meta-pytorch / meta-pytorch/data
Explore lifting the restriction on `max_concurrent`
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 1.3k
- Forks
- 179
- Avg merge
- 6d 1h
- Merged PRs (30d)
- 2
Description
🚀 The feature
Motivation, pitch
Enable more flexible parameter for tuning, although need to keep a check on not overloading memory and system.
Alternatives
No response
Additional context
No response
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
The issue does not name a file, test, or entry point. Start by locating the definition and validation of max_concurrent, then inspect existing tests and how concurrency affects memory and system load. Done means the restriction is made more flexible without allowing unsafe resource usage, with tests covering the accepted parameter range and safeguards.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100