxMlOneHotEncoder	OnnxHardSigmoid_1	OnnxReduceMin_12
OnnxAiOnnxMlOneHotEncoder_1	OnnxHardSigmoid_6	OnnxReduceMin_13
OnnxAiOnnxMlSVMClassifier	OnnxHardSwish	OnnxReduceProd
OnnxAiOnnxMlSVMClassifier_1	OnnxHardSwish_14	OnnxReduceProd_1
OnnxAiOnnxMlSVMRegressor	OnnxHardmax	OnnxReduceProd_11
OnnxAiOnnxMlSVMRegressor_1	OnnxHardmax_1	OnnxReduceProd_13
OnnxAiOnnxMlScaler	OnnxHardmax_11	OnnxReduceSum
OnnxAiOnnxMlScaler_1	OnnxHardmax_13	OnnxReduceSumSquare
OnnxAiOnnxMlTreeEnsembleClassifier	OnnxIdentity	OnnxReduceSumSquare_1
OnnxAiOnnxMlTreeEnsembleClassifier_1	OnnxIdentity_1	OnnxReduceSumSquare_11
OnnxAiOnnxMlTreeEnsembleClassifier_3	OnnxIdentity_13	OnnxReduceSumSquare_13
OnnxAiOnnxMlTreeEnsembleRegressor	OnnxIdentity_14	OnnxReduceSum_1
OnnxAiOnnxMlTreeEnsembleRegressor_1	OnnxIdentity_16	OnnxReduceSum_11
OnnxAiOnnxMlTreeEnsembleRegressor_3	OnnxIf	OnnxReduceSum_13
OnnxAiOnnxMlZipMap	OnnxIf_1	OnnxRelu
OnnxAiOnnxMlZipMap_1	OnnxIf_11	OnnxRelu_1
OnnxAiOnnxPreviewTrainingAdagrad	OnnxIf_13	OnnxRelu_13
OnnxAiOnnxPreviewTrainingAdagrad_1	OnnxIf_16	OnnxRelu_14
OnnxAiOnnxPreviewTrainingAdam	OnnxInstanceNormalization	OnnxRelu_6
OnnxAiOnnxPreviewTrainingAdam_1	OnnxInstanceNormalization_1	OnnxReshape
OnnxAiOnnxPreviewTrainingGradient	OnnxInstanceNormalization_6	OnnxReshape_1
OnnxAiOnnxPreviewTrainingGradient_1	OnnxIsInf	OnnxReshape_13
OnnxAiOnnxPreviewTrainingMomentum	OnnxIsInf_10	OnnxReshape_14
OnnxAiOnnxPreviewTrainingMomentum_1	OnnxIsNaN	OnnxReshape_5
OnnxAnd	OnnxIsNaN_13	OnnxResize
OnnxAnd_1	OnnxIsNaN_9	OnnxResize_10
OnnxAnd_7	OnnxLRN	OnnxResize_11
OnnxArgMax	OnnxLRN_1	OnnxResize_13
OnnxArgMax_1	OnnxLRN_13	OnnxReverseSequence
OnnxArgMax_11	OnnxLSTM	OnnxReverseSequence_10
OnnxArgMax_12	OnnxLSTM_1	OnnxRoiAlign
OnnxArgMax_13	OnnxLSTM_14	OnnxRoiAlign_10
OnnxArgMin	OnnxLSTM_7	OnnxRoiAlign_16
OnnxArgMin_1	OnnxLeakyRelu	OnnxRound
OnnxArgMin_11	OnnxLeakyRelu_1	OnnxRound_11
OnnxArgMin_12	OnnxLeakyRelu_16	OnnxScan
OnnxArgMin_13	OnnxLeakyRelu_6	OnnxScan_11
OnnxAsin	OnnxLess	OnnxScan_16
OnnxAsin_7	OnnxLessOrEqual	OnnxScan_8
OnnxAsinh	OnnxLessOrEqual_12	OnnxScan_9
OnnxAsinh_9	OnnxLessOrEqual_16	OnnxScatter
OnnxAtan	OnnxLess_1	OnnxScatterElements
OnnxAtan_7	OnnxLess_13	OnnxScatterElements_11
OnnxAtanh	OnnxLess_7	OnnxScatterElements_13
OnnxAtanh_9	OnnxLess_9	OnnxScatterElements_16
OnnxAveragePool	OnnxLog	OnnxScatterND
OnnxAveragePool_1	OnnxLogSoftmax	OnnxScatterND_11
OnnxAveragePool_10	OnnxLogSoftmax_1	OnnxScatterND_13
OnnxAveragePool_11	OnnxLogSoftmax_11	OnnxScatterND_16
OnnxAveragePool_7	OnnxLogSoftmax_13	OnnxScatter_11
OnnxBatchNormalization	OnnxLog_1	OnnxScatter_9
OnnxBatchNormalization_1	OnnxLog_13	OnnxSelu
OnnxBatchNormalization_14	OnnxLog_6	OnnxSelu_1
OnnxBatchNormalization_15	OnnxLoop	OnnxSelu_6
OnnxBatchNormalization_6	OnnxLoop_1	OnnxSequenceAt
OnnxBatchNormalization_7	OnnxLoop_11	OnnxSequenceAt_11
OnnxBatchNormalization_9	OnnxLoop_13	OnnxSequenceConstruct
OnnxBernoulli	OnnxLoop_16	OnnxSequenceConstruct_11
OnnxBernoulli_15	OnnxLpNormalization	OnnxSequenceEmpty
OnnxBitShift	OnnxLpNormalization_1	OnnxSequenceEmpty_11
OnnxBitShift_11	OnnxLpPool	OnnxSequenceErase
OnnxCast	OnnxLpPool_1	OnnxSequenceErase_11
OnnxCastLike	OnnxLpPool_11	OnnxSequenceInsert
OnnxCastLike_15	OnnxLpPool_2	OnnxSequenceInsert_11
OnnxCast_1	OnnxMatMul	OnnxSequenceLength
OnnxCast_13	OnnxMatMulInteger	OnnxSequenceLength_11
OnnxCast_6	OnnxMatMulInteger_10	OnnxShape
OnnxCast_9	OnnxMatMul_1	OnnxShape_1
OnnxCeil	OnnxMatMul_13	OnnxShape_13
OnnxCeil_1	OnnxMatMul_9	OnnxShape_15
OnnxCeil_13	OnnxMax	OnnxShrink
OnnxCeil_6	OnnxMaxPool	OnnxShrink_9
OnnxCelu	OnnxMaxPool_1	OnnxSigmoid
OnnxCelu_12	OnnxMaxPool_10	OnnxSigmoid_1
OnnxClip	OnnxMaxPool_11	OnnxSigmoid_13
OnnxClip_1	OnnxMaxPool_12	OnnxSigmoid_6
OnnxClip_11	OnnxMaxPool_8	OnnxSign
OnnxClip_12	OnnxMaxRoiPool	OnnxSign_13
OnnxClip_13	OnnxMaxRoiPool_1	OnnxSign_9
OnnxClip_6	OnnxMaxUnpool	OnnxSin
OnnxCompress	OnnxMaxUnpool_11	OnnxSin_7
OnnxCompress_11	OnnxMaxUnpool_9	OnnxSinh
OnnxCompress_9	OnnxMax_1	OnnxSinh_9
OnnxConcat	OnnxMax_12	OnnxSize
OnnxConcatFromSequence	OnnxMax_13	OnnxSize_1
OnnxConcatFromSequence_11	OnnxMax_6	OnnxSize_13
OnnxConcat_1	OnnxMax_8	OnnxSlice
OnnxConcat_11	OnnxMean	OnnxSlice_1
OnnxConcat_13	OnnxMeanVarianceNormalization	OnnxSlice_10
OnnxConcat_4	OnnxMeanVarianceNormalization_13	OnnxSlice_11
OnnxConstant	OnnxMeanVarianceNormalization_9	OnnxSlice_13
OnnxConstantOfShape	OnnxMean_1	OnnxSoftmax
OnnxConstantOfShape_9	OnnxMean_13	OnnxSoftmaxCrossEntropyLoss
OnnxConstant_1	OnnxMean_6	OnnxSoftmaxCrossEntropyLoss_12
OnnxConstant_11	OnnxMean_8	OnnxSoftmaxCrossEntropyLoss_13
OnnxConstant_12	OnnxMin	OnnxSoftmax_1
OnnxConstant_13	OnnxMin_1	OnnxSoftmax_11
OnnxConstant_9	OnnxMin_12	OnnxSoftmax_13
OnnxConv	OnnxMin_13	OnnxSoftplus
OnnxConvInteger	OnnxMin_6	OnnxSoftplus_1
OnnxConvInteger_10	OnnxMin_8	OnnxSoftsign
OnnxConvTranspose	OnnxMod	OnnxSoftsign_1
OnnxConvTranspose_1	OnnxMod_10	OnnxSpaceToDepth
OnnxConvTranspose_11	OnnxMod_13	OnnxSpaceToDepth_1
OnnxConv_1	OnnxMul	OnnxSpaceToDepth_13
OnnxConv_11	OnnxMul_1	OnnxSplit
OnnxCos	OnnxMul_13	OnnxSplitToSequence
OnnxCos_7	OnnxMul_14	OnnxSplitToSequence_11
OnnxCosh	OnnxMul_6	OnnxSplit_1
OnnxCosh_9	OnnxMul_7	OnnxSplit_11
OnnxCumSum	OnnxMultinomial	OnnxSplit_13
OnnxCumSum_11	OnnxMultinomial_7	OnnxSplit_2
OnnxCumSum_14	OnnxNeg	OnnxSqrt
OnnxDepthToSpace	OnnxNeg_1	OnnxSqrt_1
OnnxDepthToSpace_1	OnnxNeg_13	OnnxSqrt_13
OnnxDepthToSpace_11	OnnxNeg_6	OnnxSqrt_6
OnnxDepthToSpace_13	OnnxNegativeLogLikelihoodLoss	OnnxSqueeze
OnnxDequantizeLinear	OnnxNegativeLogLikelihoodLoss_12	OnnxSqueeze_1
OnnxDequantizeLinear_10	OnnxNegativeLogLikelihoodLoss_13	OnnxSqueeze_11
OnnxDequantizeLinear_13	OnnxNonMaxSuppression	OnnxSqueeze_13
OnnxDet	OnnxNonMaxSuppression_10	OnnxStringNormalizer
OnnxDet_11	OnnxNonMaxSuppression_11	OnnxStringNormalizer_10
OnnxDiv	OnnxNonZero	OnnxSub
OnnxDiv_1	OnnxNonZero_13	OnnxSub_1
OnnxDiv_13	OnnxNonZero_9	OnnxSub_13
OnnxDiv_14	OnnxNot	OnnxSub_14
OnnxDiv_6	OnnxNot_1	OnnxSub_6
OnnxDiv_7	OnnxOneHot	OnnxSub_7
OnnxDropout	OnnxOneHot_11	OnnxSum
OnnxDropout_1	OnnxOneHot_9	OnnxSum_1
OnnxDropout_10	OnnxOptional	OnnxSum_13
OnnxDropout_12	OnnxOptionalGetElement	OnnxSum_6
OnnxDropout_13	OnnxOptionalGetElement_15	OnnxSum_8
OnnxDropout_6	OnnxOptionalHasElement	OnnxTan
OnnxDropout_7	OnnxOptionalHasElement_15	OnnxTan_7
OnnxDynamicQuantizeLinear	OnnxOptional_15	OnnxTanh
OnnxDynamicQuantizeLinear_11	OnnxOr	OnnxTanh_1
OnnxEinsum	OnnxOr_1	OnnxTanh_13
OnnxEinsum_12	OnnxOr_7	OnnxTanh_6
OnnxElu	OnnxPRelu	OnnxTfIdfVectorizer
OnnxElu_1	OnnxPRelu_1	OnnxTfIdfVectorizer_9
OnnxElu_6	OnnxPRelu_16	OnnxThresholdedRelu
OnnxEqual	OnnxPRelu_6	OnnxThresholdedRelu_10
OnnxEqual_1	OnnxPRelu_7	OnnxTile
OnnxEqual_11	OnnxPRelu_9	OnnxTile_1
OnnxEqual_13	OnnxPad	OnnxTile_13
OnnxEqual_7	OnnxPad_1	OnnxTile_6
OnnxErf	OnnxPad_11	OnnxTopK
OnnxErf_13	OnnxPad_13	OnnxTopK_1
OnnxErf_9	OnnxPad_2	OnnxTopK_10
OnnxExp	OnnxPow	OnnxTopK_11
OnnxExp_1	OnnxPow_1	OnnxTranspose
OnnxExp_13	OnnxPow_12	OnnxTranspose_1
OnnxExp_6	OnnxPow_13	OnnxTranspose_13
OnnxExpand	OnnxPow_15	OnnxTrilu
OnnxExpand_13	OnnxPow_7	OnnxTrilu_14
OnnxExpand_8	OnnxQLinearConv	OnnxUnique
OnnxEyeLike	OnnxQLinearConv_10	OnnxUnique_11
OnnxEyeLike_9	OnnxQLinearMatMul	OnnxUnsqueeze
OnnxFlatten	OnnxQLinearMatMul_10	OnnxUnsqueeze_1
OnnxFlatten_1	OnnxQuantizeLinear	OnnxUnsqueeze_11
OnnxFlatten_11	OnnxQuantizeLinear_10	OnnxUnsqueeze_13
OnnxFlatten_13	OnnxQuantizeLinear_13	OnnxUpsample
OnnxFlatten_9	OnnxRNN	OnnxUpsample_10
OnnxFloor	OnnxRNN_1	OnnxUpsample_7
OnnxFloor_1	OnnxRNN_14	OnnxUpsample_9
OnnxFloor_13	OnnxRNN_7	OnnxWhere
OnnxFloor_6	OnnxRandomNormal	OnnxWhere_16
OnnxGRU	OnnxRandomNormalLike	OnnxWhere_9
OnnxGRU_1	OnnxRandomNormalLike_1	OnnxXor
OnnxGRU_14	OnnxRandomNormal_1	OnnxXor_1
OnnxGRU_3	OnnxRandomUniform	OnnxXor_7

