org.nd4j.linalg.api.ops.impl.shape.tensorops

Class TensorArray

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

org.nd4j.linalg.api.ops.impl.shape.tensorops.TensorArray

All Implemented Interfaces:

CustomOp

public class TensorArray
extends BaseTensorOp

Nested Class Summary

Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

DynamicCustomOp.DynamicCustomOpsBuilder

Field Summary

Fields

Modifier and Type	Field and Description
protected DataType	tensorArrayDataType

Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp

axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments

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

dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue

Constructor Summary

Constructors

Constructor and Description
TensorArray()
TensorArray(DataType dataType)
TensorArray(SameDiff sameDiff, DataType dataType)
TensorArray(String name, SameDiff sameDiff, DataType dataType)
TensorArray(TensorArray ta)
TensorArray(TensorArray ta, SDVariable[] inputs)

Method Summary

Modifier and Type	Method and Description
List<DataType>	calculateOutputDataTypes(List<DataType> inputDataType) Calculate the data types for the output arrays.
SDVariable	concat(SDVariable flow)
SDVariable	gather(SDVariable flow, int... indices)
SDVariable	gather(SDVariable flow, SDVariable indices)
int	getNumOutputs()
SameDiff	getSameDiff()
void	initFromTensorFlow(NodeDef nodeDef, SameDiff initWith, Map<String,AttrValue> attributesForNode, GraphDef graph) Initialize the function from the given NodeDef
String	opName() This method returns op opName as string
Op.Type	opType() The type of the op
SDVariable	read(int index)
SDVariable	read(SDVariable index)
SDVariable	scatter(SDVariable flow, SDVariable value, int... indices)
SDVariable	scatter(SDVariable flow, SDVariable value, SDVariable indices)
SDVariable	stack(SDVariable flow)
String	tensorflowName() The opName of this function tensorflow
String	toString()
SDVariable	unstack(SDVariable flow, SDVariable value)
SDVariable	write(SDVariable flow, int index, SDVariable value)
SDVariable	write(SDVariable flow, SDVariable index, SDVariable value)

Methods inherited from class org.nd4j.linalg.api.ops.impl.shape.tensorops.BaseTensorOp

calculateOutputShape, doDiff, onnxName

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

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, wrapFilterNull, wrapOrNull, wrapOrNull

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

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

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp

isInplaceCall

Field Detail

tensorArrayDataType

protected DataType tensorArrayDataType

Constructor Detail

TensorArray

public TensorArray(String name,
                   SameDiff sameDiff,
                   DataType dataType)

TensorArray

public TensorArray(SameDiff sameDiff,
                   DataType dataType)

TensorArray

public TensorArray(TensorArray ta)

TensorArray

public TensorArray(TensorArray ta,
                   SDVariable[] inputs)

TensorArray

public TensorArray()

TensorArray

public TensorArray(DataType dataType)

Method Detail

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

initFromTensorFlow

public void initFromTensorFlow(NodeDef nodeDef,
                               SameDiff initWith,
                               Map<String,AttrValue> attributesForNode,
                               GraphDef graph)

Description copied from class: DifferentialFunction

Initialize the function from the given NodeDef

Overrides:

initFromTensorFlow in class BaseTensorOp

toString

public String toString()

Overrides:

toString in class BaseTensorOp

opName

public String opName()

Description copied from class: DynamicCustomOp

This method returns op opName as string

Specified by:

opName in interface CustomOp

Overrides:

opName in class DynamicCustomOp

Returns:

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType in class BaseTensorOp

Returns:

getSameDiff

public SameDiff getSameDiff()

read

public SDVariable read(int index)

read

public SDVariable read(SDVariable index)

gather

public SDVariable gather(SDVariable flow,
                         int... indices)

gather

public SDVariable gather(SDVariable flow,
                         SDVariable indices)

stack

public SDVariable stack(SDVariable flow)

concat

public SDVariable concat(SDVariable flow)

write

public SDVariable write(SDVariable flow,
                        int index,
                        SDVariable value)

write

public SDVariable write(SDVariable flow,
                        SDVariable index,
                        SDVariable value)

scatter

public SDVariable scatter(SDVariable flow,
                          SDVariable value,
                          int... indices)

scatter

public SDVariable scatter(SDVariable flow,
                          SDVariable value,
                          SDVariable indices)

unstack

public SDVariable unstack(SDVariable flow,
                          SDVariable value)

calculateOutputDataTypes

public List<DataType> calculateOutputDataTypes(List<DataType> inputDataType)

Description copied from class: DifferentialFunction

Calculate the data types for the output arrays. Though datatypes can also be inferred from 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.

Overrides:

calculateOutputDataTypes in class DifferentialFunction

Parameters:

inputDataType - The data types of the inputs

Returns:

The data types of the outputs

getNumOutputs

public int getNumOutputs()

Overrides:

getNumOutputs in class BaseTensorOp