[ATen][CUDA] Add sm_121a flag for RowwiseScaledMM#167734
[ATen][CUDA] Add sm_121a flag for RowwiseScaledMM#167734Aidyn-A wants to merge 2 commits intopytorch:mainfrom
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The label |
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The label |
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/167734
Note: Links to docs will display an error until the docs builds have been completed. ❌ 7 New Failures, 10 Unrelated FailuresAs of commit c162c57 with merge base 2c846bb ( NEW FAILURES - The following jobs have failed:
FLAKY - The following jobs failed but were likely due to flakiness present on trunk:
UNSTABLE - The following job is marked as unstable, possibly due to flakiness on trunk:
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They need their own SM arch? ;-; |
Yes, the arch specific instructions are not compatible between 12.0 and 12.1. |
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The executorch test failures are unrelated. @pytorchbot merge -i |
Merge startedYour change will be merged while ignoring the following 1 checks: trunk / linux-jammy-py3-clang12-executorch / test (executorch, 1, 1, lf.linux.2xlarge, unstable) Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
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@pytorchbot revert -m "fails on CUDA 12.8" |
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❌ 🤖 pytorchbot command failed: Try |
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@pytorchbot revert -m "fails on CUDA 12.8" -c nosignal |
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@pytorchbot successfully started a revert job. Check the current status here. |
This reverts commit 226850c. Reverted #167734 on behalf of https://github.com/Aidyn-A due to fails on CUDA 12.8 ([comment](#167734 (comment)))
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@Aidyn-A your PR has been successfully reverted. |
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Thanks for reverting, this should restore the nightly wheel from the below error. we should add the ciflow/binaries label next time.. |
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Yeah, those failures are certainly not related to the @pytorchbot merge -i |
This PR add a sm_121a flag for row-wise scaled matmuls on DGX Spark. Pull Request resolved: pytorch#167734 Approved by: https://github.com/eqy, https://github.com/cyyever
…7734)" This reverts commit 226850c. Reverted pytorch#167734 on behalf of https://github.com/Aidyn-A due to fails on CUDA 12.8 ([comment](pytorch#167734 (comment)))
This PR add a sm_121a flag for row-wise scaled matmuls on DGX Spark.
cc @ptrblck @msaroufim @eqy @jerryzh168 @tinglvv