Jump to content

NVIDIA Xavier - JetPack 5.0.2 - Components - TensorRT

From RidgeRun Developer Wiki

Follow us on: YouTube Twitter LinkedIn Email Share this page

Share This Page



  Index  







TensorRT is a C++ library that facilitates high performance inference on NVIDIA platforms. It is designed to work with the most popular deep learning frameworks, such as TensorFlow, Caffe, PyTorch etc. It focus specifically on running an already trained model, to train the model, other libraries like cuDNN are more suitable. Some frameworks like TensorFlow have integrated TensorRT so that it can be used to accelerate inference within the framework. For other frameworks like Caffe, a parser is provided to generate a model that can be imported on TensorRT. For more information on using this library read our wiki here






Previous: JetPack 4.1/Components/MultimediaAPI Index Next: JetPack 4.1‎/Components/Cuda



Cookies help us deliver our services. By using our services, you agree to our use of cookies.