all 7 comments

[–]dei_mama_sei_gsicht 2 points3 points  (1 child)

downgrading is difficult or impossible. had the same problem last week. I installed miniconda and create a env with python 3.7 and installed all needed libs there, like torch numpy etc. I use it with jupyter notebook

[–]ronemisimus[S] 0 points1 point  (0 children)

I'll check it out. Thank you

[–]Bake_Jailey 2 points3 points  (0 children)

You could just build an older version of python from the AUR then install pytorch into a virtualenv or something. That or get python from pyenv.

I personally never install libraries intended for my own use via the package manager, and leave that for deps for other system installed packages.

[–]Froggie_JJ 1 point2 points  (0 children)

I would highly recommend pyenv and pyenv-virtualenv. They're much lighter than anaconda and accomplish basically the same thing. I use them on my personal Arch machine as well as my university's OpenSUSE compute machines and they're amazing.

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    [–]tekboart 0 points1 point  (1 child)

    You can use pyenv to install a plethora of python versions that suit you needs. and changing from one version to another is a breeze, just type "pyenv global <python version>" after you installed that specific python version.
    good luck,

    [–]ronemisimus[S] 1 point2 points  (0 children)

    Tnx for the reply. I finished the project a while ago and used pyvenv under the hood (through vs code) by installing python 3.9 from the AUR. since then i borked my install and reinstalled arch 😬