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Update XNNPACK revision to fcbf55a #2223
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2223
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit ec0ca4e with merge base 8299fe3 ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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@GregoryComer has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator. |
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NICE
Summary: Update the revision of the XNNPACK library dependency to fcbf55a. Note that this is part of a synchronized update of XNNPACK for ExecuTorch, PyTorch, and Meta internal. Pull Request resolved: pytorch#2223 Differential Revision: D54499911 Pulled By: GregoryComer
Summary: Update the revision of the XNNPACK library dependency to fcbf55a. Note that this is part of a synchronized update of XNNPACK for ExecuTorch, PyTorch, and Meta internal. Pull Request resolved: pytorch#2223 Differential Revision: D54499911 Pulled By: GregoryComer
Summary: Update the revision of the XNNPACK library dependency to fcbf55a. Note that this is part of a synchronized update of XNNPACK for ExecuTorch, PyTorch, and Meta internal. Pull Request resolved: pytorch#2223 Differential Revision: D54499911 Pulled By: GregoryComer
@GregoryComer merged this pull request in c7fb967. |
Summary: During the XNNPACK update (#2223), wrappers were mistakenly not added due to internal diff and OSS PR being out of sync. This PR restores the wrappers to fix the OSS build. bypass-github-export-checks bypass-github-executorch-ci-checks Pull Request resolved: #2313 Test Plan: OSS CI comes back clean for the build OSS CMake build succeeds OSS Buck build of xnnpack backend succeeds Reviewed By: mcr229 Differential Revision: D54665437 Pulled By: GregoryComer fbshipit-source-id: 6385be1281b61c1e9de86742ac64f2079818dbb8
Update the revision of the XNNPACK library dependency to fcbf55a. Note that this is part of a synchronized update of XNNPACK for ExecuTorch, PyTorch, and Meta internal.