Better registration support for a wide range of third-party hardware

[uniartisan]

What does this PR do?

Thank you to the lightning team for providing such an easy-to-use, clearly designed library.

The pr draft hopes to provide better registration support for a wide range of third-party hardware, and the pr is designed to integrate third-party hardware with minimal intrusive changes, including intel XPU, Huawei Ascend NPU, Cambrian, Moorethreads, and more.

Fixes #<issue_number>

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📚 Documentation preview 📚: https://pytorch-lightning--20349.org.readthedocs.build/en/20349/

[uniartisan]

Examples here: https://github.com/uniartisan/RWKV-PEFT/blob/device-enhance/train.py#L499

There are a lot of things to be checked, I will try to do it later and make it more clear in documentation

[codecov]

Codecov Report

Attention: Patch coverage is 72.63158% with 26 lines in your changes missing coverage. Please review.

Project coverage is 87%. Comparing base (9177ec0) to head (dee68b1).
Report is 1 commits behind head on master.

Additional details and impacted files

@@           Coverage Diff            @@
##           master   #20349    +/-   ##
========================================
- Coverage      88%      87%    -1%     
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  Files         267      267            
  Lines       23380    23459    +79     
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- Hits        20481    20377   -104     
- Misses       2899     3082   +183     

[lantiga]

Thank you for the interesting PR! I added a few comments.

[lantiga]

hey @uniartisan are you willing to finish this one up? It would be a welcome contribution

[uniartisan]

hey @uniartisan are you willing to finish this one up? It would be a welcome contribution

sorry for my late reply. I will solve them tomorrow!
😝😝😝😝

[fritol]

will you add DirectML?

[uniartisan]

will you add DirectML?

What I've added is the code for plug-in registration, which means you can register Direct ML by yourself. Just write a few simple function 🤓

[lantiga]

Thank you @uniartisan!