OnnxAbs#

class mlprodict.npy.xop_auto_import_.OnnxAbs(*args, **kwargs)#: Version

OnnxAbs_1#

class mlprodict.npy.xop_auto_import_.OnnxAbs_1(*args, **kwargs)#: Version

OnnxAbs_13#

class mlprodict.npy.xop_auto_import_.OnnxAbs_13(*args, **kwargs)#: Version

OnnxAbs_6#

class mlprodict.npy.xop_auto_import_.OnnxAbs_6(*args, **kwargs)#: Version

OnnxAcos#

class mlprodict.npy.xop_auto_import_.OnnxAcos(*args, **kwargs)#: Version

OnnxAcos_7#

class mlprodict.npy.xop_auto_import_.OnnxAcos_7(*args, **kwargs)#: Version

OnnxAcosh#

class mlprodict.npy.xop_auto_import_.OnnxAcosh(*args, **kwargs)#: Version

OnnxAcosh_9#

class mlprodict.npy.xop_auto_import_.OnnxAcosh_9(*args, **kwargs)#: Version

OnnxAdd#

class mlprodict.npy.xop_auto_import_.OnnxAdd(*args, **kwargs)#: Version

OnnxAdd_1#

class mlprodict.npy.xop_auto_import_.OnnxAdd_1(*args, **kwargs)#: Version

OnnxAdd_13#

class mlprodict.npy.xop_auto_import_.OnnxAdd_13(*args, **kwargs)#: Version

OnnxAdd_14#

class mlprodict.npy.xop_auto_import_.OnnxAdd_14(*args, **kwargs)#: Version

OnnxAdd_6#

class mlprodict.npy.xop_auto_import_.OnnxAdd_6(*args, **kwargs)#: Version

OnnxAdd_7#

class mlprodict.npy.xop_auto_import_.OnnxAdd_7(*args, **kwargs)#: Version

OnnxAiOnnxMlArrayFeatureExtractor#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlArrayFeatureExtractor(*args, **kwargs)#: Version

OnnxAiOnnxMlArrayFeatureExtractor_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlArrayFeatureExtractor_1(*args, **kwargs)#: Version

OnnxAiOnnxMlBinarizer#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlBinarizer(*args, **kwargs)#: Version

OnnxAiOnnxMlBinarizer_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlBinarizer_1(*args, **kwargs)#: Version

OnnxAiOnnxMlCastMap#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlCastMap(*args, **kwargs)#: Version

OnnxAiOnnxMlCastMap_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlCastMap_1(*args, **kwargs)#: Version

OnnxAiOnnxMlCategoryMapper#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlCategoryMapper(*args, **kwargs)#: Version

OnnxAiOnnxMlCategoryMapper_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlCategoryMapper_1(*args, **kwargs)#: Version

OnnxAiOnnxMlDictVectorizer#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlDictVectorizer(*args, **kwargs)#: Version

OnnxAiOnnxMlDictVectorizer_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlDictVectorizer_1(*args, **kwargs)#: Version

OnnxAiOnnxMlFeatureVectorizer#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlFeatureVectorizer(*args, **kwargs)#: Version

OnnxAiOnnxMlFeatureVectorizer_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlFeatureVectorizer_1(*args, **kwargs)#: Version

OnnxAiOnnxMlImputer#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlImputer(*args, **kwargs)#: Version

OnnxAiOnnxMlImputer_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlImputer_1(*args, **kwargs)#: Version

OnnxAiOnnxMlLabelEncoder#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLabelEncoder(*args, **kwargs)#: Version

OnnxAiOnnxMlLabelEncoder_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLabelEncoder_1(*args, **kwargs)#: Version

OnnxAiOnnxMlLabelEncoder_2#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLabelEncoder_2(*args, **kwargs)#: Version

OnnxAiOnnxMlLinearClassifier#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLinearClassifier(*args, **kwargs)#: Version

OnnxAiOnnxMlLinearClassifier_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLinearClassifier_1(*args, **kwargs)#: Version

OnnxAiOnnxMlLinearRegressor#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLinearRegressor(*args, **kwargs)#: Version

OnnxAiOnnxMlLinearRegressor_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlLinearRegressor_1(*args, **kwargs)#: Version

OnnxAiOnnxMlNormalizer#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlNormalizer(*args, **kwargs)#: Version

OnnxAiOnnxMlNormalizer_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlNormalizer_1(*args, **kwargs)#: Version

OnnxAiOnnxMlOneHotEncoder#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlOneHotEncoder(*args, **kwargs)#: Version

OnnxAiOnnxMlOneHotEncoder_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlOneHotEncoder_1(*args, **kwargs)#: Version

OnnxAiOnnxMlSVMClassifier#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlSVMClassifier(*args, **kwargs)#: Version

OnnxAiOnnxMlSVMClassifier_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlSVMClassifier_1(*args, **kwargs)#: Version

OnnxAiOnnxMlSVMRegressor#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlSVMRegressor(*args, **kwargs)#: Version

OnnxAiOnnxMlSVMRegressor_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlSVMRegressor_1(*args, **kwargs)#: Version

OnnxAiOnnxMlScaler#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlScaler(*args, **kwargs)#: Version

OnnxAiOnnxMlScaler_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlScaler_1(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleClassifier#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleClassifier(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleClassifier_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleClassifier_1(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleClassifier_3#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleClassifier_3(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleRegressor#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleRegressor(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleRegressor_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleRegressor_1(*args, **kwargs)#: Version

OnnxAiOnnxMlTreeEnsembleRegressor_3#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlTreeEnsembleRegressor_3(*args, **kwargs)#: Version

OnnxAiOnnxMlZipMap#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlZipMap(*args, **kwargs)#: Version

OnnxAiOnnxMlZipMap_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxMlZipMap_1(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingAdagrad#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingAdagrad(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingAdagrad_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingAdagrad_1(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingAdam#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingAdam(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingAdam_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingAdam_1(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingGradient#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingGradient(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingGradient_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingGradient_1(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingMomentum#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingMomentum(*args, **kwargs)#: Version

OnnxAiOnnxPreviewTrainingMomentum_1#

class mlprodict.npy.xop_auto_import_.OnnxAiOnnxPreviewTrainingMomentum_1(*args, **kwargs)#: Version

OnnxAnd#

class mlprodict.npy.xop_auto_import_.OnnxAnd(*args, **kwargs)#: Version

OnnxAnd_1#

class mlprodict.npy.xop_auto_import_.OnnxAnd_1(*args, **kwargs)#: Version

OnnxAnd_7#

class mlprodict.npy.xop_auto_import_.OnnxAnd_7(*args, **kwargs)#: Version

OnnxArgMax#

class mlprodict.npy.xop_auto_import_.OnnxArgMax(*args, **kwargs)#: Version

OnnxArgMax_1#

class mlprodict.npy.xop_auto_import_.OnnxArgMax_1(*args, **kwargs)#: Version

OnnxArgMax_11#

class mlprodict.npy.xop_auto_import_.OnnxArgMax_11(*args, **kwargs)#: Version

OnnxArgMax_12#

class mlprodict.npy.xop_auto_import_.OnnxArgMax_12(*args, **kwargs)#: Version

OnnxArgMax_13#

class mlprodict.npy.xop_auto_import_.OnnxArgMax_13(*args, **kwargs)#: Version

OnnxArgMin#

class mlprodict.npy.xop_auto_import_.OnnxArgMin(*args, **kwargs)#: Version

OnnxArgMin_1#

class mlprodict.npy.xop_auto_import_.OnnxArgMin_1(*args, **kwargs)#: Version

OnnxArgMin_11#

class mlprodict.npy.xop_auto_import_.OnnxArgMin_11(*args, **kwargs)#: Version

OnnxArgMin_12#

class mlprodict.npy.xop_auto_import_.OnnxArgMin_12(*args, **kwargs)#: Version

OnnxArgMin_13#

class mlprodict.npy.xop_auto_import_.OnnxArgMin_13(*args, **kwargs)#: Version

OnnxAsin#

class mlprodict.npy.xop_auto_import_.OnnxAsin(*args, **kwargs)#: Version

OnnxAsin_7#

class mlprodict.npy.xop_auto_import_.OnnxAsin_7(*args, **kwargs)#: Version

OnnxAsinh#

class mlprodict.npy.xop_auto_import_.OnnxAsinh(*args, **kwargs)#: Version

OnnxAsinh_9#

class mlprodict.npy.xop_auto_import_.OnnxAsinh_9(*args, **kwargs)#: Version

OnnxAtan#

class mlprodict.npy.xop_auto_import_.OnnxAtan(*args, **kwargs)#: Version

OnnxAtan_7#

class mlprodict.npy.xop_auto_import_.OnnxAtan_7(*args, **kwargs)#: Version

OnnxAtanh#

class mlprodict.npy.xop_auto_import_.OnnxAtanh(*args, **kwargs)#: Version

OnnxAtanh_9#

class mlprodict.npy.xop_auto_import_.OnnxAtanh_9(*args, **kwargs)#: Version

OnnxAveragePool#

class mlprodict.npy.xop_auto_import_.OnnxAveragePool(*args, **kwargs)#: Version

OnnxAveragePool_1#

class mlprodict.npy.xop_auto_import_.OnnxAveragePool_1(*args, **kwargs)#: Version

OnnxAveragePool_10#

class mlprodict.npy.xop_auto_import_.OnnxAveragePool_10(*args, **kwargs)#: Version

OnnxAveragePool_11#

class mlprodict.npy.xop_auto_import_.OnnxAveragePool_11(*args, **kwargs)#: Version

