org.nd4j.linalg.api.ops.impl.meta

Class PostulateMetaOp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.BaseOp

org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

org.nd4j.linalg.api.ops.impl.meta.BaseMetaOp

org.nd4j.linalg.api.ops.impl.meta.PostulateMetaOp

All Implemented Interfaces:

GridOp, MetaOp, Op

public class PostulateMetaOp
extends BaseMetaOp

You're NOT supposed to directly call this op. Do it on your own risk, only if you're absolutely have to.

Author:

raver119@gmail.com

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.impl.grid.BaseGridOp

grid, queuedOps

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
PostulateMetaOp()
PostulateMetaOp(INDArray x, INDArray y)
PostulateMetaOp(OpDescriptor opA, OpDescriptor opB)
PostulateMetaOp(ScalarOp opA, Accumulation opB)
PostulateMetaOp(TransformOp opA, Accumulation opB)

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.impl.meta.BaseMetaOp

getFirstOp, getFirstOpDescriptor, getSecondOp, getSecondOpDescriptor, setFirstPointers, setSecondPointers

Methods inherited from class org.nd4j.linalg.api.ops.impl.grid.BaseGridOp

getGridDescriptor, onnxName, tensorflowName

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, z

Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction

arg, args, asProperties, attributeAdaptersForFunction, calculateOutputShape, configFieldName, diff, dup, f, getValue, hasPlaceHolderInputs, isConfigProperties, larg, mappingsForFunction, onnxNames, opType, 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.GridOp

getGridDescriptor

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, z

Constructor Detail

PostulateMetaOp

public PostulateMetaOp()

PostulateMetaOp

public PostulateMetaOp(INDArray x,
                       INDArray y)

PostulateMetaOp

public PostulateMetaOp(ScalarOp opA,
                       Accumulation opB)

PostulateMetaOp

public PostulateMetaOp(TransformOp opA,
                       Accumulation opB)

PostulateMetaOp

public PostulateMetaOp(OpDescriptor opA,
                       OpDescriptor opB)

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: