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

Class CopyOp

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.arithmetic.CopyOp

All Implemented Interfaces:

Op, TransformOp

public class CopyOp
extends BaseTransformOp

Copy operation

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

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
void	exec() Execute the op if its pass through (not needed most of the time)
boolean	isPassThrough() Returns whether the op should be executed or not (through the executioner)
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, exec, extraArgs, extraArgsBuff, extraArgsDataBuff, getOpType, hashCode, init, initFromOnnx, initFromTensorFlow, isExecSpecial, 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

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

Constructor Detail

CopyOp

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

CopyOp

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

CopyOp

public CopyOp(SameDiff sameDiff)

CopyOp

public CopyOp(SameDiff sameDiff,
              SDVariable i_v1,
              SDVariable i_v2,
              Object[] extraArgs)

CopyOp

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

CopyOp

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

CopyOp

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

CopyOp

public CopyOp()

CopyOp

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

CopyOp

public CopyOp(INDArray x,
              INDArray z)

CopyOp

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

CopyOp

public CopyOp(INDArray x)

CopyOp

public CopyOp(INDArray x,
              INDArray xDup,
              INDArray z)

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

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

isPassThrough

public boolean isPassThrough()

Description copied from interface: Op

Returns whether the op should be executed or not (through the executioner)

Specified by:

isPassThrough in interface Op

Overrides:

isPassThrough in class BaseOp

Returns:

true if the op is pass through false otherwise

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: