Inheritance diagram for nvinfer1::plugin::LReLU:

Collaboration diagram for nvinfer1::plugin::LReLU:

[legend]

Public Member Functions
	LReLU (float negSlope)

	LReLU (const void *buffer, size_t length)

	~LReLU () override=default

int	getNbOutputs () const override
	Get the number of outputs from the layer. More...

Dims	getOutputDimensions (int index, const Dims *inputs, int nbInputDims) override

int	initialize () override
	Initialize the layer for execution. More...

void	terminate () override
	Release resources acquired during plugin layer initialization. More...

size_t	getWorkspaceSize (int maxBatchSize) const override

int	enqueue (int batchSize, const void const inputs, void *outputs, void workspace, cudaStream_t stream) override

size_t	getSerializationSize () const override
	Find the size of the serialization buffer required. More...

void	serialize (void *buffer) const override
	Serialize the layer. More...

void	configureWithFormat (const Dims inputDims, int nbInputs, const Dims outputDims, int nbOutputs, DataType type, PluginFormat format, int maxBatchSize) override

bool	supportsFormat (DataType type, PluginFormat format) const override
	Check format support. More...

const char *	getPluginType () const override
	Return the plugin type. More...

const char *	getPluginVersion () const override
	Return the plugin version. More...

void	destroy () override
	Destroy the plugin object. More...

IPluginV2 *	clone () const override
	Clone the plugin object. More...

virtual int32_t	getTensorRTVersion () const
	Return the API version with which this plugin was built. More...

virtual Dims	getOutputDimensions (int32_t index, const Dims *inputs, int32_t nbInputDims)=0
	Get the dimension of an output tensor. More...

virtual void	configureWithFormat (const Dims inputDims, int32_t nbInputs, const Dims outputDims, int32_t nbOutputs, DataType type, PluginFormat format, int32_t maxBatchSize)=0
	Configure the layer. More...

virtual size_t	getWorkspaceSize (int32_t maxBatchSize) const =0
	Find the workspace size required by the layer. More...

virtual int32_t	enqueue (int32_t batchSize, const void const inputs, void *outputs, void workspace, cudaStream_t stream)=0
	Execute the layer. More...

Protected Member Functions
void	setPluginNamespace (const char *libNamespace) override
	Set the namespace that this plugin object belongs to. More...

const char *	getPluginNamespace () const override
	Return the namespace of the plugin object. More...

Protected Attributes
std::string	mNamespace

Private Attributes
float	mNegSlope

int	mBatchDim

Constructor & Destructor Documentation

◆ LReLU() [1/2]

LReLU::LReLU ( float negSlope )

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◆ LReLU() [2/2]

LReLU::LReLU	(	const void *	buffer,
		size_t	length
	)

◆ ~LReLU()

nvinfer1::plugin::LReLU::~LReLU ( )

overridedefault

Member Function Documentation

◆ getNbOutputs()

int LReLU::getNbOutputs ( ) const

overridevirtual

Get the number of outputs from the layer.

Returns: The number of outputs.

This function is called by the implementations of INetworkDefinition and IBuilder. In particular, it is called prior to any call to initialize().

Implements nvinfer1::IPluginV2.

◆ getOutputDimensions() [1/2]

Dims LReLU::getOutputDimensions	(	int	index,
		const Dims *	inputs,
		int	nbInputDims
	)

override

◆ initialize()

int LReLU::initialize ( )

overridevirtual

Initialize the layer for execution.

This is called when the engine is created.

Returns: 0 for success, else non-zero (which will cause engine termination).

Implements nvinfer1::IPluginV2.

◆ terminate()

void LReLU::terminate ( )

overridevirtual

Release resources acquired during plugin layer initialization.

This is called when the engine is destroyed.

See also: initialize()

Implements nvinfer1::IPluginV2.

