TensorRT  8.0.1
nvinfer1::ILayer Class Reference

Base class for all layer classes in a network definition. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::ILayer:
nvinfer1::INoCopy nvinfer1::IActivationLayer nvinfer1::IConcatenationLayer nvinfer1::IConstantLayer nvinfer1::IConvolutionLayer nvinfer1::IDeconvolutionLayer nvinfer1::IDequantizeLayer nvinfer1::IElementWiseLayer nvinfer1::IFillLayer nvinfer1::IFullyConnectedLayer nvinfer1::IGatherLayer nvinfer1::IIdentityLayer nvinfer1::ILoopBoundaryLayer nvinfer1::ILRNLayer nvinfer1::IMatrixMultiplyLayer nvinfer1::IPaddingLayer nvinfer1::IParametricReLULayer nvinfer1::IPluginV2Layer nvinfer1::IPoolingLayer nvinfer1::IQuantizeLayer nvinfer1::IRaggedSoftMaxLayer nvinfer1::IReduceLayer nvinfer1::IResizeLayer nvinfer1::IRNNv2Layer nvinfer1::IScaleLayer nvinfer1::ISelectLayer nvinfer1::IShapeLayer nvinfer1::IShuffleLayer nvinfer1::ISliceLayer nvinfer1::ISoftMaxLayer nvinfer1::ITopKLayer nvinfer1::IUnaryLayer

Public Member Functions

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::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

Base class for all layer classes in a network definition.

Warning
Do not inherit from this class, as doing so will break forward-compatibility of the API and ABI.

Member Function Documentation

◆ getInput()

ITensor* nvinfer1::ILayer::getInput ( int32_t  index) const
inlinenoexcept

Get the layer input corresponding to the given index.

Parameters
indexThe index of the input tensor.
Returns
The input tensor, or nullptr if the index is out of range or the tensor is optional (ISliceLayer and IRNNv2Layer).

◆ getName()

const char* nvinfer1::ILayer::getName ( ) const
inlinenoexcept

Return the name of a layer.

See also
setName()

◆ getOutput()

ITensor* nvinfer1::ILayer::getOutput ( int32_t  index) const
inlinenoexcept

Get the layer output corresponding to the given index.

Returns
The indexed output tensor, or nullptr if the index is out of range or the tensor is optional (IRNNv2Layer).

◆ getOutputType()

DataType nvinfer1::ILayer::getOutputType ( int32_t  index) const
inlinenoexcept

get the output type of this layer

Parameters
indexthe index of the output
Returns
the output precision. If no precision has been set, DataType::kFLOAT will be returned, unless the output type is inherently DataType::kINT32.
See also
getOutputType() outputTypeIsSet() resetOutputType()

◆ getPrecision()

DataType nvinfer1::ILayer::getPrecision ( ) const
inlinenoexcept

get the computational precision of this layer

Returns
the computational precision
See also
setPrecision() precisionIsSet() resetPrecision()

◆ getType()

LayerType nvinfer1::ILayer::getType ( ) const
inlinenoexcept

Return the type of a layer.

See also
LayerType

◆ outputTypeIsSet()

bool nvinfer1::ILayer::outputTypeIsSet ( int32_t  index) const
inlinenoexcept

whether the output type has been set for this layer

Parameters
indexthe index of the output
Returns
whether the output type has been explicitly set
See also
setOutputType() getOutputType() resetOutputType()

◆ precisionIsSet()

bool nvinfer1::ILayer::precisionIsSet ( ) const
inlinenoexcept

whether the computational precision has been set for this layer

Returns
whether the computational precision has been explicitly set
See also
setPrecision() getPrecision() resetPrecision()

◆ resetOutputType()

void nvinfer1::ILayer::resetOutputType ( int32_t  index)
inlinenoexcept

reset the output type for this layer

Parameters
indexthe index of the output
See also
setOutputType() getOutputType() outputTypeIsSet()

◆ resetPrecision()

void nvinfer1::ILayer::resetPrecision ( )
inlinenoexcept

reset the computational precision for this layer

See also
setPrecision() getPrecision() precisionIsSet()

◆ setInput()

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

Replace an input of this layer with a specific tensor.

Parameters
indexthe index of the input to modify.
tensorthe new input tensor

Except for IFillLayer, ILoopOutputLayer, IResizeLayer, IShuffleLayer, and ISliceLayer, this method cannot change the number of inputs to a layer. The index argument must be less than the value of getNbInputs().

See comments for overloads of setInput() for layers with special behavior.

◆ setName()

void nvinfer1::ILayer::setName ( const char *  name)
inlinenoexcept

Set the name of a layer.

This method copies the name string.

See also
getName()

◆ setOutputType()

void nvinfer1::ILayer::setOutputType ( int32_t  index,
DataType  dataType 
)
inlinenoexcept

Set the output type of this layer.

Setting the output type constrains TensorRT to choose implementations which generate output data with the given type. If it is not set, TensorRT will select output type based on layer computational precision. TensorRT could still choose non-conforming output type based on fastest implementation. Use BuilderFlag::kSTRICT_TYPES to force choose requested output type. In case layer precision is not specified, output type would depend on chosen implementation based on performance considerations and the flags specified to the builder.

This method cannot be used to set the data type of the second output tensor of the TopK layer. The data type of the second output tensor of the topK layer is always Int32. Also the output type of all layers that are shape operations must be DataType::kINT32, and all attempts to set the output type to some other data type will be ignored except for issuing an error message.

Note that the layer output type is generally not identical to the data type of the output tensor, as TensorRT may insert implicit reformatting operations to convert the former to the latter. Calling layer->setOutputType(i, type) has no effect on the data type of the i-th output tensor of layer, and users need to call layer->getOutput(i)->setType(type) to change the tensor data type. This is particularly relevant if the tensor is marked as a network output, since only setType() [but not setOutputType()] will affect the data representation in the corresponding output binding.

Parameters
indexthe index of the output to set
dataTypethe type of the output
See also
getOutputType() outputTypeIsSet() resetOutputType()

◆ setPrecision()

void nvinfer1::ILayer::setPrecision ( DataType  dataType)
inlinenoexcept

Set the computational precision of this layer.

Setting the precision allows TensorRT to choose implementation which run at this computational precision. Layer input type would also get inferred from layer computational precision. TensorRT could still choose a non-conforming fastest implementation ignoring set layer precision. Use BuilderFlag::kSTRICT_TYPES to force choose implementations with requested precision. In case no implementation is found with requested precision, TensorRT would choose available fastest implementation. If precision is not set, TensorRT will select the layer computational precision and layer input type based on performance considerations and the flags specified to the builder.

Parameters
dataTypethe computational precision.
See also
getPrecision() precisionIsSet() resetPrecision()

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