nvinfer1::plugin Namespace Reference

Namespaces
	detail

Classes
class	BaseCreator
class	BasePlugin
class	BatchedNMSBasePluginCreator
class	BatchedNMSDynamicPlugin
class	BatchedNMSDynamicPluginCreator
class	BatchedNMSPlugin
class	BatchedNMSPluginCreator
class	BatchTilePlugin
class	BatchTilePluginCreator
class	CoordConvACPlugin
class	CoordConvACPluginCreator
class	CropAndResizePlugin
class	CropAndResizePluginCreator
class	CublasError
class	CudaError
class	CudnnError
class	DetectionLayer
class	DetectionLayerPluginCreator
class	DetectionOutput
struct	DetectionOutputParameters
	The DetectionOutput plugin layer generates the detection output based on location and confidence predictions by doing non maximum suppression. More...
class	FlattenConcat
class	FlattenConcatPluginCreator
class	GenerateDetection
class	GenerateDetectionPluginCreator
class	GridAnchorBasePluginCreator
class	GridAnchorGenerator
struct	GridAnchorParameters
	The Anchor Generator plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). More...
class	GridAnchorPluginCreator
class	GridAnchorRectPluginCreator
class	GroupNormalizationPlugin
class	GroupNormalizationPluginCreator
class	InstanceNormalizationPlugin
class	InstanceNormalizationPluginCreator
class	LogStream
class	LReLU
class	LReluPluginCreator
class	MultilevelCropAndResize
class	MultilevelCropAndResizePluginCreator
class	MultilevelProposeROI
class	MultilevelProposeROIPluginCreator
struct	NMSParameters
	The NMSParameters are used by the BatchedNMSPlugin for performing the non_max_suppression operation over boxes for object detection networks. More...
class	NMSPluginCreator
class	Normalize
class	NormalizePluginCreator
class	PluginCreatorRegistry
class	PriorBox
struct	PriorBoxParameters
	The PriorBox plugin layer generates the prior boxes of designated sizes and aspect ratios across all dimensions (H x W). More...
class	PriorBoxPluginCreator
class	ProposalLayer
class	ProposalLayerPluginCreator
class	ProposalPlugin
class	ProposalPluginCreator
class	PyramidROIAlign
class	PyramidROIAlignPluginCreator
struct	Quadruple
	The Permute plugin layer permutes the input tensor by changing the memory order of the data. More...
class	reduced_divisor
class	Region
class	RegionPluginCreator
class	Reorg
class	ReorgPluginCreator
class	ResizeNearest
class	ResizeNearestPluginCreator
struct	RPROIParams
	RPROIParams is used to create the RPROIPlugin instance. More...
class	RPROIPlugin
class	RPROIPluginCreator
class	SpecialSlice
class	SpecialSlicePluginCreator
class	SplitPlugin
class	SplitPluginCreator
class	TRTException

Typedefs
typedef LReLU	PReLU

Enumerations
enum	CodeTypeSSD : int32_t {   CodeTypeSSD::CORNER = 0,   CodeTypeSSD::CENTER_SIZE = 1,   CodeTypeSSD::CORNER_SIZE = 2,   CodeTypeSSD::TF_CENTER = 3 }
	The type of encoding used for decoding the bounding boxes and loc_data. More...

Functions
	__attribute__ ((deprecated)) typedef struct
	The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for yolo9000, generate 3 bounding boxes per cell). More...
void	throwCudaError (const char *file, const char *function, int line, int status, const char *msg)
void	throwCublasError (const char *file, const char *function, int line, int status, const char *msg)
void	throwCudnnError (const char *file, const char *function, int line, int status, const char *msg)
void	logError (const char *msg, const char *file, const char *fn, int line)
void	reportAssertion (const char *msg, const char *file, int line)
size_t	detectionInferenceWorkspaceSize (bool shareLocation, int N, int C1, int C2, int numClasses, int numPredsPerClass, int topK, DataType DT_BBOX, DataType DT_SCORE)
template<typename T >
void	write (char *&buffer, const T &val)
template<typename T >
T	read (const char *&buffer)
template<typename T >
void	scaleShiftChannelsInplace (T *inOut, const int B, const int C, const int channelVolume, const float *beta, const float *gamma, cudaStream_t stream)
template<typename CreatorType >
void	initializePlugin (void *logger, const char *libNamespace)

Variables
	softmaxTree
ILogger *	gLogger {}
LogStream< ILogger::Severity::kERROR >	gLogError
LogStream< ILogger::Severity::kWARNING >	gLogWarning
LogStream< ILogger::Severity::kINFO >	gLogInfo
LogStream< ILogger::Severity::kVERBOSE >	gLogVerbose

Typedef Documentation

PReLU

typedef LReLU nvinfer1::plugin::PReLU

Enumeration Type Documentation

CodeTypeSSD

enum nvinfer1::plugin::CodeTypeSSD : int32_t

strong

The type of encoding used for decoding the bounding boxes and loc_data.

Enumerator
CORNER	Use box corners.
CENTER_SIZE	Use box centers and size.
CORNER_SIZE	Use box centers and size.
TF_CENTER	Use box centers and size but flip x and y coordinates.

Function Documentation

__attribute__()

struct nvinfer1::plugin::__attribute__

(

(deprecated)

)

The Region plugin layer performs region proposal calculation: generate 5 bounding boxes per cell (for yolo9000, generate 3 bounding boxes per cell).

For each box, calculating its probablities of objects detections from 80 pre-defined classifications (yolo9000 has 9418 pre-defined classifications, and these 9418 items are organized as work-tree structure). RegionParameters defines a set of parameters for creating the Region plugin layer.

Parameters

num	Number of predicted bounding box for each grid cell.
coords	Number of coordinates for a bounding box.
classes	Number of classfications to be predicted.
softmaxTree	When performing yolo9000, softmaxTree is helping to do softmax on confidence scores, for element to get the precise classfication through word-tree structured classfication definition.

Deprecated:

. This plugin is superseded by createRegionPlugin and will be removed in TensorRT 8.0.

throwCudaError()

void nvinfer1::plugin::throwCudaError	(	const char *	file,
		const char *	function,
		int	line,
		int	status,
		const char *	msg
	)

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throwCublasError()

void nvinfer1::plugin::throwCublasError	(	const char *	file,
		const char *	function,
		int	line,
		int	status,
		const char *	msg
	)

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throwCudnnError()

void nvinfer1::plugin::throwCudnnError	(	const char *	file,
		const char *	function,
		int	line,
		int	status,
		const char *	msg
	)

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logError()

void nvinfer1::plugin::logError	(	const char *	msg,
		const char *	file,
		const char *	fn,
		int	line
	)

reportAssertion()

void nvinfer1::plugin::reportAssertion	(	const char *	msg,
		const char *	file,
		int	line
	)

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detectionInferenceWorkspaceSize()

size_t nvinfer1::plugin::detectionInferenceWorkspaceSize	(	bool	shareLocation,
		int	N,
		int	C1,
		int	C2,
		int	numClasses,
		int	numPredsPerClass,
		int	topK,
		DataType	DT_BBOX,
		DataType	DT_SCORE
	)

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write()

template<typename T >

void nvinfer1::plugin::write	(	char *&	buffer,
		const T &	val
	)

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read()

template<typename T >

T nvinfer1::plugin::read

(

const char *&

buffer

)

scaleShiftChannelsInplace()

template<typename T >

void nvinfer1::plugin::scaleShiftChannelsInplace	(	T *	inOut,
		const int	B,
		const int	C,
		const int	channelVolume,
		const float *	beta,
		const float *	gamma,
		cudaStream_t	stream
	)

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initializePlugin()

template<typename CreatorType >

void nvinfer1::plugin::initializePlugin	(	void *	logger,
		const char *	libNamespace
	)

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Variable Documentation

softmaxTree

nvinfer1::plugin::softmaxTree

gLogger

ILogger * nvinfer1::plugin::gLogger {}

gLogError

LogStream< ILogger::Severity::kERROR > nvinfer1::plugin::gLogError

gLogWarning

LogStream< ILogger::Severity::kWARNING > nvinfer1::plugin::gLogWarning

gLogInfo

LogStream< ILogger::Severity::kINFO > nvinfer1::plugin::gLogInfo

gLogVerbose

LogStream< ILogger::Severity::kVERBOSE > nvinfer1::plugin::gLogVerbose