add support for CUDA.jl v5 #283
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Codecov ReportAll modified and coverable lines are covered by tests ✅
❗ Your organization needs to install the Codecov GitHub app to enable full functionality. Additional details and impacted files@@ Coverage Diff @@
## master #283 +/- ##
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- Coverage 75.57% 75.50% -0.08%
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Files 41 41
Lines 4529 4520 -9
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- Hits 3423 3413 -10
- Misses 1106 1107 +1 ☔ View full report in Codecov by Sentry. |
sshin23
approved these changes
Dec 1, 2023
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Interestingly, it looks like the seed is not working if we call
randnafter allocating arrays on the device.This PR adds support for CUDA.jl 5.0: the solution is to instantiate all the data in one place, to make sure the seed works correctly.
cc #282