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Upgrade LK/LGPU CI tests to use cuda 12.4 #1023
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## master #1023 +/- ##
==========================================
- Coverage 96.75% 92.42% -4.33%
==========================================
Files 233 112 -121
Lines 39910 16923 -22987
==========================================
- Hits 38614 15641 -22973
+ Misses 1296 1282 -14 ☔ View full report in Codecov by Sentry. |
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This is great, thanks!
Before merging could you please run, stable/stable and latest/latest? |
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LGTM! Thanks @josephleekl
Thanks Amintor! I'll update the latest/latest workflow to check this, as well as run the stable/stable |
Co-authored-by: Ali Asadi <[email protected]>
Before submitting
Please complete the following checklist when submitting a PR:
All new features must include a unit test.
If you've fixed a bug or added code that should be tested, add a test to the
tests
directory!All new functions and code must be clearly commented and documented.
If you do make documentation changes, make sure that the docs build and
render correctly by running
make docs
.Ensure that the test suite passes, by running
make test
.Add a new entry to the
.github/CHANGELOG.md
file, summarizing thechange, and including a link back to the PR.
Ensure that code is properly formatted by running
make format
.When all the above are checked, delete everything above the dashed
line and fill in the pull request template.
Context:
Lightning Kokkos CUDA C++ tests fail to compile due to bug with CUDA 12.2 + Catch2. CI instance is now upgraded to CUDA 12.4, and all GPU CI tests ([LK, LGPU/LTensor]x[C++, Python]) need to be updated to load CUDA 12.4.
Description of the Change:
Update github workflow to load CUDA 12.4. Also change Lightning Kokkos C++ test to use
Release
build instead ofRelWithDebInfo
due to segmentation fault when combined with coverage collection. The relevant test and line is here.Benefits:
Will be able to run Lightning Kokkos C++ tests with CUDA.
Possible Drawbacks:
Related GitHub Issues:
[sc-80288]