public class TensorArrayWrite extends BaseTensorOp
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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TensorArrayWrite() |
TensorArrayWrite(SameDiff sameDiff,
SDVariable[] args) |
TensorArrayWrite(String name,
SameDiff sameDiff,
SDVariable[] args) |
Modifier and Type | Method and Description |
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List<DataType> |
calculateOutputDataTypes(List<DataType> inputDataType)
Calculate the data types for the output arrays.
|
String |
opName()
This method returns op opName as string
|
Op.Type |
opType()
The type of the op
|
String[] |
tensorflowNames()
The opName of this function tensorflow
|
calculateOutputShape, doDiff, getNumOutputs, initFromTensorFlow, onnxName, toString
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, clearArrays, dArgs, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getTArgument, iArgs, initFromOnnx, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numTArguments, opHash, opNum, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeTArgument, setInputArgument, setInputArguments, setOutputArgument, tArgs, tensorflowName, 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
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
public TensorArrayWrite(String name, SameDiff sameDiff, SDVariable[] args)
public TensorArrayWrite(SameDiff sameDiff, SDVariable[] args)
public TensorArrayWrite()
public String[] tensorflowNames()
DifferentialFunction
tensorflowNames
in class DifferentialFunction
public String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
in class DynamicCustomOp
public Op.Type opType()
DifferentialFunction
opType
in class BaseTensorOp
public List<DataType> calculateOutputDataTypes(List<DataType> inputDataType)
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
inputDataType
- The data types of the inputsCopyright © 2021. All rights reserved.