org.nd4j.linalg.api.ops.impl.scalar.comparison

Class ScalarEquals

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseScalarOp

org.nd4j.linalg.api.ops.impl.scalar.comparison.ScalarEquals

All Implemented Interfaces:

BroadcastOp, Op, ScalarOp

public class ScalarEquals
extends BaseScalarOp

Return a binary (0 or 1) when greater than a number

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
ScalarEquals()
ScalarEquals(INDArray x)
ScalarEquals(INDArray x, INDArray y, INDArray z, long n, Number num)
ScalarEquals(INDArray x, Number num)
ScalarEquals(SameDiff sameDiff, SDVariable i_v, Number scalar)
ScalarEquals(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace)
ScalarEquals(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace, Object[] extraArgs)
ScalarEquals(SameDiff sameDiff, SDVariable i_v, Number scalar, Object[] extraArgs)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
int[]	getDimension() Dimension to do the vector op along.
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)
void	setDimension(int... dimension) Set the dimension for the vector op.
String	tensorflowName() The opName of this function tensorflow

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

calculateOutputShape, opType, scalar, setScalar, z

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

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

Constructor Detail

ScalarEquals

public ScalarEquals()

ScalarEquals

public ScalarEquals(INDArray x,
                    INDArray y,
                    INDArray z,
                    long n,
                    Number num)

ScalarEquals

public ScalarEquals(INDArray x,
                    Number num)

ScalarEquals

public ScalarEquals(INDArray x)

ScalarEquals

public ScalarEquals(SameDiff sameDiff,
                    SDVariable i_v,
                    Number scalar)

ScalarEquals

public ScalarEquals(SameDiff sameDiff,
                    SDVariable i_v,
                    Number scalar,
                    boolean inPlace)

ScalarEquals

public ScalarEquals(SameDiff sameDiff,
                    SDVariable i_v,
                    Number scalar,
                    boolean inPlace,
                    Object[] extraArgs)

ScalarEquals

public ScalarEquals(SameDiff sameDiff,
                    SDVariable i_v,
                    Number scalar,
                    Object[] extraArgs)

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

getDimension

public int[] getDimension()

Description copied from interface: BroadcastOp

Dimension to do the vector op along. Along dimension 1 for row vector ops, along 0 for column vector ops

Specified by:

getDimension in interface BroadcastOp

Overrides:

getDimension in class BaseScalarOp

setDimension

public void setDimension(int... dimension)

Description copied from interface: BroadcastOp

Set the dimension for the vector op.

Specified by:

setDimension in interface BroadcastOp

Overrides:

setDimension in class BaseScalarOp

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: