org.nd4j.linalg.api.ops.impl.accum

Class AMin

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseAccumulation

org.nd4j.linalg.api.ops.impl.accum.AMin

All Implemented Interfaces:

Accumulation, Op

public class AMin
extends BaseAccumulation

Calculate the absolute minimum over a vector

Author:

[email protected]

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.BaseAccumulation

finalResult, isComplex, keepDims, newFormat

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
AMin()
AMin(INDArray x)
AMin(INDArray x, INDArray y)
AMin(INDArray x, INDArray y, INDArray z, long n)
AMin(INDArray x, INDArray y, long n)
AMin(SameDiff sameDiff, SDVariable i_v, int[] dimensions)
AMin(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.
Number	getFinalResult() Get the final result (may return null if getAndSetFinalResult has not been called, or for accumulation ops on complex arrays)
Op.Type	getOpType()
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)
Op.Type	opType() The type of the op
String	tensorflowName() The opName of this function tensorflow
double	zeroDouble() Initial value (used to initialize the accumulation op)
float	zeroFloat() Initial value (used to initialize the accumulation op)
float	zeroHalf() Initial value for half

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

calculateOutputShape, hasReductionIndices, initFromOnnx, initFromTensorFlow, isComplexAccumulation, isKeepDims, noOp, setFinalResult

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

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

Constructor Detail

AMin

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

AMin

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

AMin

public AMin()

AMin

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

AMin

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

AMin

public AMin(INDArray x)

AMin

public AMin(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

getFinalResult

public Number getFinalResult()

Description copied from interface: Accumulation

Get the final result (may return null if getAndSetFinalResult has not been called, or for accumulation ops on complex arrays)

Specified by:

getFinalResult in interface Accumulation

Overrides:

getFinalResult in class BaseAccumulation

zeroDouble

public double zeroDouble()

Description copied from interface: Accumulation

Initial value (used to initialize the accumulation op)

Specified by:

zeroDouble in interface Accumulation

Overrides:

zeroDouble in class BaseAccumulation

Returns:

the initial value

zeroFloat

public float zeroFloat()

Description copied from interface: Accumulation

Initial value (used to initialize the accumulation op)

Specified by:

zeroFloat in interface Accumulation

Overrides:

zeroFloat in class BaseAccumulation

zeroHalf

public float zeroHalf()

Description copied from interface: Accumulation

Initial value for half

Specified by:

zeroHalf in interface Accumulation

Overrides:

zeroHalf in class BaseAccumulation

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:

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:

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseAccumulation

Returns:

getOpType

public Op.Type getOpType()