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

Class SoftMaxDerivative

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.impl.transforms.OldSoftMax

org.nd4j.linalg.api.ops.impl.transforms.SoftMaxDerivative

All Implemented Interfaces:

Op, TransformOp

public class SoftMaxDerivative
extends OldSoftMax

Softmax derivative

Author:

Adam Gibson

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

extraArgs, extraArgz, n, numProcessed, passThrough, x, xVertexId, y, yVertexId, z, zVertexId

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

dimensions, inPlace, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
SoftMaxDerivative()
SoftMaxDerivative(INDArray x)
SoftMaxDerivative(INDArray x, INDArray z)
SoftMaxDerivative(INDArray x, INDArray y, INDArray z, long n)
SoftMaxDerivative(INDArray x, INDArray z, long n)
SoftMaxDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2)
SoftMaxDerivative(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace)

Method Summary

Modifier and Type	Method and Description
void	exec(int... dimensions) Exec along each dimension
boolean	isExecSpecial() Whether the executioner needs to do a special call or not
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)
String	tensorflowName() The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.impl.transforms.OldSoftMax

doDiff, exec, init

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

calculateOutputShape, opType, z

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

equals, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, initFromOnnx, initFromTensorFlow, isPassThrough, n, numProcessed, outputVariables, setN, setX, setY, setZ, toCustomOp, toString, x, y

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

arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, outputVariables, propertiesForFunction, rarg, resolvePropertiesFromSameDiffBeforeExecution, setInstanceId, 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

extraArgs, extraArgsBuff, extraArgsDataBuff, isPassThrough, n, numProcessed, setExtraArgs, setN, setX, setY, setZ, toCustomOp, x, y

Constructor Detail

SoftMaxDerivative

public SoftMaxDerivative(SameDiff sameDiff,
                         SDVariable i_v1,
                         SDVariable i_v2)

SoftMaxDerivative

public SoftMaxDerivative(SameDiff sameDiff,
                         SDVariable i_v1,
                         SDVariable i_v2,
                         boolean inPlace)

SoftMaxDerivative

public SoftMaxDerivative(INDArray x,
                         INDArray z)

SoftMaxDerivative

public SoftMaxDerivative(INDArray x,
                         INDArray z,
                         long n)

SoftMaxDerivative

public SoftMaxDerivative(INDArray x,
                         INDArray y,
                         INDArray z,
                         long n)

SoftMaxDerivative

public SoftMaxDerivative(INDArray x)

SoftMaxDerivative

public SoftMaxDerivative()

Method Detail

isExecSpecial

public boolean isExecSpecial()

Description copied from interface: Op

Whether the executioner needs to do a special call or not

Specified by:

isExecSpecial in interface Op

Overrides:

isExecSpecial in class OldSoftMax

Returns:

true if the executioner needs to do a special call or not false otherwise

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 OldSoftMax

Returns:

onnxName

public String onnxName()

Description copied from class: DifferentialFunction

The opName of this function in onnx

Overrides:

onnxName in class OldSoftMax

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class OldSoftMax

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 OldSoftMax

Returns:

the opName of this operation

exec

public void exec(int... dimensions)

Description copied from interface: Op

Exec along each dimension

Specified by:

exec in interface Op

Overrides:

exec in class OldSoftMax

Parameters:

dimensions - the dimensions to execute on