PyTorch-specific rules
Open
rule
- Dominant language
- Rust
- Stars
- 49.6k
- Forks
- 2.4k
- Avg merge
- 1d 21h
- Merged PRs (30d)
- 435
Description
Introducing lints for pytorch expands `ruff` utility in the AI/machine learning space, in addition to [Numpy](https://github.com/astral-sh/ruff/issues/2455) and [Spark](https://github.com/astral-sh/ruff/issues/7272). Detecting potential errors during linting has the potential to save costly GPU compute.
Contributor guide
Research direction
No implementation files, tests, rule names, or entry points are identified in the issue. Start by reviewing the linked NumPy and Spark issues and the existing Ruff rule structure; the work is complete only when specific PyTorch lint checks and their expected behavior are defined and implemented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch, rust
- Domain
- machine-learning, tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100