◆ getWorkspaceSize() [1/2]

size_t LReLU::getWorkspaceSize ( int maxBatchSize ) const

override

◆ enqueue() [1/2]

int LReLU::enqueue	(	int	batchSize,
		const void const	inputs,
		void **	outputs,
		void *	workspace,
		cudaStream_t	stream
	)

override

◆ getSerializationSize()

size_t LReLU::getSerializationSize ( ) const

overridevirtual

Find the size of the serialization buffer required.

Returns: The size of the serialization buffer.

Implements nvinfer1::IPluginV2.

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◆ serialize()

void LReLU::serialize ( void * buffer ) const

overridevirtual

Serialize the layer.

Parameters

buffer A pointer to a buffer to serialize data. Size of buffer must be equal to value returned by getSerializationSize.

See also: getSerializationSize()

Implements nvinfer1::IPluginV2.

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◆ configureWithFormat() [1/2]

void LReLU::configureWithFormat	(	const Dims *	inputDims,
		int	nbInputs,
		const Dims *	outputDims,
		int	nbOutputs,
		DataType	type,
		PluginFormat	format,
		int	maxBatchSize
	)

override

◆ supportsFormat()

bool LReLU::supportsFormat	(	DataType	type,
		PluginFormat	format
	)		const

overridevirtual

Check format support.

Parameters

type	DataType requested.
format	PluginFormat requested.

Returns: true if the plugin supports the type-format combination.

This function is called by the implementations of INetworkDefinition, IBuilder, and safe::ICudaEngine/ICudaEngine. In particular, it is called when creating an engine and when deserializing an engine.

Warning: for the format field, the values PluginFormat::kCHW4, PluginFormat::kCHW16, and PluginFormat::kCHW32 will not be passed in, this is to keep backward compatibility with TensorRT 5.x series. Use PluginV2IOExt or PluginV2DynamicExt for other PluginFormats.; DataType:kBOOL not supported.

Implements nvinfer1::IPluginV2.

◆ getPluginType()

const char * LReLU::getPluginType ( ) const

overridevirtual

Return the plugin type.

Should match the plugin name returned by the corresponding plugin creator

See also: IPluginCreator::getPluginName()

Implements nvinfer1::IPluginV2.

◆ getPluginVersion()

const char * LReLU::getPluginVersion ( ) const

overridevirtual

Return the plugin version.

Should match the plugin version returned by the corresponding plugin creator

See also: IPluginCreator::getPluginVersion()

Implements nvinfer1::IPluginV2.

◆ destroy()

void LReLU::destroy ( )

overridevirtual

Destroy the plugin object.

This will be called when the network, builder or engine is destroyed.

Implements nvinfer1::IPluginV2.

◆ clone()

IPluginV2 * LReLU::clone ( ) const

overridevirtual

Clone the plugin object.

This copies over internal plugin parameters and returns a new plugin object with these parameters.

Implements nvinfer1::IPluginV2.

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◆ setPluginNamespace()

void nvinfer1::plugin::BasePlugin::setPluginNamespace ( const char * pluginNamespace )

inlineoverrideprotectedvirtualinherited

Set the namespace that this plugin object belongs to.

Ideally, all plugin objects from the same plugin library should have the same namespace.

Implements nvinfer1::IPluginV2.

◆ getPluginNamespace()

const char* nvinfer1::plugin::BasePlugin::getPluginNamespace ( ) const

inlineoverrideprotectedvirtualinherited

Return the namespace of the plugin object.

Implements nvinfer1::IPluginV2.

◆ getTensorRTVersion()

virtual int32_t nvinfer1::IPluginV2::getTensorRTVersion ( ) const

inlinevirtualinherited

Return the API version with which this plugin was built.

Do not override this method as it is used by the TensorRT library to maintain backwards-compatibility with plugins.

Reimplemented in nvinfer1::IPluginV2Ext, and nvinfer1::IPluginV2DynamicExt.

◆ getOutputDimensions() [2/2]

virtual Dims nvinfer1::IPluginV2::getOutputDimensions	(	int32_t	index,
		const Dims *	inputs,
		int32_t	nbInputDims
	)

pure virtualinherited

Get the dimension of an output tensor.

