Lightning-AI / Lightning-AI/pytorch-lightning
S3 support for WandBLogger
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 31.4k
- Forks
- 3.8k
- Avg merge
- 6d 7h
- Merged PRs (30d)
- 6
Description
### Description & Motivation
It would be great to have direct s3 support with the `WandBLogger`.
e.g. specifying
```python
logger = WandBLogger(save_dir="s3://{bucket}/{path}")
cli = Trainer(logger=logger)
...
```
Will automatically log WandB artifacts to S3 bucket!
### Pitch
_No response_
### Alternatives
_No response_
### Additional context
_No response_
cc @borda @awaelchli @morganmcg1 @borisdayma @scottire @parambharat
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
Start by locating the WandBLogger implementation and how its save_dir value is handled. Trace the existing artifact logging path, then determine the tests needed to confirm that a save_dir using an s3:// bucket stores WandB artifacts there.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- cloud
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100