add the float8 NUZ types to torchao/prototype/mx_formats/fp_format_spec.py
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Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 62/100
- Issue type
- Feature
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python, pytorch
- Domain
- machine-learning
Research direction
Start in torchao/prototype/mx_formats/fp_format_spec.py and compare the existing format specifications with the low-precision dtypes supported in PyTorch. Add the float8 NUZ types and verify that the script covers the intended supported dtypes.
Written by the indexing model from the issue text.
Description
We should cover all the low precision dtypes supported in PT in this script, I wish I had this today as I was working on adding some logic for the NUZ types
- Dominant language
- Python
- Stars
- 3k
- Forks
- 627
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 34
Contributor guide
First steps
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- Open a pull request that references the issue number.
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