tem must have
the CUDA driver installed and the container must have CUDA)</p>
<p>The correct LibTorch version will be pulled down for you by bazel.</p>
<blockquote>
<div><p>NOTE: For best compatability with official PyTorch, use torch==1.10.0+cuda113, TensorRT 8.0 and cuDNN 8.2 for CUDA 11.3 however Torch-TensorRT itself supports
TensorRT and cuDNN for other CUDA versions for usecases such as using NVIDIA compiled distributions of PyTorch that use other versions of CUDA
e.g. aarch64 or custom compiled versi