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michaelchughes/installing_torch_jax_on_gpu_cluster.md

Created November 29, 2022 00:01
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installing_torch_jax_on_gpu_cluster.md

Install notes from BDL2022f env install on 2022-11-28

  • For CUDA TOOLKIT 11.3, which can be used on older devices but may not be optimal
  1. set up basic conda env without any torch or jax packages, via
conda env create -f bdl_2022f.yml
  1. install pytorch with specific cudatoolkit version
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.3 -c pytorch
  1. install jax with same specific cudatoolkit version
conda install -c "nvidia/label/cuda-11.3.1" cuda-nvcc
pip install "jax[cuda11_cudnn82]" -f https://storage.googleapis.com/jax-releases/jax_cuda_releases.html

The first line is needed to be sure that the correct version of nvidia's cuda-nvcc tools are installed without that line, I got an error about missing "ptxas", which I solved via this helpful thread jax-ml/jax#6843 (reply in thread)

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