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Automated submodule update: tensorpipe #69089
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CI Flow Status⚛️ CI FlowRuleset - Version:
You can add a comment to the PR and tag @pytorchbot with the following commands: # ciflow rerun, "ciflow/default" will always be added automatically
@pytorchbot ciflow rerun
# ciflow rerun with additional labels "-l <ciflow/label_name>", which is equivalent to adding these labels manually and trigger the rerun
@pytorchbot ciflow rerun -l ciflow/scheduled -l ciflow/slowFor more information, please take a look at the CI Flow Wiki. |
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💊 CI failures summary and remediationsAs of commit 2440389 (more details on the Dr. CI page): 💚 💚 Looks good so far! There are no failures yet. 💚 💚 This comment was automatically generated by Dr. CI (expand for details).Please report bugs/suggestions to the (internal) Dr. CI Users group. |
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@facebook-github-bot has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
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Triaging since based on previous issues, this gets reviewers auto-added internally |
This is an automated pull request to update the first-party submodule for pytorch/tensorpipe.
New submodule commit: pytorch/tensorpipe@ed4bbe5
Test Plan: Ensure that CI jobs succeed on GitHub before landing.