org.bytedeco.tensorrt.nvinfer

Class IPoolingLayer

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.tensorrt.nvinfer.INoCopy

org.bytedeco.tensorrt.nvinfer.ILayer

org.bytedeco.tensorrt.nvinfer.IPoolingLayer

All Implemented Interfaces:

AutoCloseable

@Namespace(value="nvinfer1")
 @NoOffset
 @Properties(inherit=nvinfer.class)
public class IPoolingLayer
extends ILayer

\class IPoolingLayer \brief A Pooling layer in a network definition. The layer applies a reduction operation within a window over the input. \warning When running pooling layer with DeviceType::kDLA in Int8 mode, the dynamic ranges for input and output tensors must be equal. \warning Do not inherit from this class, as doing so will break forward-compatibility of the API and ABI.

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

Pointer.CustomDeallocator, Pointer.Deallocator, Pointer.NativeDeallocator, Pointer.ReferenceCounter

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
IPoolingLayer(Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
boolean	getAverageCountExcludesPadding() \brief Get whether average pooling uses as a denominator the overlap area between the window and the unpadded input.
float	getBlendFactor() \brief Get the blending factor for the max_average_blend mode: max_average_blendPool = (1-blendFactor)*maxPool + blendFactor*avgPool blendFactor is a user value in [0,1] with the default value of 0.0 In modes other than kMAX_AVERAGE_BLEND, blendFactor is ignored.
DimsHW	getPadding() Deprecated. Superseded by getPaddingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
nvinfer.PaddingMode	getPaddingMode() \brief Get the padding mode.
Dims32	getPaddingNd() \brief Get the multi-dimension padding for pooling.
nvinfer.PoolingType	getPoolingType() \brief Get the type of activation to be performed.
Dims32	getPostPadding() \brief Get the padding.
Dims32	getPrePadding() \brief Get the pre-padding.
DimsHW	getStride() Deprecated. Superseded by getStrideNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
Dims32	getStrideNd() \brief Get the multi-dimension stride for pooling.
DimsHW	getWindowSize() Deprecated. Superseded by getWindowSizeNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
Dims32	getWindowSizeNd() \brief Get the multi-dimension window size for pooling.
void	setAverageCountExcludesPadding(boolean exclusive) \brief Set whether average pooling uses as a denominator the overlap area between the window and the unpadded input.
void	setBlendFactor(float blendFactor) \brief Set the blending factor for the max_average_blend mode: max_average_blendPool = (1-blendFactor)*maxPool + blendFactor*avgPool blendFactor is a user value in [0,1] with the default value of 0.0 This value only applies for the kMAX_AVERAGE_BLEND mode.
void	setPadding(DimsHW padding) Deprecated. Superseded by setPaddingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
void	setPaddingMode(int paddingMode)
void	setPaddingMode(nvinfer.PaddingMode paddingMode) \brief Set the padding mode.
void	setPaddingNd(Dims32 padding) \brief Set the multi-dimension padding for pooling.
void	setPoolingType(int type)
void	setPoolingType(nvinfer.PoolingType type) \brief Set the type of activation to be performed.
void	setPostPadding(Dims32 padding) \brief Set the multi-dimension post-padding for pooling.
void	setPrePadding(Dims32 padding) \brief Set the multi-dimension pre-padding for pooling.
void	setStride(DimsHW stride) Deprecated. Superseded by setStrideNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
void	setStrideNd(Dims32 stride) \brief Set the multi-dimension stride for pooling.
void	setWindowSize(DimsHW windowSize) Deprecated. Superseded by setWindowSizeNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0
void	setWindowSizeNd(Dims32 windowSize) \brief Set the multi-dimension window size for pooling.

Methods inherited from class org.bytedeco.tensorrt.nvinfer.ILayer

getInput, getMetadata, getName, getNbInputs, getNbOutputs, getOutput, getOutputType, getPrecision, getType, outputTypeIsSet, precisionIsSet, resetOutputType, resetPrecision, setInput, setMetadata, setMetadata, setName, setName, setOutputType, setOutputType, setPrecision, setPrecision

Methods inherited from class org.bytedeco.javacpp.Pointer

address, 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, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

IPoolingLayer

public IPoolingLayer(Pointer p)

Pointer cast constructor. Invokes Pointer(Pointer).

Method Detail

setPoolingType

@NoException(value=true)
public void setPoolingType(nvinfer.PoolingType type)

\brief Set the type of activation to be performed. DLA only supports kMAX and kAVERAGE pooling types.

See Also:

getPoolingType(), PoolingType

setPoolingType

@NoException(value=true)
public void setPoolingType(@Cast(value="nvinfer1::PoolingType")
                                                    int type)

getPoolingType

@NoException(value=true)
public nvinfer.PoolingType getPoolingType()

\brief Get the type of activation to be performed.

See Also:

setPoolingType(), PoolingType

setWindowSize

@Deprecated
 @NoException(value=true)
public void setWindowSize(@ByVal
                                                                DimsHW windowSize)

Deprecated. Superseded by setWindowSizeNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Set the window size for pooling. If executing this layer on DLA, both height and width of window size must be in the range [1,8].

See Also:

getWindowSize()

getWindowSize

@Deprecated
 @ByVal
 @NoException(value=true)
public DimsHW getWindowSize()

Deprecated. Superseded by getWindowSizeNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Get the window size for pooling.

See Also:

setWindowSize()

setStride

@Deprecated
 @NoException(value=true)
public void setStride(@ByVal
                                                            DimsHW stride)

Deprecated. Superseded by setStrideNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Set the stride for pooling. Default: 1 If executing this layer on DLA, both height and width of stride must be in the range [1,16].

See Also:

getStride()

getStride

@Deprecated
 @ByVal
 @NoException(value=true)
public DimsHW getStride()

Deprecated. Superseded by getStrideNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Get the stride for pooling.

See Also:

setStride()

setPadding

@Deprecated
 @NoException(value=true)
public void setPadding(@ByVal
                                                             DimsHW padding)

Deprecated. Superseded by setPaddingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Set the padding for pooling. Default: 0 If executing this layer on DLA, both height and width of padding must be in the range [0,7].

See Also:

getPadding()

getPadding

@Deprecated
 @ByVal
 @NoException(value=true)
public DimsHW getPadding()

Deprecated. Superseded by getPaddingNd. Deprecated prior to TensorRT 8.0 and will be removed in 9.0

\brief Get the padding for pooling. Default: 0

See Also:

setPadding()

setBlendFactor

@NoException(value=true)
public void setBlendFactor(float blendFactor)

\brief Set the blending factor for the max_average_blend mode: max_average_blendPool = (1-blendFactor)*maxPool + blendFactor*avgPool blendFactor is a user value in [0,1] with the default value of 0.0 This value only applies for the kMAX_AVERAGE_BLEND mode. Since DLA does not support kMAX_AVERAGE_BLEND, blendFactor is ignored on the DLA.

See Also:

getBlendFactor()

getBlendFactor

@NoException(value=true)
public float getBlendFactor()

\brief Get the blending factor for the max_average_blend mode: max_average_blendPool = (1-blendFactor)*maxPool + blendFactor*avgPool blendFactor is a user value in [0,1] with the default value of 0.0 In modes other than kMAX_AVERAGE_BLEND, blendFactor is ignored.

See Also:

setBlendFactor()

setAverageCountExcludesPadding

@NoException(value=true)
public void setAverageCountExcludesPadding(@Cast(value="bool")
                                                                    boolean exclusive)

\brief Set whether average pooling uses as a denominator the overlap area between the window and the unpadded input. If this is not set, the denominator is the overlap between the pooling window and the padded input. Default: true \note On Xavier, DLA supports only inclusive padding and this must be explicitly set to false.

See Also:

getAverageCountExcludesPadding()

getAverageCountExcludesPadding

@Cast(value="bool")
 @NoException(value=true)
public boolean getAverageCountExcludesPadding()

\brief Get whether average pooling uses as a denominator the overlap area between the window and the unpadded input.