OnnxAveragePool_7#

class mlprodict.npy.xop_auto_import_.OnnxAveragePool_7(*args, **kwargs)#: Version

OnnxBatchNormalization#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization(*args, **kwargs)#: Version

OnnxBatchNormalization_1#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_1(*args, **kwargs)#: Version

OnnxBatchNormalization_14#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_14(*args, **kwargs)#: Version

OnnxBatchNormalization_15#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_15(*args, **kwargs)#: Version

OnnxBatchNormalization_6#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_6(*args, **kwargs)#: Version

OnnxBatchNormalization_7#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_7(*args, **kwargs)#: Version

OnnxBatchNormalization_9#

class mlprodict.npy.xop_auto_import_.OnnxBatchNormalization_9(*args, **kwargs)#: Version

OnnxBernoulli#

class mlprodict.npy.xop_auto_import_.OnnxBernoulli(*args, **kwargs)#: Version

OnnxBernoulli_15#

class mlprodict.npy.xop_auto_import_.OnnxBernoulli_15(*args, **kwargs)#: Version

OnnxBitShift#

class mlprodict.npy.xop_auto_import_.OnnxBitShift(*args, **kwargs)#: Version

OnnxBitShift_11#

class mlprodict.npy.xop_auto_import_.OnnxBitShift_11(*args, **kwargs)#: Version

OnnxCast#

class mlprodict.npy.xop_auto_import_.OnnxCast(*args, **kwargs)#: Version

OnnxCastLike#

class mlprodict.npy.xop_auto_import_.OnnxCastLike(*args, **kwargs)#: Version

OnnxCastLike_15#

class mlprodict.npy.xop_auto_import_.OnnxCastLike_15(*args, **kwargs)#: Version

OnnxCast_1#

class mlprodict.npy.xop_auto_import_.OnnxCast_1(*args, **kwargs)#: Version

OnnxCast_13#

class mlprodict.npy.xop_auto_import_.OnnxCast_13(*args, **kwargs)#: Version

OnnxCast_6#

class mlprodict.npy.xop_auto_import_.OnnxCast_6(*args, **kwargs)#: Version

OnnxCast_9#

class mlprodict.npy.xop_auto_import_.OnnxCast_9(*args, **kwargs)#: Version

OnnxCeil#

class mlprodict.npy.xop_auto_import_.OnnxCeil(*args, **kwargs)#: Version

OnnxCeil_1#

class mlprodict.npy.xop_auto_import_.OnnxCeil_1(*args, **kwargs)#: Version

OnnxCeil_13#

class mlprodict.npy.xop_auto_import_.OnnxCeil_13(*args, **kwargs)#: Version

OnnxCeil_6#

class mlprodict.npy.xop_auto_import_.OnnxCeil_6(*args, **kwargs)#: Version

OnnxCelu#

class mlprodict.npy.xop_auto_import_.OnnxCelu(*args, **kwargs)#: Version

OnnxCelu_12#

class mlprodict.npy.xop_auto_import_.OnnxCelu_12(*args, **kwargs)#: Version

OnnxClip#

class mlprodict.npy.xop_auto_import_.OnnxClip(*args, **kwargs)#: Version

OnnxClip_1#

class mlprodict.npy.xop_auto_import_.OnnxClip_1(*args, **kwargs)#: Version

OnnxClip_11#

class mlprodict.npy.xop_auto_import_.OnnxClip_11(*args, **kwargs)#: Version

OnnxClip_12#

class mlprodict.npy.xop_auto_import_.OnnxClip_12(*args, **kwargs)#: Version

OnnxClip_13#

class mlprodict.npy.xop_auto_import_.OnnxClip_13(*args, **kwargs)#: Version

OnnxClip_6#

class mlprodict.npy.xop_auto_import_.OnnxClip_6(*args, **kwargs)#: Version

OnnxCompress#

class mlprodict.npy.xop_auto_import_.OnnxCompress(*args, **kwargs)#: Version

OnnxCompress_11#

class mlprodict.npy.xop_auto_import_.OnnxCompress_11(*args, **kwargs)#: Version

OnnxCompress_9#

class mlprodict.npy.xop_auto_import_.OnnxCompress_9(*args, **kwargs)#: Version

OnnxConcat#

class mlprodict.npy.xop_auto_import_.OnnxConcat(*args, **kwargs)#: Version

OnnxConcatFromSequence#

class mlprodict.npy.xop_auto_import_.OnnxConcatFromSequence(*args, **kwargs)#: Version

OnnxConcatFromSequence_11#

class mlprodict.npy.xop_auto_import_.OnnxConcatFromSequence_11(*args, **kwargs)#: Version

OnnxConcat_1#

class mlprodict.npy.xop_auto_import_.OnnxConcat_1(*args, **kwargs)#: Version

OnnxConcat_11#

class mlprodict.npy.xop_auto_import_.OnnxConcat_11(*args, **kwargs)#: Version

OnnxConcat_13#

class mlprodict.npy.xop_auto_import_.OnnxConcat_13(*args, **kwargs)#: Version

OnnxConcat_4#

class mlprodict.npy.xop_auto_import_.OnnxConcat_4(*args, **kwargs)#: Version

OnnxConstant#

class mlprodict.npy.xop_auto_import_.OnnxConstant(*args, **kwargs)#: Version

OnnxConstantOfShape#

class mlprodict.npy.xop_auto_import_.OnnxConstantOfShape(*args, **kwargs)#: Version

OnnxConstantOfShape_9#

class mlprodict.npy.xop_auto_import_.OnnxConstantOfShape_9(*args, **kwargs)#: Version

OnnxConstant_1#

class mlprodict.npy.xop_auto_import_.OnnxConstant_1(*args, **kwargs)#: Version

OnnxConstant_11#

class mlprodict.npy.xop_auto_import_.OnnxConstant_11(*args, **kwargs)#: Version

OnnxConstant_12#

class mlprodict.npy.xop_auto_import_.OnnxConstant_12(*args, **kwargs)#: Version

OnnxConstant_13#

class mlprodict.npy.xop_auto_import_.OnnxConstant_13(*args, **kwargs)#: Version

OnnxConstant_9#

class mlprodict.npy.xop_auto_import_.OnnxConstant_9(*args, **kwargs)#: Version

OnnxConv#

class mlprodict.npy.xop_auto_import_.OnnxConv(*args, **kwargs)#: Version

OnnxConvInteger#

class mlprodict.npy.xop_auto_import_.OnnxConvInteger(*args, **kwargs)#: Version

OnnxConvInteger_10#

class mlprodict.npy.xop_auto_import_.OnnxConvInteger_10(*args, **kwargs)#: Version

OnnxConvTranspose#

class mlprodict.npy.xop_auto_import_.OnnxConvTranspose(*args, **kwargs)#: Version

OnnxConvTranspose_1#

class mlprodict.npy.xop_auto_import_.OnnxConvTranspose_1(*args, **kwargs)#: Version

OnnxConvTranspose_11#

class mlprodict.npy.xop_auto_import_.OnnxConvTranspose_11(*args, **kwargs)#: Version

OnnxConv_1#

class mlprodict.npy.xop_auto_import_.OnnxConv_1(*args, **kwargs)#: Version

OnnxConv_11#

class mlprodict.npy.xop_auto_import_.OnnxConv_11(*args, **kwargs)#: Version

OnnxCos#

class mlprodict.npy.xop_auto_import_.OnnxCos(*args, **kwargs)#: Version

OnnxCos_7#

class mlprodict.npy.xop_auto_import_.OnnxCos_7(*args, **kwargs)#: Version

OnnxCosh#

class mlprodict.npy.xop_auto_import_.OnnxCosh(*args, **kwargs)#: Version

OnnxCosh_9#

class mlprodict.npy.xop_auto_import_.OnnxCosh_9(*args, **kwargs)#: Version

OnnxCumSum#

class mlprodict.npy.xop_auto_import_.OnnxCumSum(*args, **kwargs)#: Version

OnnxCumSum_11#

class mlprodict.npy.xop_auto_import_.OnnxCumSum_11(*args, **kwargs)#: Version

OnnxCumSum_14#

class mlprodict.npy.xop_auto_import_.OnnxCumSum_14(*args, **kwargs)#: Version

OnnxDepthToSpace#

class mlprodict.npy.xop_auto_import_.OnnxDepthToSpace(*args, **kwargs)#: Version

OnnxDepthToSpace_1#

class mlprodict.npy.xop_auto_import_.OnnxDepthToSpace_1(*args, **kwargs)#: Version

OnnxDepthToSpace_11#

class mlprodict.npy.xop_auto_import_.OnnxDepthToSpace_11(*args, **kwargs)#: Version

OnnxDepthToSpace_13#

class mlprodict.npy.xop_auto_import_.OnnxDepthToSpace_13(*args, **kwargs)#: Version

OnnxDequantizeLinear#

class mlprodict.npy.xop_auto_import_.OnnxDequantizeLinear(*args, **kwargs)#: Version

OnnxDequantizeLinear_10#

class mlprodict.npy.xop_auto_import_.OnnxDequantizeLinear_10(*args, **kwargs)#: Version

OnnxDequantizeLinear_13#

class mlprodict.npy.xop_auto_import_.OnnxDequantizeLinear_13(*args, **kwargs)#: Version

OnnxDet#

class mlprodict.npy.xop_auto_import_.OnnxDet(*args, **kwargs)#: Version

OnnxDet_11#

class mlprodict.npy.xop_auto_import_.OnnxDet_11(*args, **kwargs)#: Version

OnnxDiv#

class mlprodict.npy.xop_auto_import_.OnnxDiv(*args, **kwargs)#: Version

OnnxDiv_1#

class mlprodict.npy.xop_auto_import_.OnnxDiv_1(*args, **kwargs)#: Version

OnnxDiv_13#

class mlprodict.npy.xop_auto_import_.OnnxDiv_13(*args, **kwargs)#: Version

OnnxDiv_14#

class mlprodict.npy.xop_auto_import_.OnnxDiv_14(*args, **kwargs)#: Version

OnnxDiv_6#

class mlprodict.npy.xop_auto_import_.OnnxDiv_6(*args, **kwargs)#: Version

OnnxDiv_7#

class mlprodict.npy.xop_auto_import_.OnnxDiv_7(*args, **kwargs)#: Version

OnnxDropout#

class mlprodict.npy.xop_auto_import_.OnnxDropout(*args, **kwargs)#: Version

OnnxDropout_1#

class mlprodict.npy.xop_auto_import_.OnnxDropout_1(*args, **kwargs)#: Version

OnnxDropout_10#

class mlprodict.npy.xop_auto_import_.OnnxDropout_10(*args, **kwargs)#: Version

OnnxDropout_12#

class mlprodict.npy.xop_auto_import_.OnnxDropout_12(*args, **kwargs)#: Version

OnnxDropout_13#

class mlprodict.npy.xop_auto_import_.OnnxDropout_13(*args, **kwargs)#: Version

OnnxDropout_6#

class mlprodict.npy.xop_auto_import_.OnnxDropout_6(*args, **kwargs)#: Version

OnnxDropout_7#

class mlprodict.npy.xop_auto_import_.OnnxDropout_7(*args, **kwargs)#: Version

OnnxDynamicQuantizeLinear#

class mlprodict.npy.xop_auto_import_.OnnxDynamicQuantizeLinear(*args, **kwargs)#: Version

OnnxDynamicQuantizeLinear_11#

class mlprodict.npy.xop_auto_import_.OnnxDynamicQuantizeLinear_11(*args, **kwargs)#: Version

