TensorRT
7.2.2.3
|
A layer that represents the identity function. More...
#include <NvInfer.h>
Additional Inherited Members | |
Public Member Functions inherited from nvinfer1::ILayer | |
virtual LayerType | getType () const =0 |
Return the type of a layer. More... | |
virtual void | setName (const char *name)=0 |
Set the name of a layer. More... | |
virtual const char * | getName () const =0 |
Return the name of a layer. More... | |
virtual int32_t | getNbInputs () const =0 |
Get the number of inputs of a layer. | |
virtual ITensor * | getInput (int32_t index) const =0 |
Get the layer input corresponding to the given index. More... | |
virtual int32_t | getNbOutputs () const =0 |
Get the number of outputs of a layer. | |
virtual ITensor * | getOutput (int32_t index) const =0 |
Get the layer output corresponding to the given index. More... | |
virtual void | setInput (int32_t index, ITensor &tensor)=0 |
Replace an input of this layer with a specific tensor. More... | |
virtual void | setPrecision (DataType dataType)=0 |
Set the computational precision of this layer. More... | |
virtual DataType | getPrecision () const =0 |
get the computational precision of this layer More... | |
virtual bool | precisionIsSet () const =0 |
whether the computational precision has been set for this layer More... | |
virtual void | resetPrecision ()=0 |
reset the computational precision for this layer More... | |
virtual void | setOutputType (int32_t index, DataType dataType)=0 |
Set the output type of this layer. More... | |
virtual DataType | getOutputType (int32_t index) const =0 |
get the output type of this layer More... | |
virtual bool | outputTypeIsSet (int32_t index) const =0 |
whether the output type has been set for this layer More... | |
virtual void | resetOutputType (int32_t index)=0 |
reset the output type for this layer More... | |
A layer that represents the identity function.
If tensor precision is being explicitly specified, it can be used to transform from one precision to another. Other than transforming between the same precision (kFLOAT -> kFLOAT for example), the only valid tranformations supported are: (kFLOAT -> kHALF), (kFLOAT -> kINT8), (kHALF -> kFLOAT) and (kINT8 -> kFLOAT).