aws-samples / aws-samples/amazon-sagemaker-tsp-deep-rl
Missing problems file and inference file
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- Dominant language
- Python
- Stars
- 19
- Forks
- 1
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Description
Following pytorch_inference.ipynb steps, created a ipynb in cd SageMaker/amazon-sagemaker-tsp-deep-rl but got
ModuleNotFoundError: No module named 'problems'
Cloned https://github.com/chaitjo/learning-tsp/tree/bb28f5795924d99f7e7d945695e884f8d1f7df45/problems to same directory
Got
ModuleNotFoundError: No module named 'inference'
Could not find inference python file/folder in any of both repo
Also same with streamlit run src/streamlit_demo.py, does not recognise problems folder
ModuleNotFoundError: No module named 'problems'
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 following the steps in pytorch_inference.ipynb from SageMaker/amazon-sagemaker-tsp-deep-rl and reproduce the missing problems import. Then run src/streamlit_demo.py and trace how it expects the problems and inference modules to be provided. Done means both entry points can resolve their imports and proceed without ModuleNotFoundError.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, jupyter-notebook, 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