@Namespace(value="nvinfer1") @NoOffset @Properties(inherit=nvinfer.class) public class IFillLayer extends ILayer
Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter| Constructor and Description |
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IFillLayer(Pointer p)
Pointer cast constructor.
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| Modifier and Type | Method and Description |
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double |
getAlpha()
\brief Get the value of alpha parameter.
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double |
getBeta()
\brief Get the value of beta parameter.
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Dims32 |
getDimensions()
\brief Get the output tensor's dimensions.
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nvinfer.FillOperation |
getOperation()
\brief Get the fill operation for the layer.
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void |
setAlpha(double alpha)
\brief Set the alpha parameter.
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void |
setBeta(double beta)
\brief Set the beta parameter.
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void |
setDimensions(Dims32 dimensions)
\brief Set the output tensor's dimensions.
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void |
setOperation(int op) |
void |
setOperation(nvinfer.FillOperation op)
\brief Set the fill operation for the layer.
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getInput, getMetadata, getName, getNbInputs, getNbOutputs, getOutput, getOutputType, getPrecision, getType, outputTypeIsSet, precisionIsSet, resetOutputType, resetPrecision, setInput, setMetadata, setMetadata, setName, setName, setOutputType, setOutputType, setPrecision, setPrecisionaddress, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, getDirectBufferAddress, getPointer, getPointer, getPointer, getPointer, hashCode, interruptDeallocatorThread, isNull, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetAddress, offsetof, offsetof, parseBytes, physicalBytes, physicalBytesInaccurate, position, position, put, realloc, referenceCount, releaseReference, retainReference, setNull, sizeof, sizeof, toString, totalBytes, totalCount, totalPhysicalBytes, withDeallocator, zeropublic IFillLayer(Pointer p)
Pointer(Pointer).@NoException(value=true) public void setDimensions(@ByVal @Cast(value="nvinfer1::Dims*") Dims32 dimensions)
dimensions - The output tensor's dimensions.
If the first input had been used to create this layer, that input is reset to null by this method.getDimensions@ByVal @Cast(value="nvinfer1::Dims*") @NoException(value=true) public Dims32 getDimensions()
setDimensions@NoException(value=true) public void setOperation(nvinfer.FillOperation op)
getOperation(), FillOperation@NoException(value=true) public void setOperation(@Cast(value="nvinfer1::FillOperation") int op)
@NoException(value=true) public nvinfer.FillOperation getOperation()
setOperation(), FillOperation@NoException(value=true) public void setAlpha(double alpha)
alpha - has different meanings for each operator:
Operation | Usage
kLINSPACE | the start value, defaults to 0.0;
kRANDOM_UNIFORM | the minimum value, defaults to 0.0;
kRANDOM_NORMAL | the mean of the normal distribution, default is 0.0;
If a second input had been used to create this layer, that input is reset to null by this method.getAlpha@NoException(value=true) public double getAlpha()
setAlpha@NoException(value=true) public void setBeta(double beta)
beta - has different meanings for each operator:
Operation | Usage
kLINSPACE | the delta value, defaults to 1.0;
kRANDOM_UNIFORM | the maximal value, defaults to 1.0;
kRANDOM_NORMAL | the standard deviation of the normal distribution, default is 1.0;
If a third input had been used to create this layer, that input is reset to null by this method.getBeta@NoException(value=true) public double getBeta()
setBetaCopyright © 2024. All rights reserved.