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Implemented CUBLAS-style MXFP scale factor derivation, with test cases. #1835

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Implemented CUBLAS-style MXFP scale factor derivation, with test cases.

  • Introduced ScaleCalculationMode.CUBLAS_CEIL
  • Implemented CUBLAS style MXFP scale factor derivation
  • Generated ground truth test cases for nan, denorm and normal cases.

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pytorch-bot bot commented Mar 4, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/1835

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

This comment was automatically generated by Dr. CI and updates every 15 minutes.

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@frsun-nvda frsun-nvda marked this pull request as draft March 4, 2025 23:23
@eqy
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eqy commented Mar 4, 2025

CC @vkuzo @drisspg

@@ -79,6 +79,49 @@ class ScaleCalculationMode(Enum):
FLOOR = auto()
CEIL = auto()
EVEN = auto()
CUBLAS_CEIL = auto()
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nice! maybe we can also update the docblock on L77 to include this one?

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Done. Thanks for catching it.

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this is awesome, thank you for adding this! As long as CI passes, lgtm. Also I did not check the test cases for numerical accuracy - trusting that they are correct :)

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sorry, would you mind accepting the CLA? Then we can run CI and get this in.

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drisspg commented Mar 5, 2025

Looks great

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eqy commented Mar 5, 2025

Forwarded Frank the CLA procedure and hopefully we can get him through ASAP

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5 participants