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@eqy eqy commented Nov 26, 2024

Since the current kernel is using sm90-specific features, just pre-emptively skip the test for any non-sm90 compute capabilities

cc @yanbing-j @vkuzo @albanD @kadeng @penguinwu

@eqy eqy added open source topic: not user facing topic category matrix multiplication module: floatx (formerly float8) For torch.float8_e5m2 and torch.float8_e4m3 and other sub 8-bit float types labels Nov 26, 2024
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pytorch-bot bot commented Nov 26, 2024

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/141596

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@colesbury colesbury requested a review from drisspg November 26, 2024 21:42
@colesbury colesbury added the triaged This issue has been looked at a team member, and triaged and prioritized into an appropriate module label Nov 26, 2024
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drisspg commented Nov 26, 2024

probably need to and w/ cuda enabled

@eqy eqy added the ciflow/trunk Trigger trunk jobs on your pull request label Dec 10, 2024
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eqy commented Dec 10, 2024

@pytorchmergebot rebase

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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 sm90onlyrowwise onto refs/remotes/origin/viable/strict, please pull locally before adding more changes (for example, via git checkout sm90onlyrowwise && git pull --rebase)

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eqy commented Dec 10, 2024

@pytorchmergebot merge

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pytorch-bot bot pushed a commit that referenced this pull request Dec 11, 2024
Since the current kernel is using sm90-specific features, just pre-emptively skip the test for any non-sm90 compute capabilities

Pull Request resolved: #141596
Approved by: https://github.com/drisspg
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