OnnxEinsum#

class mlprodict.npy.xop_auto_import_.OnnxEinsum(*args, **kwargs)#: Version

OnnxEinsum_12#

class mlprodict.npy.xop_auto_import_.OnnxEinsum_12(*args, **kwargs)#: Version

OnnxElu#

class mlprodict.npy.xop_auto_import_.OnnxElu(*args, **kwargs)#: Version

OnnxElu_1#

class mlprodict.npy.xop_auto_import_.OnnxElu_1(*args, **kwargs)#: Version

OnnxElu_6#

class mlprodict.npy.xop_auto_import_.OnnxElu_6(*args, **kwargs)#: Version

OnnxEqual#

class mlprodict.npy.xop_auto_import_.OnnxEqual(*args, **kwargs)#: Version

OnnxEqual_1#

class mlprodict.npy.xop_auto_import_.OnnxEqual_1(*args, **kwargs)#: Version

OnnxEqual_11#

class mlprodict.npy.xop_auto_import_.OnnxEqual_11(*args, **kwargs)#: Version

OnnxEqual_13#

class mlprodict.npy.xop_auto_import_.OnnxEqual_13(*args, **kwargs)#: Version

OnnxEqual_7#

class mlprodict.npy.xop_auto_import_.OnnxEqual_7(*args, **kwargs)#: Version

OnnxErf#

class mlprodict.npy.xop_auto_import_.OnnxErf(*args, **kwargs)#: Version

OnnxErf_13#

class mlprodict.npy.xop_auto_import_.OnnxErf_13(*args, **kwargs)#: Version

OnnxErf_9#

class mlprodict.npy.xop_auto_import_.OnnxErf_9(*args, **kwargs)#: Version

OnnxExp#

class mlprodict.npy.xop_auto_import_.OnnxExp(*args, **kwargs)#: Version

OnnxExp_1#

class mlprodict.npy.xop_auto_import_.OnnxExp_1(*args, **kwargs)#: Version

OnnxExp_13#

class mlprodict.npy.xop_auto_import_.OnnxExp_13(*args, **kwargs)#: Version

OnnxExp_6#

class mlprodict.npy.xop_auto_import_.OnnxExp_6(*args, **kwargs)#: Version

OnnxExpand#

class mlprodict.npy.xop_auto_import_.OnnxExpand(*args, **kwargs)#: Version

OnnxExpand_13#

class mlprodict.npy.xop_auto_import_.OnnxExpand_13(*args, **kwargs)#: Version

OnnxExpand_8#

class mlprodict.npy.xop_auto_import_.OnnxExpand_8(*args, **kwargs)#: Version

OnnxEyeLike#

class mlprodict.npy.xop_auto_import_.OnnxEyeLike(*args, **kwargs)#: Version

OnnxEyeLike_9#

class mlprodict.npy.xop_auto_import_.OnnxEyeLike_9(*args, **kwargs)#: Version

OnnxFlatten#

class mlprodict.npy.xop_auto_import_.OnnxFlatten(*args, **kwargs)#: Version

OnnxFlatten_1#

class mlprodict.npy.xop_auto_import_.OnnxFlatten_1(*args, **kwargs)#: Version

OnnxFlatten_11#

class mlprodict.npy.xop_auto_import_.OnnxFlatten_11(*args, **kwargs)#: Version

OnnxFlatten_13#

class mlprodict.npy.xop_auto_import_.OnnxFlatten_13(*args, **kwargs)#: Version

OnnxFlatten_9#

class mlprodict.npy.xop_auto_import_.OnnxFlatten_9(*args, **kwargs)#: Version

OnnxFloor#

class mlprodict.npy.xop_auto_import_.OnnxFloor(*args, **kwargs)#: Version

OnnxFloor_1#

class mlprodict.npy.xop_auto_import_.OnnxFloor_1(*args, **kwargs)#: Version

OnnxFloor_13#

class mlprodict.npy.xop_auto_import_.OnnxFloor_13(*args, **kwargs)#: Version

OnnxFloor_6#

class mlprodict.npy.xop_auto_import_.OnnxFloor_6(*args, **kwargs)#: Version

OnnxGRU#

class mlprodict.npy.xop_auto_import_.OnnxGRU(*args, **kwargs)#: Version

OnnxGRU_1#

class mlprodict.npy.xop_auto_import_.OnnxGRU_1(*args, **kwargs)#: Version

OnnxGRU_14#

class mlprodict.npy.xop_auto_import_.OnnxGRU_14(*args, **kwargs)#: Version

OnnxGRU_3#

class mlprodict.npy.xop_auto_import_.OnnxGRU_3(*args, **kwargs)#: Version

OnnxGRU_7#

class mlprodict.npy.xop_auto_import_.OnnxGRU_7(*args, **kwargs)#: Version

OnnxGather#

class mlprodict.npy.xop_auto_import_.OnnxGather(*args, **kwargs)#: Version

OnnxGatherElements#

class mlprodict.npy.xop_auto_import_.OnnxGatherElements(*args, **kwargs)#: Version

OnnxGatherElements_11#

class mlprodict.npy.xop_auto_import_.OnnxGatherElements_11(*args, **kwargs)#: Version

OnnxGatherElements_13#

class mlprodict.npy.xop_auto_import_.OnnxGatherElements_13(*args, **kwargs)#: Version

OnnxGatherND#

class mlprodict.npy.xop_auto_import_.OnnxGatherND(*args, **kwargs)#: Version

OnnxGatherND_11#

class mlprodict.npy.xop_auto_import_.OnnxGatherND_11(*args, **kwargs)#: Version

OnnxGatherND_12#

class mlprodict.npy.xop_auto_import_.OnnxGatherND_12(*args, **kwargs)#: Version

OnnxGatherND_13#

class mlprodict.npy.xop_auto_import_.OnnxGatherND_13(*args, **kwargs)#: Version

OnnxGather_1#

class mlprodict.npy.xop_auto_import_.OnnxGather_1(*args, **kwargs)#: Version

OnnxGather_11#

class mlprodict.npy.xop_auto_import_.OnnxGather_11(*args, **kwargs)#: Version

OnnxGather_13#

class mlprodict.npy.xop_auto_import_.OnnxGather_13(*args, **kwargs)#: Version

OnnxGemm#

class mlprodict.npy.xop_auto_import_.OnnxGemm(*args, **kwargs)#: Version

OnnxGemm_1#

class mlprodict.npy.xop_auto_import_.OnnxGemm_1(*args, **kwargs)#: Version

OnnxGemm_11#

class mlprodict.npy.xop_auto_import_.OnnxGemm_11(*args, **kwargs)#: Version

OnnxGemm_13#

class mlprodict.npy.xop_auto_import_.OnnxGemm_13(*args, **kwargs)#: Version

OnnxGemm_6#

class mlprodict.npy.xop_auto_import_.OnnxGemm_6(*args, **kwargs)#: Version

OnnxGemm_7#

class mlprodict.npy.xop_auto_import_.OnnxGemm_7(*args, **kwargs)#: Version

OnnxGemm_9#

class mlprodict.npy.xop_auto_import_.OnnxGemm_9(*args, **kwargs)#: Version

OnnxGlobalAveragePool#

class mlprodict.npy.xop_auto_import_.OnnxGlobalAveragePool(*args, **kwargs)#: Version

OnnxGlobalAveragePool_1#

class mlprodict.npy.xop_auto_import_.OnnxGlobalAveragePool_1(*args, **kwargs)#: Version

OnnxGlobalLpPool#

class mlprodict.npy.xop_auto_import_.OnnxGlobalLpPool(*args, **kwargs)#: Version

OnnxGlobalLpPool_1#

class mlprodict.npy.xop_auto_import_.OnnxGlobalLpPool_1(*args, **kwargs)#: Version

OnnxGlobalLpPool_2#

class mlprodict.npy.xop_auto_import_.OnnxGlobalLpPool_2(*args, **kwargs)#: Version

OnnxGlobalMaxPool#

class mlprodict.npy.xop_auto_import_.OnnxGlobalMaxPool(*args, **kwargs)#: Version

OnnxGlobalMaxPool_1#

class mlprodict.npy.xop_auto_import_.OnnxGlobalMaxPool_1(*args, **kwargs)#: Version

OnnxGreater#

class mlprodict.npy.xop_auto_import_.OnnxGreater(*args, **kwargs)#: Version

OnnxGreaterOrEqual#

class mlprodict.npy.xop_auto_import_.OnnxGreaterOrEqual(*args, **kwargs)#: Version

OnnxGreaterOrEqual_12#

class mlprodict.npy.xop_auto_import_.OnnxGreaterOrEqual_12(*args, **kwargs)#: Version

OnnxGreaterOrEqual_16#

class mlprodict.npy.xop_auto_import_.OnnxGreaterOrEqual_16(*args, **kwargs)#: Version

OnnxGreater_1#

class mlprodict.npy.xop_auto_import_.OnnxGreater_1(*args, **kwargs)#: Version

OnnxGreater_13#

class mlprodict.npy.xop_auto_import_.OnnxGreater_13(*args, **kwargs)#: Version

OnnxGreater_7#

class mlprodict.npy.xop_auto_import_.OnnxGreater_7(*args, **kwargs)#: Version

OnnxGreater_9#

class mlprodict.npy.xop_auto_import_.OnnxGreater_9(*args, **kwargs)#: Version

OnnxGridSample#

class mlprodict.npy.xop_auto_import_.OnnxGridSample(*args, **kwargs)#: Version

OnnxGridSample_16#

class mlprodict.npy.xop_auto_import_.OnnxGridSample_16(*args, **kwargs)#: Version

OnnxHardSigmoid#

class mlprodict.npy.xop_auto_import_.OnnxHardSigmoid(*args, **kwargs)#: Version

OnnxHardSigmoid_1#

class mlprodict.npy.xop_auto_import_.OnnxHardSigmoid_1(*args, **kwargs)#: Version

OnnxHardSigmoid_6#

class mlprodict.npy.xop_auto_import_.OnnxHardSigmoid_6(*args, **kwargs)#: Version

OnnxHardSwish#

class mlprodict.npy.xop_auto_import_.OnnxHardSwish(*args, **kwargs)#: Version

OnnxHardSwish_14#

class mlprodict.npy.xop_auto_import_.OnnxHardSwish_14(*args, **kwargs)#: Version

OnnxHardmax#

class mlprodict.npy.xop_auto_import_.OnnxHardmax(*args, **kwargs)#: Version

OnnxHardmax_1#

class mlprodict.npy.xop_auto_import_.OnnxHardmax_1(*args, **kwargs)#: Version

OnnxHardmax_11#

class mlprodict.npy.xop_auto_import_.OnnxHardmax_11(*args, **kwargs)#: Version

OnnxHardmax_13#

class mlprodict.npy.xop_auto_import_.OnnxHardmax_13(*args, **kwargs)#: Version

OnnxIdentity#

class mlprodict.npy.xop_auto_import_.OnnxIdentity(*args, **kwargs)#: Version

OnnxIdentity_1#

class mlprodict.npy.xop_auto_import_.OnnxIdentity_1(*args, **kwargs)#: Version

OnnxIdentity_13#

class mlprodict.npy.xop_auto_import_.OnnxIdentity_13(*args, **kwargs)#: Version

OnnxIdentity_14#

class mlprodict.npy.xop_auto_import_.OnnxIdentity_14(*args, **kwargs)#: Version

OnnxIdentity_16#

class mlprodict.npy.xop_auto_import_.OnnxIdentity_16(*args, **kwargs)#: Version

OnnxIf#

class mlprodict.npy.xop_auto_import_.OnnxIf(*args, **kwargs)#: Version

OnnxIf_1#

class mlprodict.npy.xop_auto_import_.OnnxIf_1(*args, **kwargs)#: Version

OnnxIf_11#

class mlprodict.npy.xop_auto_import_.OnnxIf_11(*args, **kwargs)#: Version

OnnxIf_13#

class mlprodict.npy.xop_auto_import_.OnnxIf_13(*args, **kwargs)#: Version

OnnxIf_16#

class mlprodict.npy.xop_auto_import_.OnnxIf_16(*args, **kwargs)#: Version

OnnxInstanceNormalization#

class mlprodict.npy.xop_auto_import_.OnnxInstanceNormalization(*args, **kwargs)#: Version

