Build cuopt as an abi3 wheel using the CPython Limited API - #1731
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Build one cuopt wheel per (CUDA major, arch) instead of one per Python version, by targeting the CPython Limited API. This drops the cuopt wheel build from 8 CI jobs to 2 and removes the need for a new build when a Python version is added. - python/cuopt: set wheel.py-api = cp311, matching requires-python - bump cython to >=3.2.2,<3.3.0a0 for its Limited API support - name the wheel artifact with 'rapids-artifact-name --stable' (abi3) on both the producing and consuming sides - filter the wheel-build-cuopt matrix to the minimum supported Python Wheel tests still run against the full Python matrix, now all installing the single abi3 wheel. Closes #1725 Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
…tions Surfaced while adding abi3 wheel support: the first attempt invented a generic pip-arg passthrough instead of the '--stable' flag and 'RAPIDS_PY_API' env var that rmm and cudf already use, and would have missed 'rapids-artifact-name --stable' entirely. Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
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Included review availability: Your plan includes up to 12 reviews per rolling hour; 8 remain after this review. 📝 WalkthroughWalkthroughChangesCuOpt now builds stable ABI3 wheels. Build and test scripts use stable artifact selection. CI selects one build per CUDA version and architecture. Cython requirements now use ABI3 wheel production
Estimated code review effort: 3 (Moderate) | ~20 minutes Merge Risk: ⚪ Minimal · up to This PR changes cuopt wheel builds to use the CPython Limited API and updates the corresponding CI matrices and dependencies; no actionable merge-blocking risk remains beyond normal checks and review. Suggested reviewers: 🚥 Pre-merge checks | ✅ 5✅ Passed checks (5 passed)
✨ Finishing Touches🧪 Generate unit tests (beta)
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python/cuopt/pyproject.toml (2)
92-92: 🗄️ Data Integrity & Integration
⚠️ Unverified finding
Sandbox verification was unavailable.Verify the CI override reaches scikit-build-core.
Line 92 sets the default
wheel.py-apitocp311and relies onci/build_wheel_cuopt.shto override it. Confirm that the script passesRAPIDS_PY_APIas thewheel.py-apiconfig setting in the same PEP 517 build invocation. Otherwise, the wheel tag remainscp311-abi3for every job. Scikit-build-core supports this setting through build config settings. (scikit-build-core.readthedocs.io)
106-106: LGTM!dependencies.yaml (1)
306-306: LGTM!conda/environments/all_cuda-129_arch-aarch64.yaml (1)
24-24: LGTM!conda/environments/all_cuda-129_arch-x86_64.yaml (1)
24-24: LGTM!conda/environments/all_cuda-133_arch-aarch64.yaml (1)
24-24: LGTM!conda/environments/all_cuda-133_arch-x86_64.yaml (1)
24-24: LGTM!.github/workflows/build.yaml (1)
160-161: 🗄️ Data Integrity & IntegrationGroup the ABI3 wheel matrix by CUDA major when
matrix_type: autoemits multiple CUDA 12 minors. If artifact names use onlycu12, group by architecture and CUDA major, then include.CUDA_VERin themin_byormax_bykey to select a deterministic minor.skills/cuopt-developer/references/contributing.md (1)
112-112: LGTM!ci/build_wheel.sh (2)
10-25: 🎯 Functional Correctness
⚠️ Unverified finding
Sandbox verification was unavailable.Verify the narrowed argument interface.
After
shift 2, this parser rejects every trailing argument except--stable. Verify that all callers ofci/build_wheel.shuse only the two positional arguments and, optionally,--stable. Otherwise, an existing build invocation will exit before the wheel build.
48-52: LGTM!ci/build_wheel_cuopt.sh (1)
48-60: LGTM!ci/test_self_hosted_service.sh (1)
12-12: LGTM!ci/test_wheel_cuopt.sh (1)
20-20: LGTM!ci/test_wheel_cuopt_server.sh (1)
17-17: LGTM!.github/workflows/pr.yaml (1)
51-51: LGTM!Also applies to: 60-60, 484-485
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The cuopt wheel is now built as abi3, so CPython APIs outside the Limited API fail to compile. Point contributors at the constraint next to the existing Cython build note. Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
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In `@CONTRIBUTING.md`:
- Around line 218-220: Update the limited-API note in CONTRIBUTING.md to replace
the ambiguous, ungrammatical sentence with wording that explicitly states using
an unsupported API fails compilation under -DPy_LIMITED_API, not at runtime.
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This is looking great!!! I spot-checked the logs, all looking the way I'd expect. It's great that this didn't require any Python code changes.
