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

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

keepDims

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 and Description
LastIndex(INDArray in, boolean keepDim, Condition condition, int... dimensions)
LastIndex(INDArray x, @NonNull Condition condition, boolean keepDim, int... dimensions)
LastIndex(INDArray x, @NonNull Condition condition, double eps, int... dimensions)
LastIndex(INDArray x, @NonNull Condition condition, int... dimensions)
LastIndex(SameDiff sameDiff, SDVariable i_v, boolean keepDims, Condition condition, int... dimensions)
LastIndex(SameDiff sameDiff, SDVariable i_v, Condition condition, boolean keepDims, int... dimensions)
LastIndex(SameDiff sameDiff, SDVariable x, @NonNull Condition condition, int... dimensions)

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

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

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, opType, validateDataTypes

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

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

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

arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, getValue, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariables, outputVariablesNames, 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.IndexAccumulation

dimensions, getFinalResult, isKeepDims

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

clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, 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,
                 boolean keepDims,
                 Condition condition,
                 int... dimensions)

LastIndex

public LastIndex(SameDiff sameDiff,
                 SDVariable i_v,
                 Condition condition,
                 boolean keepDims,
                 int... dimensions)

LastIndex

public LastIndex(SameDiff sameDiff,
                 SDVariable x,
                 @NonNull
                 @NonNull Condition condition,
                 int... dimensions)

LastIndex

public LastIndex(INDArray x,
                 @NonNull
                 @NonNull Condition condition,
                 int... dimensions)

LastIndex

public LastIndex(INDArray in,
                 boolean keepDim,
                 Condition condition,
                 int... dimensions)

LastIndex

public LastIndex(INDArray x,
                 @NonNull
                 @NonNull Condition condition,
                 boolean keepDim,
                 int... dimensions)

LastIndex

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

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

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:

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: