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UNSTABLE pull / linux-focal-cuda12.1-py3.10-gcc9-experimental-split-build / test (default) #129080

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huydhn opened this issue Jun 19, 2024 · 5 comments
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module: ci Related to continuous integration triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module unstable

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@huydhn
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huydhn commented Jun 19, 2024

This is a new update to CI and folks will need to include the merge base https://hud.pytorch.org/hud/pytorch/pytorch/236fbcbdf44ea429b11ac44c1814af56ca243605/1 to get it pass on their PR. So, I keep the job as unstable in the next few days to soften the CI impact until most devs move pass that commit.

cc @seemethere @malfet @pytorch/pytorch-dev-infra @PaliC

@pytorch-bot pytorch-bot bot added module: ci Related to continuous integration unstable labels Jun 19, 2024
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pytorch-bot bot commented Jun 19, 2024

Hello there! From the UNSTABLE prefix in this issue title, it looks like you are attempting to unstable a job in PyTorch CI. The information I have parsed is below:
  • Job name: pull / linux-focal-cuda12.1-py3.10-gcc9-experimental-split-build / test (default)
  • Credential: huydhn

Within ~15 minutes, pull / linux-focal-cuda12.1-py3.10-gcc9-experimental-split-build / test (default) and all of its dependants will be unstable in PyTorch CI. Please verify that the job name looks correct. With great power comes great responsibility.

@huydhn
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huydhn commented Jun 19, 2024

I'm seeing the new failure showing on my PR at #128873 (comment)

@malfet malfet added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Jun 21, 2024
@huydhn huydhn closed this as completed Jun 21, 2024
@huydhn huydhn reopened this Jun 21, 2024
@huydhn
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huydhn commented Jul 6, 2024

This has been unstable for 2 weeks while green in trunk, so I'm closing this now.

@huydhn huydhn closed this as completed Jul 6, 2024
@WeiChunyu-star
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is this the same issue?#130545
@huydhn
Please help to check it out

@huydhn
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huydhn commented Jul 23, 2024

For the context, the issue has been fixed, but you need to do a rebase on your PR for the test to pass. It's not ideal, but it's a good practice to base your PR on a recent commit like a few days old at most. Just FYI, you can rebase easily with @pytorchbot rebase (to PyTorch stable branch) or @pytorch rebase -b main (to latest main commit) on your PR.

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module: ci Related to continuous integration triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module unstable
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