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Move STE/LSQ activation quantizers from QAT to trainable infrastructure for PyTorch #1178

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merged 4 commits into from
Sep 3, 2024

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@irenaby irenaby commented Aug 20, 2024

Pull Request Description:

Checklist before requesting a review:

  • I set the appropriate labels on the pull request.
  • I have added/updated the release note draft (if necessary).
  • I have updated the documentation to reflect my changes (if necessary).
  • All function and files are well documented.
  • All function and classes have type hints.
  • There is a licenses in all file.
  • The function and variable names are informative.
  • I have checked for code duplications.
  • I have added new unittest (if necessary).

@irenaby irenaby force-pushed the act_quant branch 6 times, most recently from 6373e39 to a6a8e92 Compare August 25, 2024 10:50
@irenaby irenaby changed the title move activation quantizers from qat to trainable infrastructure for p… Unify QAT and GPTQ activation quantizers for PyTorch Aug 25, 2024
@irenaby irenaby marked this pull request as ready for review August 25, 2024 11:47
@irenaby irenaby requested a review from ofirgo August 25, 2024 11:48
@irenaby irenaby changed the title Unify QAT and GPTQ activation quantizers for PyTorch Move STE/LSQ activation quantizers from QAT to trainable infrastructure for PyTorch Sep 1, 2024
@ofirgo ofirgo self-requested a review September 3, 2024 11:57
@irenaby irenaby merged commit 3a3cc2c into main Sep 3, 2024
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2 participants