Trtexec profile pdf This section demonstrates how to use the C++ and Python APIs to implement the most common deep learning layers. May 30, 2023 · From the generated . engine --exportProfile=profile. —useCudaGraph: Enable CUDA graph to reduce enqueue time. This script uses trtexec to build an engine from an ONNX model and profile the engine. plan --warmUp=0 --duration=0 --iterations=50. If you manually installed TensorRT, trtexec is part of the installation. trtexec is a tool to quickly utilize TensorRT without having to develop your own application. The script is provided as a reference and you may collect this information in any way you choose. Reformat time is quite short comparing with DLA time, so you can treat that time as real time DLA costs. xtlytk jhfux quxch cgp skkqlm prmceoi nkqu amg hbzu ohmj