zhanghang1989 / zhanghang1989/PyTorch-Encoding
ModuleNotFoundError: No module named 'dataloader.minc'
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Description
Traceback (most recent call last):
File "D:/GitHub/Deep-Encoding-Pooling-Network-DEP-/train.py", line 172, in <module>
main()
File "D:/GitHub/Deep-Encoding-Pooling-Network-DEP-/train.py", line 45, in main
dataset = importlib.import_module('dataloader.'+args.dataset)
File "C:\anaconda\envs\python36\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 965, in _find_and_load_unlocked
ModuleNotFoundError: No module named 'dataloader.minc'
how to deal with this problem? dear zhang.
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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 at train.py line 45, where the dataset argument is used to import dataloader.minc, then inspect the dataloader package and the selected dataset configuration. Confirm whether the referenced module is present and whether the training command uses the expected dataset name; done means training proceeds past this import without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100