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@nWEIdia nWEIdia commented Mar 15, 2024

Reference PR: #93406

cc @atalman @malfet @ptrblck @eqy

@nWEIdia nWEIdia requested a review from a team as a code owner March 15, 2024 06:48
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pytorch-bot bot commented Mar 15, 2024

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/121956

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

✅ You can merge normally! (1 Unrelated Failure)

As of commit a4a5d05 with merge base 5ea956a (image):

FLAKY - The following job failed but was likely due to flakiness present on trunk:

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@pytorch-bot pytorch-bot bot added the topic: not user facing topic category label Mar 15, 2024
@janeyx99 janeyx99 added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Mar 15, 2024
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Hmm, I think it needs some discussion, because if we are to stop building/testing CUDA-11.8, it means we are loosing Keplers, don't we?
@atalman is there a doc whether this is intended

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johnnynunez commented Mar 17, 2024

Hmm, I think it needs some discussion, because if we are to stop building/testing CUDA-11.8, it means we are loosing Keplers, don't we? @atalman is there a doc whether this is intended

why not mantain 11.8 as cuda 11 and 12.4 as cuda 12? And skip 12.1. I mean maintain always two versions of cuda,
for example if cuda 13 is out, the newer versions it would be 12 and 13

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nWEIdia commented Mar 18, 2024

We discussed for a short term, we would have 11.8, 12.1, and 12.4. I will need to refactor this PR to add back 11.8.

@nWEIdia nWEIdia changed the title CUDA CI changes: 11.8->12.1, 12.1->12.4 Draft: CUDA CI changes: 11.8->12.1, 12.1->12.4 Mar 18, 2024
@nWEIdia nWEIdia changed the title Draft: CUDA CI changes: 11.8->12.1, 12.1->12.4 CUDA CI changes: Add CUDA 12.4 CI Mar 22, 2024
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when will be merged? 😋

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nWEIdia commented Mar 24, 2024

12.4 workflows are failing. Still working on coming up with a fix.

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johnnynunez commented Apr 4, 2024

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ptrblck commented Apr 9, 2024

@johnnynunez Yes, it is! We will focus on 12.4 in this PR and follow up with the cuDNN update separately to avoid creating confusing issues pointing to the CUDA and cuDNN update.

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

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Successfully rebased cuda_124_ci onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via git checkout cuda_124_ci && git pull --rebase)

@nWEIdia nWEIdia requested a review from jeffdaily as a code owner May 10, 2024 00:16
@nWEIdia nWEIdia added ciflow/trunk Trigger trunk jobs on your pull request ciflow/periodic Trigger jobs ran periodically on master (periodic.yml) on the PR ciflow/inductor ciflow/inductor-perf-test-nightly Trigger nightly inductor perf tests ciflow/slow labels May 10, 2024
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pytorch-bot bot commented May 10, 2024

Warning: Unknown label ciflow/inductor-perf-test-nightly.
Currently recognized labels are

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Please add the new label to .github/pytorch-probot.yml

@nWEIdia nWEIdia changed the title CUDA CI changes: Add CUDA 12.4 CI [CUDA] [CI]: Enable CUDA 12.4 CI May 10, 2024
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Successfully rebased cuda_124_ci onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via git checkout cuda_124_ci && git pull --rebase)

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nWEIdia commented May 20, 2024

@malfet Could you please help take another look?
I am composing torchinductor 12.4 issues in here.
Thanks!

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atalman commented May 21, 2024

Hi @nWEIdia please disable the failing tests. We will follow up on this in the issue you opened

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atalman commented May 23, 2024

@pytorchmergebot merge -f "All required tests are pasing"

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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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huydhn commented May 24, 2024

For the context, after this change lands in trunk, the new CUDA 12.4 build starts to fails on newly created open PyTorch PR. Here is what happens:

This is not an ideal rollout, but the way for now is to ask folks to rebase onto main

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nWEIdia commented May 24, 2024

Sorry for the mishaps.

The PR went in 05/23 1:37pm, @malfet issued a "pytorch rebase" at 2:22pm on the #125963 PR, the result is based on #126976 (10:31am)

I guess the lesson is we should request an immediate push to viable/strict for future occurrences like this.

titaiwangms pushed a commit to titaiwangms/pytorch that referenced this pull request May 28, 2024
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