Methods

Summary

method	class parent	truncated documentation
__abs__	OnnxOperator	Automatically adds operator OnnxAbs to the graph.
__abs__	OnnxOperatorFunction	Automatically adds operator OnnxAbs to the graph.
__add__	OnnxVar	Addition.
__add__	OnnxOperator	Automatically adds operator OnnxAdd to the graph.
__add__	OnnxOperatorFunction	Automatically adds operator OnnxAdd to the graph.
__add__	DimensionObject	usual
__and__	OnnxVar	And.
__call__	OnnxNumpyCompiler	Executes the function and returns the results.
__call__	OnnxNumpyFunctionInferenceSession
__call__	OnnxNumpyFunctionOnnxInference
__call__	wrapper_onnxnumpy	Calls the compiled function with arguments args.
__call__	wrapper_onnxnumpy_np	Calls the compiled function assuming the type of the first tensor in args defines the templated version of the …
__call__	OnnxOperator	Creates an instance of class OnnxOperatorFunction. Equivalent to OnnxOperatorFunction(proto, *args, **kwargs). …
__call__	OnnxOperatorFunction	Creates an instance of class OnnxOperatorFunction. Equivalent to OnnxOperatorFunction(proto, *args, **kwargs). …
__call__	tf_op
__call__	CachedEinsum	Calls the runtime self.runtime_.
__contains__	ZipMapDictionary
__contains__	ShapeContainer	Operator in.
__contains__	ShapeConstraintList
__eq__	OnnxVar	Equality.
__eq__	OnnxOperator	Automatically adds operator OnnxEqual to the graph.
__eq__	OnnxOperatorFunction	Automatically adds operator OnnxEqual to the graph.
__eq__	Variable	Compares every attributes.
__eq__	ShapeConstraint	usual
__eq__	ShapeResult	Tells if two shapes are identical.
__eq__	DimensionObject	usual
__eq__	ShapeObject	Tests equality between two shapes.
__eq__	ShapeObjectFct	Tests equality between two shapes.
__floordiv__	OnnxVar	Division, no difference between / and //.
__ge__	OnnxVar	Greater or Equal.
__getattr__	OnnxLoadFactory	Enables expressions such as:
__getitem__	wrapper_onnxnumpy_np	Returns the instance of wrapper_onnxnumpy mapped to dtype.
__getitem__	MultiOnnxVar	Returns the ith elements.
__getitem__	OnnxVar	Deals with multiple scenarios.
__getitem__	OnnxOperator	Returns an accessor to one of the output of this node.
__getitem__	OnnxOperatorFunction	Returns an accessor to one of the output of this node.
__getitem__	OnnxOperatorTuple	usual
__getitem__	OnnxInference	Returns the ONNX verions of a node.
__getitem__	ArrayZipMapDictionary
__getitem__	ZipMapDictionary	Returns the item mapped to keys.
__getitem__	ShapeContainer	Retrieves one shape from its name.
__getitem__	ShapeObject	Extracts a specific dimension.
__getitem__	ShapeObjectFct	Extracts a specific dimension.
__getitem__	BiGraph	Returns a vertex is key is a string or an edge if it is a tuple.
__getstate__	OnnxNumpyCompiler	Serializes everything but function fct_. Function fct_ is used to build the onnx graph and is not needed …
__getstate__	wrapper_onnxnumpy	Serializes everything but the function which generates the ONNX graph, not needed anymore.
__getstate__	wrapper_onnxnumpy_np	Serializes everything but the function which generates the ONNX graph, not needed anymore.
__getstate__	OnnxInference	To pickle the object.
__getstate__	ZipMapDictionary	For pickle.
__getstate__	OnnxSpeedupClassifier	pickle does not support functions. This method removes any link to function when the runtime is …
__getstate__	OnnxSpeedupCluster	pickle does not support functions. This method removes any link to function when the runtime is …
__getstate__	OnnxSpeedupRegressor	pickle does not support functions. This method removes any link to function when the runtime is …
__getstate__	OnnxSpeedupTransformer	pickle does not support functions. This method removes any link to function when the runtime is …
__getstate__	_OnnxPipelineStepSpeedup	pickle does not support functions. This method removes any link to function when the runtime is …
__getstate__	GPT2TokenizerTransformer
__getstate__	SentencePieceTokenizerTransformer
__getstate__	TokenizerTransformerBase
__gt__	OnnxVar	Greater.
__gt__	OnnxOperator	Automatically adds operator OnnxGreater to the graph.
__gt__	OnnxOperatorFunction	Automatically adds operator OnnxGreater to the graph.
__gt__	DimensionObject	usual
__gt__	ShapeObject	Compares shapes. Operator >.
__gt__	ShapeObjectFct	Compares shapes. Operator >.
__init__	MLAction
__init__	MLActionBinary
__init__	MLActionCast
__init__	MLActionConcat
__init__	MLActionCst
__init__	MLActionFunction
__init__	MLActionFunctionCall
__init__	MLActionIfElse
__init__	MLActionReturn
__init__	MLActionUnary
__init__	MLActionVar
__init__	MLActionAdd
__init__	MLActionSign
__init__	MLActionTestEqual
__init__	MLActionTestInf
__init__	MLActionTensorAdd
__init__	MLActionTensorDiv
__init__	MLActionTensorDot
__init__	MLActionTensorMul
__init__	MLActionTensorSub
__init__	MLActionTensorTake
__init__	MLActionTensorVector
__init__	MLModel
__init__	MLNumTypeBool
__init__	MLNumTypeFloat32
__init__	MLNumTypeFloat64
__init__	MLNumTypeInt32
__init__	MLNumTypeInt64
__init__	MLNumTypeSingle
__init__	MLTensor
__init__	AttributeGraph
__init__	OnnxVarGraph
__init__	if_then_else
__init__	NDArraySameType
__init__	NDArraySameTypeSameShape
__init__	NDArrayType
__init__	NDArrayTypeSameShape
__init__	_NDArrayAlias	constructor
__init__	OnnxNumpyCompiler
__init__	OnnxNumpyFunction
__init__	OnnxNumpyFunctionInferenceSession
__init__	OnnxNumpyFunctionOnnxInference
__init__	_created_classes
__init__	wrapper_onnxnumpy
__init__	wrapper_onnxnumpy_np
__init__	MultiOnnxVar	constructor
__init__	OnnxVar
__init__	OnnxLoadFactory
__init__	OnnxOperator
__init__	OnnxOperatorBase
__init__	OnnxOperatorFunction
__init__	OnnxOperatorItem
__init__	OnnxOperatorTuple
__init__	_GraphBuilder
__init__	OnnxSubEstimator
__init__	OnnxSubOnnx
__init__	DetectedVariable
__init__	InputDetectedVariable
__init__	NodeResultName
__init__	OutputDetectedVariable
__init__	Variable
__init__	OnnxComplexAbs_1
__init__	OnnxComplexAbs_1
__init__	OnnxFFT2D_1
__init__	OnnxFFT2D_1
__init__	OnnxFFT_1
__init__	OnnxFFT_1
__init__	OnnxRFFT_1
__init__	OnnxRFFT_1
__init__	OnnxBroadcastGradientArgs_1
__init__	OnnxBroadcastGradientArgs_1
__init__	OnnxFusedMatMul_1
__init__	OnnxFusedMatMul_1
__init__	OnnxSoftmaxGrad_13
__init__	OnnxSoftmaxGrad_13
__init__	OnnxYieldOp_1
__init__	OnnxYieldOp_1
__init__	OnnxTokenizer_1
__init__	OnnxTokenizer_1
__init__	MockWrappedLightGbmBoosterClassifier
__init__	WrappedLightGbmBooster
__init__	WrappedLightGbmBoosterClassifier
__init__	CustomScorerTransform
__init__	NumpyCode
__init__	GraphBuilder
__init__	Tf2OnnxConvert
__init__	tf_op
__init__	CodeNodeVisitor
__init__	CodeTranslator
__init__	OnnxTranslator
__init__	OnnxInferenceBackendRep
__init__	_CombineModels
__init__	NewOperatorSchema
__init__	OnnxInference
__init__	OnnxInferenceExport
__init__	OnnxInferenceNode
__init__	OnnxMicroRuntime
__init__	OnnxShapeInference
__init__	OperatorSchema
__init__	OpRun
__init__	OpRunArg
__init__	OpRunBinary
__init__	OpRunBinaryComparison
__init__	OpRunBinaryNum
__init__	OpRunBinaryNumpy
__init__	OpRunClassifierProb
__init__	OpRunCustom
__init__	OpRunReduceNumpy
__init__	OpRunUnary
__init__	OpRunUnaryNum
__init__	Abs
__init__	Acos
__init__	Acosh
__init__	Add	constructor
__init__	And
__init__	ArgMax_11
__init__	ArgMax_12
__init__	ArgMax_12
__init__	_ArgMax
__init__	ArgMin_11
__init__	ArgMin_12
__init__	ArgMin_12
__init__	_ArgMin
__init__	ArrayFeatureExtractor
__init__	Asin
__init__	Asinh
__init__	Atan
__init__	Atanh
__init__	AveragePool
__init__	BatchNormalization_14
__init__	BatchNormalization_14
__init__	BatchNormalization_9
__init__	Binarizer
__init__	BitShift	constructor
__init__	BroadcastGradientArgs
__init__	BroadcastGradientArgsSchema
__init__	Cast
__init__	CastLike
__init__	CategoryMapper
__init__	CDist
__init__	CDistSchema
__init__	Ceil
__init__	Celu
__init__	Clip_11
__init__	Clip_11
__init__	Clip_6
__init__	ComplexAbs
__init__	ComplexAbsSchema
__init__	Compress
__init__	Concat
__init__	ConcatFromSequence
__init__	Constant_11
__init__	Constant_12
__init__	Constant_12
__init__	Constant_9
__init__	ConstantOfShape
__init__	Conv
__init__	ConvTranspose
__init__	Cos
__init__	Cosh
__init__	CumSum
__init__	DEBUG
__init__	DEBUGSchema
__init__	DequantizeLinear
__init__	Det
__init__	DictVectorizer
__init__	Div
__init__	DropoutBase
__init__	Dropout_12
__init__	Dropout_12
__init__	Dropout_7
__init__	Einsum
__init__	Elu
__init__	Equal
__init__	Erf
__init__	Exp
__init__	CommonExpand
__init__	Expand_13
__init__	Expand_13
__init__	EyeLike
__init__	FeatureVectorizer
__init__	FFT
__init__	FFTSchema
__init__	FFT2D
__init__	FFT2DSchema
__init__	Flatten
__init__	Floor
__init__	FusedMatMul
__init__	FusedMatMulSchema
__init__	Gather
__init__	GatherElements
__init__	Gemm
__init__	GlobalAveragePool
__init__	Greater
__init__	GreaterOrEqual
__init__	HardSigmoid
__init__	Hardmax
__init__	Identity
__init__	If
__init__	Imputer
__init__	IsInf
__init__	IsNaN
__init__	LabelEncoder
__init__	LeakyRelu
__init__	Less
__init__	LessOrEqual
__init__	LinearClassifier
__init__	LinearRegressor
__init__	Log
__init__	LogSoftmax
__init__	Loop
__init__	LpNormalization
__init__	MatMul
__init__	Max
__init__	MaxPool
__init__	Mean
__init__	Min
__init__	Mod
__init__	Mul
__init__	Neg
__init__	NegativeLogLikelihoodLoss
__init__	Normalizer
__init__	Not
__init__	OneHotEncoder
__init__	Or
__init__	Pad
__init__	Pow
__init__	PRelu
__init__	QLinearConv
__init__	QuantizeLinear
__init__	Bernoulli
__init__	RandomNormal
__init__	RandomNormalLike
__init__	RandomUniform
__init__	RandomUniformLike
__init__	_CommonRandom
__init__	Range
__init__	Reciprocal
__init__	ReduceL1
__init__	ReduceL2
__init__	ReduceLogSum
__init__	ReduceLogSumExp
__init__	ReduceMax
__init__	ReduceMean
__init__	ReduceMin
__init__	ReduceProd
__init__	ReduceSum_1
__init__	ReduceSum_11
__init__	ReduceSum_13
__init__	ReduceSum_13
__init__	ReduceSumSquare
__init__	Relu
__init__	CommonReshape
__init__	Reshape_13
__init__	Reshape_14
__init__	Reshape_14
__init__	Reshape_5
__init__	RFFT
__init__	RFFTSchema
__init__	CommonRNN
__init__	RNN_14
__init__	RNN_14
__init__	RNN_7
__init__	Round
__init__	Scaler
__init__	Scan
__init__	ScatterElements
__init__	Selu
__init__	SequenceAt
__init__	SequenceConstruct
__init__	SequenceInsert
__init__	Shape
__init__	Sigmoid
__init__	Sign
__init__	Sin
__init__	Sinh
__init__	Size
__init__	SliceCommon
__init__	Slice_1
__init__	Slice_10
__init__	Slice_10
__init__	Softmax
__init__	SoftmaxGradSchema
__init__	SoftmaxGrad_13
__init__	SoftmaxGrad_13
__init__	SoftmaxCrossEntropyLoss
__init__	Solve
__init__	SolveSchema
__init__	CommonSplit
__init__	Split_11
__init__	Split_13
__init__	Split_13
__init__	Split_2
__init__	Sqrt
__init__	Squeeze_1
__init__	Squeeze_11
__init__	Squeeze_13
__init__	Squeeze_13
__init__	StringNormalizer
__init__	Sub
__init__	Sum
__init__	SVMClassifier
__init__	SVMClassifierCommon
__init__	SVMClassifierDouble
__init__	SVMClassifierDoubleSchema
__init__	SVMRegressor
__init__	SVMRegressorCommon
__init__	SVMRegressorDouble
__init__	SVMRegressorDoubleSchema
__init__	Tan
__init__	Tanh
__init__	TfIdfVectorizer
__init__	Tokenizer
__init__	TokenizerSchema
__init__	TopK_1
__init__	TopK_10
__init__	TopK_11
__init__	TopK_11
__init__	_CommonTopK
__init__	Transpose
__init__	TreeEnsembleClassifierCommon
__init__	TreeEnsembleClassifierDouble
__init__	TreeEnsembleClassifierDoubleSchema
__init__	TreeEnsembleClassifier_1
__init__	TreeEnsembleClassifier_3
__init__	TreeEnsembleClassifier_3
__init__	TreeEnsembleRegressorCommon
__init__	TreeEnsembleRegressorDouble
__init__	TreeEnsembleRegressorDoubleSchema
__init__	TreeEnsembleRegressor_1
__init__	TreeEnsembleRegressor_3
__init__	TreeEnsembleRegressor_3
__init__	Trilu
__init__	Unsqueeze_1
__init__	Unsqueeze_11
__init__	Unsqueeze_13
__init__	Unsqueeze_13
__init__	Where
__init__	Xor
__init__	YieldOp
__init__	YieldOpSchema
__init__	ArrayZipMapDictionary
__init__	ZipMap
__init__	ZipMapDictionary
__init__	OpRunOnnxEmpty
__init__	OpRunOnnxRuntime
__init__	ShapeContainer
__init__	ShapeConstraint
__init__	ShapeConstraintList
__init__	ShapeResult
__init__	OnnxWholeSession
__init__	DimensionObject
__init__	ShapeBinaryFctOperator
__init__	ShapeBinaryOperator
__init__	ShapeObject
__init__	ShapeObjectFct
__init__	ShapeOperator
__init__	ShapeOperatorAdd
__init__	ShapeOperatorGreater
__init__	ShapeOperatorMax
__init__	ShapeOperatorMul
__init__	SimplifiedOnnxInference
__init__	RuntimeBadResultsError
__init__	OnnxPipeline
__init__	OnnxSpeedupClassifier
__init__	OnnxSpeedupCluster
__init__	OnnxSpeedupRegressor
__init__	OnnxSpeedupTransformer
__init__	_OnnxPipelineStepSpeedup
__init__	GPT2TokenizerTransformer
__init__	SentencePieceTokenizerTransformer
__init__	TokenizerTransformerBase
__init__	OnnxTransformer
__init__	CachedEinsum
__init__	EinsumSubOp
__init__	GraphEinsumSubOp
__init__	OnnxBackendTest
__init__	QuantizedBiasTensor
__init__	QuantizedTensor	constructor
__init__	InferenceSession2	Overwrites the constructor.
__init__	MockVariableName
__init__	MockVariableNameShape
__init__	MockVariableNameShapeType
__init__	CodeNodeVisitor
__init__	AdjacencyGraphDisplay
__init__	BiGraph
__init__	InferenceSession
__invert__	OnnxVar	not.
__iter__	OnnxOperator	Allows expressions such as a, b = OnnxTopK(...).
__iter__	OnnxOperatorFunction	Allows expressions such as a, b = OnnxTopK(...).
__iter__	OnnxOperatorTuple	Iterates on the outputs.
__iter__	ArrayZipMapDictionary
__iter__	ZipMapDictionary
__iter__	ShapeConstraintList
__iter__	ShapeObject	Iterators over dimensions.
__iter__	ShapeObjectFct	Iterators over dimensions.
__iter__	GraphEinsumSubOp	Iterates on nodes.
__iter__	AdjacencyGraphDisplay	Iterates over actions.
__iter__	BiGraph	Iterates over all vertices and edges. It produces 3-uples:
__le__	OnnxVar	Less or Equal.
__len__	FctVersion	Returns the sum of lengths.
__len__	OnnxOperatorTuple	usual
__len__	ArrayZipMapDictionary
__len__	ZipMapDictionary	Returns the number of items.
__len__	ShapeContainer	usual
__len__	ShapeConstraintList
__len__	ShapeObject	Returns the number of dimensions.
__len__	ShapeObjectFct	Returns the number of dimensions.
__len__	OnnxBackendTest	Returns the number of tests.
__lt__	OnnxVar	Less.
__lt__	OnnxOperator	Automatically adds operator OnnxLess to the graph.
__lt__	OnnxOperatorFunction	Automatically adds operator OnnxLess to the graph.
__matmul__	OnnxVar	Matrix multiplication.
__matmul__	OnnxOperator	Automatically adds operator OnnxMatMul to the graph.
__matmul__	OnnxOperatorFunction	Automatically adds operator OnnxMatMul to the graph.
__mod__	OnnxVar	Modulo.
__mod__	OnnxOperator	Automatically adds operator OnnxMod to the graph.
__mod__	OnnxOperatorFunction	Automatically adds operator OnnxMod to the graph.
__mul__	OnnxVar	Multiplication.
__mul__	OnnxOperator	Automatically adds operator OnnxMul to the graph.
__mul__	OnnxOperatorFunction	Automatically adds operator OnnxMul to the graph.
__mul__	DimensionObject	usual
__ne__	OnnxVar	Difference.
__ne__	OnnxOperator	Automatically adds operator OnnxNot x OnnxEqual to the graph.
__ne__	OnnxOperatorFunction	Automatically adds operator OnnxNot x OnnxEqual to the graph.
__neg__	OnnxVar	Neg.
__or__	OnnxVar	And.
__pow__	OnnxVar	Power.
__pow__	OnnxOperator	Automatically adds operator OnnxPow to the graph.
__pow__	OnnxOperatorFunction	Automatically adds operator OnnxPow to the graph.
__radd__	OnnxVar	Right Addition.
__repr__	AttributeGraph	usual
__repr__	if_then_else	usual
__repr__	NDArraySameType	usual
__repr__	NDArraySameTypeSameShape	usual
__repr__	NDArrayType	usual
__repr__	NDArrayTypeSameShape	usual
__repr__	_NDArrayAlias	usual
__repr__	OnnxNumpyCompiler	usual
__repr__	OnnxVar	usual
__repr__	FctVersion	usual
__repr__	OnnxOperator	usual
__repr__	OnnxOperatorFunction	usual
__repr__	OnnxOperatorItem	usual
__repr__	OnnxOperatorTuple	usual
__repr__	OnnxSubEstimator	usual
__repr__	OnnxSubOnnx	usual
__repr__	DetectedVariable	usual
__repr__	InputDetectedVariable	usual
__repr__	NodeResultName	Usual
__repr__	OutputDetectedVariable	usual
__repr__	Variable	usual
__repr__	CustomScorerTransform
__repr__	OnnxInference	usual
__repr__	OnnxInferenceNode	usual
__repr__	OnnxShapeInference	Usual
__repr__	ShapeContainer	usual
__repr__	ShapeConstraint	usual
__repr__	ShapeConstraintList
__repr__	ShapeResult	Usual
__repr__	DimensionObject	usual
__repr__	ShapeBinaryFctOperator	usual
__repr__	ShapeBinaryOperator	usual
__repr__	ShapeObject	usual
__repr__	ShapeObjectFct	usual
__repr__	ShapeOperator	usual
__repr__	ShapeOperatorAdd	Displays a string.
__repr__	ShapeOperatorGreater	Displays a string.
__repr__	ShapeOperatorMax	Displays a string.
__repr__	ShapeOperatorMul	Displays a string.
__repr__	OnnxTransformer	usual
__repr__	CachedEinsum	usual
__repr__	EinsumSubOp
__repr__	OnnxBackendTest	usual
__rmul__	OnnxVar	Right multiplication.
__rsub__	OnnxVar	Right subtraction.
__rtruediv__	OnnxVar	Division, no difference between / and //.
__setitem__	OnnxVar	Only supports vectors (1D tensor).
__setitem__	ArrayZipMapDictionary
__setitem__	ZipMapDictionary	unused but used by pickle
__setitem__	ShapeObject	Changes a specific dimension.
__setitem__	ShapeObjectFct	Changes a specific dimension.
__setstate__	OnnxNumpyCompiler	Restores serialized data.
__setstate__	wrapper_onnxnumpy	Serializes everything but the function which generates the ONNX graph, not needed anymore.
__setstate__	wrapper_onnxnumpy_np	Restores serialized data.
__setstate__	OnnxInference	To unpickle the object.
__setstate__	ZipMapDictionary	For pickle.
__setstate__	OnnxSpeedupClassifier	pickle does not support functions. This method restores the function created when the runtime is …
__setstate__	OnnxSpeedupCluster	pickle does not support functions. This method restores the function created when the runtime is …
__setstate__	OnnxSpeedupRegressor	pickle does not support functions. This method restores the function created when the runtime is …
__setstate__	OnnxSpeedupTransformer	pickle does not support functions. This method restores the function created when the runtime is …
__setstate__	_OnnxPipelineStepSpeedup	pickle does not support functions. This method restores the function created when the runtime is …
__setstate__	GPT2TokenizerTransformer
__setstate__	SentencePieceTokenizerTransformer
__setstate__	TokenizerTransformerBase
__str__	OnnxOperatorItem	usual
__str__	OnnxInference	usual
__str__	OnnxInferenceNode	usual
__str__	OpRun	usual
__str__	OpRunArg	usual
__str__	OpRunBinary	usual
__str__	OpRunBinaryComparison	usual
__str__	OpRunBinaryNum	usual
__str__	OpRunBinaryNumpy	usual
__str__	OpRunClassifierProb	usual
__str__	OpRunCustom	usual
__str__	OpRunReduceNumpy	usual
__str__	OpRunUnary	usual
__str__	OpRunUnaryNum	usual
__str__	ArrayZipMapDictionary
__str__	ZipMapDictionary
__str__	ShapeContainer	Displays.
__str__	AdjacencyGraphDisplay	usual
__str__	BiGraph	usual
__sub__	OnnxVar	Subtraction.
__sub__	OnnxOperator	Automatically adds operator OnnxSub to the graph.
__sub__	OnnxOperatorFunction	Automatically adds operator OnnxSub to the graph.
__truediv__	OnnxVar	Division, no difference between / and //.
__truediv__	OnnxOperator	Automatically adds operator OnnxDiv to the graph.
__truediv__	OnnxOperatorFunction	Automatically adds operator OnnxDiv to the graph.
_add_name	_GraphBuilder
_add_node_name	Tf2OnnxConvert	Registers an object in in the graph by its name.
_apply_batch_dot	EinsumSubOp
_apply_diagonal	EinsumSubOp
_apply_expand_dims	EinsumSubOp
_apply_id	EinsumSubOp
_apply_matmul	EinsumSubOp
_apply_mul	EinsumSubOp
_apply_reduce_sum	EinsumSubOp
_apply_reduce_sum_mm	EinsumSubOp
_apply_squeeze	EinsumSubOp
_apply_transpose	EinsumSubOp
_apply_transpose_mm	EinsumSubOp
_build_compile_run	OnnxInference	Rewrite the run function in python, compiles it, and adds it as a method.
_build_onnx_runtime	OnnxSpeedupClassifier	Returns an instance of OnnxTransformer which executes the ONNX graph.
_build_onnx_runtime	OnnxSpeedupCluster	Returns an instance of OnnxTransformer which executes the ONNX graph.
_build_onnx_runtime	OnnxSpeedupRegressor	Returns an instance of OnnxTransformer which executes the ONNX graph.
_build_onnx_runtime	OnnxSpeedupTransformer	Returns an instance of OnnxTransformer which executes the ONNX graph.
_build_onnx_runtime	_OnnxPipelineStepSpeedup	Returns an instance of OnnxTransformer which executes the ONNX graph.
_build_onnx_runtime_numpy	OnnxSpeedupClassifier	Builds a runtime based on numpy. Exports the ONNX graph into python code based on numpy and then dynamically …
_build_onnx_runtime_numpy	OnnxSpeedupCluster	Builds a runtime based on numpy. Exports the ONNX graph into python code based on numpy and then dynamically …
_build_onnx_runtime_numpy	OnnxSpeedupRegressor	Builds a runtime based on numpy. Exports the ONNX graph into python code based on numpy and then dynamically …
_build_onnx_runtime_numpy	OnnxSpeedupTransformer	Builds a runtime based on numpy. Exports the ONNX graph into python code based on numpy and then dynamically …
_build_onnx_runtime_numpy	_OnnxPipelineStepSpeedup	Builds a runtime based on numpy. Exports the ONNX graph into python code based on numpy and then dynamically …
_build_onnx_runtime_numpy_compile	OnnxSpeedupClassifier	Second part of _build_onnx_runtime_numpy().
_build_onnx_runtime_numpy_compile	OnnxSpeedupCluster	Second part of _build_onnx_runtime_numpy().
_build_onnx_runtime_numpy_compile	OnnxSpeedupRegressor	Second part of _build_onnx_runtime_numpy().
_build_onnx_runtime_numpy_compile	OnnxSpeedupTransformer	Second part of _build_onnx_runtime_numpy().
_build_onnx_runtime_numpy_compile	_OnnxPipelineStepSpeedup	Second part of _build_onnx_runtime_numpy().
_build_optimize	CachedEinsum
_build_optimize_ml	CachedEinsum
_build_runtime	OnnxNumpyCompiler	Creates the runtime for the ONNX graph.
_byref_c	MLNumTypeBool
_byref_c	MLNumTypeFloat32
_byref_c	MLNumTypeFloat64
_byref_c	MLNumTypeInt32
_byref_c	MLNumTypeInt64
_byref_c	MLNumTypeSingle
_byref_c	MLTensor
_check	OnnxOperator
_check	OnnxOperatorFunction
_check_	OnnxNumpyFunction
_check_	OnnxNumpyFunctionInferenceSession
_check_	OnnxNumpyFunctionOnnxInference
_check_	FctVersion
_check_	EinsumSubOp
_check_arg_	EinsumSubOp
_check_arrays	OnnxTransformer	Ensures that double floats are converted into single floats if enforce_float32 is True or raises an exception. …
_check_fitted_	OnnxSpeedupClassifier
_check_fitted_	OnnxSpeedupCluster
_check_fitted_	OnnxSpeedupRegressor
_check_fitted_	OnnxSpeedupTransformer
_check_fitted_	_OnnxPipelineStepSpeedup
_check_inputs_	EinsumSubOp
_check_onnx_opset_	EinsumSubOp
_check_row_	EinsumSubOp	Checks input or output is valid.
_check_rt	_CommonAsvSklBenchmark	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkClassifier	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkClassifierRawScore	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkClustering	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkMultiClassifier	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkOutlier	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkRegressor	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkTrainableTransform	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkTransform	Checks that runtime has the appropriate method.
_check_rt	_CommonAsvSklBenchmarkTransformPositive	Checks that runtime has the appropriate method.
_check_shape_	EinsumSubOp
_common_run	TopK_1	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_common_run	TopK_10	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_common_run	TopK_11	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_common_run	TopK_11	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_common_run	_CommonTopK	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_common_run_shape	Scan
_compare_results	OnnxBackendTest	Compares the expected output and the output produced by the runtime. Raises an exception if not equal.
_compute_output_row_batch_dot	EinsumSubOp
_compute_output_row_diagonal	EinsumSubOp
_compute_output_row_expand_dims	EinsumSubOp
_compute_output_row_id	EinsumSubOp
_compute_output_row_matmul	EinsumSubOp
_compute_output_row_mul	EinsumSubOp
_compute_output_row_reduce_sum	EinsumSubOp
_compute_output_row_reduce_sum_mm	EinsumSubOp
_compute_output_row_squeeze	EinsumSubOp
_compute_output_row_transpose	EinsumSubOp
_compute_output_row_transpose_mm	EinsumSubOp
_convert_to_attribute	GraphBuilder
_convert_to_input	GraphBuilder	in ONNX, input shold come from node, so it must be a string
_copy_c	MLNumType
_copy_c	MLNumTypeBool
_copy_c	MLNumTypeFloat32
_copy_c	MLNumTypeFloat64
_copy_c	MLNumTypeInt32
_copy_c	MLNumTypeInt64
_copy_c	MLNumTypeSingle
_copy_c	MLTensor
_create_model	_CommonAsvSklBenchmark
_create_model	_CommonAsvSklBenchmarkClassifier
_create_model	_CommonAsvSklBenchmarkClassifierRawScore
_create_model	_CommonAsvSklBenchmarkClustering
_create_model	_CommonAsvSklBenchmarkMultiClassifier
_create_model	_CommonAsvSklBenchmarkOutlier
_create_model	_CommonAsvSklBenchmarkRegressor
_create_model	_CommonAsvSklBenchmarkTrainableTransform
_create_model	_CommonAsvSklBenchmarkTransform
_create_model	_CommonAsvSklBenchmarkTransformPositive
_create_model	TemplateBenchmarkClassifier
_create_model	TemplateBenchmarkClassifierRawScore
_create_model	TemplateBenchmarkClustering
_create_model	TemplateBenchmarkMultiClassifier
_create_model	TemplateBenchmarkOutlier
_create_model	TemplateBenchmarkRegressor
_create_model	TemplateBenchmarkTrainableTransform
_create_model	TemplateBenchmarkTransform
_create_model	TemplateBenchmarkTransformPositive
_create_onnx_and_runtime	_CommonAsvSklBenchmark
_create_onnx_and_runtime	_CommonAsvSklBenchmarkClassifier
_create_onnx_and_runtime	_CommonAsvSklBenchmarkClassifierRawScore
_create_onnx_and_runtime	_CommonAsvSklBenchmarkClustering
_create_onnx_and_runtime	_CommonAsvSklBenchmarkMultiClassifier
_create_onnx_and_runtime	_CommonAsvSklBenchmarkOutlier
_create_onnx_and_runtime	_CommonAsvSklBenchmarkRegressor
_create_onnx_and_runtime	_CommonAsvSklBenchmarkTrainableTransform
_create_onnx_and_runtime	_CommonAsvSklBenchmarkTransform
_create_onnx_and_runtime	_CommonAsvSklBenchmarkTransformPositive
_create_onnx_inference	_CommonAsvSklBenchmark
_create_onnx_inference	_CommonAsvSklBenchmarkClassifier
_create_onnx_inference	_CommonAsvSklBenchmarkClassifierRawScore
_create_onnx_inference	_CommonAsvSklBenchmarkClustering
_create_onnx_inference	_CommonAsvSklBenchmarkMultiClassifier
_create_onnx_inference	_CommonAsvSklBenchmarkOutlier
_create_onnx_inference	_CommonAsvSklBenchmarkRegressor
_create_onnx_inference	_CommonAsvSklBenchmarkTrainableTransform
_create_onnx_inference	_CommonAsvSklBenchmarkTransform
_create_onnx_inference	_CommonAsvSklBenchmarkTransformPositive
_custom_op	OnnxVar	This could be handled before a call to this method but this method can change the conversion of an non-existing …
_custom_op_filter	OnnxVar	This could be handled before a call to this method but this method can change the conversion of an non-existing …
_dtype	Bernoulli
_dtype	RandomNormal
_dtype	RandomNormalLike
_dtype	RandomUniform
_dtype	RandomUniformLike
_dtype	_CommonRandom
_evaluate_string_	ShapeBinaryFctOperator	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeBinaryOperator	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeOperator	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeOperatorAdd	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeOperatorGreater	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeOperatorMax	Evalutes the operator assuming some of them are still strings.
_evaluate_string_	ShapeOperatorMul	Evalutes the operator assuming some of them are still strings.
_export_c	MLNumTypeBool
_export_c	MLNumTypeFloat32
_export_c	MLNumTypeFloat64
_export_c	MLNumTypeInt32
_export_c	MLNumTypeInt64
_export_c	MLNumTypeSingle
_export_c	MLTensor
_export_common_c	MLNumTypeBool
_export_common_c	MLNumTypeFloat32
_export_common_c	MLNumTypeFloat64
_export_common_c	MLNumTypeInt32
_export_common_c	MLNumTypeInt64
_export_common_c	MLNumTypeSingle
_export_json	MLNumTypeBool
_export_json	MLNumTypeFloat32
_export_json	MLNumTypeFloat64
_export_json	MLNumTypeInt32
_export_json	MLNumTypeInt64
_export_json	MLNumTypeSingle
_export_json	MLTensor
_f_tanh	CommonRNN
_f_tanh	RNN_14
_f_tanh	RNN_14
_f_tanh	RNN_7
_find_custom_operator_schema	OpRun
_find_custom_operator_schema	OpRunArg
_find_custom_operator_schema	OpRunBinary
_find_custom_operator_schema	OpRunBinaryComparison
_find_custom_operator_schema	OpRunBinaryNum
_find_custom_operator_schema	OpRunBinaryNumpy
_find_custom_operator_schema	OpRunClassifierProb
_find_custom_operator_schema	OpRunCustom	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	OpRunReduceNumpy
_find_custom_operator_schema	OpRunUnary
_find_custom_operator_schema	OpRunUnaryNum
_find_custom_operator_schema	BroadcastGradientArgs
_find_custom_operator_schema	CDist
_find_custom_operator_schema	ComplexAbs
_find_custom_operator_schema	DEBUG
_find_custom_operator_schema	FFT
_find_custom_operator_schema	FFT2D
_find_custom_operator_schema	FusedMatMul
_find_custom_operator_schema	RFFT
_find_custom_operator_schema	SoftmaxGrad_13
_find_custom_operator_schema	SoftmaxGrad_13
_find_custom_operator_schema	Solve
_find_custom_operator_schema	SVMClassifier	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	SVMClassifierCommon	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	SVMClassifierDouble	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	SVMRegressor	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	SVMRegressorCommon	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	SVMRegressorDouble	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	Tokenizer
_find_custom_operator_schema	TreeEnsembleClassifierCommon	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleClassifierDouble	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleClassifier_1	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleClassifier_3	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleClassifier_3	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleRegressorCommon	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleRegressorDouble	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleRegressor_1	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleRegressor_3	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	TreeEnsembleRegressor_3	Finds a custom operator defined by this runtime.
_find_custom_operator_schema	YieldOp
_find_hidden_algebras	OnnxNumpyCompiler	Subgraph are using inputs not linked to the others nodes. This function retrieves them as they are stored in …
_fit	OnnxPipeline
_fix_default_values	OnnxTranslator	Maps default values with parameter names.
_format_value_c	MLNumType
_format_value_c	MLNumTypeBool
_format_value_c	MLNumTypeFloat32
_format_value_c	MLNumTypeFloat64
_format_value_c	MLNumTypeInt32
_format_value_c	MLNumTypeInt64
_format_value_c	MLNumTypeSingle
_format_value_c	MLTensor
_format_value_json	MLNumType
_format_value_json	MLNumTypeBool
_format_value_json	MLNumTypeFloat32
_format_value_json	MLNumTypeFloat64
_format_value_json	MLNumTypeInt32
_format_value_json	MLNumTypeInt64
_format_value_json	MLNumTypeSingle
_format_value_json	MLTensor
_get_data	EinsumSubOp
_get_dataset	_CommonAsvSklBenchmark
_get_dataset	_CommonAsvSklBenchmarkClassifier
_get_dataset	_CommonAsvSklBenchmarkClassifierRawScore
_get_dataset	_CommonAsvSklBenchmarkClustering
_get_dataset	_CommonAsvSklBenchmarkMultiClassifier
_get_dataset	_CommonAsvSklBenchmarkOutlier
_get_dataset	_CommonAsvSklBenchmarkRegressor
_get_dataset	_CommonAsvSklBenchmarkTrainableTransform
_get_dataset	_CommonAsvSklBenchmarkTransform
_get_dataset	_CommonAsvSklBenchmarkTransformPositive
_get_forward_nodes	GraphEinsumSubOp	Returns the forward nodes.
_get_last	OnnxTranslator
_get_output_types	NDArraySameType	Tries to infer output types.
_get_output_types	NDArraySameTypeSameShape	Tries to infer output types.
_get_output_types	NDArrayType	Tries to infer output types.
_get_output_types	NDArrayTypeSameShape	Tries to infer output types.
_get_output_types	_NDArrayAlias	Tries to infer output types.
_get_state	Bernoulli
_get_state	RandomNormal
_get_state	RandomNormalLike
_get_state	RandomUniform
_get_state	RandomUniformLike
_get_state	_CommonRandom
_get_typed_attributes	SVMClassifier
_get_typed_attributes	SVMClassifierCommon
_get_typed_attributes	SVMClassifierDouble
_get_typed_attributes	SVMRegressor
_get_typed_attributes	SVMRegressorCommon
_get_typed_attributes	SVMRegressorDouble
_get_typed_attributes	TreeEnsembleClassifierCommon
_get_typed_attributes	TreeEnsembleClassifierDouble
_get_typed_attributes	TreeEnsembleClassifier_1
_get_typed_attributes	TreeEnsembleClassifier_3
_get_typed_attributes	TreeEnsembleClassifier_3
_get_typed_attributes	TreeEnsembleRegressorCommon
_get_typed_attributes	TreeEnsembleRegressorDouble
_get_typed_attributes	TreeEnsembleRegressor_1
_get_typed_attributes	TreeEnsembleRegressor_3
_get_typed_attributes	TreeEnsembleRegressor_3
_get_xdtype	_CommonAsvSklBenchmark
_get_xdtype	_CommonAsvSklBenchmarkClassifier
_get_xdtype	_CommonAsvSklBenchmarkClassifierRawScore
_get_xdtype	_CommonAsvSklBenchmarkClustering
_get_xdtype	_CommonAsvSklBenchmarkMultiClassifier
_get_xdtype	_CommonAsvSklBenchmarkOutlier
_get_xdtype	_CommonAsvSklBenchmarkRegressor
_get_xdtype	_CommonAsvSklBenchmarkTrainableTransform
_get_xdtype	_CommonAsvSklBenchmarkTransform
_get_xdtype	_CommonAsvSklBenchmarkTransformPositive
_getat	NumpyCode
_graph_guess_dtype	AttributeGraph	Guesses the graph inputs.
_graph_guess_dtype	if_then_else	Guesses the graph inputs.
_guess_dtype	MultiOnnxVar	Guesses dtype when not specified.
_guess_dtype	OnnxVar	Guesses dtype when not specified.
_guess_inplace	OnnxInference	Looks into every node of the graph to see if there is a way to do the computation inplace. By default (input_inplace=False), …
_guess_input_dtype	OnnxInference
_guess_proto_type	OpRunOnnxEmpty
_guess_proto_type	OpRunOnnxRuntime
_infer_shapes	OpRun	Should be overwritten.
_infer_shapes	OpRunArg
_infer_shapes	OpRunBinary	Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …
_infer_shapes	OpRunBinaryComparison	Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …
_infer_shapes	OpRunBinaryNum	Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …
_infer_shapes	OpRunBinaryNumpy	Returns the same shape by default. We assume the operator returns the biggest shapes as the operator could …
_infer_shapes	OpRunClassifierProb	Returns the same for the labels and the probabilities.
_infer_shapes	OpRunCustom	Should be overwritten.
_infer_shapes	OpRunReduceNumpy	Returns the same shape by default.
_infer_shapes	OpRunUnary	Returns the same shape by default.
_infer_shapes	OpRunUnaryNum	Returns the same shape by default.
_infer_shapes	ArrayFeatureExtractor	Infer the shapes for the output.
_infer_shapes	AveragePool
_infer_shapes	BatchNormalization_14
_infer_shapes	BatchNormalization_14
_infer_shapes	BatchNormalization_9
_infer_shapes	BroadcastGradientArgs
_infer_shapes	Cast
_infer_shapes	CastLike
_infer_shapes	CategoryMapper
_infer_shapes	CDist	Returns the same for the labels and the probabilities.
_infer_shapes	ComplexAbs
_infer_shapes	Compress
_infer_shapes	Concat
_infer_shapes	ConcatFromSequence
_infer_shapes	Constant_11
_infer_shapes	Constant_12
_infer_shapes	Constant_12
_infer_shapes	Constant_9
_infer_shapes	ConstantOfShape
_infer_shapes	Conv
_infer_shapes	ConvTranspose
_infer_shapes	CumSum
_infer_shapes	DEBUG	Returns the same shape by default.
_infer_shapes	DequantizeLinear
_infer_shapes	Det
_infer_shapes	DictVectorizer
_infer_shapes	DropoutBase
_infer_shapes	Dropout_12
_infer_shapes	Dropout_12
_infer_shapes	Dropout_7
_infer_shapes	Einsum
_infer_shapes	CommonExpand
_infer_shapes	Expand_13
_infer_shapes	Expand_13
_infer_shapes	EyeLike
_infer_shapes	FeatureVectorizer
_infer_shapes	FFT
_infer_shapes	FFT2D
_infer_shapes	FusedMatMul
_infer_shapes	Gather
_infer_shapes	GatherElements
_infer_shapes	Gemm
_infer_shapes	GlobalAveragePool
_infer_shapes	If
_infer_shapes	IsInf
_infer_shapes	IsNaN
_infer_shapes	LabelEncoder
_infer_shapes	Loop
_infer_shapes	Max
_infer_shapes	MaxPool
_infer_shapes	Mean
_infer_shapes	Min
_infer_shapes	Mod
_infer_shapes	NegativeLogLikelihoodLoss
_infer_shapes	Not
_infer_shapes	OneHotEncoder
_infer_shapes	Pad
_infer_shapes	Pow
_infer_shapes	PRelu
_infer_shapes	QLinearConv
_infer_shapes	QuantizeLinear
_infer_shapes	Bernoulli
_infer_shapes	RandomNormal
_infer_shapes	RandomNormalLike
_infer_shapes	RandomUniform
_infer_shapes	RandomUniformLike
_infer_shapes	_CommonRandom
_infer_shapes	Range
_infer_shapes	ReduceSum_13	Returns the same shape by default.
_infer_shapes	ReduceSum_13	Returns the same shape by default.
_infer_shapes	CommonReshape
_infer_shapes	Reshape_13
_infer_shapes	Reshape_14
_infer_shapes	Reshape_14
_infer_shapes	Reshape_5
_infer_shapes	RFFT
_infer_shapes	CommonRNN
_infer_shapes	RNN_14
_infer_shapes	RNN_14
_infer_shapes	RNN_7
_infer_shapes	Scan
_infer_shapes	ScatterElements
_infer_shapes	SequenceAt
_infer_shapes	SequenceConstruct
_infer_shapes	SequenceInsert
_infer_shapes	Shape
_infer_shapes	Size
_infer_shapes	SliceCommon
_infer_shapes	Slice_1
_infer_shapes	Slice_10
_infer_shapes	Slice_10
_infer_shapes	SoftmaxCrossEntropyLoss
_infer_shapes	Solve
_infer_shapes	Split_11
_infer_shapes	Split_13
_infer_shapes	Split_13
_infer_shapes	Split_2
_infer_shapes	Squeeze_1
_infer_shapes	Squeeze_11
_infer_shapes	Squeeze_13
_infer_shapes	Squeeze_13
_infer_shapes	StringNormalizer
_infer_shapes	Sum
_infer_shapes	TfIdfVectorizer
_infer_shapes	Tokenizer
_infer_shapes	TopK_1
_infer_shapes	TopK_10
_infer_shapes	TopK_11
_infer_shapes	TopK_11
_infer_shapes	_CommonTopK
_infer_shapes	Transpose
_infer_shapes	Trilu
_infer_shapes	Unsqueeze_1
_infer_shapes	Unsqueeze_11
_infer_shapes	Unsqueeze_13
_infer_shapes	Unsqueeze_13
_infer_shapes	Where
_infer_shapes	ZipMap
_infer_sizes	OpRun	Should be overwritten.
_infer_sizes	OpRunArg
_infer_sizes	OpRunBinary
_infer_sizes	OpRunBinaryComparison
_infer_sizes	OpRunBinaryNum
_infer_sizes	OpRunBinaryNumpy
_infer_sizes	OpRunClassifierProb
_infer_sizes	OpRunCustom	Should be overwritten.
_infer_sizes	OpRunReduceNumpy
_infer_sizes	OpRunUnary
_infer_sizes	OpRunUnaryNum
_infer_sizes	AveragePool
_infer_sizes	BatchNormalization_14
_infer_sizes	BatchNormalization_14
_infer_sizes	BatchNormalization_9
_infer_sizes	Cast
_infer_sizes	CastLike
_infer_sizes	CategoryMapper
_infer_sizes	Compress
_infer_sizes	Concat
_infer_sizes	ConcatFromSequence
_infer_sizes	Constant_11
_infer_sizes	Constant_12
_infer_sizes	Constant_12
_infer_sizes	Constant_9
_infer_sizes	ConstantOfShape
_infer_sizes	Conv
_infer_sizes	CumSum
_infer_sizes	DEBUG
_infer_sizes	DequantizeLinear
_infer_sizes	Det
_infer_sizes	DropoutBase
_infer_sizes	Dropout_12
_infer_sizes	Dropout_12
_infer_sizes	Dropout_7
_infer_sizes	Einsum
_infer_sizes	CommonExpand
_infer_sizes	Expand_13
_infer_sizes	Expand_13
_infer_sizes	EyeLike
_infer_sizes	GatherElements
_infer_sizes	GlobalAveragePool
_infer_sizes	Loop
_infer_sizes	MaxPool
_infer_sizes	Mean
_infer_sizes	Mod
_infer_sizes	NegativeLogLikelihoodLoss
_infer_sizes	Pad
_infer_sizes	Pow
_infer_sizes	PRelu
_infer_sizes	QLinearConv
_infer_sizes	QuantizeLinear
_infer_sizes	Bernoulli
_infer_sizes	RandomNormal
_infer_sizes	RandomNormalLike
_infer_sizes	RandomUniform
_infer_sizes	RandomUniformLike
_infer_sizes	_CommonRandom
_infer_sizes	Range
_infer_sizes	ReduceSum_13
_infer_sizes	ReduceSum_13
_infer_sizes	CommonReshape
_infer_sizes	Reshape_13
_infer_sizes	Reshape_14
_infer_sizes	Reshape_14
_infer_sizes	Reshape_5
_infer_sizes	ScatterElements
_infer_sizes	SequenceAt
_infer_sizes	SequenceConstruct
_infer_sizes	SequenceInsert
_infer_sizes	Shape
_infer_sizes	Size
_infer_sizes	SliceCommon
_infer_sizes	Slice_1
_infer_sizes	Slice_10
_infer_sizes	Slice_10
_infer_sizes	SoftmaxCrossEntropyLoss
_infer_sizes	CommonSplit
_infer_sizes	Split_11
_infer_sizes	Split_13
_infer_sizes	Split_13
_infer_sizes	Split_2
_infer_sizes	Squeeze_1
_infer_sizes	Squeeze_11
_infer_sizes	Squeeze_13
_infer_sizes	Squeeze_13
_infer_sizes	Sum
_infer_sizes	TopK_1
_infer_sizes	TopK_10
_infer_sizes	TopK_11
_infer_sizes	TopK_11
_infer_sizes	Trilu
_infer_sizes	Unsqueeze_1
_infer_sizes	Unsqueeze_11
_infer_sizes	Unsqueeze_13
_infer_sizes	Unsqueeze_13
_infer_types	OpRun	Should be overwritten.
_infer_types	OpRunArg
_infer_types	OpRunBinary	Returns the boolean type.
_infer_types	OpRunBinaryComparison
_infer_types	OpRunBinaryNum	Returns the boolean type.
_infer_types	OpRunBinaryNumpy	Returns the boolean type.
_infer_types	OpRunClassifierProb	Returns the type of the labels and the probabilities.
_infer_types	OpRunCustom	Should be overwritten.
_infer_types	OpRunReduceNumpy	Returns the same type by default.
_infer_types	OpRunUnary	Returns the same type by default.
_infer_types	OpRunUnaryNum	Returns the same type by default.
_infer_types	ArrayFeatureExtractor	Returns the type of the output.
_infer_types	AveragePool
_infer_types	BatchNormalization_14
_infer_types	BatchNormalization_14
_infer_types	BatchNormalization_9
_infer_types	BroadcastGradientArgs
_infer_types	Cast
_infer_types	CastLike
_infer_types	CategoryMapper
_infer_types	ComplexAbs
_infer_types	Compress
_infer_types	Concat
_infer_types	ConcatFromSequence
_infer_types	Constant_11
_infer_types	Constant_12
_infer_types	Constant_12
_infer_types	Constant_9
_infer_types	ConstantOfShape
_infer_types	Conv
_infer_types	ConvTranspose
_infer_types	CumSum
_infer_types	DEBUG	Returns the same type by default.
_infer_types	DequantizeLinear
_infer_types	Det
_infer_types	DictVectorizer
_infer_types	DropoutBase
_infer_types	Dropout_12
_infer_types	Dropout_12
_infer_types	Dropout_7
_infer_types	Einsum
_infer_types	CommonExpand
_infer_types	Expand_13
_infer_types	Expand_13
_infer_types	EyeLike
_infer_types	FeatureVectorizer
_infer_types	FFT
_infer_types	FFT2D
_infer_types	FusedMatMul
_infer_types	Gather
_infer_types	GatherElements
_infer_types	Gemm
_infer_types	GlobalAveragePool
_infer_types	If
_infer_types	IsInf
_infer_types	IsNaN
_infer_types	LabelEncoder
_infer_types	Loop
_infer_types	Max	Returns the boolean type.
_infer_types	MaxPool
_infer_types	Mean
_infer_types	Min	Returns the boolean type.
_infer_types	Mod
_infer_types	NegativeLogLikelihoodLoss
_infer_types	Not
_infer_types	OneHotEncoder
_infer_types	Pad
_infer_types	Pow
_infer_types	PRelu
_infer_types	QLinearConv
_infer_types	QuantizeLinear
_infer_types	Bernoulli
_infer_types	RandomNormal
_infer_types	RandomNormalLike
_infer_types	RandomUniform
_infer_types	RandomUniformLike
_infer_types	_CommonRandom
_infer_types	Range
_infer_types	ReduceSum_13
_infer_types	ReduceSum_13
_infer_types	CommonReshape
_infer_types	Reshape_13
_infer_types	Reshape_14
_infer_types	Reshape_14
_infer_types	Reshape_5
_infer_types	RFFT
_infer_types	CommonRNN
_infer_types	RNN_14
_infer_types	RNN_14
_infer_types	RNN_7
_infer_types	ScatterElements
_infer_types	SequenceAt
_infer_types	SequenceConstruct
_infer_types	SequenceInsert
_infer_types	Shape
_infer_types	Size
_infer_types	SliceCommon
_infer_types	Slice_1
_infer_types	Slice_10
_infer_types	Slice_10
_infer_types	SoftmaxCrossEntropyLoss
_infer_types	Solve
_infer_types	CommonSplit
_infer_types	Split_11
_infer_types	Split_13
_infer_types	Split_13
_infer_types	Split_2
_infer_types	Squeeze_1
_infer_types	Squeeze_11
_infer_types	Squeeze_13
_infer_types	Squeeze_13
_infer_types	Sum
_infer_types	TfIdfVectorizer
_infer_types	Tokenizer
_infer_types	TopK_1
_infer_types	TopK_10
_infer_types	TopK_11
_infer_types	TopK_11
_infer_types	_CommonTopK
_infer_types	Trilu
_infer_types	Unsqueeze_1
_infer_types	Unsqueeze_11
_infer_types	Unsqueeze_13
_infer_types	Unsqueeze_13
_infer_types	Where
_infer_types	ZipMap	Returns the same shape by default.
_init	OnnxInference	Prepares the instance to deliver predictions.
_init	OnnxInferenceNode	Prepares the node.
_init	Conv
_init	ConvTranspose
_init	MaxPool
_init	QLinearConv
_init	SVMClassifier
_init	SVMClassifierCommon
_init	SVMClassifierDouble
_init	SVMRegressor
_init	SVMRegressorCommon
_init	SVMRegressorDouble
_init	TreeEnsembleClassifierCommon
_init	TreeEnsembleClassifierDouble
_init	TreeEnsembleClassifier_1
_init	TreeEnsembleClassifier_3
_init	TreeEnsembleClassifier_3
_init	TreeEnsembleRegressorCommon
_init	TreeEnsembleRegressorDouble
_init	TreeEnsembleRegressor_1
_init	TreeEnsembleRegressor_3
_init	TreeEnsembleRegressor_3
_init	OpRunOnnxEmpty	Initializes the node.
_init	OpRunOnnxRuntime	Initializes the node.
_init	QuantizedTensor	Initialization when dtype is float32.
_is_stacked	OnnxTranslator
_make_array	OnnxVar	Converts y into an array if not.
_make_numpy_code_onnx	NumpyCode
_make_numpy_code_onnxml	NumpyCode
_make_numpy_code_others	NumpyCode
_make_sure_inputs	NumpyCode
_make_sure_opsets	NumpyCode
_name	_CommonAsvSklBenchmark
_name	_CommonAsvSklBenchmarkClassifier
_name	_CommonAsvSklBenchmarkClassifierRawScore
_name	_CommonAsvSklBenchmarkClustering
_name	_CommonAsvSklBenchmarkMultiClassifier
_name	_CommonAsvSklBenchmarkOutlier
_name	_CommonAsvSklBenchmarkRegressor
_name	_CommonAsvSklBenchmarkTrainableTransform
_name	_CommonAsvSklBenchmarkTransform
_name	_CommonAsvSklBenchmarkTransformPositive
_name_mapping	OpRunOnnxEmpty
_name_mapping	OpRunOnnxRuntime
_node_to_graph	OnnxOperator	Builds a graph as a list of nodes to walk through in that order.
_node_to_graph	OnnxOperatorFunction	Builds a graph as a list of nodes to walk through in that order.
_onnx_name	EinsumSubOp
_op_abs	OnnxMicroRuntime	Runtime for operator Op.Abs.
_op_add	OnnxMicroRuntime	Runtime for operator Op.Add.
_op_concat	OnnxMicroRuntime	Runtime for operator Op.Concat.
_op_gather	OnnxMicroRuntime	Runtime for operator Op.Gather.
_op_gemm	OnnxMicroRuntime	Runtime for operator Op.Gemm.
_op_identity	OnnxMicroRuntime	Runtime for operator Op.Identity.
_op_matmul	OnnxMicroRuntime	Runtime for operator Op.MatMul.
_op_max	OnnxMicroRuntime	Runtime for operator Op.Max.
_op_mul	OnnxMicroRuntime	Runtime for operator Op.Mul.
_op_reduceprod	OnnxMicroRuntime	Runtime for operator Op.ReduceProd.
_op_reducesum	OnnxMicroRuntime	Runtime for operator Op.ReduceSum.
_op_reshape	OnnxMicroRuntime	Runtime for operator Op.Reshape.
_op_shape	OnnxMicroRuntime	Runtime for operator Op.Shape.
_op_squeeze	OnnxMicroRuntime	Runtime for operator Op.Squeeze.
_op_transpose	OnnxMicroRuntime	Runtime for operator Op.Transpose.
_op_unsqueeze	OnnxMicroRuntime	Runtime for operator Op.Unsqueeze.
_optimize_onnx	_CommonAsvSklBenchmark
_optimize_onnx	_CommonAsvSklBenchmarkClassifier
_optimize_onnx	_CommonAsvSklBenchmarkClassifierRawScore
_optimize_onnx	_CommonAsvSklBenchmarkClustering
_optimize_onnx	_CommonAsvSklBenchmarkMultiClassifier
_optimize_onnx	_CommonAsvSklBenchmarkOutlier
_optimize_onnx	_CommonAsvSklBenchmarkRegressor
_optimize_onnx	_CommonAsvSklBenchmarkTrainableTransform
_optimize_onnx	_CommonAsvSklBenchmarkTransform
_optimize_onnx	_CommonAsvSklBenchmarkTransformPositive
_optional_parameters	MLActionConcat	Returns additional parameters to add the function call.
_optional_parameters	MLActionFunctionCall	Returns additional parameters to add the function call.
_optional_parameters	MLActionTensorAdd
_optional_parameters	MLActionTensorDiv
_optional_parameters	MLActionTensorDot
_optional_parameters	MLActionTensorMul
_optional_parameters	MLActionTensorSub
_optional_parameters	MLActionTensorTake
_optional_parameters	MLActionTensorVector
_parse_annotation	OnnxNumpyCompiler	Returns the annotations for function fct_.
_pick_shape	If
_pick_type	If
_populate	wrapper_onnxnumpy_np	Creates the appropriate runtime for function fct
_post_process	OnnxTranslator	Simplifies some operator such as OnnxNeg(2).
_post_process_attributes	OnnxOperator	Walks through attributes and replaces them by ONNX values.
_post_process_attributes	OnnxOperatorFunction	Walks through attributes and replaces them by ONNX values.
_post_process_label_attributes	_ClassifierCommon	Replaces string labels by int64 labels. It creates attributes _classlabels_int64s_string.
_post_process_predicted_label	_ClassifierCommon	Replaces int64 predicted labels by the corresponding strings.
_pprint_forward	GraphEinsumSubOp
_preprocess	Concat
_preprocess	FeatureVectorizer
_preprocess_options	OnnxPipeline	Preprocesses the options.
_private_run	DropoutBase
_private_run	Dropout_12
_private_run	Dropout_12
_private_run	Dropout_7
_process_io	_GraphBuilder
_register_handler	tf_op
_remove_stopwords	StringNormalizer
_replace_node_sequence	GraphEinsumSubOp	Removes a sequence of nodes. The method does not check that the graph remains consistent.
_reset_cache	AutoAction	A same node may appear at different places in the graph. It means the output is used twice. However, we don’t want …
_run	OpRun	Should be overwritten.
_run	OpRunArg	Should be overwritten.
_run	OpRunBinary	Should be overwritten.
_run	OpRunBinaryComparison	Should be overwritten.
_run	OpRunBinaryNum	Should be overwritten.
_run	OpRunBinaryNumpy
_run	OpRunClassifierProb	Should be overwritten.
_run	OpRunCustom	Should be overwritten.
_run	OpRunReduceNumpy	Should be overwritten.
_run	OpRunUnary	Should be overwritten.
_run	OpRunUnaryNum	Should be overwritten.
_run	Abs
_run	Acos
_run	Acosh
_run	And
_run	ArgMax_11
_run	ArgMax_12
_run	ArgMax_12
_run	_ArgMax
_run	ArgMin_11
_run	ArgMin_12
_run	ArgMin_12
_run	_ArgMin
_run	ArrayFeatureExtractor	Runtime for operator ArrayFeatureExtractor.
_run	Asin
_run	Asinh
_run	Atan
_run	Atanh
_run	AveragePool
_run	BatchNormalization_14
_run	BatchNormalization_14
_run	BatchNormalization_9
_run	Binarizer
_run	BroadcastGradientArgs
_run	Cast
_run	CastLike
_run	CategoryMapper
_run	CDist
_run	Ceil
_run	Celu
_run	Clip_11
_run	Clip_11
_run	Clip_6
_run	ComplexAbs
_run	Compress
_run	Concat
_run	ConcatFromSequence
_run	Constant_11
_run	Constant_12
_run	Constant_12
_run	Constant_9
_run	ConstantOfShape
_run	Conv
_run	ConvTranspose
_run	Cos
_run	Cosh
_run	CumSum
_run	DEBUG
_run	DequantizeLinear
_run	Det
_run	DictVectorizer
_run	Div
_run	Dropout_12
_run	Dropout_12
_run	Dropout_7
_run	Einsum
_run	Elu
_run	Equal
_run	Erf
_run	Exp
_run	CommonExpand
_run	Expand_13
_run	Expand_13
_run	EyeLike
_run	FeatureVectorizer
_run	FFT
_run	FFT2D
_run	Flatten
_run	Floor
_run	FusedMatMul
_run	Gather
_run	GatherElements
_run	Gemm
_run	GlobalAveragePool
_run	Greater
_run	GreaterOrEqual
_run	HardSigmoid
_run	Hardmax
_run	Identity
_run	If
_run	Imputer
_run	IsInf
_run	IsNaN
_run	LabelEncoder
_run	LeakyRelu
_run	Less
_run	LessOrEqual
_run	LinearClassifier
_run	LinearRegressor
_run	Log
_run	LogSoftmax
_run	Loop
_run	LpNormalization
_run	MatMul
_run	MaxPool
_run	Mean
_run	Mod
_run	Neg
_run	NegativeLogLikelihoodLoss
_run	Normalizer
_run	Not
_run	OneHotEncoder
_run	Or
_run	Pad
_run	Pow
_run	PRelu
_run	QLinearConv
_run	QuantizeLinear
_run	Bernoulli
_run	RandomNormal
_run	RandomNormalLike
_run	RandomUniform
_run	RandomUniformLike
_run	Range
_run	Reciprocal
_run	ReduceL1
_run	ReduceL2
_run	ReduceLogSum
_run	ReduceLogSumExp
_run	ReduceMax
_run	ReduceMean
_run	ReduceMin
_run	ReduceProd
_run	ReduceSum_1
_run	ReduceSum_11
_run	ReduceSum_13
_run	ReduceSum_13
_run	ReduceSumSquare
_run	Relu
_run	CommonReshape
_run	Reshape_13
_run	Reshape_14
_run	Reshape_14
_run	Reshape_5
_run	RFFT
_run	CommonRNN
_run	RNN_14
_run	RNN_14
_run	RNN_7
_run	Round
_run	Scaler
_run	Scan
_run	ScatterElements
_run	Selu
_run	SequenceAt
_run	SequenceConstruct
_run	SequenceInsert
_run	Shape
_run	Sigmoid
_run	Sign
_run	Sin
_run	Sinh
_run	Size
_run	SliceCommon
_run	Slice_1
_run	Slice_10
_run	Slice_10
_run	Softmax
_run	SoftmaxGrad_13
_run	SoftmaxGrad_13
_run	SoftmaxCrossEntropyLoss
_run	Solve
_run	Split_11
_run	Split_13
_run	Split_13
_run	Split_2
_run	Sqrt
_run	Squeeze_1
_run	Squeeze_11
_run	Squeeze_13
_run	Squeeze_13
_run	StringNormalizer	Normalizes strings.
_run	Sum
_run	SVMClassifier	This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …
_run	SVMClassifierCommon	This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …
_run	SVMClassifierDouble	This is a C++ implementation coming from onnxruntime. svm_classifier.cc. …
_run	SVMRegressor	This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …
_run	SVMRegressorCommon	This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …
_run	SVMRegressorDouble	This is a C++ implementation coming from onnxruntime. svm_regressor.cc. …
_run	Tan
_run	Tanh
_run	TfIdfVectorizer
_run	Tokenizer
_run	TopK_1	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_run	TopK_10	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_run	TopK_11	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_run	TopK_11	Runtime for operator TopK. The implementation is not the most efficient as it sorts everything then extracts …
_run	Transpose
_run	TreeEnsembleClassifierCommon	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleClassifierDouble	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleClassifier_1	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleClassifier_3	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleClassifier_3	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleRegressorCommon	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleRegressorDouble	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleRegressor_1	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleRegressor_3	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	TreeEnsembleRegressor_3	This is a C++ implementation coming from onnxruntime. tree_ensemble_classifier.cc. …
_run	Trilu
_run	Unsqueeze_1
_run	Unsqueeze_11
_run	Unsqueeze_13
_run	Unsqueeze_13
_run	Where
_run	Xor
_run	YieldOp
_run	ZipMap
_run_char_tokenization	Tokenizer	Tokenizes y charaters.
_run_column	StringNormalizer	Normalizes string in a columns.
_run_empty	OnnxShapeInference	Computes shape and types of all results.
_run_inplace	Abs
_run_inplace	Acos
_run_inplace	Acosh
_run_inplace	Asin
_run_inplace	Asinh
_run_inplace	Atan
_run_inplace	Atanh
_run_inplace	Cast
_run_inplace	CastLike
_run_inplace	Ceil
_run_inplace	Celu
_run_inplace	Clip_11
_run_inplace	Clip_11
_run_inplace	Clip_6
_run_inplace	Cos
_run_inplace	Cosh
_run_inplace	Erf
_run_inplace	Exp
_run_inplace	Floor
_run_inplace	HardSigmoid
_run_inplace	LeakyRelu
_run_inplace	Log
_run_inplace	LogSoftmax
_run_inplace	LpNormalization
_run_inplace	Mean
_run_inplace	Reciprocal
_run_inplace	Relu
_run_inplace	Round
_run_inplace	Scaler
_run_inplace	Sign
_run_inplace	Sin
_run_inplace	Sinh
_run_inplace	Softmax
_run_inplace	Sqrt
_run_inplace	Tan
_run_inplace	Tanh
_run_no_checks_	OpRunArg
_run_no_checks_	OpRunBinary	Calls method _run.
_run_no_checks_	OpRunBinaryComparison	Calls method _run.
_run_no_checks_	OpRunBinaryNum	Calls method _run.
_run_no_checks_	OpRunBinaryNumpy	Calls method _run.
_run_no_checks_	OpRunClassifierProb
_run_no_checks_	OpRunReduceNumpy
_run_no_checks_	OpRunUnaryNum
_run_no_checks_	ReduceSum_13
_run_no_checks_	ReduceSum_13
_run_no_checks_	Scaler
_run_regex_tokenization	Tokenizer	Tokenizes using separators. The function should use a trie to find text.
_run_sep_tokenization	Tokenizer	Tokenizes using separators. The function should use a trie to find text.
_run_sequence_runtime	OnnxInference
_run_sequence_runtime_compiled	OnnxInference	Executes a compiled version of _run_sequence_runtime(), compiled with method _build_compile_run(). …
_run_tokenization	Tokenizer	Tokenizes a char level.
_run_whole_runtime	OnnxInference
_score_metric	_CommonAsvSklBenchmark
_score_metric	_CommonAsvSklBenchmarkClassifier
_score_metric	_CommonAsvSklBenchmarkClassifierRawScore
_score_metric	_CommonAsvSklBenchmarkClustering
_score_metric	_CommonAsvSklBenchmarkMultiClassifier
_score_metric	_CommonAsvSklBenchmarkOutlier
_score_metric	_CommonAsvSklBenchmarkRegressor
_score_metric	_CommonAsvSklBenchmarkTrainableTransform
_score_metric	_CommonAsvSklBenchmarkTransform
_score_metric	_CommonAsvSklBenchmarkTransformPositive
_set_shape_inference_runtime	OnnxInference	Set shapes based on shape inference relying on the runtime. The values are stored in every node.
_set_shape_inference_runtime	OnnxInferenceNode	Updates values which shapes of the outputs.
_set_size_inference_runtime	OnnxInference	Set sizes allocated during inference relying on the runtime. The values are stored in every node.
_set_size_inference_runtime	OnnxInferenceNode	Updates values which types of the outputs.
_set_type_inference_runtime	OnnxInference	Set types based on type inference relying on the runtime. The values are stored in every node.
_set_type_inference_runtime	OnnxInferenceNode	Updates values which types of the outputs.
_setitem1i_	OnnxVar
_setitem2i_	OnnxVar
_simplify	NumpyCode
_step	CommonRNN
_step	RNN_14
_step	RNN_14
_step	RNN_7
_to_onnx	_CommonAsvSklBenchmark
_to_onnx	_CommonAsvSklBenchmarkClassifier
_to_onnx	_CommonAsvSklBenchmarkClassifierRawScore
_to_onnx	_CommonAsvSklBenchmarkClustering
_to_onnx	_CommonAsvSklBenchmarkMultiClassifier
_to_onnx	_CommonAsvSklBenchmarkOutlier
_to_onnx	_CommonAsvSklBenchmarkRegressor
_to_onnx	_CommonAsvSklBenchmarkTrainableTransform
_to_onnx	_CommonAsvSklBenchmarkTransform
_to_onnx	_CommonAsvSklBenchmarkTransformPositive
_to_onnx	OnnxNumpyCompiler	Returns the onnx graph produced by function fct_.
_to_onnx	OnnxPipeline	Converts a transformer into ONNX.
_to_onnx	OnnxSpeedupClassifier	Converts an estimator inference into ONNX.
_to_onnx	OnnxSpeedupCluster	Converts an estimator inference into ONNX.
_to_onnx	OnnxSpeedupRegressor	Converts an estimator inference into ONNX.
_to_onnx	OnnxSpeedupTransformer	Converts an estimator inference into ONNX.
_to_onnx	_OnnxPipelineStepSpeedup	Converts an estimator inference into ONNX.
_to_onnx_batch_dot	EinsumSubOp
_to_onnx_expand_dims	EinsumSubOp
_to_onnx_id	EinsumSubOp
_to_onnx_mul	EinsumSubOp
_to_onnx_reduce_sum	EinsumSubOp
_to_onnx_shape	OnnxNumpyCompiler
_to_onnx_squeeze	EinsumSubOp
_to_onnx_transpose	EinsumSubOp
_to_python_numpy	OpRun
_to_python_numpy	OpRunArg
_to_python_numpy	OpRunBinary
_to_python_numpy	OpRunBinaryComparison
_to_python_numpy	OpRunBinaryNum
_to_python_numpy	OpRunBinaryNumpy
_to_python_numpy	OpRunClassifierProb
_to_python_numpy	OpRunCustom
_to_python_numpy	OpRunReduceNumpy
_to_python_numpy	OpRunUnary
_to_python_numpy	OpRunUnaryNum
_to_string1	ShapeBinaryFctOperator
_to_string1	ShapeBinaryOperator
_to_string1	ShapeOperatorAdd
_to_string1	ShapeOperatorGreater
_to_string1	ShapeOperatorMax
_to_string1	ShapeOperatorMul
_to_string2	ShapeBinaryFctOperator
_to_string2	ShapeBinaryOperator
_to_string2	ShapeOperatorAdd
_to_string2	ShapeOperatorGreater
_to_string2	ShapeOperatorMax
_to_string2	ShapeOperatorMul
_to_string2b	ShapeBinaryFctOperator
_to_string2b	ShapeBinaryOperator
_to_string2b	ShapeOperatorAdd
_to_string2b	ShapeOperatorGreater
_to_string2b	ShapeOperatorMax
_to_string2b	ShapeOperatorMul
_to_string3	ShapeBinaryFctOperator
_to_string3	ShapeBinaryOperator
_to_string3	ShapeOperatorAdd
_to_string3	ShapeOperatorGreater
_to_string3	ShapeOperatorMax
_to_string3	ShapeOperatorMul
_validate_onnx_data	wrapper_onnxnumpy_np
add	AdjacencyGraphDisplay	Adds an action to display the graph.
add_function	_GraphBuilder	Adds a function to the graph.
add_info	EinsumSubOp	Adds information to the node.
add_initializer	_GraphBuilder	Adds an initializer to the graph.
add_node	_GraphBuilder	Adds a node to the graph.
add_to	OnnxOperator	Adds to graph builder.
add_to	OnnxOperatorBase	This method should be overwritten.
add_to	OnnxOperatorFunction	Adds to graph builder.
add_to	OnnxOperatorItem	Adds to graph builder. Does nothing because the original node is already added.
add_to	OnnxOperatorTuple	Adds to graph builder. Does nothing because the original node is already added.
add_to	OnnxSubEstimator	Adds to graph builder.
add_to	OnnxSubOnnx	Adds to graph builder.
add_variable_to_clean	OnnxInferenceNode	Adds a variable which can be cleaned after the node execution.
adjacency_matrix	BiGraph	Builds an adjacency matrix.
and_	OnnxOperator	Automatically adds operator OnnxAnd to the graph.
and_	OnnxOperatorFunction	Automatically adds operator OnnxAnd to the graph.
append	_created_classes	Adds a class into globals() to enable pickling on dynamic classes.
append	ShapeConstraintList	Appends a new constraint to the list.
append	ShapeObject	Appends a dimension.
append	ShapeObjectFct	Appends a dimension.
append	GraphEinsumSubOp	Adds one input or result.
apply	EinsumSubOp	Applies one operator on the data.
apply_sequence	GraphEinsumSubOp	Applies a sequence of operations on a list of inputs.
as_string	FctVersion	Returns a single string identifier.
as_tuple	FctVersion	Returns a single tuple for the version.
as_tuple_with_sep	FctVersion	Returns a single tuple for the version.
asdict	ZipMapDictionary
assert_almost_equal	OnnxSpeedupClassifier	Checks that ONNX and scikit-learn produces the same outputs.
assert_almost_equal	OnnxSpeedupCluster	Checks that ONNX and scikit-learn produces the same outputs.
assert_almost_equal	OnnxSpeedupRegressor	Checks that ONNX and scikit-learn produces the same outputs.
assert_almost_equal	OnnxSpeedupTransformer	Checks that ONNX and scikit-learn produces the same outputs.
astype	OnnxVar	Cast
astype	OnnxOperator	Automatically adds operator OnnxCast to the graph.
astype	OnnxOperatorFunction	Automatically adds operator OnnxCast to the graph.
attr	MockWrappedLightGbmBoosterClassifier	Returns default values for common attributes.
broadcast	ShapeObject	Computes the shape after a broadcast.
broadcast	ShapeObjectFct	Computes the shape after a broadcast.
build	CachedEinsum	Preprocesses the equation builds whatever is necessary to compute the result of the einsum equation.
build_intermediate	OnnxInference	Builds every possible ONNX file which computes one specific intermediate output from the inputs. …
build_onnx_einsum	CachedEinsum	Builds an ONNX graph with a single einsum operator.
build_runtime	CachedEinsum	Builds the runtime associated to the equation self.equation_.
cast	MLNumType	Converts value into this type.
cast	MLNumTypeBool	Exports value into this type.
cast	MLNumTypeFloat32	Exports value into this type.
cast	MLNumTypeFloat64	Exports value into this type.
cast	MLNumTypeInt32	Exports value into this type.
cast	MLNumTypeInt64	Exports value into this type.
cast	MLNumTypeSingle	Exports value into this type.
cast	MLTensor	Converts value into this type.
cast	MLType	Converts value into this type.
check_method_name	_CommonAsvSklBenchmark	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkClassifier	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkClassifierRawScore	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkClustering	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkMultiClassifier	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkOutlier	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkRegressor	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkTrainableTransform	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkTransform	Does some verifications. Fails if inconsistencies.
check_method_name	_CommonAsvSklBenchmarkTransformPositive	Does some verifications. Fails if inconsistencies.
check_model	OnnxInference	Checks the model follow ONNX conventions.
choose_act	CommonRNN
choose_act	RNN_14
choose_act	RNN_14
choose_act	RNN_7
clean_unused_nodes	GraphEinsumSubOp	Cleans nodes with unused outputs.
common_infer_shapes	CommonSplit
common_infer_shapes	Split_11
common_infer_shapes	Split_13
common_infer_shapes	Split_13
common_infer_shapes	Split_2
common_run	CommonSplit
common_run	Split_11
common_run	Split_13
common_run	Split_13
common_run	Split_2
compute_output_row	EinsumSubOp	Updates row based on the operator.
concat_columns	ShapeObject	Concatenates columns from shapes to this one along one axis.
concat_columns	ShapeObjectFct	Concatenates columns from shapes to this one along one axis.
copy	OnnxVar	Returns a copy of self (use of Identity node).
copy	ShapeContainer	Makes a copy.
copy	ShapeConstraint	Makes a copy of the object.
copy	ShapeConstraintList	Copies the object.
copy	ShapeResult	Returns a copy for the result.
copy	ShapeObject	A copy not a deepcopy.
copy	ShapeObjectFct	A copy not a deepcopy.
copy_add	Variable	Returns a copy of this variable with a new dtype.
copy_merge	Variable	Merges information from both Variable.
copy_name	Variable	Returns a copy with a new name.
default	_MyEncoder
default_inputs	CachedEinsum	Returns default inputs (reshaped numpy.arange + 0.7i).
depart	CodeTranslator	Leaves a node.
depart	OnnxTranslator	Visits a node.
display_sequence	OnnxInference	Shows the sequence of nodes to run if runtime=='python'.
display_structure	BiGraph	Creates a display structure which contains all the necessary steps to display a graph.
dot_label	EinsumSubOp	Displays some informations useful to understand the operator.
drop_axis	ShapeObject	Drops an axis.
drop_axis	ShapeObjectFct	Drops an axis.
dump_model	MockWrappedLightGbmBoosterClassifier	mock dump_model method
enable_inplace_compute	OnnxInferenceNode	Let the node know that one input can be overwritten.
enable_inplace_compute	OpRun	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunArg	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunBinary	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunBinaryComparison	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunBinaryNum	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunBinaryNumpy	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunClassifierProb	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunCustom	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunReduceNumpy	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunUnary	Tells the node that one input can be overwritten.
enable_inplace_compute	OpRunUnaryNum	Tells the node that one input can be overwritten.
end_profiling	InferenceSession	Ends profiling.
enumerate_variables	MLAction	Enumerates all variables.
enumerate_variables	MLActionBinary	Enumerates all variables.
enumerate_variables	MLActionCast	Enumerates all variables.
enumerate_variables	MLActionConcat	Enumerates all variables.
enumerate_variables	MLActionCst	Enumerates all variables.
enumerate_variables	MLActionFunction	Enumerates all variables.
enumerate_variables	MLActionFunctionCall	Enumerates all variables.
enumerate_variables	MLActionIfElse	Enumerates all variables.
enumerate_variables	MLActionReturn	Enumerates all variables.
enumerate_variables	MLActionUnary	Enumerates all variables.
enumerate_variables	MLActionVar	Enumerates itself.
evaluate	BaseDimensionShape	Evaluates the object, reduces the expression to a number or a string.
evaluate	DimensionObject	Evalutes the dimension.
evaluate	ShapeBinaryFctOperator	Evalutes the operator.
evaluate	ShapeBinaryOperator	Evalutes the operator.
evaluate	ShapeObject	Evaluates the shape.
evaluate	ShapeObjectFct	Evaluates the shape.
evaluate	ShapeOperator	Evalutes the operator.
evaluate	ShapeOperatorAdd	Evalutes the operator.
evaluate	ShapeOperatorGreater	Evalutes the operator.
evaluate	ShapeOperatorMax	Evalutes the operator.
evaluate	ShapeOperatorMul	Evalutes the operator.
execute	MLAction	Computes the action. Returns the output.
execute	MLActionBinary	Computes the action. Returns the output.
execute	MLActionCast
execute	MLActionConcat	Concatenation
execute	MLActionCst
execute	MLActionFunction
execute	MLActionFunctionCall	Computes the action. Returns the output.
execute	MLActionIfElse
execute	MLActionReturn
execute	MLActionUnary	Computes the action. Returns the output.
execute	MLActionVar
execute	MLActionAdd
execute	MLActionSign
execute	MLActionTestEqual
execute	MLActionTestInf
execute	MLActionTensorAdd	Addition
execute	MLActionTensorDiv	Addition
execute	MLActionTensorDot	Addition
execute	MLActionTensorMul	Addition
execute	MLActionTensorSub	Addition
execute	MLActionTensorTake	Addition
execute	MLActionTensorVector	Addition
export	AutoAction	Exports into any format. The method is looking for one method call ‘_export_<lang>’ and calls it if found. …
export	CodeNodeVisitor	Calls method export from the translator class.
export	CodeTranslator	Exports the parsed python code into something.
export	OnnxTranslator	Returns an ONNX graph or a piece of code which could generate the graph.
f	OnnxOperator	Computes the predictions for this node. Similar to an eager evaluation.
f	OnnxOperatorBase	Evaluates this node.
f	OnnxOperatorFunction	Computes the predictions for this node. Similar to an eager evaluation.
f	OnnxOperatorItem	Computes the predictions for this node. Similar to an eager evaluation.
f	OnnxOperatorTuple	Evaluates this node.
feature_name	MockWrappedLightGbmBoosterClassifier	Returns binary features names.
find_named_inputs	OnnxOperator	Retrieves all named inputs in this graph.
find_named_inputs	OnnxOperatorBase	Returns all inputs to the graph.
find_named_inputs	OnnxOperatorFunction	Retrieves all named inputs in this graph.
find_named_inputs	OnnxOperatorItem	Returns all inputs to the graph.
find_named_inputs	OnnxOperatorTuple	Returns all inputs to the graph.
find_schema	OnnxOperator	Checks if there is an existing schema for a specific version.
find_schema	OnnxOperatorFunction	Checks if there is an existing schema for a specific version.
fit	OnnxPipeline	Fits the model, fits all the transforms one after the other and transform the data, then fit the transformed …
fit	OnnxSpeedupClassifier	Trains based estimator.
fit	OnnxSpeedupCluster	Trains based estimator.
fit	OnnxSpeedupRegressor	Trains based estimator.
fit	OnnxSpeedupTransformer	Trains based estimator.
fit	_OnnxPipelineStepSpeedup	Fits the estimator, converts to ONNX.
fit	GPT2TokenizerTransformer	The model is not trains this method is still needed to set the instance up and ready to transform.
fit	SentencePieceTokenizerTransformer	The model is not trains this method is still needed to set the instance up and ready to transform.
fit	OnnxTransformer	Loads the ONNX model.
fit_transform	OnnxTransformer	Loads the ONNX model and runs the predictions.
flatten	OnnxVar	Flattens a matrix (see numpy.ndarray.flatten).
format_value	AutoType	Exports into any format. The method is looking for one method call ‘_export_<lang>’ and calls it if found. …
generic_visit	CodeNodeVisitor	Overrides generic_visit to check it is not used.
generic_visit	CodeNodeVisitor	Overrides generic_visit to check it is not used.
generic_visit_args	CodeNodeVisitor	Overrides generic_visit to keep track of the indentation and the node parent. The function will add field …
generic_visit_args	CodeNodeVisitor	Overrides generic_visit to keep track of the indentation and the node parent. The function will add field …
get	ShapeContainer	Returns the value of attribute resolved_ (method resolve() must have been called first).
get_all_constraints	ShapeContainer	Gathers all constraints.
get_dot_kind	EinsumSubOp	Every matrix multiplication can be either:
get_dtype	Tf2OnnxConvert	Returns the type of one node or None if unknown.
get_execution_order	OnnxInference	This function returns a dictionary {(kind, name): (order, op)}, name can be a node name or a result name. In …
get_input_names	_GraphBuilder	Returns input names for node node and inputs inputs.
get_inputs	InferenceSession2	Overwrites method get_inputs.
get_inputs	OnnxInference2	onnxruntime API
get_inputs	InferenceSession	Returns input types.
get_inputs_outputs	NDArraySameType	Returns the list of inputs, outputs.
get_inputs_outputs	NDArraySameTypeSameShape	Returns the list of inputs, outputs.
get_inputs_outputs	NDArrayType	Returns the list of inputs, outputs.
get_inputs_outputs	NDArrayTypeSameShape	Returns the list of inputs, outputs.
get_inputs_outputs	_NDArrayAlias	Returns the list of inputs, outputs.
get_name	NodeResultName	Returns a name from output_names or a suggestion for a name.
get_new_name	ShapeContainer	Returns a variable name when a dimension is not specified.
get_node_by_name	Tf2OnnxConvert	Retrieves a node by its name.
get_objective	WrappedLightGbmBooster	Returns the objective.
get_output_result	OnnxOperator	Returns the output name at position i.
get_output_result	OnnxOperatorFunction	Returns the output name at position i.
get_output_result	OnnxOperatorItem	Returns the output name at position i.
get_outputs	InferenceSession2	Overwrites method get_outputs.
get_outputs	OnnxInference2	onnxruntime API
get_outputs	InferenceSession	Returns output types.
get_profiling	OnnxInference	Returns the profiling after a couple of execution.
get_profiling	OnnxWholeSession	Returns the profiling informations.
get_shape	Tf2OnnxConvert	Returns the type of one node or None if unknown.
get_unique_name	_GraphBuilder	Returns a unique name to name an output.
get_unique_output_name	_GraphBuilder	Returns a unique output_name for a NodeResultName.
global_index	OnnxInference	Maps every name to one integer to avoid using dictionaries when running the predictions.
graph_execution	MLAction	Returns a formated string which retruns the outputs.
graph_execution	MLActionBinary	Returns a formated string which retruns the outputs.
graph_execution	MLActionCast	Returns a formated string which retruns the outputs.
graph_execution	MLActionConcat	Returns a formated string which retruns the outputs.
graph_execution	MLActionCst
graph_execution	MLActionFunction	Returns a formated string which retruns the outputs.
graph_execution	MLActionFunctionCall	Returns a formated string which retruns the outputs.
graph_execution	MLActionIfElse	Returns a formated string which retruns the outputs.
graph_execution	MLActionReturn	Returns a formated string which retruns the outputs.
graph_execution	MLActionUnary	Returns a formated string which retruns the outputs.
graph_execution	MLActionVar
infer_shapes	OnnxInference	Computes expected shapes.
infer_shapes	OpRun	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunArg
infer_shapes	OpRunBinary	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunBinaryComparison	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunBinaryNum	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunBinaryNumpy	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunClassifierProb
infer_shapes	OpRunCustom	Infer shapes of the outputs given the shapes of the inputs. It works the same way as method run.
infer_shapes	OpRunReduceNumpy
infer_shapes	OpRunUnary
infer_shapes	OpRunUnaryNum
infer_shapes	Clip_11
infer_shapes	Clip_11
infer_shapes	ReduceSum_13
infer_shapes	ReduceSum_13
infer_sizes	OnnxInference	Computes expected sizes.
infer_sizes	OpRun	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunArg	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunBinary	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunBinaryComparison	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunBinaryNum	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunBinaryNumpy	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunClassifierProb	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunCustom	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunReduceNumpy	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunUnary	Infer sizes required for computation. It works the same way as method run.
infer_sizes	OpRunUnaryNum	Infer sizes required for computation. It works the same way as method run.
infer_types	OnnxInference	Computes expected shapes.
infer_types	OpRun	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunArg
infer_types	OpRunBinary	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunBinaryComparison	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunBinaryNum	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunBinaryNumpy	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunClassifierProb
infer_types	OpRunCustom	Infer types of the outputs given the types of the inputs. It works the same way as method run.
infer_types	OpRunReduceNumpy
infer_types	OpRunUnary
infer_types	OpRunUnaryNum
infer_types	Clip_11
infer_types	Clip_11
infer_types	ReduceSum_13
infer_types	ReduceSum_13
insert	ShapeObject	Inserts a dimension at position pos.
insert	ShapeObjectFct	Inserts a dimension at position pos.
is_compatible	ShapeResult	Tells if this shape is compatible with the given tuple.
is_named	Variable	Tells the variable is named like that.
is_random	OnnxBackendTest	Tells if a test is random or not.
items	ZipMapDictionary
keys	ZipMapDictionary
make_const	Tf2OnnxConvert	Make a new constants in the graph.
make_model	Tf2OnnxConvert	Produces the new ONNX graph with the updated sets of nodes.
make_msg	CodeNodeVisitor	Displays line and column information into a string.
make_msg	OnnxTranslator	Make a message with line and column information.
make_node	Tf2OnnxConvert	Adds a node to the list of nodes.
make_numpy_code	NumpyCode	Main method, returns the python code for a given operator.
make_slice	GraphBuilder	slice changes its schema at opset 10: it treats some attributes as dynamic input so this function has to process …
make_squeeze	GraphBuilder	Squeeze changes its schema at opset 13: it treats axes as a dynamic input kwargs: key could be [“data”, “axes”]. …
make_unsqueeze	GraphBuilder	Unsqueeze changes its schema at opset 13: it treats axes as a dynamic input kwargs: key could be [“data”, “axes”]. …
make_value_info	Variable	Converts the variable into onnx.ValueInfoProto.
mark	GraphEinsumSubOp	Marks one input or result as an intermediate result after a full einsum step.
mark_last_node	GraphEinsumSubOp	Marks the last node as the final output.
merge	ShapeConstraint	Merges this constraint with cst into this one.
merge	ShapeResult	Merges constraints from other_results into self.
n_dims	ShapeResult	Returns the number of dimensions if it is a tensor. Raises an exception otherwise.
need_context	OpRun	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunArg	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunBinary	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunBinaryComparison	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunBinaryNum	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunBinaryNumpy	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunClassifierProb	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunCustom	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunReduceNumpy	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunUnary	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunUnaryNum	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	Loop	The operator Loop needs to know all results produced so far as the loop may silently access one of them. …
need_context	OpRunOnnxEmpty	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
need_context	OpRunOnnxRuntime	Tells the runtime if this node needs the context (all the results produced so far) as it may silently access …
not_	OnnxVar	Not.
not_	OnnxOperator	Automatically adds operator OnnxNot to the graph.
not_	OnnxOperatorFunction	Automatically adds operator OnnxNot to the graph.
onnx_converter	OnnxSpeedupClassifier	Returns a converter for this transform.
onnx_converter	OnnxSpeedupCluster	Returns a converter for this transform.
onnx_converter	OnnxSpeedupRegressor	Returns a converter for this transform.
onnx_converter	OnnxSpeedupTransformer	Returns a converter for this transform.
onnx_converter	_OnnxPipelineStepSpeedup	Returns a converter for this transform.
onnx_converter	OnnxTransformer	Returns a converter for this model. If not overloaded, it fetches the converter mapped to the first scikit-learn …
onnx_parser	OnnxSpeedupClassifier	Returns a parser for this model.
onnx_parser	OnnxSpeedupCluster	Returns a parser for this model.
onnx_parser	OnnxSpeedupRegressor	Returns a parser for this model.
onnx_parser	OnnxSpeedupTransformer	Returns a parser for this model.
onnx_parser	_OnnxPipelineStepSpeedup	Returns a parser for this model.
onnx_parser	OnnxTransformer	Returns a parser for this model.
onnx_shape_calculator	OnnxSpeedupClassifier	Returns a shape calculator for this transform.
onnx_shape_calculator	OnnxSpeedupCluster	Returns a shape calculator for this transform.
onnx_shape_calculator	OnnxSpeedupRegressor	Returns a shape calculator for this transform.
onnx_shape_calculator	OnnxSpeedupTransformer	Returns a shape calculator for this transform.
onnx_shape_calculator	_OnnxPipelineStepSpeedup	Returns a shape calculator for this transform.
onnx_shape_calculator	OnnxTransformer
onnxview	OnnxNotebook	Defines %onnxview which displays an ONNX graph.
or_	OnnxOperator	Automatically adds operator OnnxOr to the graph.
or_	OnnxOperatorFunction	Automatically adds operator OnnxOr to the graph.
order	BiGraph	Order nodes. Depth first. Returns a sequence of keys of mixed v1, v2.
order_vertices	BiGraph	Orders the vertices from the input to the output.
peakmem_predict	_CommonAsvSklBenchmark	asv API
peakmem_predict	_CommonAsvSklBenchmarkClassifier	asv API
peakmem_predict	_CommonAsvSklBenchmarkClassifierRawScore	asv API
peakmem_predict	_CommonAsvSklBenchmarkClustering	asv API
peakmem_predict	_CommonAsvSklBenchmarkMultiClassifier	asv API
peakmem_predict	_CommonAsvSklBenchmarkOutlier	asv API
peakmem_predict	_CommonAsvSklBenchmarkRegressor	asv API
peakmem_predict	_CommonAsvSklBenchmarkTrainableTransform	asv API
peakmem_predict	_CommonAsvSklBenchmarkTransform	asv API
peakmem_predict	_CommonAsvSklBenchmarkTransformPositive	asv API
predecessors	OnnxOperator	Returns the list of predecessors.
predecessors	OnnxOperatorFunction	Returns the list of predecessors.
predict	OnnxSpeedupClassifier	Transforms with ONNX.
predict	OnnxSpeedupCluster	Transforms with ONNX.
predict	OnnxSpeedupRegressor	Transforms with ONNX.
predict_proba	OnnxSpeedupClassifier	Transforms with ONNX.
preprocess_parameters	OnnxInferenceNode	Preprocesses the parameters, loads GraphProto (equivalent to ONNX graph with less metadata).
print_tree	CodeNodeVisitor	Displays the tree of instructions.
print_tree	CodeNodeVisitor	Displays the tree of instructions.
product	ShapeObject	Multiplies all the dimension.
product	ShapeObjectFct	Multiplies all the dimension.
push	CodeNodeVisitor	Pushes an element into a list.
push	CodeNodeVisitor	Pushes an element into a list.
raw_predict	OnnxSpeedupClassifier	Transforms with scikit-learn.
raw_predict	OnnxSpeedupCluster	Transforms with scikit-learn.
raw_predict	OnnxSpeedupRegressor	Transforms with scikit-learn.
raw_predict_proba	OnnxSpeedupClassifier	Transforms with scikit-learn.
raw_transform	OnnxSpeedupCluster	Transforms with scikit-learn.
raw_transform	OnnxSpeedupTransformer	Transforms with scikit-learn.
reduce	ShapeObject	Reduces the matrix. Removes one dimension.
reduce	ShapeObjectFct	Reduces the matrix. Removes one dimension.
reduce_size	OnnxInference	Reduces the memory footprint as much as possible.
remove_duplicate_transpose	GraphEinsumSubOp	Removes consecutive transpose by merging them.
remove_node	Tf2OnnxConvert	Removes a node name from the list.
replace_all_inputs	Tf2OnnxConvert	Every taking old_name as inputs will take new_name instead. Looks in the output as well but in that case, it …
reserve_name	_GraphBuilder	Reserves a name so that it cannot be changed.
reserve_names	_GraphBuilder	Adds names to the list of reserved names. All must be unique.
reshape	OnnxVar	Reshape
reshape	ShapeObject	Creates a new shape, checks the number of elements is the same.
reshape	ShapeObjectFct	Creates a new shape, checks the number of elements is the same.
resolve	ShapeContainer	Resolves all constraints. It adds the attribute resolved_.
resolve	ShapeResult	Results variables in a shape using values stored in variables. It does not copy any constraints.
run	OnnxOperator	Other name for OnnxInference.f.
run	OnnxOperatorFunction	Other name for OnnxInference.f.
run	Tf2OnnxConvert	Calls the registered converters on the graph held by this instance. Returns the new onnx graph.
run	OnnxInferenceBackendRep	Computes the prediction. See @see meth OnnxInference.run.
run	_CombineModels	Runs shape inferance and onnx inference.
run	OnnxInference	Computes the predictions for this onnx graph.
run	OnnxInferenceNode	Runs the node. the function updates values with outputs.
run	OnnxMicroRuntime	Computes the outputs of the graph.
run	OnnxShapeInference	Runs shape inference and type given known inputs.
run	OpRun	Calls method _run.
run	OpRunArg	Calls method _run.
run	OpRunBinary	Calls method _run.
run	OpRunBinaryComparison	Calls method _run.
run	OpRunBinaryNum	Calls method _run.
run	OpRunBinaryNumpy	Calls method _run.
run	OpRunClassifierProb	Calls method _run.
run	OpRunCustom	Calls method _run.
run	OpRunReduceNumpy	Calls method _run.
run	OpRunUnary	Calls method _run.
run	OpRunUnaryNum	Calls method _run.
run	Clip_11	Calls method _run.
run	Clip_11	Calls method _run.
run	Max
run	Min
run	ReduceSum_13	Calls method _run.
run	ReduceSum_13	Calls method _run.
run	OpRunOnnxEmpty	Should be overwritten.
run	OpRunOnnxRuntime	Should be overwritten.
run	OnnxWholeSession	Computes the predictions.
run	SimplifiedOnnxInference	Calls InferenceSession.run.
run	OnnxBackendTest	Executes a tests or all tests if index is None. The function crashes if the tests fails.
run	InferenceSession2	Overwrites method run.
run	OnnxInference2	onnxruntime API
run	InferenceSession	Executes the ONNX graph.
run2onnx	OnnxInference	Executes the graphs with the given inputs, then adds the intermediate results into ONNX nodes in the original graph. …
run_in_scan	OnnxInference2	Instance to run in operator scan.
runtime_name	_CommonAsvSklBenchmark	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkClassifier	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkClassifierRawScore	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkClustering	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkMultiClassifier	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkOutlier	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkRegressor	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkTrainableTransform	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkTransform	Returns the runtime shortname.
runtime_name	_CommonAsvSklBenchmarkTransformPositive	Returns the runtime shortname.
set_onnx_name	OnnxVar	Forces this variable to get this name during
set_order	OnnxInferenceNode	Defines the order of execution.
setup	_CommonAsvSklBenchmark	asv API
setup	_CommonAsvSklBenchmarkClassifier	asv API
setup	_CommonAsvSklBenchmarkClassifierRawScore	asv API
setup	_CommonAsvSklBenchmarkClustering	asv API
setup	_CommonAsvSklBenchmarkMultiClassifier	asv API
setup	_CommonAsvSklBenchmarkOutlier	asv API
setup	_CommonAsvSklBenchmarkRegressor	asv API
setup	_CommonAsvSklBenchmarkTrainableTransform	asv API
setup	_CommonAsvSklBenchmarkTransform	asv API
setup	_CommonAsvSklBenchmarkTransformPositive	asv API
setup_cache	_CommonAsvSklBenchmark	asv API
setup_cache	_CommonAsvSklBenchmarkClassifier	asv API
setup_cache	_CommonAsvSklBenchmarkClassifierRawScore	asv API
setup_cache	_CommonAsvSklBenchmarkClustering	asv API
setup_cache	_CommonAsvSklBenchmarkMultiClassifier	asv API
setup_cache	_CommonAsvSklBenchmarkOutlier	asv API
setup_cache	_CommonAsvSklBenchmarkRegressor	asv API
setup_cache	_CommonAsvSklBenchmarkTrainableTransform	asv API
setup_cache	_CommonAsvSklBenchmarkTransform	asv API
setup_cache	_CommonAsvSklBenchmarkTransformPositive	asv API
setup_cache	TemplateBenchmarkClassifier
setup_cache	TemplateBenchmarkClassifierRawScore
setup_cache	TemplateBenchmarkClustering
setup_cache	TemplateBenchmarkMultiClassifier
setup_cache	TemplateBenchmarkOutlier
setup_cache	TemplateBenchmarkRegressor
setup_cache	TemplateBenchmarkTrainableTransform
setup_cache	TemplateBenchmarkTransform
setup_cache	TemplateBenchmarkTransformPositive
setup_runtime	OnnxInferenceNode	Loads runtime.
shape_calculator	NDArraySameType	Returns expected dimensions given the input dimensions.
shape_calculator	NDArraySameTypeSameShape	Returns expected dimensions given the input dimensions.
shape_calculator	NDArrayType	Returns expected dimensions given the input dimensions.
shape_calculator	NDArrayTypeSameShape	Returns expected dimensions given the input dimensions.
shape_calculator	_NDArrayAlias	Returns expected dimensions given the input dimensions.
shape_inference	OnnxInference	Infers the shape of the outputs with onnx package.
simplify_mm_nodes	GraphEinsumSubOp	Node name suffixed by mm are an artifact to keep the graph consistent while building it. They can now …
softcast	MLNumTypeBool	Exports value into this type, does it anyway without verification.
softcast	MLNumTypeFloat32	Exports value into this type, does it anyway without verification.
softcast	MLNumTypeFloat64	Exports value into this type, does it anyway without verification.
softcast	MLNumTypeInt32	Exports value into this type, does it anyway without verification.
softcast	MLNumTypeInt64	Exports value into this type, does it anyway without verification.
softcast	MLNumTypeSingle	Exports value into this type, does it anyway without verification.
squeeze	ShapeObject	Removes one dimension.
squeeze	ShapeObjectFct	Removes one dimension.
strip_accents_unicode	StringNormalizer	Transforms accentuated unicode symbols into their simple counterpart. Source: sklearn/feature_extraction/text.py. …
summarize	BiGraph	Creates a text summary of the graph.
switch_initializers_dtype	OnnxInference	Switches all initializers to numpy.float64. If model is None, a simple cast is done. Otherwise, the function …
switch_initializers_dtype	OnnxInferenceNode	Switches all initializers to numpy.float64. This only works if the runtime is 'python'.
switch_initializers_dtype	OpRun	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunArg	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunBinary	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunBinaryComparison	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunBinaryNum	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunBinaryNumpy	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunClassifierProb	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunCustom	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunReduceNumpy	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunUnary	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
switch_initializers_dtype	OpRunUnaryNum	Switches all initializers to numpy.float64. If model is None, a simple cast is done.
time_predict	_CommonAsvSklBenchmark	asv API
time_predict	_CommonAsvSklBenchmarkClassifier	asv API
time_predict	_CommonAsvSklBenchmarkClassifierRawScore	asv API
time_predict	_CommonAsvSklBenchmarkClustering	asv API
time_predict	_CommonAsvSklBenchmarkMultiClassifier	asv API
time_predict	_CommonAsvSklBenchmarkOutlier	asv API
time_predict	_CommonAsvSklBenchmarkRegressor	asv API
time_predict	_CommonAsvSklBenchmarkTrainableTransform	asv API
time_predict	_CommonAsvSklBenchmarkTransform	asv API
time_predict	_CommonAsvSklBenchmarkTransformPositive	asv API
to_algebra	AttributeGraph	Converts the variable into an operator.
to_algebra	OnnxVarGraph	Converts the variable into an operator.
to_algebra	if_then_else	Converts the variable into an operator.
to_algebra	MultiOnnxVar	Converts the variable into an operator.
to_algebra	OnnxVar	Converts the variable into an operator.
to_dot	OnnxInferenceExport	Produces a DOT language string for the graph.
to_dot	GraphEinsumSubOp	Produces a graph in dot.
to_json	OnnxInferenceExport	Converts an ONNX model into JSON.
to_onnx	OnnxNumpyCompiler	Returns the ONNX graph for the wrapped function. It takes additional arguments to distinguish between multiple graphs. …
to_onnx	wrapper_onnxnumpy	Returns the ONNX graph for the wrapped function. It takes additional arguments to distinguish between multiple graphs. …
to_onnx	wrapper_onnxnumpy_np	Returns the ONNX graph for the wrapped function. It takes additional arguments to distinguish between multiple graphs. …
to_onnx	OnnxOperator	Converts this operator into an ONNX graph.
to_onnx	OnnxOperatorFunction	Converts this operator into an ONNX graph.
to_onnx	OnnxOperatorTuple	Converts this operator into an ONNX graph. It follows the same signature as OnnxOperator.to_onnx …
to_onnx	_GraphBuilder	Converts this operator into an ONNX graph.
to_onnx	EinsumSubOp	Converts this node into ONNX. Enumerates all ONNX node which participate to the conversion. The last one …
to_onnx	GraphEinsumSubOp	Converts the graph into ONNX.
to_onnx_code	OnnxInferenceExport	Exports the ONNX graph into an onnx code which replicates it.
to_onnx_this	OnnxOperator	Returns a simple ONNX graph corresponding to this node.
to_onnx_this	OnnxOperatorFunction	Returns a simple ONNX graph corresponding to this node.
to_onnx_this	OnnxSubEstimator	Returns the ONNX graph.
to_onnx_this	OnnxSubOnnx	Returns the ONNX graph.
to_python	OnnxInferenceExport	Converts the ONNX runtime into independant python code. The function creates multiple files starting with …
to_python	OnnxInferenceNode	Returns a python code for this operator.
to_python	OpRun	Returns a python code equivalent to this operator.
to_python	OpRunArg	Returns a python code equivalent to this operator.
to_python	OpRunBinary	Returns a python code equivalent to this operator.
to_python	OpRunBinaryComparison	Returns a python code equivalent to this operator.
to_python	OpRunBinaryNum	Returns a python code equivalent to this operator.
to_python	OpRunBinaryNumpy	Returns a python code equivalent to this operator.
to_python	OpRunClassifierProb	Returns a python code equivalent to this operator.
to_python	OpRunCustom	Returns a python code equivalent to this operator.
to_python	OpRunReduceNumpy	Returns a python code equivalent to this operator.
to_python	OpRunUnary	Returns a python code equivalent to this operator.
to_python	OpRunUnaryNum	Returns a python code equivalent to this operator.
to_python	Abs
to_python	Acos
to_python	Acosh
to_python	And
to_python	ArgMax_11
to_python	ArgMax_12
to_python	ArgMax_12
to_python	_ArgMax
to_python	ArgMin_11
to_python	ArgMin_12
to_python	ArgMin_12
to_python	Asin
to_python	Asinh
to_python	Atan
to_python	Atanh
to_python	CDist
to_python	Ceil
to_python	Celu
to_python	Clip_11
to_python	Clip_11
to_python	Clip_6
to_python	ComplexAbs
to_python	Compress
to_python	Concat
to_python	ConstantOfShape
to_python	Cos
to_python	Cosh
to_python	CumSum
to_python	DEBUG
to_python	Det
to_python	Einsum
to_python	Elu
to_python	Equal
to_python	Erf
to_python	Exp
to_python	EyeLike
to_python	FFT
to_python	FFT2D
to_python	Flatten
to_python	Floor
to_python	GatherElements
to_python	Greater
to_python	GreaterOrEqual
to_python	HardSigmoid
to_python	Hardmax
to_python	Identity
to_python	IsInf
to_python	IsNaN
to_python	LeakyRelu
to_python	Less
to_python	LessOrEqual
to_python	Log
to_python	LogSoftmax
to_python	MatMul
to_python	Mod
to_python	Neg
to_python	Not
to_python	Or
to_python	Pow
to_python	PRelu
to_python	Bernoulli
to_python	RandomNormal
to_python	RandomNormalLike
to_python	RandomUniform
to_python	RandomUniformLike
to_python	Reciprocal
to_python	Relu
to_python	RFFT
to_python	Round
to_python	Selu
to_python	Sigmoid
to_python	Sign
to_python	Sin
to_python	Sinh
to_python	Softmax
to_python	Solve
to_python	Sqrt
to_python	Sum
to_python	Tan
to_python	Tanh
to_python	Transpose	Returns a python code equivalent to this operator.
to_python	Trilu
to_python	Xor
to_python	YieldOp
to_python	OnnxBackendTest	Returns a python code equivalent to the ONNX test.
to_sequence	OnnxInference	Produces a graph to facilitate the execution. One example:
to_skl2onnx	Variable	Converts this instance into an instance of Variable from sklearn-onnx.
to_string	BaseDimensionShape	Converts the object into a string.
to_string	DimensionObject	Represents the dimension as a string.
to_string	ShapeBinaryFctOperator	Applies binary operator to a dimension.
to_string	ShapeBinaryOperator	Applies binary operator to a dimension.
to_string	ShapeObject	Converts shapes into a string.
to_string	ShapeObjectFct	Converts shapes into a string.
to_string	ShapeOperator	Displays as a string.
to_string	ShapeOperatorAdd	Applies binary operator to a dimension.
to_string	ShapeOperatorGreater	Applies binary operator to a dimension.
to_string	ShapeOperatorMax	Applies binary operator to a dimension.
to_string	ShapeOperatorMul	Applies binary operator to a dimension.
to_text	OnnxInferenceExport	It calls function onnx2bigraph() to return the ONNX graph as text.
to_text	AdjacencyGraphDisplay	Displays the graph as a single string. See onnx2bigraph() to see how the result looks like.
track_nbnodes	_CommonAsvSklBenchmark	asv API
track_nbnodes	_CommonAsvSklBenchmarkClassifier	asv API
track_nbnodes	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_nbnodes	_CommonAsvSklBenchmarkClustering	asv API
track_nbnodes	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_nbnodes	_CommonAsvSklBenchmarkOutlier	asv API
track_nbnodes	_CommonAsvSklBenchmarkRegressor	asv API
track_nbnodes	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_nbnodes	_CommonAsvSklBenchmarkTransform	asv API
track_nbnodes	_CommonAsvSklBenchmarkTransformPositive	asv API
track_onnxsize	_CommonAsvSklBenchmark	asv API
track_onnxsize	_CommonAsvSklBenchmarkClassifier	asv API
track_onnxsize	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_onnxsize	_CommonAsvSklBenchmarkClustering	asv API
track_onnxsize	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_onnxsize	_CommonAsvSklBenchmarkOutlier	asv API
track_onnxsize	_CommonAsvSklBenchmarkRegressor	asv API
track_onnxsize	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_onnxsize	_CommonAsvSklBenchmarkTransform	asv API
track_onnxsize	_CommonAsvSklBenchmarkTransformPositive	asv API
track_score	_CommonAsvSklBenchmark	asv API
track_score	_CommonAsvSklBenchmarkClassifier	asv API
track_score	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_score	_CommonAsvSklBenchmarkClustering	asv API
track_score	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_score	_CommonAsvSklBenchmarkOutlier	asv API
track_score	_CommonAsvSklBenchmarkRegressor	asv API
track_score	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_score	_CommonAsvSklBenchmarkTransform	asv API
track_score	_CommonAsvSklBenchmarkTransformPositive	asv API
track_vmlprodict	_CommonAsvSklBenchmark	asv API
track_vmlprodict	_CommonAsvSklBenchmarkClassifier	asv API
track_vmlprodict	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_vmlprodict	_CommonAsvSklBenchmarkClustering	asv API
track_vmlprodict	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_vmlprodict	_CommonAsvSklBenchmarkOutlier	asv API
track_vmlprodict	_CommonAsvSklBenchmarkRegressor	asv API
track_vmlprodict	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_vmlprodict	_CommonAsvSklBenchmarkTransform	asv API
track_vmlprodict	_CommonAsvSklBenchmarkTransformPositive	asv API
track_vort	_CommonAsvSklBenchmark	asv API
track_vort	_CommonAsvSklBenchmarkClassifier	asv API
track_vort	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_vort	_CommonAsvSklBenchmarkClustering	asv API
track_vort	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_vort	_CommonAsvSklBenchmarkOutlier	asv API
track_vort	_CommonAsvSklBenchmarkRegressor	asv API
track_vort	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_vort	_CommonAsvSklBenchmarkTransform	asv API
track_vort	_CommonAsvSklBenchmarkTransformPositive	asv API
track_vsklearn	_CommonAsvSklBenchmark	asv API
track_vsklearn	_CommonAsvSklBenchmarkClassifier	asv API
track_vsklearn	_CommonAsvSklBenchmarkClassifierRawScore	asv API
track_vsklearn	_CommonAsvSklBenchmarkClustering	asv API
track_vsklearn	_CommonAsvSklBenchmarkMultiClassifier	asv API
track_vsklearn	_CommonAsvSklBenchmarkOutlier	asv API
track_vsklearn	_CommonAsvSklBenchmarkRegressor	asv API
track_vsklearn	_CommonAsvSklBenchmarkTrainableTransform	asv API
track_vsklearn	_CommonAsvSklBenchmarkTransform	asv API
track_vsklearn	_CommonAsvSklBenchmarkTransformPositive	asv API
transform	OnnxSpeedupCluster	Transforms with ONNX.
transform	OnnxSpeedupTransformer	Transforms with ONNX.
transform	GPT2TokenizerTransformer	Applies the tokenizers on an array of strings.
transform	SentencePieceTokenizerTransformer	Applies the tokenizers on an array of strings.
transform	OnnxTransformer	Runs the predictions. If X is a dataframe, the function assumes every columns is a separate input, otherwise, …
transpose	ShapeObject	Removes one dimension.
transpose	ShapeObjectFct	Removes one dimension.
unsqueeze	ShapeObject	Adds dimensions.
unsqueeze	ShapeObjectFct	Adds dimensions.
update	ShapeContainer	Updates one shape. Returns True if the shape was different.
update_max_item	OnnxOperator	Some operators return a undefined number of outputs. The method is called when require one of them (with __getitem__) …
update_max_item	OnnxOperatorFunction	Some operators return a undefined number of outputs. The method is called when require one of them (with __getitem__) …
validate	MLNumType	Checks that the value is of this type.
validate	MLNumTypeBool	Checks that the value is of this type.
validate	MLNumTypeFloat32	Checks that the value is of this type.
validate	MLNumTypeFloat64	Checks that the value is of this type.
validate	MLNumTypeInt32	Checks that the value is of this type.
validate	MLNumTypeInt64	Checks that the value is of this type.
validate	MLNumTypeSingle	Checks that the value is of this type.
validate	MLTensor	Checks that the value is of this type.
validate	MLType	Checks that the value is of this type.
values	ZipMapDictionary
visit	CodeNodeVisitor	Visits a node, a method must exist for every object class.
visit	CodeTranslator	Visits a node.
visit	OnnxTranslator	Visits a node.
visit	CodeNodeVisitor	Visits a node, a method must exist for every object class.
visit_	CodeNodeVisitor	If an element is not found…
visit_	CodeNodeVisitor
visit_Add	CodeNodeVisitor
visit_Add	CodeNodeVisitor
visit_And	CodeNodeVisitor
visit_Assign	CodeNodeVisitor
visit_Assign	CodeNodeVisitor
visit_Attribute	CodeNodeVisitor
visit_Attribute	CodeNodeVisitor
visit_AugAssign	CodeNodeVisitor
visit_BinOp	CodeNodeVisitor
visit_BinOp	CodeNodeVisitor
visit_BitAnd	CodeNodeVisitor
visit_BoolOp	CodeNodeVisitor
visit_Call	CodeNodeVisitor
visit_Call	CodeNodeVisitor
visit_ClassDef	CodeNodeVisitor
visit_Compare	CodeNodeVisitor
visit_Compare	CodeNodeVisitor
visit_Dict	CodeNodeVisitor
visit_Div	CodeNodeVisitor
visit_Div	CodeNodeVisitor
visit_Eq	CodeNodeVisitor
visit_Expr	CodeNodeVisitor
visit_ExtSlice	CodeNodeVisitor
visit_FloorDiv	CodeNodeVisitor
visit_FunctionDef	CodeNodeVisitor
visit_FunctionDef	CodeNodeVisitor
visit_GeneratorExp	CodeNodeVisitor
visit_Gt	CodeNodeVisitor
visit_Gt	CodeNodeVisitor
visit_GtE	CodeNodeVisitor
visit_If	CodeNodeVisitor
visit_IfExp	CodeNodeVisitor
visit_Import	CodeNodeVisitor
visit_ImportFrom	CodeNodeVisitor
visit_In	CodeNodeVisitor
visit_Index	CodeNodeVisitor
visit_Invert	CodeNodeVisitor
visit_Is	CodeNodeVisitor
visit_IsNot	CodeNodeVisitor
visit_Lambda	CodeNodeVisitor
visit_List	CodeNodeVisitor
visit_List	CodeNodeVisitor
visit_ListComp	CodeNodeVisitor
visit_Load	CodeNodeVisitor
visit_Load	CodeNodeVisitor
visit_Lt	CodeNodeVisitor
visit_Lt	CodeNodeVisitor
visit_MatMult	CodeNodeVisitor
visit_Mod	CodeNodeVisitor
visit_Module	CodeNodeVisitor
visit_Module	CodeNodeVisitor
visit_Mult	CodeNodeVisitor
visit_Mult	CodeNodeVisitor
visit_Name	CodeNodeVisitor
visit_Name	CodeNodeVisitor
visit_NameConstant	CodeNodeVisitor	A name.
visit_NameConstant	CodeNodeVisitor
visit_Not	CodeNodeVisitor
visit_NotEq	CodeNodeVisitor
visit_Num	CodeNodeVisitor
visit_Num	CodeNodeVisitor
visit_Or	CodeNodeVisitor
visit_Pow	CodeNodeVisitor
visit_Pow	CodeNodeVisitor
visit_Return	CodeNodeVisitor
visit_Return	CodeNodeVisitor
visit_Slice	CodeNodeVisitor
visit_Store	CodeNodeVisitor
visit_Store	CodeNodeVisitor
visit_Str	CodeNodeVisitor
visit_Str	CodeNodeVisitor
visit_Sub	CodeNodeVisitor
visit_Sub	CodeNodeVisitor
visit_Subscript	CodeNodeVisitor
visit_Tuple	CodeNodeVisitor
visit_USub	CodeNodeVisitor
visit_USub	CodeNodeVisitor
visit_UnaryOp	CodeNodeVisitor
visit_UnaryOp	CodeNodeVisitor
visit_alias	CodeNodeVisitor
visit_arg	CodeNodeVisitor
visit_arg	CodeNodeVisitor
visit_arguments	CodeNodeVisitor
visit_arguments	CodeNodeVisitor
visit_comprehension	CodeNodeVisitor
visit_keyword	CodeNodeVisitor
visit_keyword	CodeNodeVisitor

previous

Functions

next

Modules