Parameters

index	The index of the output tensor.
inputs	The input tensors.
nbInputDims	The number of input tensors.

This function is called by the implementations of INetworkDefinition and IBuilder. In particular, it is called prior to any call to initialize().

◆ configureWithFormat() [2/2]

virtual void nvinfer1::IPluginV2::configureWithFormat	(	const Dims *	inputDims,
		int32_t	nbInputs,
		const Dims *	outputDims,
		int32_t	nbOutputs,
		DataType	type,
		PluginFormat	format,
		int32_t	maxBatchSize
	)

pure virtualinherited

Configure the layer.

This function is called by the builder prior to initialize(). It provides an opportunity for the layer to make algorithm choices on the basis of its weights, dimensions, and maximum batch size.

Parameters

inputDims	The input tensor dimensions.
nbInputs	The number of inputs.
outputDims	The output tensor dimensions.
nbOutputs	The number of outputs.
type	The data type selected for the engine.
format	The format selected for the engine.
maxBatchSize	The maximum batch size.

The dimensions passed here do not include the outermost batch size (i.e. for 2-D image networks, they will be 3-dimensional CHW dimensions).

Warning: for the format field, the values PluginFormat::kCHW4, PluginFormat::kCHW16, and PluginFormat::kCHW32 will not be passed in, this is to keep backward compatibility with TensorRT 5.x series. Use PluginV2IOExt or PluginV2DynamicExt for other PluginFormats.; DataType:kBOOL not supported.

Implemented in nvinfer1::IPluginV2Ext.

◆ getWorkspaceSize() [2/2]

virtual size_t nvinfer1::IPluginV2::getWorkspaceSize ( int32_t maxBatchSize ) const

pure virtualinherited

Find the workspace size required by the layer.

This function is called during engine startup, after initialize(). The workspace size returned should be sufficient for any batch size up to the maximum.

Returns: The workspace size.

◆ enqueue() [2/2]

virtual int32_t nvinfer1::IPluginV2::enqueue	(	int32_t	batchSize,
		const void const	inputs,
		void **	outputs,
		void *	workspace,
		cudaStream_t	stream
	)

pure virtualinherited

Execute the layer.

Parameters

batchSize	The number of inputs in the batch.
inputs	The memory for the input tensors.
outputs	The memory for the output tensors.
workspace	Workspace for execution.
stream	The stream in which to execute the kernels.

Returns: 0 for success, else non-zero (which will cause engine termination).

Member Data Documentation

◆ mNegSlope

float nvinfer1::plugin::LReLU::mNegSlope

private

◆ mBatchDim

int nvinfer1::plugin::LReLU::mBatchDim

private

◆ mNamespace

std::string nvinfer1::plugin::BasePlugin::mNamespace

protectedinherited

The documentation for this class was generated from the following files:

lReluPlugin.h
lReluPlugin.cpp

Public Member Functions

Protected Member Functions

Protected Attributes

Private Attributes

Constructor & Destructor Documentation

◆ LReLU() [1/2]

◆ LReLU() [2/2]

◆ ~LReLU()

Member Function Documentation

◆ getNbOutputs()

◆ getOutputDimensions() [1/2]

◆ initialize()

◆ terminate()

◆ getWorkspaceSize() [1/2]

◆ enqueue() [1/2]

◆ getSerializationSize()

◆ serialize()

◆ configureWithFormat() [1/2]

◆ supportsFormat()

◆ getPluginType()

◆ getPluginVersion()

◆ destroy()

◆ clone()

◆ setPluginNamespace()

◆ getPluginNamespace()

◆ getTensorRTVersion()

◆ getOutputDimensions() [2/2]

◆ configureWithFormat() [2/2]

◆ getWorkspaceSize() [2/2]

◆ enqueue() [2/2]

Member Data Documentation

◆ mNegSlope

◆ mBatchDim

◆ mNamespace