[ET-VK][ops] Add batch support to q8ta convolutions - #22291
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Add batch-aware direct, pointwise, depthwise, and im2col q8ta convolution dispatch. Batched im2col uses an NCHW scratch tensor and batch-strided shader indexing, with conservative groups=1 high-K/small-spatial routing bounded by a 32 MiB scratch cap. Grouped and large-spatial convolutions stay on the direct path. Authored with Codex. Differential Revision: [D117869783](https://our.internmc.facebook.com/intern/diff/D117869783/) ghstack-source-id: 421281491 Pull-Request: #22254
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/22291
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 16 PendingAs of commit 2cf24e4 with merge base a5f15b5 ( 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: #22254 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/607/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/607/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/605/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/607/orig
Differential Revision: D117869783
@diff-train-skip-merge