org.nd4j.linalg.api.ops.impl.indexaccum

Class LastIndex

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseIndexAccumulation

org.nd4j.linalg.api.ops.impl.indexaccum.LastIndex

All Implemented Interfaces:

IndexAccumulation, Op

public class LastIndex
extends BaseIndexAccumulation

Calculate the index of max value over a vector

Author:

raver119@gmail.com

Nested Class Summary

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

Op.Type

Field Summary

Fields

Modifier and Type	Field and Description
protected double	compare
protected Condition	condition
protected double	eps
protected int	mode

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

finalResult

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
LastIndex()
LastIndex(INDArray x, Condition condition)
LastIndex(INDArray x, Condition condition, double eps)
LastIndex(SameDiff sameDiff, SDVariable i_v, int[] dimensions, Condition condition, double compare, double eps, int mode)
LastIndex(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, int[] dimensions, Condition condition, double compare, double eps, int mode)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
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)
Map<String,Object>	propertiesForFunction() Returns the properties for a given function
String	tensorflowName() The opName of this function tensorflow
float	zeroHalf() Initial value for the index accumulation.

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

calculateOutputShape, getFinalResult, init, setFinalResult, zeroComplex, zeroDouble, zeroFloat, zeroPair

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

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

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

arg, args, asProperties, attributeAdaptersForFunction, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, opType, outputVariables, 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

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

Field Detail

condition

protected Condition condition

compare

protected double compare

eps

protected double eps

mode

protected int mode

Constructor Detail

LastIndex

public LastIndex(SameDiff sameDiff,
                 SDVariable i_v,
                 int[] dimensions,
                 Condition condition,
                 double compare,
                 double eps,
                 int mode)

LastIndex

public LastIndex(SameDiff sameDiff,
                 SDVariable i_v,
                 SDVariable i_v2,
                 int[] dimensions,
                 Condition condition,
                 double compare,
                 double eps,
                 int mode)

LastIndex

public LastIndex()

LastIndex

public LastIndex(INDArray x,
                 @NonNull
                 Condition condition)

LastIndex

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

Method Detail

propertiesForFunction

public Map<String,Object> propertiesForFunction()

Description copied from class: DifferentialFunction

Returns the properties for a given function

Overrides:

propertiesForFunction in class DifferentialFunction

Returns:

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

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:

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:

zeroHalf

public float zeroHalf()

Description copied from interface: IndexAccumulation

Initial value for the index accumulation.

Returns:

the initial value