Update previous-versions.md

[Tony-Y]

Use CUDA 11.1 instead of CUDA 11.3 for PyTorch 1.8.1, 1.9.0, and 1.9.1.

This patch will close three issues: #1403, #1033, and #925.

This work comes from: https://discuss.pytorch.org/t/cant-find-package-of-pytorch1-8-1-and-cudatoolkit-11-3/212679

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[Tony-Y]

I have checked PyTorch installations for CUDA 11.1 and 11.3 using GitHub Actions.

CUDA 11.1: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12367435889
The CUDA version of PyTroch was installed for CUDA 11.1.

CUDA 11.3: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12367435900
The CUDA version of PyTroch was NOT installed for CUDA 11.3. Instead, the CPU version was installed.

Edit
OS: Ubuntu 22.04, Windows Server 2022
Python: 3.9
PyTorch: 1.8.1, 1.9.0, 1.9.1
CUDA Toolkit: 11.1, 11.3

[Tony-Y]

I have checked if it is possible to import torchvision and torchaudio. On Windows, we have to install pillow and soundfile via PyPI. The CUDA version of pillow emits an error:

ImportError: DLL load failed while importing _imaging: The specified module could not be found.

because jpeg-9b is installed by the requirements for torchvision. soundfile is required for enabling the SoundFile backend in torchaudio. Refer to https://pytorch.org/audio/0.8.0/backend.html.

On Windows, Torchaudio 0.8.1 issues a warning:

UserWarning: torchaudio C++ extension is not available.

because

"sox" and "sox_io" backends require C++ extension module, which is included in Linux/macOS binary distributions.
These backends are not available on Windows.

CUDA 11.1: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12468852141/job/34800857037
The CUDA version of PyTroch and Torchvision were installed for CUDA 11.1.

CUDA 11.3: https://github.com/Tony-Y/check-conda-pytorch/actions/runs/12468852141/job/34800857289
The CUDA version of PyTroch and Torchvision were NOT installed for CUDA 11.3. Instead, the CPU version was installed.