aws / aws/sagemaker-distribution
Fix Scipy tests for GPU based docker images
- Dominant language
- Shell
- Stars
- 154
- Forks
- 120
- Avg merge
- 5d 4h
- Merged PRs (30d)
- 27
Description
**Issue**: Currently scipy tests are failing when running it for GPU .
More background:
In PyPi, scipy is vended out as a single package. Whereas in Conda forge, scipy is vended out as two different packages - scipy and scipy-tests. (This is a recent change that happened two months ago)
There is a possibility that either one of these packages might be out of date and indirectly causing tests to fail
**Acceptance Criteria**: Scipy tests should succeed for GPU based docker images. Another possible recommendation is to come up with a different testing plan for scipy.
Contributor guide
Research direction
No files or specific test entry points are identified. Start by locating the SciPy tests and package setup used by the GPU-based Docker images, then compare the scipy and scipy-tests package versions from conda-forge. Done means the SciPy tests succeed in those images, or a documented alternative testing plan is agreed.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- docker, python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100