MCPcopy Create free account
hub / github.com/NVIDIA/TensorRT / executeV2

Method executeV2

include/NvInferRuntime.h:3071–3074  ·  view source on GitHub ↗

\brief Synchronously execute inference a network. 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. \return True if execution succe

Source from the content-addressed store, hash-verified

3069 //! \see ICudaEngine::getBindingIndex() ICudaEngine::getMaxBatchSize()
3070 //!
3071 bool executeV2(void* const* bindings) noexcept
3072 {
3073 return mImpl->executeV2(bindings);
3074 }
3075
3076 //!
3077 //! \brief Enqueue inference on a stream.

Callers 5

pyCore.cppFile · 0.80
inferMethod · 0.80
inferMethod · 0.80
inferMethod · 0.80
inferMethod · 0.80

Calls

no outgoing calls

Tested by

no test coverage detected