org.nd4j.linalg.api.ops.impl.layers.convolution

Class DepthwiseConv2DBp

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.layers.convolution.DepthwiseConv2DBp

All Implemented Interfaces:

CustomOp

public class DepthwiseConv2DBp
extends DynamicCustomOp

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 Conv2DConfig	config

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
DepthwiseConv2DBp(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable weights, @NonNull SDVariable gradO, @NonNull Conv2DConfig config)
DepthwiseConv2DBp(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable weights, SDVariable bias, @NonNull SDVariable gradO, @NonNull Conv2DConfig config)

Method Summary

Modifier and Type	Method and Description
protected void	addArgs()
List<DataType>	calculateOutputDataTypes(List<DataType> inputDataTypes) Calculate the data types for the output arrays.
String	configFieldName() Returns the name of the field to be used for looking up field names.
int	getNumOutputs()
Object	getValue(Field property) Get the value for a given property for this function
long[]	iArgs()
boolean	isConfigProperties() Returns true if the fields for this class should be looked up from a configuration class.
String	opName() This method returns op opName as string
Map<String,Object>	propertiesForFunction() Returns the properties for a given function

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

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

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

arg, arg, argNames, args, attributeAdaptersForFunction, diff, dup, equals, hashCode, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariablesNames, 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

config

protected Conv2DConfig config

Constructor Detail

DepthwiseConv2DBp

public DepthwiseConv2DBp(@NonNull
                         @NonNull SameDiff sameDiff,
                         @NonNull
                         @NonNull SDVariable input,
                         @NonNull
                         @NonNull SDVariable weights,
                         SDVariable bias,
                         @NonNull
                         @NonNull SDVariable gradO,
                         @NonNull
                         @NonNull Conv2DConfig config)

DepthwiseConv2DBp

public DepthwiseConv2DBp(@NonNull
                         @NonNull SameDiff sameDiff,
                         @NonNull
                         @NonNull SDVariable input,
                         @NonNull
                         @NonNull SDVariable weights,
                         @NonNull
                         @NonNull SDVariable gradO,
                         @NonNull
                         @NonNull Conv2DConfig config)

Method Detail

iArgs

public long[] iArgs()

Specified by:

iArgs in interface CustomOp

Overrides:

iArgs in class DynamicCustomOp

addArgs

protected void addArgs()

getValue

public Object getValue(Field property)

Description copied from class: DifferentialFunction

Get the value for a given property for this function

Overrides:

getValue in class DifferentialFunction

Parameters:

property - the property to get

Returns:

the value for the function if it exists

propertiesForFunction

public Map<String,Object> propertiesForFunction()

Description copied from class: DifferentialFunction

Returns the properties for a given function

Overrides:

propertiesForFunction in class DifferentialFunction

Returns:

isConfigProperties

public boolean isConfigProperties()

Description copied from class: DifferentialFunction

Returns true if the fields for this class should be looked up from a configuration class.

Overrides:

isConfigProperties in class DifferentialFunction

Returns:

configFieldName

public String configFieldName()

Description copied from class: DifferentialFunction

Returns the name of the field to be used for looking up field names. This should be used in conjunction with DifferentialFunction.isConfigProperties() to facilitate mapping fields for model import.

Overrides:

configFieldName in class DifferentialFunction

Returns:

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:

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

getNumOutputs

public int getNumOutputs()

Overrides:

getNumOutputs in class DifferentialFunction