pytorch / hydra-torch

Configuration classes enabling type-safe PyTorch configuration for Hydra apps

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Is this project still actively developed?

manuelbre opened this issue · comments

Is there any plan to keep this project active? I do not see any active development since quiet a long time.
Would be a shame. I think it's very useful to have configs readily available for PyTorch.

@manuelbre @tiagobotari @shpotes @FeryET @radek555 @itskyf

First of all, I am happy to see people have been using / are still interested in this effort!

I am also very interested in getting this up to date again. I don't presently have a ton of bandwidth to write all of the code, but I can help project manage, write some code, and get this library to the state it should be in if some of you could spare some cycles. We can chat on the hydra zulip chat (which has a lot of useful design decision history on there): https://hydra-framework.zulipchat.com/#narrow/stream/257092-Hydra-Torch

React with a 👍 and joint the zulipchat if you're interested and we can go from there =]

Is this still worth the effort if there are on-the-fly generators like https://github.com/mit-ll-responsible-ai/hydra-zen now available? Are there any advantages for this repo over the one I am mentioning? I was always wondering why to declare Conf dataclasses when most of the needed metadata like parameter names and types can be deduced from classes itself using inspect module.