OpenGVLab / OpenGVLab/Ask-Anything
ModuleNotFoundError: No module named 'dataset'
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Description
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
Traceback (most recent call last):
File "/home/zlj/Ask-Anything/video_chat2/tasks/train_qformer.py", line 13, in
from dataset import create_dataset, create_loader, create_sampler, Metaloader
ModuleNotFoundError: No module named 'dataset'
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 1250378) of binary: /home/zlj/miniconda3/envs/videochat2/bin/python
Traceback (most recent call last):
File "/home/zlj/miniconda3/envs/videochat2/bin/torchrun", line 8, in
sys.exit(main())
File "/home/zlj/miniconda3/envs/videochat2/lib/python3.10/site-packages/torch/distributed/elastic/multiprocessing/errors/init.py", line 346, in wrapper
return f(*args, **kwargs)
File "/home/zlj/miniconda3/envs/videochat2/lib/python3.10/site-packages/torch/distributed/run.py", line 762, in main
run(args)
File "/home/zlj/miniconda3/envs/videochat2/lib/python3.10/site-packages/torch/distributed/run.py", line 753, in run
elastic_launch(
File "/home/zlj/miniconda3/envs/videochat2/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 132, in call
return launch_agent(self._config, self._entrypoint, list(args))
File "/home/zlj/miniconda3/envs/videochat2/lib/python3.10/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:
tasks/train_qformer.py FAILED
Contributor guide
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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 tasks/train_qformer.py, especially its dataset import and the command used to launch it with torchrun. Trace how the dataset module is expected to be discovered, then verify that the training entry point gets past the import under the documented environment. Done means the reported ModuleNotFoundError no longer occurs when launching this task.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100