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Add meta func for scaled mm #112609

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@drisspg drisspg commented Nov 1, 2023

Summary

Adds a meta implementation for _scaled_mm which is required for dynamic shapes

cc @yanbing-j @vkuzo @albanD @kadeng

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pytorch-bot bot commented Nov 1, 2023

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/112609

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

❌ 1 New Failure, 2 Unrelated Failures

As of commit cca6cfe with merge base fb0e3a5 (image):

NEW FAILURE - The following job has failed:

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

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Looks good - can you make sure there are opinfo inputs if there arent already ?

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@drisspg drisspg added release notes: Meta API release notes category topic: not user facing topic category module: float8 For torch.float8_e5m2 and torch.float8_e4m3 labels Nov 1, 2023
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drisspg commented Nov 2, 2023

@pytorchbot merge

@pytorch-bot pytorch-bot bot added the ciflow/trunk Trigger trunk jobs on your pull request label Nov 2, 2023
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Merge started

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huydhn commented Nov 2, 2023

@pytorchbot revert -m 'Sorry for reverting this change, but it is failing ROCm jobs https://hud.pytorch.org/pytorch/pytorch/commit/75174c379712433af1ff810b36e34573b3d2587e' -c nosignal

We are having capacity issue with ROCm runner, so ROCm jobs are only run in trunk atm. I will add ciflow/rocm to run the jobs on your PR

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@pytorchbot successfully started a revert job. Check the current status here.
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@drisspg your PR has been successfully reverted.

pytorchmergebot added a commit that referenced this pull request Nov 2, 2023
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drisspg commented Nov 3, 2023

@huydhn no worries, I imagine that I just need to add one more decorator to the op info, but will wait for CI to confirm

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drisspg commented Nov 3, 2023

@pytorchbot merge

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Merge failed

Reason: 1 jobs have failed, first few of them are: linux-binary-libtorch-cxx11-abi / libtorch-cpu-shared-with-deps-cxx11-abi-test / test

Details for Dev Infra team Raised by workflow job

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huydhn commented Nov 3, 2023

Just FYI, the binary build failure is unrelated and comes from pytorch/builder#1578 (comment), so that should be safe to bypass

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drisspg commented Nov 3, 2023

@pytorchbot merge -f "unrelated failures"

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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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xuhancn pushed a commit to xuhancn/pytorch that referenced this pull request Nov 7, 2023
# Summary
Adds a meta implementation for _scaled_mm which is required for dynamic shapes

Pull Request resolved: pytorch#112609
Approved by: https://github.com/eellison, https://github.com/malfet
xuhancn pushed a commit to xuhancn/pytorch that referenced this pull request Nov 7, 2023
xuhancn pushed a commit to xuhancn/pytorch that referenced this pull request Nov 7, 2023
# Summary
Adds a meta implementation for _scaled_mm which is required for dynamic shapes

Pull Request resolved: pytorch#112609
Approved by: https://github.com/eellison, https://github.com/malfet
Skylion007 pushed a commit to Skylion007/pytorch that referenced this pull request Nov 14, 2023
# Summary
Adds a meta implementation for _scaled_mm which is required for dynamic shapes

Pull Request resolved: pytorch#112609
Approved by: https://github.com/eellison, https://github.com/malfet
Skylion007 pushed a commit to Skylion007/pytorch that referenced this pull request Nov 14, 2023
Skylion007 pushed a commit to Skylion007/pytorch that referenced this pull request Nov 14, 2023
# Summary
Adds a meta implementation for _scaled_mm which is required for dynamic shapes

Pull Request resolved: pytorch#112609
Approved by: https://github.com/eellison, https://github.com/malfet
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ciflow/rocm ciflow/trunk Trigger trunk jobs on your pull request Merged module: float8 For torch.float8_e5m2 and torch.float8_e4m3 release notes: Meta API release notes category Reverted topic: not user facing topic category
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5 participants