[Feature] support torch.hub.load

[Bing-su]

Problem (Why?)

loading optimizers via torch.hub.load

Solution (What/How?)

it is inconvenient to define functions one by one, I used a trick using globals().

Other changes (bug fixes, small refactors)

Change Callable to Type[Optimizer]. Perhaps this is what you intended. see: typing.Type

Notes

example colab

import torch

Adan = torch.hub.load("Bing-su/pytorch_optimizer:hubconf", "Adan")

[kozistr]

Thanks for your contribution :) I just made a minor comment, everything else looks good!

[codecov-commenter]

Codecov Report

Merging #73 (74caee6) into main (569bf89) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main      #73   +/-   ##
=======================================
  Coverage   96.03%   96.03%           
=======================================
  Files          29       29           
  Lines        2116     2117    +1     
=======================================
+ Hits         2032     2033    +1     
  Misses         84       84           

Impacted Files	Coverage Δ
pytorch_optimizer/__init__.py	100.00% <100.00%> (ø)

Help us with your feedback. Take ten seconds to tell us how you rate us. Have a feature suggestion? Share it here.

[Bing-su]

이렇게 빨리 확인하실줄 몰랐네요... torch.hub.list에 partial, load_optimizer, get_supported_optimizers가 안나오게 변경하고, update_wrapper를 통해 torch.hub.help를 통해 설명이 나오도록 했습니다.

[kozistr]

변경 사항 확인했습니다. merge 후 v1.3.0 으로 package 배포하겠습니다!

감사합니다!