nvinfer1::ISelectLayer Class Reference
Select elements from two data tensors based on a condition tensor. More...
#include <NvInfer.h>
Inheritance diagram for nvinfer1::ISelectLayer:
Protected Member Functions | |
| virtual | ~ISelectLayer () 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::VSelectLayer * | mImpl |
| Protected Attributes inherited from nvinfer1::ILayer | |
| apiv::VLayer * | mLayer |
Additional Inherited Members | |
| 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... | |
Detailed Description
Select elements from two data tensors based on a condition tensor.
The select layer makes elementwise selections from two data tensors based on a condition tensor, behaving similarly to the numpy.where function with three parameters. The three input tensors must share the same rank. Multidirectional broadcasting is supported. The output tensor has the dimensions of the inputs AFTER applying the broadcast rule.
- Warning
- Do not inherit from this class, as doing so will break forward-compatibility of the API and ABI.
Constructor & Destructor Documentation
◆ ~ISelectLayer()
|
protectedvirtualdefaultnoexcept |
Member Data Documentation
◆ mImpl
|
protected |
The documentation for this class was generated from the following file:
