public class DeConv3D extends DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
Modifier and Type | Field and Description |
---|---|
protected DeConv3DConfig |
config |
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, tArguments
dimensions, extraArgs, inPlace, sameDiff, scalarValue
Constructor and Description |
---|
DeConv3D(INDArray[] inputs,
INDArray[] outputs,
DeConv3DConfig config) |
DeConv3D(INDArray input,
INDArray weights,
INDArray bias,
DeConv3DConfig config) |
DeConv3D(@NonNull INDArray input,
@NonNull INDArray weights,
INDArray bias,
INDArray output,
@NonNull DeConv3DConfig config) |
DeConv3D(SameDiff sameDiff,
@NonNull SDVariable input,
@NonNull SDVariable weights,
@NonNull DeConv3DConfig config) |
DeConv3D(SameDiff sameDiff,
@NonNull SDVariable input,
@NonNull SDVariable weights,
SDVariable bias,
@NonNull DeConv3DConfig config) |
Modifier and Type | Method and Description |
---|---|
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> f1)
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
|
addBArgument, addDArgument, addIArgument, addIArgument, addInputArgument, addOutputArgument, addTArgument, assertValidForExecution, bArgs, builder, calculateOutputShape, calculateOutputShape, clearArrays, dArgs, 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
arg, arg, argNames, args, attributeAdaptersForFunction, diff, dup, equals, getNumOutputs, hashCode, larg, mappingsForFunction, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId, setPropertiesForFunction, setValueFor, tensorflowNames
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
isInplaceCall
protected DeConv3DConfig config
public DeConv3D(SameDiff sameDiff, @NonNull @NonNull SDVariable input, @NonNull @NonNull SDVariable weights, SDVariable bias, @NonNull @NonNull DeConv3DConfig config)
public DeConv3D(SameDiff sameDiff, @NonNull @NonNull SDVariable input, @NonNull @NonNull SDVariable weights, @NonNull @NonNull DeConv3DConfig config)
public DeConv3D(INDArray[] inputs, INDArray[] outputs, DeConv3DConfig config)
public DeConv3D(@NonNull @NonNull INDArray input, @NonNull @NonNull INDArray weights, INDArray bias, INDArray output, @NonNull @NonNull DeConv3DConfig config)
public DeConv3D(INDArray input, INDArray weights, INDArray bias, DeConv3DConfig config)
public long[] iArgs()
iArgs
in interface CustomOp
iArgs
in class DynamicCustomOp
public Map<String,Object> propertiesForFunction()
DifferentialFunction
propertiesForFunction
in class DifferentialFunction
public boolean isConfigProperties()
DifferentialFunction
isConfigProperties
in class DifferentialFunction
public String configFieldName()
DifferentialFunction
DifferentialFunction.isConfigProperties()
to facilitate mapping fields for model import.configFieldName
in class DifferentialFunction
public Object getValue(Field property)
DifferentialFunction
getValue
in class DifferentialFunction
property
- the property to getpublic String opName()
DynamicCustomOp
opName
in interface CustomOp
opName
in class DynamicCustomOp
public List<SDVariable> doDiff(List<SDVariable> f1)
DifferentialFunction
doDiff
in class DynamicCustomOp
public List<DataType> calculateOutputDataTypes(List<DataType> inputDataTypes)
DifferentialFunction
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.calculateOutputDataTypes
in class DifferentialFunction
inputDataTypes
- The data types of the inputsCopyright © 2020. All rights reserved.