[ET-VK][int4] patch 4-bit linear op for ensuring w-packed in/out #8253
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February 5, 2025 16:56
…linear modules with biases Pull Request resolved: #8224 While LLaMa does not have biases, there are some models which will have biases in their linear modules. Add support in the source transform quantizer for biases. ghstack-source-id: 264952608 @exported-using-ghexport Differential Revision: [D69072087](https://our.internmc.facebook.com/intern/diff/D69072087/)
Pull Request resolved: #8225 If the partitioner is using channels-packed setting for activations, then the checks will throw. Remove the checks and conditionally re-pack the input/output tensors if they are not width-packed. ghstack-source-id: 264952605 @exported-using-ghexport Differential Revision: [D68813946](https://our.internmc.facebook.com/intern/diff/D68813946/)
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/8253
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: ❌ 1 New FailureAs of commit 65117d5 with merge base 7805229 ( NEW FAILURE - The following job has failed:
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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: #8225
^ 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/nathanaelsee/2/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/nathanaelsee/2/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/gh/nathanaelsee/1/orig
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/nathanaelsee/2/orig
@diff-train-skip-merge
cc @SS-JIA @manuelcandales