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Add simple example of running with different frameworks in the README

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#88 3 comments 0 reactions 0 assignees View on GitHub

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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

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

low priority

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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