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hub / github.com/NVIDIA/TensorRT / enqueueV2

Method enqueueV2

include/NvInferRuntime.h:3101–3104  ·  view source on GitHub ↗

\brief Enqueue inference on a stream. This method requires an array of input and output buffers. The mapping from tensor names to indices can be queried using ICudaEngine::getBindingIndex(). This method only works for execution contexts built with full dimension networks. \param bindings An array of pointers to input and output buffers for the network. \param stream A cuda stream on which the inf

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3099 //! context per stream.
3100 //!
3101 TRT_DEPRECATED bool enqueueV2(void* const* bindings, cudaStream_t stream, cudaEvent_t* inputConsumed) noexcept
3102 {
3103 return mImpl->enqueueV2(bindings, stream, inputConsumed);
3104 }
3105
3106 //!
3107 //! \brief Select an optimization profile for the current context with async

Callers 8

pyCore.cppFile · 0.80
stepOnceMethod · 0.80
inferMethod · 0.80
inferMethod · 0.80
inferMethod · 0.80
prepareMethod · 0.80
runMethod · 0.80
inferMethod · 0.80

Calls

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