Upgrading the CUDA version in Kaggle notebook
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 20/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- docker, python
- Domain
- devops, documentation
Research direction
The issue names no file, test, or entry point and only asks for help upgrading CUDA in a Kaggle notebook with a custom Docker image. Start by reviewing the repository's Docker image setup and determine what documented steps would make that workflow reproducible; done means the required process is clearly documented.
Written by the indexing model from the issue text.
Description
I’m trying to upgrade the CUDA version in a Kaggle notebook using a custom Docker image. Can anyone help me by providing the steps I need to follow to successfully complete this process?
- Dominant language
- Python
- Stars
- 2.7k
- Forks
- 1k
- Avg merge
- 5h 55m
- Merged PRs (30d)
- 1
Contributor guide
No contributing guide indexed for this repository
First steps
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- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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