One other small request... can you please also add abi3audit to ci/validate_wheel.sh? You could follow the examples from the PRs linked to rapidsai/build-planning#315
- add abi3audit to ci/validate_wheel.sh, matching cudf/rmm. The '*abi*' name filter skips the py3-none wheels, which abi3audit rejects for having DSOs with no ABI tag. - group the cuopt wheel matrix by CUDA major rather than full CUDA version. Artifact names encode only the major, so two minors in one major would have produced two jobs racing on the same artifact name. No change to the current matrix. - skills: cudf now lives in the NVIDIA org - reword the Limited API note in CONTRIBUTING.md Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
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Thanks @jameslamb! Added Also addressed the CodeRabbit findings in the same commit, and verified the two it flagged as unverified: Matrix grouping (valid, fixed). The filter grouped on the full
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In `@ci/validate_wheel.sh`:
- Around line 49-58: Update the wheel selection and validation flow in
ci/validate_wheel.sh to match only *-abi3-*.whl files, fail when no such wheel
is found, and run abi3audit exclusively on the matched ABI3 wheels.
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Tighten the abi3audit selection from '*abi*' to '*-abi3-*.whl', and fail when 'python/cuopt' yields no abi3 wheel. Dropping 'wheel.py-api' would otherwise skip the audit silently and leave CI green. The check is scoped to 'python/cuopt' because libcuopt, cuopt_server and cuopt_sh_client share this script and are all 'py3-none'. Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
| # abi3 wheel: build one per ARCH + CUDA major, using the minimum supported Python. | ||
| # Grouping on the CUDA major (not the full version) keeps one job per published | ||
| # artifact name, which only encodes the major. | ||
| matrix_filter: group_by([.ARCH, (.CUDA_VER|split(".")|map(tonumber)|.[0])]) | map(min_by((.PY_VER|split(".")|map(tonumber)), (.CUDA_VER|split(".")|map(-tonumber)))) |
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I see this came from CodeRabbit's suggestion you posted:
Matrix grouping (valid, fixed). The filter grouped on the full CUDA_VER, but artifact names encode only the CUDA major. With two minors in one major that would have produced two jobs writing the same artifact name. Now grouped on [.ARCH, CUDA major] with a deterministic minor tiebreak, matching the existing libcuopt filter. Checked against both matrices — identical output today (4 jobs, all 3.11), 8 → 4 on a matrix with two minors per major.
This is fine but it's unnecessary complexity. The matrix we use for wheel builds very intentionally only chooses a single minor version from within each CUDA major family.
I cannot foresee a situation where that matrix would have multiple minor versions from the same major version in it.
I have a weak preference for reverting this back to the form used in cudf and all other RAPIDS repos:
Consistency makes automation easier.
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Makes sense — reverted in b9165cc. Both pr.yaml and build.yaml now use the exact form you linked, comment included:
# Build a wheel for each CUDA x ARCH x minimum supported Python version
matrix_filter: group_by({CUDA_VER, ARCH}) | map(min_by(.PY_VER | split(".") | map(tonumber)))
Good to know the wheel matrix guarantees one minor per CUDA major — that was the assumption I couldn't confirm from outside, so I'd hedged against it.
While you're here: there's one more deliberate divergence I'd like your call on, in ci/validate_wheel.sh. CodeRabbit flagged that the abi3audit step silently no-ops when find matches nothing, so I tightened the glob to *-abi3-*.whl and added a failure when python/cuopt produces no abi3 wheel — the idea being that dropping wheel.py-api would otherwise skip the audit and leave CI green. It's scoped to python/cuopt because libcuopt/server/sh-client share the script and are all py3-none.
By the same consistency argument you just made, I'm happy to drop it and match cudf/rmm exactly. Your call — it's a one-line revert either way.
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I intentionally left out cases like if [[ "${package_dir}" == "python/cuopt" ]], because I didn't want anyone to have to remember to update that code as the set of packages changes (which could happen, similar to #1622).
dropping wheel.py-api would otherwise skip the audit and leave CI green
This would already be caught by other things in CI. If you omitted that, the wheel would be a cp311-cp311-manylinux wheel (because it was built on Python 3.11 thanks to the matrix_filter), and Python 3.12+ wheel-testing CI jobs should fail with a loud error about not being able to find artifacts / install packages.
IMO it should be reverted back to the form I used in the other PRs. But I don't feel strongly enough to block the PR over it.
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Reverted in 187f06a — ci/validate_wheel.sh now matches cudf's version byte for byte (diffed to confirm).
You're right that the case is already covered, and I checked it rather than take my own word for it: wheel-tests-cuopt runs on 3.11, 3.12, 3.13 and 3.14, so a cp311-cp311 wheel would fail to install in 6 of the 8 test jobs. Loud enough, and it doesn't depend on anyone maintaining a package list.
The point about #1622 is the one that actually changes how I'd approach this next time — I was optimizing for catching a regression and hadn't weighed the cost of a conditional that silently goes stale when the package set moves. Thanks for spelling it out.
