TensorRT  8.0.2
nvinfer1::ILoopOutputLayer Class Reference

#include <NvInfer.h>

Inheritance diagram for nvinfer1::ILoopOutputLayer:
nvinfer1::ILoopBoundaryLayer nvinfer1::ILayer nvinfer1::INoCopy

Public Member Functions

LoopOutput getLoopOutput () const noexcept
 
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.
 
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
ILoopgetLoop () const noexcept
 Return pointer to ILoop associated with this boundary layer.
 
- Public Member Functions inherited from nvinfer1::ILayer
LayerType getType () const noexcept
 Return the type of a layer. More...
 
void setName (const char *name) noexcept
 Set the name of a layer. More...
 
const char * getName () const noexcept
 Return the name of a layer. More...
 
int32_t getNbInputs () const noexcept
 Get the number of inputs of a layer.
 
ITensorgetInput (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.
 
ITensorgetOutput (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 computational precision of this layer. 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. 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...
 

Protected Attributes

apiv::VLoopOutputLayermImpl
 
- Protected Attributes inherited from nvinfer1::ILoopBoundaryLayer
apiv::VLoopBoundaryLayermBoundary
 
- Protected Attributes inherited from nvinfer1::ILayer
apiv::VLayermLayer
 

Additional Inherited Members

- Protected Member Functions inherited from nvinfer1::INoCopy
 INoCopy (const INoCopy &other)=delete
 
INoCopyoperator= (const INoCopy &other)=delete
 
 INoCopy (INoCopy &&other)=delete
 
INoCopyoperator= (INoCopy &&other)=delete
 

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 from a IRecurrenceLayer in the same loop.

If getLoopOutput() is kCONCATENATE or kREVERSE, a second input must be provided. The second input must be a scalar “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.

Member Function Documentation

◆ 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
inlinenoexcept

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

Parameters
indexthe index of the input to modify.
tensorthe 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 Int32 shape tensor.

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


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