Fix build for MG C++ tests - #8683
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WalkthroughThe KNN and PCA multi-GPU tests now use CUDA stream references and pass native stream handles to APIs. The CI configuration adds a Conda environment, build script, and workflow job for ChangesMulti-GPU C++ test support
Priority: ⬇️ Low Estimated code review effort: 3 (Moderate) | ~20 minutes Change: Bug fix Merge Risk: ⚪ Minimal · up to The identified stream-warning and build-environment concerns do not block the multi-GPU test build. The PR is mergeable after normal checks. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 2 functions across 4 files. (4 skipped: 4 unsupported.) ✨ Finishing Touches🧪 Generate unit tests (beta)
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viclafargue
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Thanks!
I've also noticed that mg C++ tests are not being run in the CI. Is this a deliberate decision?
Yes, historically. The C++ multi-GPU tests need more than one GPU to test their intended behavior, while the Dask tests can run with multi-GPU support enabled on a single GPU. Still, we should at least build the C++ tests in CI to catch compilation errors.
I added the step in |
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Inline comments:
In `@dependencies.yaml`:
- Line 601: Add ccache to the test_cpp environment dependencies in
dependencies.yaml so the environment activated by ci/test_cpp.sh provides the
compiler launcher required by the CMake build.
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dependencies.yaml
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I was able to get |
See #8683 (review) |
Co-authored-by: Bradley Dice <bdice@bradleydice.com>
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@bdice Can you take another look? I've moved the CI job to the CPU runner. |
Co-authored-by: Bradley Dice <bdice@bradleydice.com>
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/merge |
Follow-up to #8645, #8529, and #8564
Update the multi-GPU C++ tests to use the new stream API (
cudaStream_t->cuda::stream_ref)Also update the CI to ensure that MG C++ tests build successfully.