\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
| 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. |
no outgoing calls
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