OnnxInstanceNormalization_1#

class mlprodict.npy.xop_auto_import_.OnnxInstanceNormalization_1(*args, **kwargs)#: Version

OnnxInstanceNormalization_6#

class mlprodict.npy.xop_auto_import_.OnnxInstanceNormalization_6(*args, **kwargs)#: Version

OnnxIsInf#

class mlprodict.npy.xop_auto_import_.OnnxIsInf(*args, **kwargs)#: Version

OnnxIsInf_10#

class mlprodict.npy.xop_auto_import_.OnnxIsInf_10(*args, **kwargs)#: Version

OnnxIsNaN#

class mlprodict.npy.xop_auto_import_.OnnxIsNaN(*args, **kwargs)#: Version

OnnxIsNaN_13#

class mlprodict.npy.xop_auto_import_.OnnxIsNaN_13(*args, **kwargs)#: Version

OnnxIsNaN_9#

class mlprodict.npy.xop_auto_import_.OnnxIsNaN_9(*args, **kwargs)#: Version

OnnxLRN#

class mlprodict.npy.xop_auto_import_.OnnxLRN(*args, **kwargs)#: Version

OnnxLRN_1#

class mlprodict.npy.xop_auto_import_.OnnxLRN_1(*args, **kwargs)#: Version

OnnxLRN_13#

class mlprodict.npy.xop_auto_import_.OnnxLRN_13(*args, **kwargs)#: Version

OnnxLSTM#

class mlprodict.npy.xop_auto_import_.OnnxLSTM(*args, **kwargs)#: Version

OnnxLSTM_1#

class mlprodict.npy.xop_auto_import_.OnnxLSTM_1(*args, **kwargs)#: Version

OnnxLSTM_14#

class mlprodict.npy.xop_auto_import_.OnnxLSTM_14(*args, **kwargs)#: Version

OnnxLSTM_7#

class mlprodict.npy.xop_auto_import_.OnnxLSTM_7(*args, **kwargs)#: Version

OnnxLeakyRelu#

class mlprodict.npy.xop_auto_import_.OnnxLeakyRelu(*args, **kwargs)#: Version

OnnxLeakyRelu_1#

class mlprodict.npy.xop_auto_import_.OnnxLeakyRelu_1(*args, **kwargs)#: Version

OnnxLeakyRelu_16#

class mlprodict.npy.xop_auto_import_.OnnxLeakyRelu_16(*args, **kwargs)#: Version

OnnxLeakyRelu_6#

class mlprodict.npy.xop_auto_import_.OnnxLeakyRelu_6(*args, **kwargs)#: Version

OnnxLess#

class mlprodict.npy.xop_auto_import_.OnnxLess(*args, **kwargs)#: Version

OnnxLessOrEqual#

class mlprodict.npy.xop_auto_import_.OnnxLessOrEqual(*args, **kwargs)#: Version

OnnxLessOrEqual_12#

class mlprodict.npy.xop_auto_import_.OnnxLessOrEqual_12(*args, **kwargs)#: Version

OnnxLessOrEqual_16#

class mlprodict.npy.xop_auto_import_.OnnxLessOrEqual_16(*args, **kwargs)#: Version

OnnxLess_1#

class mlprodict.npy.xop_auto_import_.OnnxLess_1(*args, **kwargs)#: Version

OnnxLess_13#

class mlprodict.npy.xop_auto_import_.OnnxLess_13(*args, **kwargs)#: Version

OnnxLess_7#

class mlprodict.npy.xop_auto_import_.OnnxLess_7(*args, **kwargs)#: Version

OnnxLess_9#

class mlprodict.npy.xop_auto_import_.OnnxLess_9(*args, **kwargs)#: Version

OnnxLog#

class mlprodict.npy.xop_auto_import_.OnnxLog(*args, **kwargs)#: Version

OnnxLogSoftmax#

class mlprodict.npy.xop_auto_import_.OnnxLogSoftmax(*args, **kwargs)#: Version

OnnxLogSoftmax_1#

class mlprodict.npy.xop_auto_import_.OnnxLogSoftmax_1(*args, **kwargs)#: Version

OnnxLogSoftmax_11#

class mlprodict.npy.xop_auto_import_.OnnxLogSoftmax_11(*args, **kwargs)#: Version

OnnxLogSoftmax_13#

class mlprodict.npy.xop_auto_import_.OnnxLogSoftmax_13(*args, **kwargs)#: Version

OnnxLog_1#

class mlprodict.npy.xop_auto_import_.OnnxLog_1(*args, **kwargs)#: Version

OnnxLog_13#

class mlprodict.npy.xop_auto_import_.OnnxLog_13(*args, **kwargs)#: Version

OnnxLog_6#

class mlprodict.npy.xop_auto_import_.OnnxLog_6(*args, **kwargs)#: Version

OnnxLoop#

class mlprodict.npy.xop_auto_import_.OnnxLoop(*args, **kwargs)#: Version

OnnxLoop_1#

class mlprodict.npy.xop_auto_import_.OnnxLoop_1(*args, **kwargs)#: Version

OnnxLoop_11#

class mlprodict.npy.xop_auto_import_.OnnxLoop_11(*args, **kwargs)#: Version

OnnxLoop_13#

class mlprodict.npy.xop_auto_import_.OnnxLoop_13(*args, **kwargs)#: Version

OnnxLoop_16#

class mlprodict.npy.xop_auto_import_.OnnxLoop_16(*args, **kwargs)#: Version

OnnxLpNormalization#

class mlprodict.npy.xop_auto_import_.OnnxLpNormalization(*args, **kwargs)#: Version

OnnxLpNormalization_1#

class mlprodict.npy.xop_auto_import_.OnnxLpNormalization_1(*args, **kwargs)#: Version

OnnxLpPool#

class mlprodict.npy.xop_auto_import_.OnnxLpPool(*args, **kwargs)#: Version

OnnxLpPool_1#

class mlprodict.npy.xop_auto_import_.OnnxLpPool_1(*args, **kwargs)#: Version

OnnxLpPool_11#

class mlprodict.npy.xop_auto_import_.OnnxLpPool_11(*args, **kwargs)#: Version

OnnxLpPool_2#

class mlprodict.npy.xop_auto_import_.OnnxLpPool_2(*args, **kwargs)#: Version

OnnxMatMul#

class mlprodict.npy.xop_auto_import_.OnnxMatMul(*args, **kwargs)#: Version

OnnxMatMulInteger#

class mlprodict.npy.xop_auto_import_.OnnxMatMulInteger(*args, **kwargs)#: Version

OnnxMatMulInteger_10#

class mlprodict.npy.xop_auto_import_.OnnxMatMulInteger_10(*args, **kwargs)#: Version

OnnxMatMul_1#

class mlprodict.npy.xop_auto_import_.OnnxMatMul_1(*args, **kwargs)#: Version

OnnxMatMul_13#

class mlprodict.npy.xop_auto_import_.OnnxMatMul_13(*args, **kwargs)#: Version

OnnxMatMul_9#

class mlprodict.npy.xop_auto_import_.OnnxMatMul_9(*args, **kwargs)#: Version

OnnxMax#

class mlprodict.npy.xop_auto_import_.OnnxMax(*args, **kwargs)#: Version

OnnxMaxPool#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool(*args, **kwargs)#: Version

OnnxMaxPool_1#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool_1(*args, **kwargs)#: Version

OnnxMaxPool_10#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool_10(*args, **kwargs)#: Version

OnnxMaxPool_11#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool_11(*args, **kwargs)#: Version

OnnxMaxPool_12#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool_12(*args, **kwargs)#: Version

OnnxMaxPool_8#

class mlprodict.npy.xop_auto_import_.OnnxMaxPool_8(*args, **kwargs)#: Version

OnnxMaxRoiPool#

class mlprodict.npy.xop_auto_import_.OnnxMaxRoiPool(*args, **kwargs)#: Version

OnnxMaxRoiPool_1#

class mlprodict.npy.xop_auto_import_.OnnxMaxRoiPool_1(*args, **kwargs)#: Version

OnnxMaxUnpool#

class mlprodict.npy.xop_auto_import_.OnnxMaxUnpool(*args, **kwargs)#: Version

OnnxMaxUnpool_11#

class mlprodict.npy.xop_auto_import_.OnnxMaxUnpool_11(*args, **kwargs)#: Version

OnnxMaxUnpool_9#

class mlprodict.npy.xop_auto_import_.OnnxMaxUnpool_9(*args, **kwargs)#: Version

OnnxMax_1#

class mlprodict.npy.xop_auto_import_.OnnxMax_1(*args, **kwargs)#: Version

OnnxMax_12#

class mlprodict.npy.xop_auto_import_.OnnxMax_12(*args, **kwargs)#: Version

OnnxMax_13#

class mlprodict.npy.xop_auto_import_.OnnxMax_13(*args, **kwargs)#: Version

OnnxMax_6#

class mlprodict.npy.xop_auto_import_.OnnxMax_6(*args, **kwargs)#: Version

OnnxMax_8#

class mlprodict.npy.xop_auto_import_.OnnxMax_8(*args, **kwargs)#: Version

OnnxMean#

class mlprodict.npy.xop_auto_import_.OnnxMean(*args, **kwargs)#: Version

OnnxMeanVarianceNormalization#

class mlprodict.npy.xop_auto_import_.OnnxMeanVarianceNormalization(*args, **kwargs)#: Version

OnnxMeanVarianceNormalization_13#

class mlprodict.npy.xop_auto_import_.OnnxMeanVarianceNormalization_13(*args, **kwargs)#: Version

OnnxMeanVarianceNormalization_9#

class mlprodict.npy.xop_auto_import_.OnnxMeanVarianceNormalization_9(*args, **kwargs)#: Version

OnnxMean_1#

class mlprodict.npy.xop_auto_import_.OnnxMean_1(*args, **kwargs)#: Version

OnnxMean_13#

class mlprodict.npy.xop_auto_import_.OnnxMean_13(*args, **kwargs)#: Version

OnnxMean_6#

class mlprodict.npy.xop_auto_import_.OnnxMean_6(*args, **kwargs)#: Version

OnnxMean_8#

class mlprodict.npy.xop_auto_import_.OnnxMean_8(*args, **kwargs)#: Version

OnnxMin#

class mlprodict.npy.xop_auto_import_.OnnxMin(*args, **kwargs)#: Version

OnnxMin_1#

class mlprodict.npy.xop_auto_import_.OnnxMin_1(*args, **kwargs)#: Version

OnnxMin_12#

class mlprodict.npy.xop_auto_import_.OnnxMin_12(*args, **kwargs)#: Version

OnnxMin_13#

class mlprodict.npy.xop_auto_import_.OnnxMin_13(*args, **kwargs)#: Version

OnnxMin_6#

class mlprodict.npy.xop_auto_import_.OnnxMin_6(*args, **kwargs)#: Version

OnnxMin_8#

class mlprodict.npy.xop_auto_import_.OnnxMin_8(*args, **kwargs)#: Version

OnnxMod#

class mlprodict.npy.xop_auto_import_.OnnxMod(*args, **kwargs)#: Version

OnnxMod_10#

class mlprodict.npy.xop_auto_import_.OnnxMod_10(*args, **kwargs)#: Version

OnnxMod_13#

class mlprodict.npy.xop_auto_import_.OnnxMod_13(*args, **kwargs)#: Version

OnnxMul#

class mlprodict.npy.xop_auto_import_.OnnxMul(*args, **kwargs)#: Version

OnnxMul_1#

class mlprodict.npy.xop_auto_import_.OnnxMul_1(*args, **kwargs)#: Version

OnnxMul_13#

class mlprodict.npy.xop_auto_import_.OnnxMul_13(*args, **kwargs)#: Version

OnnxMul_14#

class mlprodict.npy.xop_auto_import_.OnnxMul_14(*args, **kwargs)#: Version

OnnxMul_6#

class mlprodict.npy.xop_auto_import_.OnnxMul_6(*args, **kwargs)#: Version

OnnxMul_7#

class mlprodict.npy.xop_auto_import_.OnnxMul_7(*args, **kwargs)#: Version

OnnxMultinomial#

class mlprodict.npy.xop_auto_import_.OnnxMultinomial(*args, **kwargs)#: Version

OnnxMultinomial_7#

class mlprodict.npy.xop_auto_import_.OnnxMultinomial_7(*args, **kwargs)#: Version

