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This repository was archived by the owner on Feb 6, 2023. It is now read-only.
I am just throwing out some ideas for discussion. 🙂
As you may know, conda-forge's CIs do not have access to GPUs. So, we've been building packages in the dark and had hit bugs a few times. I am wondering if we could enable a CI in this repo that uses PFN's resources to do testing (as an extra safe).
I imagine we could do this:
use one of conda-forge's docker image (such as condaforge/linux-anvil-cuda:10.2)
install miniconda and all ingredients for conda-build
build the recipe from conda-forge/cupy-feedstock's master
test the built package locally by running CuPy's test suite
Likely we don't have to test the full build matrix; PY38 + CUDA 10.2 should provide a representative data point.
One thing I am wondering: If this could be set up, is it possible to invoke the CI here when conda-forge/cupy-feedstock gets new PRs?