[ET-VK] Improve q8 matmul by increasing TILE_N4 #14610
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/14610
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Title says it all! I found that the latency of executing int8 matmul can be improved by increases the output tile's N4 dimension to 2. The improvement is about 20-25% on Samsung Galaxy S25. Differential Revision: [D83253129](https://our.internmc.facebook.com/intern/diff/D83253129/) ghstack-source-id: 312106549 Pull Request resolved: #14597
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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: #14597 by @SS-JIA
^ 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/331/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/331/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/329/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/331/orig
Differential Revision: D83253129
@diff-train-skip-merge