OnnxNeg#

class mlprodict.npy.xop_auto_import_.OnnxNeg(*args, **kwargs)#: Version

OnnxNeg_1#

class mlprodict.npy.xop_auto_import_.OnnxNeg_1(*args, **kwargs)#: Version

OnnxNeg_13#

class mlprodict.npy.xop_auto_import_.OnnxNeg_13(*args, **kwargs)#: Version

OnnxNeg_6#

class mlprodict.npy.xop_auto_import_.OnnxNeg_6(*args, **kwargs)#: Version

OnnxNegativeLogLikelihoodLoss#

class mlprodict.npy.xop_auto_import_.OnnxNegativeLogLikelihoodLoss(*args, **kwargs)#: Version

OnnxNegativeLogLikelihoodLoss_12#

class mlprodict.npy.xop_auto_import_.OnnxNegativeLogLikelihoodLoss_12(*args, **kwargs)#: Version

OnnxNegativeLogLikelihoodLoss_13#

class mlprodict.npy.xop_auto_import_.OnnxNegativeLogLikelihoodLoss_13(*args, **kwargs)#: Version

OnnxNonMaxSuppression#

class mlprodict.npy.xop_auto_import_.OnnxNonMaxSuppression(*args, **kwargs)#: Version

OnnxNonMaxSuppression_10#

class mlprodict.npy.xop_auto_import_.OnnxNonMaxSuppression_10(*args, **kwargs)#: Version

OnnxNonMaxSuppression_11#

class mlprodict.npy.xop_auto_import_.OnnxNonMaxSuppression_11(*args, **kwargs)#: Version

OnnxNonZero#

class mlprodict.npy.xop_auto_import_.OnnxNonZero(*args, **kwargs)#: Version

OnnxNonZero_13#

class mlprodict.npy.xop_auto_import_.OnnxNonZero_13(*args, **kwargs)#: Version

OnnxNonZero_9#

class mlprodict.npy.xop_auto_import_.OnnxNonZero_9(*args, **kwargs)#: Version

OnnxNot#

class mlprodict.npy.xop_auto_import_.OnnxNot(*args, **kwargs)#: Version

OnnxNot_1#

class mlprodict.npy.xop_auto_import_.OnnxNot_1(*args, **kwargs)#: Version

OnnxOneHot#

class mlprodict.npy.xop_auto_import_.OnnxOneHot(*args, **kwargs)#: Version

OnnxOneHot_11#

class mlprodict.npy.xop_auto_import_.OnnxOneHot_11(*args, **kwargs)#: Version

OnnxOneHot_9#

class mlprodict.npy.xop_auto_import_.OnnxOneHot_9(*args, **kwargs)#: Version

OnnxOptional#

class mlprodict.npy.xop_auto_import_.OnnxOptional(*args, **kwargs)#: Version

OnnxOptionalGetElement#

class mlprodict.npy.xop_auto_import_.OnnxOptionalGetElement(*args, **kwargs)#: Version

OnnxOptionalGetElement_15#

class mlprodict.npy.xop_auto_import_.OnnxOptionalGetElement_15(*args, **kwargs)#: Version

OnnxOptionalHasElement#

class mlprodict.npy.xop_auto_import_.OnnxOptionalHasElement(*args, **kwargs)#: Version

OnnxOptionalHasElement_15#

class mlprodict.npy.xop_auto_import_.OnnxOptionalHasElement_15(*args, **kwargs)#: Version

OnnxOptional_15#

class mlprodict.npy.xop_auto_import_.OnnxOptional_15(*args, **kwargs)#: Version

OnnxOr#

class mlprodict.npy.xop_auto_import_.OnnxOr(*args, **kwargs)#: Version

OnnxOr_1#

class mlprodict.npy.xop_auto_import_.OnnxOr_1(*args, **kwargs)#: Version

OnnxOr_7#

class mlprodict.npy.xop_auto_import_.OnnxOr_7(*args, **kwargs)#: Version

OnnxPRelu#

class mlprodict.npy.xop_auto_import_.OnnxPRelu(*args, **kwargs)#: Version

OnnxPRelu_1#

class mlprodict.npy.xop_auto_import_.OnnxPRelu_1(*args, **kwargs)#: Version

OnnxPRelu_16#

class mlprodict.npy.xop_auto_import_.OnnxPRelu_16(*args, **kwargs)#: Version

OnnxPRelu_6#

class mlprodict.npy.xop_auto_import_.OnnxPRelu_6(*args, **kwargs)#: Version

OnnxPRelu_7#

class mlprodict.npy.xop_auto_import_.OnnxPRelu_7(*args, **kwargs)#: Version

OnnxPRelu_9#

class mlprodict.npy.xop_auto_import_.OnnxPRelu_9(*args, **kwargs)#: Version

OnnxPad#

class mlprodict.npy.xop_auto_import_.OnnxPad(*args, **kwargs)#: Version

OnnxPad_1#

class mlprodict.npy.xop_auto_import_.OnnxPad_1(*args, **kwargs)#: Version

OnnxPad_11#

class mlprodict.npy.xop_auto_import_.OnnxPad_11(*args, **kwargs)#: Version

OnnxPad_13#

class mlprodict.npy.xop_auto_import_.OnnxPad_13(*args, **kwargs)#: Version

OnnxPad_2#

class mlprodict.npy.xop_auto_import_.OnnxPad_2(*args, **kwargs)#: Version

OnnxPow#

class mlprodict.npy.xop_auto_import_.OnnxPow(*args, **kwargs)#: Version

OnnxPow_1#

class mlprodict.npy.xop_auto_import_.OnnxPow_1(*args, **kwargs)#: Version

OnnxPow_12#

class mlprodict.npy.xop_auto_import_.OnnxPow_12(*args, **kwargs)#: Version

OnnxPow_13#

class mlprodict.npy.xop_auto_import_.OnnxPow_13(*args, **kwargs)#: Version

OnnxPow_15#

class mlprodict.npy.xop_auto_import_.OnnxPow_15(*args, **kwargs)#: Version

OnnxPow_7#

class mlprodict.npy.xop_auto_import_.OnnxPow_7(*args, **kwargs)#: Version

OnnxQLinearConv#

class mlprodict.npy.xop_auto_import_.OnnxQLinearConv(*args, **kwargs)#: Version

OnnxQLinearConv_10#

class mlprodict.npy.xop_auto_import_.OnnxQLinearConv_10(*args, **kwargs)#: Version

OnnxQLinearMatMul#

class mlprodict.npy.xop_auto_import_.OnnxQLinearMatMul(*args, **kwargs)#: Version

OnnxQLinearMatMul_10#

class mlprodict.npy.xop_auto_import_.OnnxQLinearMatMul_10(*args, **kwargs)#: Version

OnnxQuantizeLinear#

class mlprodict.npy.xop_auto_import_.OnnxQuantizeLinear(*args, **kwargs)#: Version

OnnxQuantizeLinear_10#

class mlprodict.npy.xop_auto_import_.OnnxQuantizeLinear_10(*args, **kwargs)#: Version

OnnxQuantizeLinear_13#

class mlprodict.npy.xop_auto_import_.OnnxQuantizeLinear_13(*args, **kwargs)#: Version

OnnxRNN#

class mlprodict.npy.xop_auto_import_.OnnxRNN(*args, **kwargs)#: Version

OnnxRNN_1#

class mlprodict.npy.xop_auto_import_.OnnxRNN_1(*args, **kwargs)#: Version

OnnxRNN_14#

class mlprodict.npy.xop_auto_import_.OnnxRNN_14(*args, **kwargs)#: Version

OnnxRNN_7#

class mlprodict.npy.xop_auto_import_.OnnxRNN_7(*args, **kwargs)#: Version

OnnxRandomNormal#

class mlprodict.npy.xop_auto_import_.OnnxRandomNormal(*args, **kwargs)#: Version

OnnxRandomNormalLike#

class mlprodict.npy.xop_auto_import_.OnnxRandomNormalLike(*args, **kwargs)#: Version

OnnxRandomNormalLike_1#

class mlprodict.npy.xop_auto_import_.OnnxRandomNormalLike_1(*args, **kwargs)#: Version

OnnxRandomNormal_1#

class mlprodict.npy.xop_auto_import_.OnnxRandomNormal_1(*args, **kwargs)#: Version

OnnxRandomUniform#

class mlprodict.npy.xop_auto_import_.OnnxRandomUniform(*args, **kwargs)#: Version

OnnxRandomUniformLike#

class mlprodict.npy.xop_auto_import_.OnnxRandomUniformLike(*args, **kwargs)#: Version

OnnxRandomUniformLike_1#

class mlprodict.npy.xop_auto_import_.OnnxRandomUniformLike_1(*args, **kwargs)#: Version

OnnxRandomUniform_1#

class mlprodict.npy.xop_auto_import_.OnnxRandomUniform_1(*args, **kwargs)#: Version

OnnxRange#

class mlprodict.npy.xop_auto_import_.OnnxRange(*args, **kwargs)#: Version

OnnxRange_11#

class mlprodict.npy.xop_auto_import_.OnnxRange_11(*args, **kwargs)#: Version

OnnxReciprocal#

class mlprodict.npy.xop_auto_import_.OnnxReciprocal(*args, **kwargs)#: Version

OnnxReciprocal_1#

class mlprodict.npy.xop_auto_import_.OnnxReciprocal_1(*args, **kwargs)#: Version

OnnxReciprocal_13#

class mlprodict.npy.xop_auto_import_.OnnxReciprocal_13(*args, **kwargs)#: Version

OnnxReciprocal_6#

class mlprodict.npy.xop_auto_import_.OnnxReciprocal_6(*args, **kwargs)#: Version

OnnxReduceL1#

class mlprodict.npy.xop_auto_import_.OnnxReduceL1(*args, **kwargs)#: Version

OnnxReduceL1_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceL1_1(*args, **kwargs)#: Version

OnnxReduceL1_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceL1_11(*args, **kwargs)#: Version

OnnxReduceL1_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceL1_13(*args, **kwargs)#: Version

OnnxReduceL2#

class mlprodict.npy.xop_auto_import_.OnnxReduceL2(*args, **kwargs)#: Version

OnnxReduceL2_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceL2_1(*args, **kwargs)#: Version

OnnxReduceL2_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceL2_11(*args, **kwargs)#: Version

OnnxReduceL2_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceL2_13(*args, **kwargs)#: Version

OnnxReduceLogSum#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSum(*args, **kwargs)#: Version

OnnxReduceLogSumExp#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSumExp(*args, **kwargs)#: Version

OnnxReduceLogSumExp_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSumExp_1(*args, **kwargs)#: Version

OnnxReduceLogSumExp_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSumExp_11(*args, **kwargs)#: Version

OnnxReduceLogSumExp_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSumExp_13(*args, **kwargs)#: Version

OnnxReduceLogSum_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSum_1(*args, **kwargs)#: Version

OnnxReduceLogSum_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSum_11(*args, **kwargs)#: Version

OnnxReduceLogSum_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceLogSum_13(*args, **kwargs)#: Version

OnnxReduceMax#

class mlprodict.npy.xop_auto_import_.OnnxReduceMax(*args, **kwargs)#: Version

OnnxReduceMax_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceMax_1(*args, **kwargs)#: Version

