TensorRT
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Plugin class for user-implemented layers. More...
#include <NvInfer.h>
Public Member Functions | |
virtual int | getTensorRTVersion () const |
Return the API version with which this plugin was built. More... | |
virtual bool | supportsFormat (DataType type, PluginFormat format) const =0 |
Check format support. More... | |
virtual void | configureWithFormat (const Dims *inputDims, int nbInputs, const Dims *outputDims, int nbOutputs, DataType type, PluginFormat format, int maxBatchSize)=0 |
Configure the layer. More... | |
Public Member Functions inherited from nvinfer1::IPlugin | |
virtual int | getNbOutputs () const =0 |
Get the number of outputs from the layer. More... | |
virtual Dims | getOutputDimensions (int index, const Dims *inputs, int nbInputDims)=0 |
Get the dimension of an output tensor. More... | |
virtual int | initialize ()=0 |
Initialize the layer for execution. This is called when the engine is created. More... | |
virtual void | terminate ()=0 |
Shutdown the layer. This is called when the engine is destroyed. | |
virtual size_t | getWorkspaceSize (int maxBatchSize) const =0 |
Find the workspace size required by the layer. More... | |
virtual int | enqueue (int batchSize, const void *const *inputs, void **outputs, void *workspace, cudaStream_t stream)=0 |
Execute the layer. More... | |
virtual size_t | getSerializationSize ()=0 |
Find the size of the serialization buffer required. More... | |
virtual void | serialize (void *buffer)=0 |
Serialize the layer. More... | |
Protected Member Functions | |
void | configure (const Dims *inputDims, int nbInputs, const Dims *outputDims, int nbOutputs, int maxBatchSize) _TENSORRT_FINAL |
Derived classes should not implement this. In a C++11 API it would be override final. | |
Plugin class for user-implemented layers.
Plugins are a mechanism for applications to implement custom layers. Each plugin is owned by the application, and its lifetime must span any use of it by TensorRT.
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pure virtual |
Configure the layer.
This function is called by the builder prior to initialize(). It provides an opportunity for the layer to make algorithm choices on the basis of its weights, dimensions, and maximum batch size.
inputDims | The input tensor dimensions. |
nbInputs | The number of inputs. |
outputDims | The output tensor dimensions. |
nbOutputs | The number of outputs. |
type | The data type selected for the engine. |
format | The format selected for the engine. |
maxBatchSize | The maximum batch size. |
The dimensions passed here do not include the outermost batch size (i.e. for 2-D image networks, they will be 3-dimensional CHW dimensions).
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inlinevirtual |
Return the API version with which this plugin was built.
Do not override this method as it is used by the TensorRT library to maintain backwards-compatibility with plugins.
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pure virtual |
Check format support.
type | DataType requested. |
format | PluginFormat requested. |
This function is called by the implementations of INetworkDefinition, IBuilder, and ICudaEngine. In particular, it is called when creating an engine and when deserializing an engine.