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@pytorchmergebot merge

@pytorchbot successfully started a merge job. Check the current status here and land check progress here.
The merge job was triggered with the land checks (-l) flag. If you did not specify this flag yourself, you are likely enrolled in the land checks rollout. This means that your change will be merged once all checks on your PR and the land checks have passed (ETA 4 Hours). If you need to coordinate lands between different changes and cannot risk a land race, please add the ciflow/trunk label to your PR and wait for signal to complete, and then land your changes in proper order. Having trunk, pull, and Lint pre-run on a PR will bypass land checks and the ETA should be immediate. If this is not the intended behavior, feel free to use some of the other merge options in the wiki.
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Merge failed

Reason: Failed to merge; some land checks failed: pull, pull / linux-bionic-cuda11.6-py3.10-gcc7 / test (distributed, 1, 3, linux.8xlarge.nvidia.gpu)

If you believe this is an error, you can use the old behavior with @pytorchbot merge -g (optionally with the ciflow/trunk to get land checks) or use @pytorchbot merge -f "some reason here". For more information, see the bot wiki.

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@pytorchbot merge -f "Failure of linux-bionic-cuda11.6-py3.10-gcc7 is not related to cudnn upgrade for cuda 11.7"

@pytorchbot successfully started a merge job. Check the current status here.
The merge job was triggered with the force (-f) flag. This means your change will be merged immediately, bypassing any CI checks (ETA: 1-5 minutes). If this is not the intended behavior, feel free to use some of the other merge options in the wiki.
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@pytorchbot revert -m "Reverting broke periodic tests" -c nosignal

@pytorchbot successfully started a revert job. Check the current status here.
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@atalman your PR has been successfully reverted.