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Pull request overview
This PR appears to address an RTN (Round-To-Nearest) quantization bug and expand the set of supported quantization dtype prefixes.
Changes:
- Add
mx_intto the globalSUPPORTED_DTYPESlist. - Switch RTN quantization execution from
torch.inference_mode()totorch.no_grad()(linked to issue #1620).
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 3 comments.
| File | Description |
|---|---|
auto_round/utils/common.py |
Expands declared supported dtype prefixes to include mx_int. |
auto_round/compressors/base.py |
Changes RTN quantization decorator to torch.no_grad() to avoid an inference-mode-related issue. |
Contributor
|
/azp run Unit-Test-CUDA-AutoRound |
|
Azure Pipelines successfully started running 1 pipeline(s). |
xin3he
approved these changes
Mar 26, 2026
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Description
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