nvinfer1::ILoopOutputLayer Class Reference

An ILoopOutputLayer is the sole way to get output from a loop. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::ILoopOutputLayer:

Public Member Functions
LoopOutput	getLoopOutput () const noexcept
	Get which kind a loop output has. More...
void	setAxis (int32_t axis) noexcept
	Set where to insert the contenation axis. Ignored if getLoopOutput() is kLAST_VALUE. More...
int32_t	getAxis () const noexcept
	Get axis being concatenated over. More...
void	setInput (int32_t index, ITensor &tensor) noexcept
	Append or replace an input of this layer with a specific tensor. More...
Public Member Functions inherited from nvinfer1::ILoopBoundaryLayer
ILoop *	getLoop () const noexcept
	Get a pointer to ILoop associated with this boundary layer. More...
Public Member Functions inherited from nvinfer1::ILayer
LayerType	getType () const noexcept
	Return the type of a layer. More...
void	setName (char const *name) noexcept
	Set the name of a layer. More...
char const *	getName () const noexcept
	Return the name of a layer. More...
int32_t	getNbInputs () const noexcept
	Get the number of inputs of a layer. More...
ITensor *	getInput (int32_t index) const noexcept
	Get the layer input corresponding to the given index. More...
int32_t	getNbOutputs () const noexcept
	Get the number of outputs of a layer. More...
ITensor *	getOutput (int32_t index) const noexcept
	Get the layer output corresponding to the given index. More...
void	setInput (int32_t index, ITensor &tensor) noexcept
	Replace an input of this layer with a specific tensor. More...
void	setPrecision (DataType dataType) noexcept
	Set the preferred or required computational precision of this layer in a weakly-typed network. More...
DataType	getPrecision () const noexcept
	get the computational precision of this layer More...
bool	precisionIsSet () const noexcept
	whether the computational precision has been set for this layer More...
void	resetPrecision () noexcept
	reset the computational precision for this layer More...
void	setOutputType (int32_t index, DataType dataType) noexcept
	Set the output type of this layer in a weakly-typed network. More...
DataType	getOutputType (int32_t index) const noexcept
	get the output type of this layer More...
bool	outputTypeIsSet (int32_t index) const noexcept
	whether the output type has been set for this layer More...
void	resetOutputType (int32_t index) noexcept
	reset the output type for this layer More...
void	setMetadata (char const *metadata) noexcept
	Set the metadata for this layer. More...
char const *	getMetadata () const noexcept
	Get the metadata of the layer. More...

Protected Member Functions
virtual	~ILoopOutputLayer () noexcept=default
Protected Member Functions inherited from nvinfer1::ILoopBoundaryLayer
virtual	~ILoopBoundaryLayer () noexcept=default
Protected Member Functions inherited from nvinfer1::ILayer
virtual	~ILayer () noexcept=default
Protected Member Functions inherited from nvinfer1::INoCopy
	INoCopy ()=default
virtual	~INoCopy ()=default
	INoCopy (INoCopy const &other)=delete
INoCopy &	operator= (INoCopy const &other)=delete
	INoCopy (INoCopy &&other)=delete
INoCopy &	operator= (INoCopy &&other)=delete

Protected Attributes
apiv::VLoopOutputLayer *	mImpl
Protected Attributes inherited from nvinfer1::ILoopBoundaryLayer
apiv::VLoopBoundaryLayer *	mBoundary
Protected Attributes inherited from nvinfer1::ILayer
apiv::VLayer *	mLayer

Detailed Description

An ILoopOutputLayer is the sole way to get output from a loop.

The first input tensor must be defined inside the loop; the output tensor is outside the loop. The second input tensor, if present, must be defined outside the loop.

If getLoopOutput() is kLAST_VALUE, a single input must be provided, and that input must be from an IRecurrenceLayer in the same loop.

If getLoopOutput() is kCONCATENATE or kREVERSE, a second input must be provided. The second input must be a 0D shape tensor, defined before the loop commences, that specifies the concatenation length of the output.

The output tensor has j more dimensions than the input tensor, where j == 0 if getLoopOutput() is kLAST_VALUE j == 1 if getLoopOutput() is kCONCATENATE or kREVERSE.

Constructor & Destructor Documentation

~ILoopOutputLayer()

virtual nvinfer1::ILoopOutputLayer::~ILoopOutputLayer ( )

protectedvirtualdefaultnoexcept

Member Function Documentation

getAxis()

int32_t nvinfer1::ILoopOutputLayer::getAxis ( ) const

inlinenoexcept

Get axis being concatenated over.

getLoopOutput()

LoopOutput nvinfer1::ILoopOutputLayer::getLoopOutput ( ) const

inlinenoexcept

Get which kind a loop output has.

setAxis()

void nvinfer1::ILoopOutputLayer::setAxis ( int32_t  axis )

inlinenoexcept

Set where to insert the contenation axis. Ignored if getLoopOutput() is kLAST_VALUE.

For example, if the input tensor has dimensions [b,c,d], and getLoopOutput() is kCONCATENATE, the output has four dimensions. Let a be the value of the second input. setAxis(0) causes the output to have dimensions [a,b,c,d]. setAxis(1) causes the output to have dimensions [b,a,c,d]. setAxis(2) causes the output to have dimensions [b,c,a,d]. setAxis(3) causes the output to have dimensions [b,c,d,a]. Default is axis is 0.

setInput()

void nvinfer1::ILayer::setInput ( int32_t  index, ITensor &  tensor  )

inlinenoexcept

Append or replace an input of this layer with a specific tensor.

Parameters

index	the index of the input to modify.
tensor	the new input tensor Sets the input tensor for the given index. The index must be 0 for a kLAST_VALUE loop output layer. Loop output layer is converted to a kCONCATENATE or kREVERSE loop output layer by calling setInput with an index 1. A kCONCATENATE or kREVERSE loop output layer cannot be converted back to a kLAST_VALUE loop output layer.

For a kCONCATENATE or kREVERSE loop output layer, the values 0 and 1 are valid. The indices in the kCONCATENATE or kREVERSE cases are as follows:

• 0: Contribution to the output tensor. The contribution must come from inside the loop.
• 1: The concatenation length scalar value, must come from outside the loop, as a 0D shape tensor of type Int32 or Int64.

If this function is called with the value 1, then the function getNbInputs() changes from returning 1 to 2.

Member Data Documentation

mImpl

apiv::VLoopOutputLayer* nvinfer1::ILoopOutputLayer::mImpl

protected

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

• NvInfer.h