Class SConv2D
- java.lang.Object
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- org.nd4j.autodiff.functions.DifferentialFunction
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- org.nd4j.linalg.api.ops.DynamicCustomOp
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- org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
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- org.nd4j.linalg.api.ops.impl.layers.convolution.SConv2D
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- All Implemented Interfaces:
CustomOp
- Direct Known Subclasses:
SConv2DDerivative
public class SConv2D extends Conv2D
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Nested Class Summary
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Nested classes/interfaces inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
DynamicCustomOp.DynamicCustomOpsBuilder
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Field Summary
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Fields inherited from class org.nd4j.linalg.api.ops.DynamicCustomOp
axis, bArguments, dArguments, iArguments, inplaceCall, inputArguments, outputArguments, outputVariables, sArguments, tArguments
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Fields inherited from class org.nd4j.autodiff.functions.DifferentialFunction
dimensions, extraArgs, inPlace, ownName, ownNameSetWithDefault, sameDiff, scalarValue
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Constructor Summary
Constructors Constructor Description SConv2D()
SConv2D(@NonNull SameDiff sameDiff, @NonNull SDVariable layerInput, @NonNull SDVariable depthWeights, SDVariable pointWeights, SDVariable bias, @NonNull Conv2DConfig conv2DConfig)
SConv2D(@NonNull INDArray layerInput, @NonNull INDArray depthWeights, INDArray pointWeights, @NonNull Conv2DConfig Conv2DConfig)
SConv2D(SameDiff sameDiff, SDVariable[] inputFunctions, Conv2DConfig conv2DConfig)
SConv2D(INDArray[] inputs, INDArray[] outputs, Conv2DConfig config)
SConv2D(INDArray layerInput, INDArray depthWeights, INDArray pointWeights, INDArray bias, Conv2DConfig config)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method 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.long[]
iArgs()
boolean
isConfigProperties()
Returns true if the fields for this class should be looked up from a configuration class.String
onnxName()
The opName of this function in onnxString
opName()
This method returns op opName as stringString
tensorflowName()
The opName of this function tensorflowString[]
tensorflowNames()
The opName of this function tensorflow-
Methods inherited from class org.nd4j.linalg.api.ops.impl.layers.convolution.Conv2D
addArgs, attributeAdaptersForFunction, configureFromArguments, getValue, initConfig, initFromOnnx, initFromTensorFlow, mappingsForFunction, propertiesForFunction, setPropertiesForFunction
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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, dArgs, generateFake, generateFake, getBArgument, getDescriptor, getIArgument, getInputArgument, getOutputArgument, getSArgument, getTArgument, inputArguments, numBArguments, numDArguments, numIArguments, numInputArguments, numOutputArguments, numSArguments, numTArguments, opHash, opNum, opType, outputArguments, outputVariables, outputVariables, removeIArgument, removeInputArgument, removeOutputArgument, removeSArgument, removeTArgument, sArgs, setInputArgument, setInputArguments, setOutputArgument, setValueFor, tArgs, toString, wrapFilterNull, wrapOrNull, wrapOrNull
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Methods inherited from class org.nd4j.autodiff.functions.DifferentialFunction
arg, arg, argNames, args, configureWithSameDiff, diff, dup, equals, getBooleanFromProperty, getDoubleValueFromProperty, getIntValueFromProperty, getLongValueFromProperty, getNumOutputs, getStringFromProperty, hashCode, larg, onnxNames, outputs, outputVariable, outputVariablesNames, rarg, replaceArg, setInstanceId
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Methods inherited from class java.lang.Object
clone, finalize, getClass, notify, notifyAll, wait, wait, wait
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Methods inherited from interface org.nd4j.linalg.api.ops.CustomOp
isInplaceCall
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Constructor Detail
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SConv2D
public SConv2D(SameDiff sameDiff, SDVariable[] inputFunctions, Conv2DConfig conv2DConfig)
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SConv2D
public SConv2D(@NonNull @NonNull SameDiff sameDiff, @NonNull @NonNull SDVariable layerInput, @NonNull @NonNull SDVariable depthWeights, SDVariable pointWeights, SDVariable bias, @NonNull @NonNull Conv2DConfig conv2DConfig)
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SConv2D
public SConv2D(INDArray[] inputs, INDArray[] outputs, Conv2DConfig config)
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SConv2D
public SConv2D(@NonNull @NonNull INDArray layerInput, @NonNull @NonNull INDArray depthWeights, INDArray pointWeights, @NonNull @NonNull Conv2DConfig Conv2DConfig)
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SConv2D
public SConv2D(INDArray layerInput, INDArray depthWeights, INDArray pointWeights, INDArray bias, Conv2DConfig config)
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SConv2D
public SConv2D()
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Method Detail
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opName
public String opName()
Description copied from class:DynamicCustomOp
This method returns op opName as string
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doDiff
public List<SDVariable> doDiff(List<SDVariable> f1)
Description copied from class:DifferentialFunction
The actual implementation for automatic differentiation.
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iArgs
public long[] iArgs()
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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 classConv2D
- Returns:
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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 withDifferentialFunction.isConfigProperties()
to facilitate mapping fields for model import.- Overrides:
configFieldName
in classConv2D
- Returns:
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tensorflowNames
public String[] tensorflowNames()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowNames
in classConv2D
- Returns:
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onnxName
public String onnxName()
Description copied from class:DifferentialFunction
The opName of this function in onnx
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tensorflowName
public String tensorflowName()
Description copied from class:DifferentialFunction
The opName of this function tensorflow- Overrides:
tensorflowName
in classConv2D
- Returns:
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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 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:
calculateOutputDataTypes
in classConv2D
- Parameters:
inputDataTypes
- The data types of the inputs- Returns:
- The data types of the outputs
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