Package org.nd4j.linalg.api.ops.impl.transforms.bool

Class MatchConditionTransform

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseTransformOp

org.nd4j.linalg.api.ops.BaseTransformBoolOp

org.nd4j.linalg.api.ops.impl.transforms.bool.MatchConditionTransform

All Implemented Interfaces:

Op, TransformOp, TransformSameOp

public class MatchConditionTransform
extends BaseTransformBoolOp

Nested Class Summary

Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op

Op.Type

Field Summary

Fields inherited from class org.nd4j.linalg.api.ops.BaseOp

dimensionz, extraArgz, x, xVertexId, y, yVertexId, z, zVertexId

Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction

dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor	Description
MatchConditionTransform()
MatchConditionTransform(@NonNull INDArray x, @NonNull INDArray y, @NonNull INDArray z, @NonNull Condition condition)
MatchConditionTransform(@NonNull INDArray x, @NonNull INDArray z, @NonNull Condition condition)
MatchConditionTransform(SameDiff sameDiff, SDVariable in, Condition condition)
MatchConditionTransform(INDArray x, double eps, @NonNull Condition condition)
MatchConditionTransform(INDArray x, @NonNull Condition condition)
MatchConditionTransform(INDArray x, INDArray z, double eps, @NonNull Condition condition)

Method Summary

Modifier and Type	Method	Description
List<SDVariable>	doDiff(List<SDVariable> f1)	The actual implementation for automatic differentiation.
Op.Type	getOpType()
String	onnxName()	The opName of this function in onnx
String	opName()	The name of the op
int	opNum()	The number of the op (mainly for old legacy XYZ ops like Op)
Op.Type	opType()	The type of the op
String	tensorflowName()	The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformBoolOp

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, resultType, resultType, validateDataTypes

Methods inherited from class org.nd4j.linalg.api.ops.BaseTransformOp

z

Methods inherited from class org.nd4j.linalg.api.ops.BaseOp

clearArrays, computeVariables, defineDimensions, dimensions, equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getFinalResult, getInputArgument, getNumOutputs, getOpType, hashCode, initFromOnnx, initFromTensorFlow, outputVariables, setX, setY, setZ, toCustomOp, toString, x, y

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, configureWithSameDiff, diff, dup, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.Op

clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y, z

Constructor Detail

MatchConditionTransform

public MatchConditionTransform(SameDiff sameDiff,
                               SDVariable in,
                               Condition condition)

MatchConditionTransform

public MatchConditionTransform()

MatchConditionTransform

public MatchConditionTransform(@NonNull
                               @NonNull INDArray x,
                               @NonNull
                               @NonNull INDArray y,
                               @NonNull
                               @NonNull INDArray z,
                               @NonNull
                               @NonNull Condition condition)

MatchConditionTransform

public MatchConditionTransform(@NonNull
                               @NonNull INDArray x,
                               @NonNull
                               @NonNull INDArray z,
                               @NonNull
                               @NonNull Condition condition)

MatchConditionTransform

public MatchConditionTransform(INDArray x,
                               @NonNull
                               @NonNull Condition condition)

MatchConditionTransform

public MatchConditionTransform(INDArray x,
                               INDArray z,
                               double eps,
                               @NonNull
                               @NonNull Condition condition)

MatchConditionTransform

public MatchConditionTransform(INDArray x,
                               double eps,
                               @NonNull
                               @NonNull Condition condition)

Method Detail

opNum

public int opNum()

Description copied from class: DifferentialFunction

The number of the op (mainly for old legacy XYZ ops like Op)

Specified by:

opNum in interface Op

Overrides:

opNum in class DifferentialFunction

Returns:

opName

public String opName()

Description copied from class: DifferentialFunction

The name of the op

Specified by:

opName in interface Op

Overrides:

opName in class DifferentialFunction

Returns:

the opName of this operation

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class BaseOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseOp

Returns:

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface TransformOp

Overrides:

getOpType in class BaseTransformBoolOp

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseTransformBoolOp

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> f1)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns: