slimtoolkit / slimtoolkit/slim
please help me how to slim gpu docker
Open
Nobody has claimed this yet.
- Dominant language
- Go
- Stars
- 23.4k
- Forks
- 840
- PR merge metrics
- No merged PRs in 30d
Description
like nvcr.io/nvidia/pytorch:21.10-py3
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
No file, test, or entry point is named. Start by investigating how Slim handles the referenced nvcr.io/nvidia/pytorch:21.10-py3 image and whether GPU-specific usage is documented; done means providing a clear, verified way to slim that image or identifying the relevant limitation.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, pytorch
- Domain
- devops, infrastructure
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100