codecov[bot]
commented
1 year ago Codecov Report
Patch and project coverage have no change.
Comparison is base (
a4cc6cf) 88.53% compared to head (0c3d312) 88.53%.
Additional details and impacted files
```diff @@ Coverage Diff @@ ## master #115 +/- ## ======================================= Coverage 88.53% 88.53% ======================================= Files 9 9 Lines 1116 1116 ======================================= Hits 988 988 Misses 128 128 ``` Help us with your feedback. Take ten seconds to tell us [how you rate us](https://about.codecov.io/nps?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath). Have a feature suggestion? [Share it here.](https://app.codecov.io/gh/feedback/?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=JuliaMath):umbrella: View full report in Codecov by Sentry.
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tknopp
Allows CUDA.jl version 4. The main change is in that in CUDA 4,
CUDA.functional()always returns false during precompilation, so the current thing doens't work (the package would load as empty). In any case, I don't think checkingCUDA.functional()is the recommended thing even in prior versions, since CUDA will always load, so you can just define your functions regardless if later its loaded somewhere with or without functional CUDA.