org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool

Class Or

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.BaseTransformBoolOp

org.nd4j.linalg.api.ops.impl.transforms.pairwise.bool.Or

All Implemented Interfaces:

Op, TransformOp, TransformSameOp

public class Or
extends BaseTransformBoolOp

Nested Class Summary

Nested classes/interfaces inherited from interface org.nd4j.linalg.api.ops.Op

Op.Type

Field Summary

Fields

Modifier and Type	Field and Description
protected double	comparable

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
Or()
Or(@NonNull INDArray x, @NonNull INDArray y)
Or(@NonNull INDArray x, @NonNull INDArray y, INDArray z)
Or(@NonNull INDArray x, @NonNull INDArray y, INDArray z, Number comparable)
Or(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable)
Or(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2)
Or(SameDiff sameDiff, SDVariable i_v1, SDVariable i_v2, boolean inPlace)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> i_v) The actual implementation for automatic differentiation.
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

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

calculateOutputDataTypes, calculateOutputShape, calculateOutputShape, resultType, resultType, validateDataTypes

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

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, outputVariables, setX, setY, setZ, 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.Op

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

Field Detail

comparable

protected double comparable

Constructor Detail

Or

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

Or

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

Or

public Or(SameDiff sameDiff,
          SDVariable i_v,
          boolean inPlace,
          double comparable)

Or

public Or()

Or

public Or(@NonNull
          @NonNull INDArray x,
          @NonNull
          @NonNull INDArray y)

Or

public Or(@NonNull
          @NonNull INDArray x,
          @NonNull
          @NonNull INDArray y,
          INDArray z)

Or

public Or(@NonNull
          @NonNull INDArray x,
          @NonNull
          @NonNull INDArray y,
          INDArray z,
          Number comparable)

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:

getOpType

public Op.Type getOpType()

Specified by:

getOpType in interface TransformOp

Overrides:

getOpType in class BaseTransformBoolOp

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseTransformBoolOp

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

Overrides:

onnxName in class BaseOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class BaseOp

Returns:

doDiff

public List<SDVariable> doDiff(List<SDVariable> i_v)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Specified by:

doDiff in class DifferentialFunction

Returns: