TensorRT  8.0.2
nvinfer1::IElementWiseLayer Class Reference

A elementwise layer in a network definition. More...

#include <NvInfer.h>

Inheritance diagram for nvinfer1::IElementWiseLayer:
nvinfer1::ILayer nvinfer1::INoCopy

Public Member Functions

void setOperation (ElementWiseOperation op) noexcept
 Set the binary operation for the layer. More...
 
ElementWiseOperation getOperation () const noexcept
 Get the binary operation for the layer. More...
 
- 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::VElementWiseLayermImpl
 
- 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

A elementwise layer in a network definition.

Warning
When running this layer on the DLA with Int8 data type, the dynamic ranges of two input tensors shall be equal. If the dynamic ranges are generated using calibrator, the largest value shall be used.
Do not inherit from this class, as doing so will break forward-compatibility of the API and ABI.

This layer applies a per-element binary operation between corresponding elements of two tensors.

The input tensors must have the same number of dimensions. For each dimension, their lengths must match, or one of them must be one. In the latter case, the tensor is broadcast along that axis.

The output tensor has the same number of dimensions as the inputs. For each output dimension, its length is equal to the lengths of the corresponding input dimensions if they match, otherwise it is equal to the length that is not one.

Member Function Documentation

◆ getOperation()

ElementWiseOperation nvinfer1::IElementWiseLayer::getOperation ( ) const
inlinenoexcept

Get the binary operation for the layer.

See also
setOperation(), ElementWiseOperation
setBiasWeights()

◆ setOperation()

void nvinfer1::IElementWiseLayer::setOperation ( ElementWiseOperation  op)
inlinenoexcept

Set the binary operation for the layer.

DLA supports only kSUM, kPROD, kMAX and kMIN.

See also
getOperation(), ElementWiseOperation
getBiasWeights()

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