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

Class And

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.And

All Implemented Interfaces:

Op, TransformOp

public class And
extends BaseTransformOp

Boolean AND pairwise transform

Author:

raver119@gmail.com

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

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
And()
And(INDArray x, INDArray y)
And(INDArray x, INDArray y, INDArray z)
And(INDArray x, INDArray y, INDArray z, long n)
And(INDArray x, INDArray y, INDArray z, Number comparable)
And(INDArray x, INDArray y, INDArray z, Number comparable, long n)
And(INDArray x, INDArray y, long n)
And(INDArray x, INDArray y, Number comparable)
And(SameDiff sameDiff, SDVariable i_v, boolean inPlace)
And(SameDiff sameDiff, SDVariable i_v, boolean inPlace, double comparable)
And(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs)
And(SameDiff sameDiff, SDVariable i_v, int[] shape, boolean inPlace, Object[] extraArgs, double comparable)
And(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs)
And(SameDiff sameDiff, SDVariable i_v, Object[] extraArgs, double comparable)
And(SameDiff sameDiff, SDVariable ix, SDVariable iy)

Method Summary

Modifier and Type	Method and Description
List<SDVariable>	doDiff(List<SDVariable> f1) The actual implementation for automatic differentiation.
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, 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

Field Detail

comparable

protected double comparable

Constructor Detail

And

public And(SameDiff sameDiff,
           SDVariable ix,
           SDVariable iy)

And

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

And

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

And

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

And

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

And

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

And

public And(SameDiff sameDiff,
           SDVariable i_v,
           Object[] extraArgs,
           double comparable)

And

public And()

And

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

And

public And(@NonNull
           INDArray x,
           @NonNull
           INDArray y,
           Number comparable)

And

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

And

public And(@NonNull
           INDArray x,
           @NonNull
           INDArray y,
           long n)

And

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

And

public And(@NonNull
           INDArray x,
           @NonNull
           INDArray y,
           INDArray z,
           long n)

And

public And(@NonNull
           INDArray x,
           @NonNull
           INDArray y,
           INDArray z,
           Number comparable,
           long n)

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:

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: