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

Class OldSoftMax

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

All Implemented Interfaces:

Op, TransformOp

Direct Known Subclasses:

SoftMaxDerivative

public class OldSoftMax
extends BaseTransformOp

Soft max function row_maxes is a row vector (max for each row) row_maxes = rowmaxes(input) diff = exp(input - max) / diff.rowSums() Outputs a probability distribution. Note that this is a parameterized model and requires the sum and max for the vector being calculated

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
OldSoftMax()
OldSoftMax(INDArray x)
OldSoftMax(INDArray x, INDArray z)
OldSoftMax(INDArray x, INDArray y, INDArray z)
OldSoftMax(INDArray x, INDArray y, INDArray z, long n)
OldSoftMax(INDArray x, INDArray z, long n)
OldSoftMax(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
OldSoftMax(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs)
OldSoftMax(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs)
OldSoftMax(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2)
OldSoftMax(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> i_v) The actual implementation for automatic differentiation.
void	exec() Execute the op if its pass through (not needed most of the time)
void	exec(int... dimensions) Exec along each dimension
void	init(INDArray x, INDArray y, INDArray z, long n) Initialize the operation based on the parameters
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.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

OldSoftMax

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

OldSoftMax

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

OldSoftMax

public OldSoftMax(SameDiff sameDiff,
                  SDVariable i_v,
                  boolean inPlace)

OldSoftMax

public OldSoftMax(SameDiff sameDiff,
                  SDVariable i_v,
                  int[] shape,
                  boolean inPlace,
                  Object[] extraArgs)

OldSoftMax

public OldSoftMax(SameDiff sameDiff,
                  SDVariable i_v,
                  Object[] extraArgs)

OldSoftMax

public OldSoftMax()

OldSoftMax

public OldSoftMax(INDArray x,
                  INDArray z)

OldSoftMax

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

OldSoftMax

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

OldSoftMax

public OldSoftMax(INDArray x,
                  INDArray y,
                  INDArray z)

OldSoftMax

public OldSoftMax(INDArray x)

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:

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 BaseOp

Returns:

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

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

Specified by:

onnxName in class DifferentialFunction

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Specified by:

tensorflowName in class DifferentialFunction

Returns:

exec

public void exec()

Description copied from interface: Op

Execute the op if its pass through (not needed most of the time)

Specified by:

exec in interface Op

Overrides:

exec in class BaseOp

init

public void init(INDArray x,
                 INDArray y,
                 INDArray z,
                 long n)

Description copied from interface: Op

Initialize the operation based on the parameters

Specified by:

init in interface Op

Overrides:

init in class BaseOp

Parameters:

x - the input

y - the pairwise transform ndarray

z - the resulting ndarray

n - the number of elements

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 BaseOp

Parameters:

dimensions - the dimensions to execute on

doDiff

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

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns: