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[Docs] Convert to markdown: torch.compiler_troubleshooting.rst #155514

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kiszk
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@kiszk kiszk commented Jun 10, 2025

@pytorch-bot pytorch-bot bot added the topic: not user facing topic category label Jun 10, 2025
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pytorch-bot bot commented Jun 10, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/155514

Note: Links to docs will display an error until the docs builds have been completed.

❌ 1 New Failure, 1 Unrelated Failure

As of commit ad8c3ab with merge base 2578796 (image):

NEW FAILURE - The following job has failed:

UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:

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@github-actions github-actions bot added docathon-h1-2025 medium Label for medium docathon tasks module: docs Related to our documentation, both in docs/ and docblocks triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module labels Jun 10, 2025
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svekars commented Jun 10, 2025

@pytorchbot merge -f "Docs update only, doc signal is green."

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Merge started

Your change will be merged immediately since you used the force (-f) flag, bypassing any CI checks (ETA: 1-5 minutes). Please use -f as last resort and instead consider -i/--ignore-current to continue the merge ignoring current failures. This will allow currently pending tests to finish and report signal before the merge.

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kiszk commented Jun 10, 2025

Thank you!

thatgeeman pushed a commit to thatgeeman/pytorch-docathon that referenced this pull request Jun 15, 2025
…ch#155514)

Part of changes pytorch#155040 (parent PR pytorch#155120)

Follow-up of pytorch#155351. I split the changes of `torch.compiler_troubleshooting.rst ` into pytorch#155351 and this PR due to the 2000-line limit in one PR.

Pull Request resolved: pytorch#155514
Approved by: https://github.com/svekars
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docathon-h1-2025 medium Label for medium docathon tasks Merged module: docs Related to our documentation, both in docs/ and docblocks open source topic: not user facing topic category triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module
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