The wheel build matrix intentionally carries a single CUDA minor per major, so grouping on the CUDA major added no coverage. Match the form used in cudf and the other RAPIDS repos instead. Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
Drop the package-specific conditional so the set of packages sharing this script can change without anyone remembering to update it. The case it guarded is already caught: a cuopt wheel built without 'wheel.py-api' is tagged cp311-cp311, which fails to install in the Python 3.12+ wheel-test jobs. Signed-off-by: Ramakrishna Prabhu <ramakrishnap@nvidia.com>
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Ram could we extend this to Conda as well? For context, here is how this was done for RMM: rapidsai/rmm#2241 |
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@jakirkham yes — planning to do that as a follow-up PR, keeping this one scoped to wheels so it can merge on its own. Thanks for the rmm reference, that's the pattern we'll follow. One difference worth flagging up front, since it makes cuOpt's conda side a bit more involved than rmm's. So the follow-up will take the cudf shape rather than the rmm one:
That should take conda python builds from 16 jobs to 4, matching what this PR does for wheels. It does depend on this PR, since the conda package only becomes abi3 once |
Noticed while reviewing #1731 and looking through logs... `cuopt-cu{12,13}` wheels are vendoring a copy of `libnvJitLink.so`. ```console $ pydistcheck --inspect ./cuopt_*.whl checking './cuopt_cu13-26.10.0a30.post260818050850-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl' ----- package inspection summary ----- file size * compressed size: 40.661M * uncompressed size: 99.188M * compression space saving: 59.0% contents * directories: 25 * files: 106 (10 compiled) size by extension * .33 - 93.318M (94.1%) * .so - 5.188M (5.2%) * .py - 0.477M (0.5%) * .pyx - 0.136M (0.1%) * .pxd - 34.861K (0.0%) * no-extension - 23.259K (0.0%) * .md - 7.102K (0.0%) * .txt - 4.773K (0.0%) * .json - 1.647K (0.0%) largest files * (93.318M) cuopt_cu13.libs/libnvJitLink-3ba1e744.so.13.3.33 * (1.326M) cuopt/routing/vehicle_routing_wrapper.cpython-312-x86_64-linux-gnu.so * (1.167M) cuopt/routing/utils_wrapper.cpython-312-x86_64-linux-gnu.so * (1.092M) cuopt/distance_engine/waypoint_matrix_wrapper.cpython-312-x86_64-linux-gnu.so * (0.408M) cuopt/linear_programming/solver/solver_wrapper.cpython-312-x86_64-linux-gnu.so ``` That's unnecessary in 2 ways: * `cuopt` doesn't directly use nvJitLink (`auditwheel` is probably picking that up as a transitive dependency coming from cusparse or similar) * even if it did, it should get a copy from `nvidia-nvjitlink-cu{12,13}` wheels, not vendor one This proposes removing that file from `cuopt` wheels and tightening the wheel-size limits to help prevent things like this from slipping through again. ## Issue N/A ## Notes for Reviewers ### How I tested this Check the `pydistcheck` output in CI logs from builds. Saw wheel-testing CI pass. # Authors: - James Lamb (https://github.com/jameslamb) Approvers: - Ramakrishna Prabhu (https://github.com/ramakrishnap-nv) - Bradley Dice (https://github.com/bdice) URL: #1741
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@jakirkham conda follow-up is up as #1744 (draft, stacked on this branch so the diff stays scoped to conda — I'll retarget it to |
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/merge |
5 participants
Closes #1725.
Builds
cuoptagainst the CPython Limited API so we ship one wheel per (CUDA major, arch) instead of one per Python version. Thecuoptwheel build drops from 8 CI jobs to 2, and adding a new Python version no longer requires a new build.python/cuopt:wheel.py-api = "cp311"(matchesrequires-python), overridden per-job byRAPIDS_PY_API>=3.2.2,<3.3.0a0for its Limited API supportrapids-artifact-name --stableon both the producing and consuming sideswheel-build-cuoptmatrix filtered to the minimum supported Pythonlibcuoptis alreadypy3-noneand the server/client wheels are pure Python, so this only touchespython/cuopt. Wheel tests still run the full Python matrix, now all installing the single abi3 wheel.Approach mirrors the RAPIDS rollout in rapidsai/build-planning#42 (rmm/cudf
main). rapids-cmake already supportsSKBUILD_SABI_VERSION, so no CMake changes were needed.Verified locally that all 9 Cython modules compile clean under
Py_LIMITED_API=0x030b0000and build as*.abi3.so; no.pyxchanges were required. Full wheel link/test happens in CI.The second commit is a small
skills/doc update, which is why this PR comes from an upstream branch rather than a fork.