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data-apis / array-api-compat

Compatibility layer for common array libraries to support the Array API
https://data-apis.org/array-api-compat/
MIT License
79 stars 26 forks source link

Run CuPy tests on CI #197

Open asmeurer opened 6 days ago

asmeurer commented 6 days ago

We need to run the CuPy tests on CI somehow. Right now, I have to manually run CuPy tests locally when I do a release. But this only works because I have a local machine that has a CUDA GPU. If someone else wanted to do a release, they would need to access such a machine. But also, this means that we only really check CuPy when we do a release. I also check it manually when doing a CuPy related PR, but having it run more often would be nice. It's also easy to forget to do this when releasing.

There are ways of getting GPU runners for CI, which we should use here.

betatim commented 1 day ago

How about using GitHub hosted runners with a GPU? Or are there other "CI with GPUs" that you know of/this project could use?

rgommers commented 23 hours ago

The other option is using Cirun and using an AWS/GCP instance. Also not hard to set up, although GHA is slightly easier (or just more familiar at least). The main thing is the "connect a credit card and manage spend" issue, which is the same either way. I'd go with GHA here I think, and the label-based triggering that you set up for scikit-learn @betatim.