ci: remove rapids containers from conda ci #737
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leofang
approved these changes
Jan 20, 2026
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Greptile SummaryRemoves RAPIDS container infrastructure from conda CI workflow, transitioning to direct runner execution with pixi. The changes eliminate the Key changes:
Confidence Score: 4/5
Important Files Changed
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Additional Comments (1)
-
.github/workflows/conda-python-tests.yaml, line 30-33 (link)style:
container-optionsinput is no longer used since the container configuration was removed
2 files reviewed, 2 comments
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| @@ -143,8 +121,4 @@ jobs: | |||
| -v \ | |||
| upload-process \ | |||
| -C ${{ github.sha }} \ | |||
| -s "${RAPIDS_COVERAGE_DIR}" \ | |||
| --handle-no-reports-found | |||
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style: Verify codecov correctly finds coverage reports without the -s flag pointing to RAPIDS_COVERAGE_DIR. Tests may need to be configured to generate coverage files in the expected location.
kkraus14
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Jan 21, 2026
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Jan 27, 2026
- Add Python 3.14 to the wheel publishing matrix (NVIDIA#750) - feat: swap out internal device array usage with `StridedMemoryView` (NVIDIA#703) - Fix max block size computation in `forall` (NVIDIA#744) - Fix prologue debug line info pointing to decorator instead of def line (NVIDIA#746) - Fix kernel return type in DISubroutineType debug metadata (NVIDIA#745) - Fix missing line info in Jupyter notebooks (NVIDIA#742) - Fix: Pass correct flags to linker when debugging in the presence of LTOIR code (NVIDIA#698) - chore(deps): add cuda-pathfinder to pixi deps (NVIDIA#741) - fix: enable flake8-bugbear lints and fix found problems (NVIDIA#708) - fix: Fix race condition in CUDA Simulator (NVIDIA#690) - ci: run tests in parallel (NVIDIA#740) - feat: users can pass `shared_memory_carveout` to @cuda.jit (NVIDIA#642) - Fix compatibility with NumPy 2.4: np.trapz and np.in1d removed (NVIDIA#739) - Pass the -numba-debug flag to libnvvm (NVIDIA#681) - ci: remove rapids containers from conda ci (NVIDIA#737) - Use `pathfinder` for dynamic libraries (NVIDIA#308) - CI: Add CUDA 13.1 testing support (NVIDIA#705) - Adding `pixi run test` and `pixi run test-par` support (NVIDIA#724) - Disable per-PR nvmath tests + follow same test practice (NVIDIA#723) - chore(deps): regenerate pixi lockfile (NVIDIA#722) - Fix DISubprogram line number to point to function definition line (NVIDIA#695) - revert: chore(dev): build pixi using rattler (NVIDIA#713) (NVIDIA#719) - [feat] Initial version of the Numba CUDA GDB pretty-printer (NVIDIA#692) - chore(dev): build pixi using rattler (NVIDIA#713) - build(deps): bump the actions-monthly group across 1 directory with 8 updates (NVIDIA#704)
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Jan 28, 2026
- Add Python 3.14 to the wheel publishing matrix (#750) - feat: swap out internal device array usage with `StridedMemoryView` (#703) - Fix max block size computation in `forall` (#744) - Fix prologue debug line info pointing to decorator instead of def line (#746) - Fix kernel return type in DISubroutineType debug metadata (#745) - Fix missing line info in Jupyter notebooks (#742) - Fix: Pass correct flags to linker when debugging in the presence of LTOIR code (#698) - chore(deps): add cuda-pathfinder to pixi deps (#741) - fix: enable flake8-bugbear lints and fix found problems (#708) - fix: Fix race condition in CUDA Simulator (#690) - ci: run tests in parallel (#740) - feat: users can pass `shared_memory_carveout` to @cuda.jit (#642) - Fix compatibility with NumPy 2.4: np.trapz and np.in1d removed (#739) - Pass the -numba-debug flag to libnvvm (#681) - ci: remove rapids containers from conda ci (#737) - Use `pathfinder` for dynamic libraries (#308) - CI: Add CUDA 13.1 testing support (#705) - Adding `pixi run test` and `pixi run test-par` support (#724) - Disable per-PR nvmath tests + follow same test practice (#723) - chore(deps): regenerate pixi lockfile (#722) - Fix DISubprogram line number to point to function definition line (#695) - revert: chore(dev): build pixi using rattler (#713) (#719) - [feat] Initial version of the Numba CUDA GDB pretty-printer (#692) - chore(dev): build pixi using rattler (#713) - build(deps): bump the actions-monthly group across 1 directory with 8 updates (#704) <!-- Thank you for contributing to numba-cuda :) Here are some guidelines to help the review process go smoothly. 1. Please write a description in this text box of the changes that are being made. 2. Please ensure that you have written units tests for the changes made/features added. 3. If you are closing an issue please use one of the automatic closing words as noted here: https://help.github.com/articles/closing-issues-using-keywords/ 4. If your pull request is not ready for review but you want to make use of the continuous integration testing facilities please label it with `[WIP]`. 5. If your pull request is ready to be reviewed without requiring additional work on top of it, then remove the `[WIP]` label (if present) and replace it with `[REVIEW]`. If assistance is required to complete the functionality, for example when the C/C++ code of a feature is complete but Python bindings are still required, then add the label `[HELP-REQ]` so that others can triage and assist. The additional changes then can be implemented on top of the same PR. If the assistance is done by members of the rapidsAI team, then no additional actions are required by the creator of the original PR for this, otherwise the original author of the PR needs to give permission to the person(s) assisting to commit to their personal fork of the project. If that doesn't happen then a new PR based on the code of the original PR can be opened by the person assisting, which then will be the PR that will be merged. 6. Once all work has been done and review has taken place please do not add features or make changes out of the scope of those requested by the reviewer (doing this just add delays as already reviewed code ends up having to be re-reviewed/it is hard to tell what is new etc!). Further, please do not rebase your branch on main/force push/rewrite history, doing any of these causes the context of any comments made by reviewers to be lost. If conflicts occur against main they should be resolved by merging main into the branch used for making the pull request. Many thanks in advance for your cooperation! -->
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Remove rapids container usage from pixi/conda CI