[ET-VK] Allow buffer input/output for quantize/dequantize for conv2d ops #15747
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added 2 commits
November 10, 2025 13:32
Pull Request resolved: #15702 Title says it all! With the way the pass is currently written only the first arg will be inspected for q/dq node replacement. As a consequence, the second arg for i.e. binary ops may not have the quantized op be replaced. ghstack-source-id: 322214453 @exported-using-ghexport Differential Revision: [D86674169](https://our.internmc.facebook.com/intern/diff/D86674169/)
Pull Request resolved: #15703 Title says it all! This diff allows quantize/dequantize ops to consume/produce tensors in the `CONTIGUOUS_BUFFER` layout. This can help reduce the number of memory layout transitions needed to execute a model. ghstack-source-id: 322214457 @exported-using-ghexport Differential Revision: [D86674166](https://our.internmc.facebook.com/intern/diff/D86674166/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15747
Note: Links to docs will display an error until the docs builds have been completed. ⏳ No Failures, 92 PendingAs of commit 164cec7 with merge base aba44fd ( 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: #15703 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/361/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/361/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/SS-JIA/360/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/SS-JIA/361/orig
Differential Revision: D86674166
@diff-train-skip-merge