See Also:

setAverageCountExcludesPadding()

setPrePadding

@NoException(value=true)
public void setPrePadding(@ByVal @Cast(value="nvinfer1::Dims*")
                                                   Dims32 padding)

\brief Set the multi-dimension pre-padding for pooling. The start of the input will be padded by this number of elements in each dimension. Padding value depends on pooling type, -inf is used for max pooling and zero padding for average pooling. Default: (0, 0, ..., 0) If executing this layer on DLA, only support 2D padding, both height and width of padding must be in the range [0,7].

See Also:

getPrePadding()

getPrePadding

@ByVal
 @Cast(value="nvinfer1::Dims*")
 @NoException(value=true)
public Dims32 getPrePadding()

\brief Get the pre-padding.

See Also:

setPrePadding()

setPostPadding

@NoException(value=true)
public void setPostPadding(@ByVal @Cast(value="nvinfer1::Dims*")
                                                    Dims32 padding)

\brief Set the multi-dimension post-padding for pooling. The end of the input will be padded by this number of elements in each dimension. Padding value depends on pooling type, -inf is used for max pooling and zero padding for average pooling. Default: (0, 0, ..., 0) If executing this layer on DLA, only support 2D padding, both height and width of padding must be in the range [0,7].

See Also:

getPostPadding()

getPostPadding

@ByVal
 @Cast(value="nvinfer1::Dims*")
 @NoException(value=true)
public Dims32 getPostPadding()

\brief Get the padding.

See Also:

setPostPadding()

setPaddingMode

@NoException(value=true)
public void setPaddingMode(nvinfer.PaddingMode paddingMode)

\brief Set the padding mode. Padding mode takes precedence if both setPaddingMode and setPre/PostPadding are used. Default: kEXPLICIT_ROUND_DOWN

See Also:

getPaddingMode()

setPaddingMode

@NoException(value=true)
public void setPaddingMode(@Cast(value="nvinfer1::PaddingMode")
                                                    int paddingMode)

getPaddingMode

@NoException(value=true)
public nvinfer.PaddingMode getPaddingMode()

\brief Get the padding mode. Default: kEXPLICIT_ROUND_DOWN

See Also:

setPaddingMode()

setWindowSizeNd

@NoException(value=true)
public void setWindowSizeNd(@ByVal @Cast(value="nvinfer1::Dims*")
                                                     Dims32 windowSize)

\brief Set the multi-dimension window size for pooling. If executing this layer on DLA, only support 2D window size, both height and width of window size must be in the range [1,8].

See Also:

setWindowSize() getWindowSize()

getWindowSizeNd

@ByVal
 @Cast(value="nvinfer1::Dims*")
 @NoException(value=true)
public Dims32 getWindowSizeNd()

\brief Get the multi-dimension window size for pooling.

See Also:

setWindowSizeNd()

setStrideNd

@NoException(value=true)
public void setStrideNd(@ByVal @Cast(value="nvinfer1::Dims*")
                                                 Dims32 stride)

\brief Set the multi-dimension stride for pooling. Default: (1, 1, ..., 1) If executing this layer on DLA, only support 2D stride, both height and width of stride must be in the range [1,16].

See Also:

setStride() getStride()

getStrideNd

@ByVal
 @Cast(value="nvinfer1::Dims*")
 @NoException(value=true)
public Dims32 getStrideNd()

\brief Get the multi-dimension stride for pooling.

See Also:

setStrideNd()

setPaddingNd

@NoException(value=true)
public void setPaddingNd(@ByVal @Cast(value="nvinfer1::Dims*")
                                                  Dims32 padding)

\brief Set the multi-dimension padding for pooling. The input will be padded by this number of elements in each dimension. Padding is symmetric. Padding value depends on pooling type, -inf is used for max pooling and zero padding for average pooling. Default: (0, 0, ..., 0) If executing this layer on DLA, only support 2D padding, both height and width of padding must be in the range [0,7].

See Also:

setPadding() getPadding()

getPaddingNd

@ByVal
 @Cast(value="nvinfer1::Dims*")
 @NoException(value=true)
public Dims32 getPaddingNd()

\brief Get the multi-dimension padding for pooling. If the padding is asymmetric, the pre-padding is returned.

See Also:

setPaddingNd()