public class ConcatBp extends DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
Constructor and Description |
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ConcatBp() |
ConcatBp(@NonNull SameDiff sameDiff,
int concatDimension,
SDVariable... inputsAndGrad) |
ConcatBp(@NonNull SameDiff sameDiff,
SDVariable... inputsGradAxis) |
Modifier and Type | Method and Description |
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List<DataType> |
calculateOutputDataTypes(List<DataType> dataTypes)
Calculate the data types for the output arrays.
|
int |
getNumOutputs() |
String |
opName()
This method returns op opName as string
|
Op.Type |
opType()
The type of the op
|
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, dArgs, doDiff, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, initFromTensorFlow, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, onnxName, opHash, opNum, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, setInputArgument, setInputArguments, setOutputArgument, tArgs, tensorflowName, toString, wrapFilterNull, wrapOrNull, wrapOrNull
arg, arg, argNames, args, attributeAdaptersForFunction, configFieldName, diff, dup, equals, getValue, hashCode, isConfigProperties, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariablesNames, propertiesForFunction, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
public ConcatBp()
public ConcatBp(@NonNull @NonNull SameDiff sameDiff, int concatDimension, @NonNull SDVariable... inputsAndGrad)
sameDiff
- concatDimension
- inputsAndGrad
- Original inputs, followed by output gradientpublic ConcatBp(@NonNull @NonNull SameDiff sameDiff, @NonNull SDVariable... inputsGradAxis)
sameDiff
- SameDiff instanceinputsGradAxis
- Inputs, gradient array, and axispublic String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
in class DynamicCustomOp
public Op.Type opType()
DifferentialFunction
opType
in class DynamicCustomOp
public int getNumOutputs()
getNumOutputs
in class DifferentialFunction
public List<DataType> calculateOutputDataTypes(List<DataType> dataTypes)
DifferentialFunction
DifferentialFunction.calculateOutputShape()
, this method differs in that it does not
require the input arrays to be populated.
This is important as it allows us to do greedy datatype inference for the entire net - even if arrays are not
available.calculateOutputDataTypes
in class DifferentialFunction
dataTypes
- The data types of the inputsCopyright © 2021. All rights reserved.