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