Class Conv1DDerivative
- java.lang.Object
-
- org.nd4j.autodiff.functions.DifferentialFunction
-
- org.nd4j.linalg.api.ops.DynamicCustomOp
-
- org.nd4j.linalg.api.ops.impl.layers.convolution.Conv1DDerivative
-
- All Implemented Interfaces:
CustomOp
public class Conv1DDerivative 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 Conv1DConfigconfig-
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 Conv1DDerivative(@NonNull SameDiff sameDiff, @NonNull SDVariable[] inputs, @NonNull Conv1DConfig config)Conv1DDerivative(@NonNull SameDiff sd, @NonNull SDVariable input, @NonNull SDVariable weights, SDVariable bias, SDVariable gradOut, @NonNull Conv1DConfig config)Conv1DDerivative(@NonNull INDArray input, @NonNull INDArray weights, INDArray bias, @NonNull INDArray gradOut, INDArray output, @NonNull Conv1DConfig config)Conv1DDerivative(INDArray[] inputs, INDArray[] outputs, Conv1DConfig config)
-
Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description protected voidaddArgs()List<DataType>calculateOutputDataTypes(List<DataType> inputDataTypes)Calculate the data types for the output arrays.StringconfigFieldName()Returns the name of the field to be used for looking up field names.intgetNumOutputs()ObjectgetValue(Field property)Get the value for a given property for this functionlong[]iArgs()booleanisConfigProperties()Returns true if the fields for this class should be looked up from a configuration class.StringopName()This method returns op opName as stringMap<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, doDiff, 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, 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
-
Conv1DDerivative
public Conv1DDerivative(@NonNull @NonNull SameDiff sameDiff, @NonNull @NonNull SDVariable[] inputs, @NonNull @NonNull Conv1DConfig config)
-
Conv1DDerivative
public Conv1DDerivative(@NonNull @NonNull SameDiff sd, @NonNull @NonNull SDVariable input, @NonNull @NonNull SDVariable weights, SDVariable bias, SDVariable gradOut, @NonNull @NonNull Conv1DConfig config)
-
Conv1DDerivative
public Conv1DDerivative(INDArray[] inputs, INDArray[] outputs, Conv1DConfig config)
-
-
Method Detail
-
addArgs
protected void addArgs()
-
iArgs
public long[] iArgs()
- Specified by:
iArgsin interfaceCustomOp- Overrides:
iArgsin classDynamicCustomOp
-
getValue
public Object getValue(Field property)
Description copied from class:DifferentialFunctionGet the value for a given property for this function- Overrides:
getValuein classDynamicCustomOp- 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:DifferentialFunctionReturns the properties for a given function- Overrides:
propertiesForFunctionin classDynamicCustomOp- Returns:
-
isConfigProperties
public boolean isConfigProperties()
Description copied from class:DifferentialFunctionReturns true if the fields for this class should be looked up from a configuration class.- Overrides:
isConfigPropertiesin classDifferentialFunction- Returns:
-
configFieldName
public String configFieldName()
Description copied from class:DifferentialFunctionReturns the name of the field to be used for looking up field names. This should be used in conjunction withDifferentialFunction.isConfigProperties()to facilitate mapping fields for model import.- Overrides:
configFieldNamein classDifferentialFunction- Returns:
-
opName
public String opName()
Description copied from class:DynamicCustomOpThis method returns op opName as string- Specified by:
opNamein interfaceCustomOp- Overrides:
opNamein classDynamicCustomOp- Returns:
-
getNumOutputs
public int getNumOutputs()
- Overrides:
getNumOutputsin classDifferentialFunction
-
calculateOutputDataTypes
public List<DataType> calculateOutputDataTypes(List<DataType> inputDataTypes)
Description copied from class:DifferentialFunctionCalculate the data types for the output arrays. Though datatypes can also be inferred fromDifferentialFunction.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:
calculateOutputDataTypesin classDifferentialFunction- Parameters:
inputDataTypes- The data types of the inputs- Returns:
- The data types of the outputs
-
-