[Executorch][SDPA] Refactor + Make quantized sdpa handle sequence at dim 1 or 2 #10060
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…dim 1 or 2 Pull Request resolved: #9943 For quantized SDPA we want to evaluate performance impact of having seq at dim 1 as well as dim 2. This diff refactors the code to enable this. The same should be done also for float SDPA but left for future. ghstack-source-id: 277233484 @exported-using-ghexport Differential Revision: [D71833060](https://our.internmc.facebook.com/intern/diff/D71833060/)
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/10060
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…dim 1 or 2 (#10060) For quantized SDPA we want to evaluate performance impact of having seq at dim 1 as well as dim 2. This diff refactors the code to enable this. The same should be done also for float SDPA but left for future. Differential Revision: [D71833060](https://our.internmc.facebook.com/intern/diff/D71833060/)
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…dim 1 or 2 (pytorch#10060) For quantized SDPA we want to evaluate performance impact of having seq at dim 1 as well as dim 2. This diff refactors the code to enable this. The same should be done also for float SDPA but left for future. Differential Revision: [D71833060](https://our.internmc.facebook.com/intern/diff/D71833060/)
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This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #9943 by @kimishpatel
^ Please use this as the source of truth for the PR details, comments, and reviews
ghstack PR base: https://github.com/pytorch/executorch/tree/gh/kimishpatel/170/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/kimishpatel/170/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/kimishpatel/170/orig
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