[ET-VK][fix] Widen WAR barrier to a full memory dependency for reused tensors#20951
Merged
Conversation
… tensors `vTensorStorage::transition()` emitted the write-after-read (WAR) barrier with a read-only source access mask, which Vulkan treats as an execution-only dependency (no memory dependency). Some Adreno drivers drop this narrow `COMPUTE -> COMPUTE` dependency, letting the current write race the previous read. This surfaced as deterministic output corruption at the tile seams of the tiled im2col+GEMM conv2d path (the reused im2col scratch `TmpTensor`): the next tile's im2col overwrote the trailing rows of the scratch while the current tile's GEMM was still reading them. The Vulkan op impl was unchanged and passed previously only because other leased CI devices happened to serialize the tiles; a device/driver whose scheduling did not exposed the latent hazard. When the previous access was a genuine read-only (`prev_read && !prev_written && cur_written`), widen the barrier to a full `ALL_COMMANDS` execution + memory dependency so the driver reliably honors it. Scoped to the rare WAR transition, so the common first-write and RAW/WAW paths are untouched; widening a barrier is always correctness-safe. Fixes WAR hazards generically for all storage types, not just this conv. Differential Revision: [D111994459](https://our.internmc.facebook.com/intern/diff/D111994459/) ghstack-source-id: 402958244 Pull-Request: #20915
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/20951
Note: Links to docs will display an error until the docs builds have been completed. ✅ No FailuresAs of commit c9a7a00 with merge base ceecc9e ( This comment was automatically generated by Dr. CI and updates every 15 minutes. |
This PR needs a
|
SS-JIA
approved these changes
Jul 15, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This PR was created by the merge bot to help merge the original PR into the main branch.
ghstack PR number: #20915 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/572/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/572/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/572/orig
Differential Revision: D111994459
@diff-train-skip-merge