TensorRT  6.0.0.6
nvinfer1::IRaggedSoftMaxLayer Class Reference

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

#include <NvInfer.h>

Inheritance diagram for nvinfer1::IRaggedSoftMaxLayer:
nvinfer1::ILayer

Additional Inherited Members

- Public Member Functions inherited from nvinfer1::ILayer
virtual LayerType getType () const TRTNOEXCEPT=0
 Return the type of a layer. More...
 
virtual void setName (const char *name) TRTNOEXCEPT=0
 Set the name of a layer. More...
 
virtual const char * getName () const TRTNOEXCEPT=0
 Return the name of a layer. More...
 
virtual int getNbInputs () const TRTNOEXCEPT=0
 Get the number of inputs of a layer.
 
virtual ITensorgetInput (int index) const TRTNOEXCEPT=0
 Get the layer input corresponding to the given index. More...
 
virtual int getNbOutputs () const TRTNOEXCEPT=0
 Get the number of outputs of a layer.
 
virtual ITensorgetOutput (int index) const TRTNOEXCEPT=0
 Get the layer output corresponding to the given index. More...
 
virtual void setInput (int index, ITensor &tensor) TRTNOEXCEPT=0
 replace an input of this layer with a specific tensor More...
 
virtual void setPrecision (DataType dataType) TRTNOEXCEPT=0
 Set the computational precision of this layer. More...
 
virtual DataType getPrecision () const TRTNOEXCEPT=0
 get the computational precision of this layer More...
 
virtual bool precisionIsSet () const TRTNOEXCEPT=0
 whether the computational precision has been set for this layer More...
 
virtual void resetPrecision () TRTNOEXCEPT=0
 reset the computational precision for this layer More...
 
virtual void setOutputType (int index, DataType dataType) TRTNOEXCEPT=0
 Set the output type of this layer. More...
 
virtual DataType getOutputType (int index) const TRTNOEXCEPT=0
 get the output type of this layer More...
 
virtual bool outputTypeIsSet (int index) const TRTNOEXCEPT=0
 whether the output type has been set for this layer More...
 
virtual void resetOutputType (int index) TRTNOEXCEPT=0
 reset the output type for this layer More...
 

Detailed Description

A RaggedSoftmax layer in a network definition.

This layer takes a ZxS input tensor and an additional Zx1 bounds tensor holding the lengths of the Z sequences.

This layer computes a softmax across each of the Z sequences.

The output tensor is of the same size as the input tensor.

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

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