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[Executorch][llm] Add ring buffer based kv cache and mask calculation to MHA #10609

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@kimishpatel kimishpatel commented May 1, 2025

Stack from ghstack (oldest at bottom):

Leveraging previous work now we allow MHA to have ring buffer cache. If ring buffer cache is used
then we query the mask from kv cache and use that for sdpa instead of using precalculated mask.

In this process we had to adjsut ring buffer implementation to allow keeping the context of
full sliding window. See code for comment.

Differential Revision: D73891425

… to MHA

Leveraging previous work now we allow MHA to have ring buffer cache. If ring buffer cache is used
then we query the mask from kv cache and use that for sdpa instead of using precalculated mask.

In this process we had to adjsut ring buffer implementation to allow keeping the context of
full sliding window. See code for comment.

Differential Revision: [D73891425](https://our.internmc.facebook.com/intern/diff/D73891425/)

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pytorch-bot bot commented May 1, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10609

Note: Links to docs will display an error until the docs builds have been completed.

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This pull request was exported from Phabricator. Differential Revision: D73891425

…calculation to MHA"

Leveraging previous work now we allow MHA to have ring buffer cache. If ring buffer cache is used
then we query the mask from kv cache and use that for sdpa instead of using precalculated mask.

In this process we had to adjsut ring buffer implementation to allow keeping the context of
full sliding window. See code for comment.

Differential Revision: [D73891425](https://our.internmc.facebook.com/intern/diff/D73891425/)

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This pull request was exported from Phabricator. Differential Revision: D73891425

@kimishpatel kimishpatel added the release notes: examples Changes to any of our example LLMs integrations, such as Llama3 and Llava label May 5, 2025
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