Add simple example of running with different frameworks in the README
Nobody has claimed this yet.
Assessment
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Newbie friendliness
- 45/100
- Issue type
- Documentation
- Clarity
- Mostly clear
- Activity status
- Stale
- Tech stack
- python
- Domain
- documentation, testing
Research direction
Start with the README and the existing GitHub workflow for the NumPy tests. Check how the test suite is invoked with NumPy, then determine whether the torch and tensorflow imports mentioned in the issue are supported. Done means the README clearly explains the supported framework commands or states which backends are not supported.
Written by the indexing model from the issue text.
Description
While the NumPy tests need to be run like so
import numpy.array_api as array_module
array_api is not an attribute of other modules such as torch or tensorflow. Presumable these should be run like so:
import torch as array_module
import tensorflow as array_module
A couple of sentences stating this in the README might be helpful? Otherwise if they are not officially supported yet (I noticed there is only a github workflow for numpy), then maybe stating this in the README would be helpful? It isn't immediately obvious to me how I should run these tests for different backend frameworks. Any help appreciated!
- Dominant language
- Python
- Stars
- 74
- Forks
- 54
- Avg merge
- 4h 35m
- Merged PRs (30d)
- 4
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