OnnxReduceMax_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceMax_11(*args, **kwargs)#: Version

OnnxReduceMax_12#

class mlprodict.npy.xop_auto_import_.OnnxReduceMax_12(*args, **kwargs)#: Version

OnnxReduceMax_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceMax_13(*args, **kwargs)#: Version

OnnxReduceMean#

class mlprodict.npy.xop_auto_import_.OnnxReduceMean(*args, **kwargs)#: Version

OnnxReduceMean_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceMean_1(*args, **kwargs)#: Version

OnnxReduceMean_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceMean_11(*args, **kwargs)#: Version

OnnxReduceMean_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceMean_13(*args, **kwargs)#: Version

OnnxReduceMin#

class mlprodict.npy.xop_auto_import_.OnnxReduceMin(*args, **kwargs)#: Version

OnnxReduceMin_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceMin_1(*args, **kwargs)#: Version

OnnxReduceMin_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceMin_11(*args, **kwargs)#: Version

OnnxReduceMin_12#

class mlprodict.npy.xop_auto_import_.OnnxReduceMin_12(*args, **kwargs)#: Version

OnnxReduceMin_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceMin_13(*args, **kwargs)#: Version

OnnxReduceProd#

class mlprodict.npy.xop_auto_import_.OnnxReduceProd(*args, **kwargs)#: Version

OnnxReduceProd_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceProd_1(*args, **kwargs)#: Version

OnnxReduceProd_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceProd_11(*args, **kwargs)#: Version

OnnxReduceProd_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceProd_13(*args, **kwargs)#: Version

OnnxReduceSum#

class mlprodict.npy.xop_auto_import_.OnnxReduceSum(*args, **kwargs)#: Version

OnnxReduceSumSquare#

class mlprodict.npy.xop_auto_import_.OnnxReduceSumSquare(*args, **kwargs)#: Version

OnnxReduceSumSquare_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceSumSquare_1(*args, **kwargs)#: Version

OnnxReduceSumSquare_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceSumSquare_11(*args, **kwargs)#: Version

OnnxReduceSumSquare_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceSumSquare_13(*args, **kwargs)#: Version

OnnxReduceSum_1#

class mlprodict.npy.xop_auto_import_.OnnxReduceSum_1(*args, **kwargs)#: Version

OnnxReduceSum_11#

class mlprodict.npy.xop_auto_import_.OnnxReduceSum_11(*args, **kwargs)#: Version

OnnxReduceSum_13#

class mlprodict.npy.xop_auto_import_.OnnxReduceSum_13(*args, **kwargs)#: Version

OnnxRelu#

class mlprodict.npy.xop_auto_import_.OnnxRelu(*args, **kwargs)#: Version

OnnxRelu_1#

class mlprodict.npy.xop_auto_import_.OnnxRelu_1(*args, **kwargs)#: Version

OnnxRelu_13#

class mlprodict.npy.xop_auto_import_.OnnxRelu_13(*args, **kwargs)#: Version

OnnxRelu_14#

class mlprodict.npy.xop_auto_import_.OnnxRelu_14(*args, **kwargs)#: Version

OnnxRelu_6#

class mlprodict.npy.xop_auto_import_.OnnxRelu_6(*args, **kwargs)#: Version

OnnxReshape#

class mlprodict.npy.xop_auto_import_.OnnxReshape(*args, **kwargs)#: Version

OnnxReshape_1#

class mlprodict.npy.xop_auto_import_.OnnxReshape_1(*args, **kwargs)#: Version

OnnxReshape_13#

class mlprodict.npy.xop_auto_import_.OnnxReshape_13(*args, **kwargs)#: Version

OnnxReshape_14#

class mlprodict.npy.xop_auto_import_.OnnxReshape_14(*args, **kwargs)#: Version

OnnxReshape_5#

class mlprodict.npy.xop_auto_import_.OnnxReshape_5(*args, **kwargs)#: Version

OnnxResize#

class mlprodict.npy.xop_auto_import_.OnnxResize(*args, **kwargs)#: Version

OnnxResize_10#

class mlprodict.npy.xop_auto_import_.OnnxResize_10(*args, **kwargs)#: Version

OnnxResize_11#

class mlprodict.npy.xop_auto_import_.OnnxResize_11(*args, **kwargs)#: Version

OnnxResize_13#

class mlprodict.npy.xop_auto_import_.OnnxResize_13(*args, **kwargs)#: Version

OnnxReverseSequence#

class mlprodict.npy.xop_auto_import_.OnnxReverseSequence(*args, **kwargs)#: Version

OnnxReverseSequence_10#

class mlprodict.npy.xop_auto_import_.OnnxReverseSequence_10(*args, **kwargs)#: Version

OnnxRoiAlign#

class mlprodict.npy.xop_auto_import_.OnnxRoiAlign(*args, **kwargs)#: Version

OnnxRoiAlign_10#

class mlprodict.npy.xop_auto_import_.OnnxRoiAlign_10(*args, **kwargs)#: Version

OnnxRoiAlign_16#

class mlprodict.npy.xop_auto_import_.OnnxRoiAlign_16(*args, **kwargs)#: Version

OnnxRound#

class mlprodict.npy.xop_auto_import_.OnnxRound(*args, **kwargs)#: Version

OnnxRound_11#

class mlprodict.npy.xop_auto_import_.OnnxRound_11(*args, **kwargs)#: Version

OnnxScan#

class mlprodict.npy.xop_auto_import_.OnnxScan(*args, **kwargs)#: Version

OnnxScan_11#

class mlprodict.npy.xop_auto_import_.OnnxScan_11(*args, **kwargs)#: Version

OnnxScan_16#

class mlprodict.npy.xop_auto_import_.OnnxScan_16(*args, **kwargs)#: Version

OnnxScan_8#

class mlprodict.npy.xop_auto_import_.OnnxScan_8(*args, **kwargs)#: Version

OnnxScan_9#

class mlprodict.npy.xop_auto_import_.OnnxScan_9(*args, **kwargs)#: Version

OnnxScatter#

class mlprodict.npy.xop_auto_import_.OnnxScatter(*args, **kwargs)#: Version

OnnxScatterElements#

class mlprodict.npy.xop_auto_import_.OnnxScatterElements(*args, **kwargs)#: Version

OnnxScatterElements_11#

class mlprodict.npy.xop_auto_import_.OnnxScatterElements_11(*args, **kwargs)#: Version

OnnxScatterElements_13#

class mlprodict.npy.xop_auto_import_.OnnxScatterElements_13(*args, **kwargs)#: Version

OnnxScatterElements_16#

class mlprodict.npy.xop_auto_import_.OnnxScatterElements_16(*args, **kwargs)#: Version

OnnxScatterND#

class mlprodict.npy.xop_auto_import_.OnnxScatterND(*args, **kwargs)#: Version

OnnxScatterND_11#

class mlprodict.npy.xop_auto_import_.OnnxScatterND_11(*args, **kwargs)#: Version

OnnxScatterND_13#

class mlprodict.npy.xop_auto_import_.OnnxScatterND_13(*args, **kwargs)#: Version

OnnxScatterND_16#

class mlprodict.npy.xop_auto_import_.OnnxScatterND_16(*args, **kwargs)#: Version

OnnxScatter_11#

class mlprodict.npy.xop_auto_import_.OnnxScatter_11(*args, **kwargs)#: Version

OnnxScatter_9#

class mlprodict.npy.xop_auto_import_.OnnxScatter_9(*args, **kwargs)#: Version

OnnxSelu#

class mlprodict.npy.xop_auto_import_.OnnxSelu(*args, **kwargs)#: Version

OnnxSelu_1#

class mlprodict.npy.xop_auto_import_.OnnxSelu_1(*args, **kwargs)#: Version

OnnxSelu_6#

class mlprodict.npy.xop_auto_import_.OnnxSelu_6(*args, **kwargs)#: Version

OnnxSequenceAt#

class mlprodict.npy.xop_auto_import_.OnnxSequenceAt(*args, **kwargs)#: Version

OnnxSequenceAt_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceAt_11(*args, **kwargs)#: Version

OnnxSequenceConstruct#

class mlprodict.npy.xop_auto_import_.OnnxSequenceConstruct(*args, **kwargs)#: Version

OnnxSequenceConstruct_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceConstruct_11(*args, **kwargs)#: Version

OnnxSequenceEmpty#

class mlprodict.npy.xop_auto_import_.OnnxSequenceEmpty(*args, **kwargs)#: Version

OnnxSequenceEmpty_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceEmpty_11(*args, **kwargs)#: Version

OnnxSequenceErase#

class mlprodict.npy.xop_auto_import_.OnnxSequenceErase(*args, **kwargs)#: Version

OnnxSequenceErase_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceErase_11(*args, **kwargs)#: Version

OnnxSequenceInsert#

class mlprodict.npy.xop_auto_import_.OnnxSequenceInsert(*args, **kwargs)#: Version

OnnxSequenceInsert_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceInsert_11(*args, **kwargs)#: Version

OnnxSequenceLength#

class mlprodict.npy.xop_auto_import_.OnnxSequenceLength(*args, **kwargs)#: Version

OnnxSequenceLength_11#

class mlprodict.npy.xop_auto_import_.OnnxSequenceLength_11(*args, **kwargs)#: Version

OnnxShape#

class mlprodict.npy.xop_auto_import_.OnnxShape(*args, **kwargs)#: Version

OnnxShape_1#

class mlprodict.npy.xop_auto_import_.OnnxShape_1(*args, **kwargs)#: Version

OnnxShape_13#

class mlprodict.npy.xop_auto_import_.OnnxShape_13(*args, **kwargs)#: Version

OnnxShape_15#

class mlprodict.npy.xop_auto_import_.OnnxShape_15(*args, **kwargs)#: Version

OnnxShrink#

class mlprodict.npy.xop_auto_import_.OnnxShrink(*args, **kwargs)#: Version

OnnxShrink_9#

class mlprodict.npy.xop_auto_import_.OnnxShrink_9(*args, **kwargs)#: Version

OnnxSigmoid#

class mlprodict.npy.xop_auto_import_.OnnxSigmoid(*args, **kwargs)#: Version

OnnxSigmoid_1#

class mlprodict.npy.xop_auto_import_.OnnxSigmoid_1(*args, **kwargs)#: Version

OnnxSigmoid_13#

class mlprodict.npy.xop_auto_import_.OnnxSigmoid_13(*args, **kwargs)#: Version

OnnxSigmoid_6#

class mlprodict.npy.xop_auto_import_.OnnxSigmoid_6(*args, **kwargs)#: Version

OnnxSign#

class mlprodict.npy.xop_auto_import_.OnnxSign(*args, **kwargs)#: Version

OnnxSign_13#

class mlprodict.npy.xop_auto_import_.OnnxSign_13(*args, **kwargs)#: Version

OnnxSign_9#

class mlprodict.npy.xop_auto_import_.OnnxSign_9(*args, **kwargs)#: Version

OnnxSin#

class mlprodict.npy.xop_auto_import_.OnnxSin(*args, **kwargs)#: Version

OnnxSin_7#

class mlprodict.npy.xop_auto_import_.OnnxSin_7(*args, **kwargs)#: Version

OnnxSinh#

class mlprodict.npy.xop_auto_import_.OnnxSinh(*args, **kwargs)#: Version

OnnxSinh_9#

class mlprodict.npy.xop_auto_import_.OnnxSinh_9(*args, **kwargs)#: Version

OnnxSize#

class mlprodict.npy.xop_auto_import_.OnnxSize(*args, **kwargs)#: Version

OnnxSize_1#

class mlprodict.npy.xop_auto_import_.OnnxSize_1(*args, **kwargs)#: Version

OnnxSize_13#

class mlprodict.npy.xop_auto_import_.OnnxSize_13(*args, **kwargs)#: Version

OnnxSlice#

class mlprodict.npy.xop_auto_import_.OnnxSlice(*args, **kwargs)#: Version

OnnxSlice_1#

class mlprodict.npy.xop_auto_import_.OnnxSlice_1(*args, **kwargs)#: Version

OnnxSlice_10#

class mlprodict.npy.xop_auto_import_.OnnxSlice_10(*args, **kwargs)#: Version

OnnxSlice_11#

class mlprodict.npy.xop_auto_import_.OnnxSlice_11(*args, **kwargs)#: Version

OnnxSlice_13#

class mlprodict.npy.xop_auto_import_.OnnxSlice_13(*args, **kwargs)#: Version

OnnxSoftmax#

class mlprodict.npy.xop_auto_import_.OnnxSoftmax(*args, **kwargs)#: Version

OnnxSoftmaxCrossEntropyLoss#

class mlprodict.npy.xop_auto_import_.OnnxSoftmaxCrossEntropyLoss(*args, **kwargs)#: Version

