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@1274085042 1274085042 commented Mar 6, 2025

#115395
This issue mentioned that when deterministic mode is turned on, added a decomp for replication_pad_{1,2,3}d
to make the backward function deterministic.
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pytorch-bot bot commented Mar 6, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/148633

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✅ You can merge normally! (6 Unrelated Failures)

As of commit b12c9a5 with merge base bc88f6f (image):

FLAKY - The following jobs failed but were likely due to flakiness present on trunk:

BROKEN TRUNK - The following jobs failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

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

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@colesbury colesbury added the topic: not user facing topic category label Mar 6, 2025
@colesbury colesbury requested a review from svekars March 6, 2025 18:44
@colesbury colesbury added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Mar 6, 2025
@1274085042 1274085042 requested a review from isuruf March 7, 2025 02:27
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@pytorchbot rebase -b main

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@pytorchbot started a rebase job onto refs/remotes/origin/main. Check the current status here

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Successfully rebased ReplicationPad_deterministic onto refs/remotes/origin/main, please pull locally before adding more changes (for example, via git checkout ReplicationPad_deterministic && git pull --rebase)

@pytorchmergebot pytorchmergebot force-pushed the ReplicationPad_deterministic branch from 5901fca to 8863d09 Compare March 10, 2025 06:01
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@pytorchbot merge

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pytorch-bot bot commented Mar 10, 2025

Pull workflow has not been scheduled for the PR yet. It could be because author doesn't have permissions to run those or skip-checks keywords were added to PR/commits, aborting merge. Please get/give approval for the workflows and/or remove skip ci decorators before next merge attempt. If you think this is a mistake, please contact PyTorch Dev Infra.

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@isuruf Could you help me merge it?

@1274085042 1274085042 requested a review from isuruf March 11, 2025 01:53
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@malfet Could you help me merge it?

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@colesbury Could you help me merge it?

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@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Mar 18, 2025
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Merge started

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Merge failed

Reason: 1 jobs have failed, first few of them are: linux-binary-manywheel / manywheel-py3_9-cuda12_8-test / test

Details for Dev Infra team Raised by workflow job

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@pytorchbot rebase -b main

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@pytorchbot started a rebase job onto refs/remotes/origin/main. Check the current status here

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Successfully rebased ReplicationPad_deterministic onto refs/remotes/origin/main, please pull locally before adding more changes (for example, via git checkout ReplicationPad_deterministic && git pull --rebase)

@pytorchmergebot pytorchmergebot force-pushed the ReplicationPad_deterministic branch from 8863d09 to b12c9a5 Compare March 18, 2025 14:04
@pytorch-bot pytorch-bot bot removed the ciflow/trunk Trigger trunk jobs on your pull request label Mar 18, 2025
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@pytorchbot merge

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pytorch-bot bot commented Mar 18, 2025

Pull workflow has not been scheduled for the PR yet. It could be because author doesn't have permissions to run those or skip-checks keywords were added to PR/commits, aborting merge. Please get/give approval for the workflows and/or remove skip ci decorators before next merge attempt. If you think this is a mistake, please contact PyTorch Dev Infra.

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@colesbury Could you help me merge it?

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@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Mar 24, 2025
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Merge started

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Merge failed

Reason: 1 mandatory check(s) failed. The first few are:

Dig deeper by viewing the failures on hud

Details for Dev Infra team Raised by workflow job

Failing merge rule: Core Maintainers

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@pytorchbot merge

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Merge started

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amathewc pushed a commit to amathewc/pytorch that referenced this pull request Apr 17, 2025
…torch#148633)

pytorch#115395
This issue mentioned that when deterministic mode is turned on, added a decomp for replication_pad_{1,2,3}d
to make the backward function deterministic.
@malfet
Pull Request resolved: pytorch#148633
Approved by: https://github.com/isuruf
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