TensorRT 10.0.0
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A Softmax layer in a network definition. More...
#include <NvInfer.h>
Public Member Functions | |
void | setAxes (uint32_t axes) noexcept |
Set the axis along which softmax is computed. Currently, only one axis can be set. More... | |
uint32_t | getAxes () const noexcept |
Get the axis along which softmax occurs. 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 | ~ISoftMaxLayer () 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::VSoftMaxLayer * | mImpl |
Protected Attributes inherited from nvinfer1::ILayer | |
apiv::VLayer * | mLayer |
A Softmax layer in a network definition.
This layer applies a per-channel softmax to its input.
The output size is the same as the input size.
The following constraints must be satisfied to execute this layer on DLA:
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protectedvirtualdefaultnoexcept |
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inlinenoexcept |
Get the axis along which softmax occurs.
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inlinenoexcept |
Set the axis along which softmax is computed. Currently, only one axis can be set.
The axis is specified by setting the bit corresponding to the axis to 1. For example, consider an NCHW tensor as input.
Bit 0 corresponds to the N dimension boolean. Bit 1 corresponds to the C dimension boolean. Bit 2 corresponds to the H dimension boolean. Bit 3 corresponds to the W dimension boolean. By default, softmax is performed on the axis which is the number of axes minus three. It is 0 if there are fewer than 3 axes. For example, if the input is NCHW, the default axis is C. If the input is NHW, then the default axis is N.
For example, to perform softmax on axis R of a NPQRCHW input, set bit 3.
axes | The axis along which softmax is computed. Here axes is a bitmap. For example, when doing softmax along axis 0, bit 0 is set to 1, axes = 1 << axis = 1. |
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protected |
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