OnnxSoftmaxCrossEntropyLoss_12#

class mlprodict.npy.xop_auto_import_.OnnxSoftmaxCrossEntropyLoss_12(*args, **kwargs)#: Version

OnnxSoftmaxCrossEntropyLoss_13#

class mlprodict.npy.xop_auto_import_.OnnxSoftmaxCrossEntropyLoss_13(*args, **kwargs)#: Version

OnnxSoftmax_1#

class mlprodict.npy.xop_auto_import_.OnnxSoftmax_1(*args, **kwargs)#: Version

OnnxSoftmax_11#

class mlprodict.npy.xop_auto_import_.OnnxSoftmax_11(*args, **kwargs)#: Version

OnnxSoftmax_13#

class mlprodict.npy.xop_auto_import_.OnnxSoftmax_13(*args, **kwargs)#: Version

OnnxSoftplus#

class mlprodict.npy.xop_auto_import_.OnnxSoftplus(*args, **kwargs)#: Version

OnnxSoftplus_1#

class mlprodict.npy.xop_auto_import_.OnnxSoftplus_1(*args, **kwargs)#: Version

OnnxSoftsign#

class mlprodict.npy.xop_auto_import_.OnnxSoftsign(*args, **kwargs)#: Version

OnnxSoftsign_1#

class mlprodict.npy.xop_auto_import_.OnnxSoftsign_1(*args, **kwargs)#: Version

OnnxSpaceToDepth#

class mlprodict.npy.xop_auto_import_.OnnxSpaceToDepth(*args, **kwargs)#: Version

OnnxSpaceToDepth_1#

class mlprodict.npy.xop_auto_import_.OnnxSpaceToDepth_1(*args, **kwargs)#: Version

OnnxSpaceToDepth_13#

class mlprodict.npy.xop_auto_import_.OnnxSpaceToDepth_13(*args, **kwargs)#: Version

OnnxSplit#

class mlprodict.npy.xop_auto_import_.OnnxSplit(*args, **kwargs)#: Version

OnnxSplitToSequence#

class mlprodict.npy.xop_auto_import_.OnnxSplitToSequence(*args, **kwargs)#: Version

OnnxSplitToSequence_11#

class mlprodict.npy.xop_auto_import_.OnnxSplitToSequence_11(*args, **kwargs)#: Version

OnnxSplit_1#

class mlprodict.npy.xop_auto_import_.OnnxSplit_1(*args, **kwargs)#: Version

OnnxSplit_11#

class mlprodict.npy.xop_auto_import_.OnnxSplit_11(*args, **kwargs)#: Version

OnnxSplit_13#

class mlprodict.npy.xop_auto_import_.OnnxSplit_13(*args, **kwargs)#: Version

OnnxSplit_2#

class mlprodict.npy.xop_auto_import_.OnnxSplit_2(*args, **kwargs)#: Version

OnnxSqrt#

class mlprodict.npy.xop_auto_import_.OnnxSqrt(*args, **kwargs)#: Version

OnnxSqrt_1#

class mlprodict.npy.xop_auto_import_.OnnxSqrt_1(*args, **kwargs)#: Version

OnnxSqrt_13#

class mlprodict.npy.xop_auto_import_.OnnxSqrt_13(*args, **kwargs)#: Version

OnnxSqrt_6#

class mlprodict.npy.xop_auto_import_.OnnxSqrt_6(*args, **kwargs)#: Version

OnnxSqueeze#

class mlprodict.npy.xop_auto_import_.OnnxSqueeze(*args, **kwargs)#: Version

OnnxSqueeze_1#

class mlprodict.npy.xop_auto_import_.OnnxSqueeze_1(*args, **kwargs)#: Version

OnnxSqueeze_11#

class mlprodict.npy.xop_auto_import_.OnnxSqueeze_11(*args, **kwargs)#: Version

OnnxSqueeze_13#

class mlprodict.npy.xop_auto_import_.OnnxSqueeze_13(*args, **kwargs)#: Version

OnnxStringNormalizer#

class mlprodict.npy.xop_auto_import_.OnnxStringNormalizer(*args, **kwargs)#: Version

OnnxStringNormalizer_10#

class mlprodict.npy.xop_auto_import_.OnnxStringNormalizer_10(*args, **kwargs)#: Version

OnnxSub#

class mlprodict.npy.xop_auto_import_.OnnxSub(*args, **kwargs)#: Version

OnnxSub_1#

class mlprodict.npy.xop_auto_import_.OnnxSub_1(*args, **kwargs)#: Version

OnnxSub_13#

class mlprodict.npy.xop_auto_import_.OnnxSub_13(*args, **kwargs)#: Version

OnnxSub_14#

class mlprodict.npy.xop_auto_import_.OnnxSub_14(*args, **kwargs)#: Version

OnnxSub_6#

class mlprodict.npy.xop_auto_import_.OnnxSub_6(*args, **kwargs)#: Version

OnnxSub_7#

class mlprodict.npy.xop_auto_import_.OnnxSub_7(*args, **kwargs)#: Version

OnnxSum#

class mlprodict.npy.xop_auto_import_.OnnxSum(*args, **kwargs)#: Version

OnnxSum_1#

class mlprodict.npy.xop_auto_import_.OnnxSum_1(*args, **kwargs)#: Version

OnnxSum_13#

class mlprodict.npy.xop_auto_import_.OnnxSum_13(*args, **kwargs)#: Version

OnnxSum_6#

class mlprodict.npy.xop_auto_import_.OnnxSum_6(*args, **kwargs)#: Version

OnnxSum_8#

class mlprodict.npy.xop_auto_import_.OnnxSum_8(*args, **kwargs)#: Version

OnnxTan#

class mlprodict.npy.xop_auto_import_.OnnxTan(*args, **kwargs)#: Version

OnnxTan_7#

class mlprodict.npy.xop_auto_import_.OnnxTan_7(*args, **kwargs)#: Version

OnnxTanh#

class mlprodict.npy.xop_auto_import_.OnnxTanh(*args, **kwargs)#: Version

OnnxTanh_1#

class mlprodict.npy.xop_auto_import_.OnnxTanh_1(*args, **kwargs)#: Version

OnnxTanh_13#

class mlprodict.npy.xop_auto_import_.OnnxTanh_13(*args, **kwargs)#: Version

OnnxTanh_6#

class mlprodict.npy.xop_auto_import_.OnnxTanh_6(*args, **kwargs)#: Version

OnnxTfIdfVectorizer#

class mlprodict.npy.xop_auto_import_.OnnxTfIdfVectorizer(*args, **kwargs)#: Version

OnnxTfIdfVectorizer_9#

class mlprodict.npy.xop_auto_import_.OnnxTfIdfVectorizer_9(*args, **kwargs)#: Version

OnnxThresholdedRelu#

class mlprodict.npy.xop_auto_import_.OnnxThresholdedRelu(*args, **kwargs)#: Version

OnnxThresholdedRelu_10#

class mlprodict.npy.xop_auto_import_.OnnxThresholdedRelu_10(*args, **kwargs)#: Version

OnnxTile#

class mlprodict.npy.xop_auto_import_.OnnxTile(*args, **kwargs)#: Version

OnnxTile_1#

class mlprodict.npy.xop_auto_import_.OnnxTile_1(*args, **kwargs)#: Version

OnnxTile_13#

class mlprodict.npy.xop_auto_import_.OnnxTile_13(*args, **kwargs)#: Version

OnnxTile_6#

class mlprodict.npy.xop_auto_import_.OnnxTile_6(*args, **kwargs)#: Version

OnnxTopK#

class mlprodict.npy.xop_auto_import_.OnnxTopK(*args, **kwargs)#: Version

OnnxTopK_1#

class mlprodict.npy.xop_auto_import_.OnnxTopK_1(*args, **kwargs)#: Version

OnnxTopK_10#

class mlprodict.npy.xop_auto_import_.OnnxTopK_10(*args, **kwargs)#: Version

OnnxTopK_11#

class mlprodict.npy.xop_auto_import_.OnnxTopK_11(*args, **kwargs)#: Version

OnnxTranspose#

class mlprodict.npy.xop_auto_import_.OnnxTranspose(*args, **kwargs)#: Version

OnnxTranspose_1#

class mlprodict.npy.xop_auto_import_.OnnxTranspose_1(*args, **kwargs)#: Version

OnnxTranspose_13#

class mlprodict.npy.xop_auto_import_.OnnxTranspose_13(*args, **kwargs)#: Version

OnnxTrilu#

class mlprodict.npy.xop_auto_import_.OnnxTrilu(*args, **kwargs)#: Version

OnnxTrilu_14#

class mlprodict.npy.xop_auto_import_.OnnxTrilu_14(*args, **kwargs)#: Version

OnnxUnique#

class mlprodict.npy.xop_auto_import_.OnnxUnique(*args, **kwargs)#: Version

OnnxUnique_11#

class mlprodict.npy.xop_auto_import_.OnnxUnique_11(*args, **kwargs)#: Version

OnnxUnsqueeze#

class mlprodict.npy.xop_auto_import_.OnnxUnsqueeze(*args, **kwargs)#: Version

OnnxUnsqueeze_1#

class mlprodict.npy.xop_auto_import_.OnnxUnsqueeze_1(*args, **kwargs)#: Version

OnnxUnsqueeze_11#

class mlprodict.npy.xop_auto_import_.OnnxUnsqueeze_11(*args, **kwargs)#: Version

OnnxUnsqueeze_13#

class mlprodict.npy.xop_auto_import_.OnnxUnsqueeze_13(*args, **kwargs)#: Version

OnnxUpsample#

class mlprodict.npy.xop_auto_import_.OnnxUpsample(*args, **kwargs)#: Version

OnnxUpsample_10#

class mlprodict.npy.xop_auto_import_.OnnxUpsample_10(*args, **kwargs)#: Version

OnnxUpsample_7#

class mlprodict.npy.xop_auto_import_.OnnxUpsample_7(*args, **kwargs)#: Version

OnnxUpsample_9#

class mlprodict.npy.xop_auto_import_.OnnxUpsample_9(*args, **kwargs)#: Version

OnnxWhere#

class mlprodict.npy.xop_auto_import_.OnnxWhere(*args, **kwargs)#: Version

OnnxWhere_16#

class mlprodict.npy.xop_auto_import_.OnnxWhere_16(*args, **kwargs)#: Version

OnnxWhere_9#

class mlprodict.npy.xop_auto_import_.OnnxWhere_9(*args, **kwargs)#: Version

OnnxXor#

class mlprodict.npy.xop_auto_import_.OnnxXor(*args, **kwargs)#: Version

OnnxXor_1#

class mlprodict.npy.xop_auto_import_.OnnxXor_1(*args, **kwargs)#: Version

OnnxXor_7#

class mlprodict.npy.xop_auto_import_.OnnxXor_7(*args, **kwargs)#: Version

Xop API

AST