Extra dependances

[ayasyrev]

• [* ] I've checked contribution guide.

Add "extra" options for pip install.

• tests
• optional
• loggers
• nlp

If OK, add info to documentation. Now we can move "tensorboard" to loggers and create cv requrements file

[ayasyrev]

Now "extra" is: "optional", "nlp", "full" and "tests". Later will be "cv", "pipelines", "audio".

[AlekseySh]

@ayasyrev everything looks okay to me

let's finish with my comment above and fix that numpy error, it should be simple

after that we are good to merge

[DaloroAT]

Do we need to add typings from transformers for NLP related modules (datasets, models)? Right now placeholders with Any type there. Or we can do it in separate PR.

[AlekseySh]

@DaloroAT

https://github.com/OML-Team/open-metric-learning/pull/596#issuecomment-2171833135

I've tried and failed in the previous PRs. Spent a few hours on that. Seems like I could not make work type hints when they created in if-else condition. Probably I can may it work... I dont'know

[DaloroAT]

I've tried and failed in the previous PRs. Spent a few hours on that. Seems like I could not make work type hints when they created in if-else condition. Probably I can may it work... I dont'know

Now you can import Tokenizers and models from transformers in codebase without if-else. It makes sense, because lib might be installed with [nlp] extra

[AlekseySh]

Now you can import Tokenizers and models from transformers in codebase without if-else. It makes sense, because lib might be installed with [nlp] extra

@DaloroAT what if I installed library without nlp? I will get error when imports chain will be executed

[ayasyrev]

Return tensorboard to main requirements. It needs for short tests.