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

Class IAMax

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.IAMax

All Implemented Interfaces:

IndexAccumulation, Op

public class IAMax
extends BaseIndexAccumulation

Calculate the index of the max absolute value over a vector

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.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
IAMax()
IAMax(INDArray x)
IAMax(INDArray x, INDArray y)
IAMax(INDArray x, INDArray y, long n)
IAMax(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
IAMax(SameDiff sameDiff, SDVariable i_v, SDVariable i_v2, 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)
String	tensorflowName() The opName of this function tensorflow
IComplexNumber	zeroComplex() Complex initial value
double	zeroDouble() Initial value for the index accumulation
float	zeroFloat() Initial value for the index accumulation.
float	zeroHalf() Initial value for the index accumulation.

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

calculateOutputShape, getFinalResult, init, setFinalResult, 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, 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

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

Constructor Detail

IAMax

public IAMax(SameDiff sameDiff,
             SDVariable i_v,
             int[] dimensions)

IAMax

public IAMax(SameDiff sameDiff,
             SDVariable i_v,
             SDVariable i_v2,
             int[] dimensions)

IAMax

public IAMax()

IAMax

public IAMax(INDArray x,
             INDArray y,
             long n)

IAMax

public IAMax(INDArray x)

IAMax

public IAMax(INDArray x,
             INDArray y)

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

zeroDouble

public double zeroDouble()

Description copied from interface: IndexAccumulation

Initial value for the index accumulation

Specified by:

zeroDouble in interface IndexAccumulation

Overrides:

zeroDouble in class BaseIndexAccumulation

Returns:

the initial value

zeroFloat

public float zeroFloat()

Description copied from interface: IndexAccumulation

Initial value for the index accumulation.

Specified by:

zeroFloat in interface IndexAccumulation

Overrides:

zeroFloat in class BaseIndexAccumulation

Returns:

the initial value

zeroHalf

public float zeroHalf()

Description copied from interface: IndexAccumulation

Initial value for the index accumulation.

Returns:

the initial value

zeroComplex

public IComplexNumber zeroComplex()

Description copied from interface: IndexAccumulation

Complex initial value

Specified by:

zeroComplex in interface IndexAccumulation

Overrides:

zeroComplex in class BaseIndexAccumulation

Returns:

the complex initial value

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:

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: