mlfoundations / mlfoundations/datacomp
Problems in run train.py
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 792
- Forks
- 65
- PR merge metrics
- No merged PRs in 30d
Description
Hello, I just got a problem.
When I run: [torchrun --nproc_per_node 4 train.py --scale small --data_dir ./Data --output_dir ./Results/ --exp_name clip_score_train_results],
I was told that: [from training.distributed import world_info_from_env
ModuleNotFoundError: No module named 'training'],
But I use pip or conda, I still can not have the module.
Contributor guide
No contributing guide indexed for this repository
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 with train.py and the training.distributed import, then reproduce the reported torchrun command to confirm the ModuleNotFoundError. Check how this repository expects the training module to be made available. Done means the command can import training and proceed past startup.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100