Better error message for missing optional dependencies
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- Dominant language
- Python
- Stars
- 207
- Forks
- 28
- Avg merge
- 7d 21h
- Merged PRs (30d)
- 1
Description
If you enable the normalizing flow adaptation, but don't have the required dependencies installed, the error only shows up once it tries to sample in one of the child processes:
RuntimeError: All initialization points failed
Caused by:
Could not initialize state because of bad initial gradient: Anyhow(ImportError: The 'flowjax' package is required to use normalizing flow adaptation.)
We should check this earlier.
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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
Locate the normalizing flow adaptation setup and its dependency handling, then reproduce the failure without the required flowjax package. The work is done when the missing dependency is reported before sampling starts in a child process, rather than as an initialization failure.
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
- Mostly clear
- Newbie friendliness
- 45/100