Closed othertea closed 9 months ago
/take
Sorry, to clarify, I meant you could do one of those options, not that you had to do all three!
I went the yaml way and added an extra one for the cuda install and added the info to the readme. I'll send a PR when my other one is through :)
Issue addressed with PR#50. Thank you @Muedi !
Our current yaml for creating environments is for cpu only and does not specify downloading the cuda version of pytorch. This issue is to create an alternate specification of dependencies for computers with gpus. You can do this by
setup.py
pyproject.toml
Of course, we are open to other ways of doing this, if you prefer!