[ET-VK] Implement generic reduction shader + mean, sum, amax, amin #6473
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Pull Request resolved: #6456 TSIA. This op is used in Llama model architecture. ghstack-source-id: 249709740 @exported-using-ghexport Differential Revision: [D64840505](https://our.internmc.facebook.com/intern/diff/D64840505/)
Pull Request resolved: #6457 ## Context Introduce a generic shader to compute reduction along a single dim, and `keepdim = True`. With the generic shader template, `mean`, `sum`, `amin`, and `amax` can be implemented. ghstack-source-id: 249709743 @exported-using-ghexport Differential Revision: [D64840504](https://our.internmc.facebook.com/intern/diff/D64840504/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/6473
Note: Links to docs will display an error until the docs builds have been completed. ❗ 1 Active SEVsThere are 1 currently active SEVs. If your PR is affected, please view them below: ✅ No FailuresAs of commit d76a506 with merge base 169ddbf ( 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: #6457
^ 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/SS-JIA/127/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/127/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/126/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/127/orig
@diff-train-skip-merge