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

Class ScalarLessThanOrEqual

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.BaseScalarBoolOp

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

All Implemented Interfaces:

Op, ScalarOp

public class ScalarLessThanOrEqual
extends BaseScalarBoolOp

Return a binary (0 or 1) when less than or equal to 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

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
ScalarLessThanOrEqual()
ScalarLessThanOrEqual(INDArray x, INDArray z, Number num)
ScalarLessThanOrEqual(INDArray x, Number num)
ScalarLessThanOrEqual(SameDiff sameDiff, SDVariable i_v, Number scalar)
ScalarLessThanOrEqual(SameDiff sameDiff, SDVariable i_v, Number scalar, boolean inPlace)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
String	opName() The name of the op
int	opNum() The number of the op (mainly for old legacy XYZ ops like Op)

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

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, getDimension, getOpType, opType, scalar, setDimension, setScalar, setScalar, validateDataTypes, z

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

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

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, propertiesForFunction, 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.ScalarOp

dimensions

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

clearArrays, extraArgs, extraArgsBuff, extraArgsDataBuff, setExtraArgs, setX, setY, setZ, toCustomOp, x, y

Constructor Detail

ScalarLessThanOrEqual

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

ScalarLessThanOrEqual

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

ScalarLessThanOrEqual

public ScalarLessThanOrEqual()

ScalarLessThanOrEqual

public ScalarLessThanOrEqual(INDArray x,
                             INDArray z,
                             Number num)

ScalarLessThanOrEqual

public ScalarLessThanOrEqual(INDArray x,
                             Number num)

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

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: