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[ExecuTorch][XNNPACK] Don't partition per_tensor weights with qd8 #8927

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merged 1 commit into from
Mar 4, 2025

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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: #8891 by @digantdesai
^ 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/digantdesai/19/base
ghstack PR head: https://github.com/pytorch/executorch/tree/gh/digantdesai/19/head
Merge bot PR base: https://github.com/pytorch/executorch/tree/main
Merge bot PR head: https://github.com/pytorch/executorch/tree/gh/digantdesai/19/orig
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This is not supported, so we shouldn't partition it.

Add an expectedFailure test to indicate that this is not supported

Differential Revision: [D70343584](https://our.internmc.facebook.com/intern/diff/D70343584/)

ghstack-source-id: 269356867
Pull Request resolved: #8891
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@cccclai cccclai merged commit 2eae802 into main Mar 4, 2025
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@cccclai cccclai deleted the gh/digantdesai/19/orig branch March 4, 2025 18:39
zonglinpeng pushed a commit that referenced this pull request Mar 6, 2025
)

This is not supported, so we shouldn't partition it.

Add an expectedFailure test to indicate that this is not supported

Differential Revision: [D70343584](https://our.internmc.facebook.com/intern/diff/D70343584/)

ghstack-source-id: 269356867
Pull Request resolved: #8891

Co-authored-by: Digant Desai <[email protected]>
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