[Misc] Allow LoRA to adaptively increase rank and remove possible_max_ranks

[JinhyunBang]

• Removes possible_max_ranks to serve LoRA adapters with an arbitrary rank.
• When provided with a LoRA adapter with rank larger than the previously set max rank, adaptively increase the matrix sizes rather than throwing an error.

Related Issues: #2847, #3310, #3934

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[DarkLight1337]

@mgoin do you know why the LoRA sizes are fixed like that? Is it because we have compiled ops for this?

cc @jeejeelee

[jeejeelee]

When provided with a LoRA adapter with rank larger than the previously set max rank, adaptively increase the matrix sizes rather than throwing an error.

I'm curious whether the changes are compatible with CUDA graphs. Have you tested this?

[jeejeelee]

@mgoin do you know why the LoRA sizes are fixed like that? Is it because we have compiled ops for this?

See:#1804. IIUC, I thinks due to fixed LoRA slots.

[mgoin]

I agree it would be nice to support larger ranks if the user needs it, but this should maybe be a set argument. I'm not sure if this will work as-is, so I need to see some testing added

[mergify]

This pull request has merge conflicts that must be resolved before it can be
merged. Please rebase the PR, @JinhyunBang.

https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/working-with-forks/syncing-a-fork

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[github-actions]

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