org.nd4j.linalg.api.ops.impl.controlflow.compat

Class Switch

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

org.nd4j.linalg.api.ops.impl.controlflow.compat.Switch

All Implemented Interfaces:

CustomOp

public class Switch
extends BaseCompatOp

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
static String	OP_NAME WARNING: do not change without changing serialization methods See org.nd4j.autodiff.samediff.serde.FlatBuffersMapper#getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)
static int	OP_NUM

Fields inherited from class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

frameName

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

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

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

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

Constructor Summary

Constructors

Constructor and Description
Switch()
Switch(INDArray input, INDArray predicate)
Switch(SameDiff sameDiff, SDVariable input, SDVariable predicate)

Method Summary

Modifier and Type	Method and Description
List<DataType>	calculateOutputDataTypes(List<DataType> inputDataTypes) Calculate the data types for the output arrays.
void	configureFromArguments() This allows a custom op to configure relevant fields from its arguments.
void	configureWithSameDiff(SameDiff sameDiff)
int	getNumOutputs()
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[]	outputVariables() Return the output variables for this differential function.
void	setPropertiesForFunction(Map<String,Object> properties)
String	tensorflowName() The opName of this function tensorflow

Methods inherited from class org.nd4j.linalg.api.ops.impl.controlflow.compat.BaseCompatOp

addSArgument, attributeAdaptersForFunction, calculateOutputShape, computeArrays, getFrameName, mappingsForFunction, propertiesForFunction, setFrameName

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

addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, clearArrays, dArgs, doDiff, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, getValue, iArgs, initFromOnnx, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, outputArguments, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setValueFor, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull

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

arg, arg, argNames, args, configFieldName, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getStringFromProperty, hashCode, isConfigProperties, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, 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

OP_NAME

public static final String OP_NAME

WARNING: do not change without changing serialization methods See org.nd4j.autodiff.samediff.serde.FlatBuffersMapper#getOpNum(String, Type) and DifferentialFunctionClassHolder.customOpClassForHashAndName(long, String)

See Also:

Constant Field Values

OP_NUM

public static final int OP_NUM

See Also:

Constant Field Values

Constructor Detail

Switch

public Switch(SameDiff sameDiff,
              SDVariable input,
              SDVariable predicate)

Switch

public Switch(INDArray input,
              INDArray predicate)

Switch

public Switch()

Method Detail

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:

outputVariables

public SDVariable[] outputVariables()

Description copied from class: DifferentialFunction

Return the output variables for this differential function. Note that this op *may* dynamically generate variable outputs.

Overrides:

outputVariables in class DynamicCustomOp

Returns:

tensorflowName

public String tensorflowName()

Description copied from class: DifferentialFunction

The opName of this function tensorflow

Overrides:

tensorflowName in class DynamicCustomOp

Returns:

opType

public Op.Type opType()

Description copied from class: DifferentialFunction

The type of the op

Overrides:

opType 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 BaseCompatOp

configureFromArguments

public void configureFromArguments()

Description copied from interface: CustomOp

This allows a custom op to configure relevant fields from its arguments. This is needed when ops are created via reflection for things like model import.

Specified by:

configureFromArguments in interface CustomOp

Overrides:

configureFromArguments in class BaseCompatOp

setPropertiesForFunction

public void setPropertiesForFunction(Map<String,Object> properties)

Overrides:

setPropertiesForFunction in class BaseCompatOp

configureWithSameDiff

public void configureWithSameDiff(SameDiff sameDiff)

Overrides:

configureWithSameDiff in class BaseCompatOp

getNumOutputs

public int getNumOutputs()

Overrides:

getNumOutputs in class DifferentialFunction

calculateOutputDataTypes

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

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:

inputDataTypes - The data types of the inputs

Returns:

The data types of the outputs