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

Class Conv1D

java.lang.Object

org.nd4j.autodiff.functions.DifferentialFunction

org.nd4j.linalg.api.ops.DynamicCustomOp

org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1D

All Implemented Interfaces:

CustomOp

public class Conv1D
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	Description
protected Conv1DConfig	config

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	Description
Conv1D(@NonNull SameDiff sameDiff, @NonNull SDVariable input, @NonNull SDVariable weights, SDVariable bias, @NonNull Conv1DConfig conv1DConfig)
Conv1D(@NonNull INDArray input, @NonNull INDArray weights, INDArray bias, INDArray output, @NonNull Conv1DConfig config)
Conv1D(SameDiff sameDiff, SDVariable[] inputFunctions, Conv1DConfig config)
Conv1D(INDArray[] inputs, INDArray[] outputs, Conv1DConfig config)
Conv1D(INDArray input, INDArray weights, INDArray bias, Conv1DConfig config)

Method Summary

Modifier and Type	Method	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.
List<SDVariable>	doDiff(List<SDVariable> grads)	The actual implementation for automatic differentiation.
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, addOutputsToOp, addSArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, computeArrays, configureFromArguments, dArgs, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, initFromOnnx, initFromTensorFlow, inputArguments, mappingsForFunction, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, onnxName, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setPropertiesForFunction, setValueFor, tArgs, tensorflowName, toString, wrapFilterNull, wrapOrNull, wrapOrNull

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

arg, arg, argNames, args, attributeAdaptersForFunction, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, 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

config

protected Conv1DConfig config

Constructor Detail

Conv1D

public Conv1D(@NonNull
              @NonNull SameDiff sameDiff,
              @NonNull
              @NonNull SDVariable input,
              @NonNull
              @NonNull SDVariable weights,
              SDVariable bias,
              @NonNull
              @NonNull Conv1DConfig conv1DConfig)

Conv1D

public Conv1D(SameDiff sameDiff,
              SDVariable[] inputFunctions,
              Conv1DConfig config)

Conv1D

public Conv1D(INDArray[] inputs,
              INDArray[] outputs,
              Conv1DConfig config)

Conv1D

public Conv1D(@NonNull
              @NonNull INDArray input,
              @NonNull
              @NonNull INDArray weights,
              INDArray bias,
              INDArray output,
              @NonNull
              @NonNull Conv1DConfig config)

Conv1D

public Conv1D(INDArray input,
              INDArray weights,
              INDArray bias,
              Conv1DConfig config)

Method Detail

addArgs

protected void addArgs()

iArgs

public long[] iArgs()

Specified by:

iArgs in interface CustomOp

Overrides:

iArgs in class DynamicCustomOp

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 DynamicCustomOp

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 DynamicCustomOp

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

doDiff

public List<SDVariable> doDiff(List<SDVariable> grads)

Description copied from class: DifferentialFunction

The actual implementation for automatic differentiation.

Overrides:

doDiff in class DynamicCustomOp

Returns: