Dont quantize the current token for attention #7140
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Pull Request resolved: #5670 When using quantized kv cache, dequantization routine takes significantly long. This diff just vectorizes dequant per channel for common case. ghstack-source-id: 255730818 @exported-using-ghexport Differential Revision: [D63338858](https://our.internmc.facebook.com/intern/diff/D63338858/)
Pull Request resolved: #5715 ghstack-source-id: 255730816 @exported-using-ghexport Differential Revision: [D63497872](https://our.internmc.facebook.com/intern/diff/D63497872/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7140
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit 233932c with merge base c726a9b ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
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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: #5715
^ 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/114/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/kimishpatel/114/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/kimishpatel/113/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/kimishpatel/114/orig
@diff-train-skip-merge