Add CUDA process checkpointing helpers#1983
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Copy-pasta from my bot, with internal info redacted. What I did
Test suite structure (13 tests)
Lessons learned
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Pushed e9c03de because the real tests hang in the CI... |
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cuCheckpointProcessCheckpoint hangs on CI runners (ephemeral VM + container), causing all CUDA 13.x test jobs to time out. Skip the tests that call into the checkpoint driver when the CI environment variable is set. Input validation tests still run everywhere. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@kkraus14 I noticed your force-push (to stringify the tests for subprocess) still includes my WAR (checking the env var |
leofang
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Since I also made some changes, would be nice for @Andy-Jost to re-review 🙂
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Addressed Leo’s latest review comments in signed commit On CI: the remaining Other updates:
Local validation passed: |
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Follow-up CI fix pushed in signed commit The first re-enabled CI run showed all eight checkpoint scenario tests failing in wheel jobs before reaching the driver: the subprocess imported |
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Triage for the two failed multi-GPU jobs on
Local validation on the new head:
The new signed/verified head is |
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@Andy-Jost @leofang PTAL, I reworked how the checkpoint test subprocess launching works to avoid having to stringify all of the code and hopefully make it easier to maintain |
Summary
cuda.core.checkpointmodule for CUDA process checkpointing APIs while keepingcuda.core.systemfocused on CUDA system/NVML capabilitiescheckpoint.Process(pid): read-onlypid,state,restore_thread_id,lock,checkpoint,restore, andunlockProcess; the state return type lives incuda.core.typing.ProcessStateTand is rendered in the private API docsProcess.statefrom the CUDA driverCUprocessStateenumerators rather than raw integer valuesCUuuidvalues orDevice.uuidstrings; migration docs and tests now describe the stricter kernel-mode-driver visibility requirement rather than user-space CUDA visibilityCAP_SYS_PTRACE, the CRIU/CPU-process-image boundary, restore-thread requirement, and persistence mode/cuInitrestore requirementcuda-bindingsversion, required binding symbols, and CUDA driver versionRuntimeErrorpython -I cuda_core/tests/test_checkpoint.py ...as a file-backed child entrypoint, avoiding manual cwd/PYTHONPATH rewriting and stringified child Python while preserving installed-wheel imports in CICloses #1343
Testing
git commit -Spre-commit hooks: ruff, formatting, SPDX, whitespace, RST, and related checks passedgit diff --checkpixi run ruff check cuda_core/tests/test_checkpoint.py(All checks passed)pixi run --manifest-path cuda_core pytest cuda_core/tests/test_checkpoint.py cuda_core/tests/test_typing_imports.py(10 passed,6 skipped) after the file-backed subprocess entrypoint simplificationpixi run ruff check cuda_core/cuda/core/checkpoint.py cuda_core/tests/test_checkpoint.py(All checks passed)pixi run --manifest-path cuda_core -e docs docs-build-latest(Sphinx build succeeded)pixi run --manifest-path cuda_core pytest cuda_core/tests --ignore=cuda_core/tests/cython(2798 passed,352 skipped,2 failed)The two Python-suite failures in the broader run are existing local NVML/system environment failures and are not related to this checkpointing change:
cuda_core/tests/system/test_system_device.py::test_get_inforom_versionreturns an empty InfoROM board part number locally.cuda_core/tests/system/test_system_system.py::test_get_process_namehits an NVML UTF-8 decode error locally.Additional local build/test notes:
pixi run --manifest-path cuda_core teststops before pytest in the existingbuild-cython-testspre-step becausecuda_core/tests/cython/test_get_cuda_native_handle.pyxcannot find the expectedcuda.bindings.pxdfiles in this local pixi environment.pixi buildfromcuda_corereaches the existing native cuda-core extension build and then fails with CUDA 12.9 headers that do not declareCU_MEM_ALLOCATION_TYPE_MANAGED; this is in the existing graph/managed-memory extension build path and is not checkpoint-specific.CI note:
8192df67exposed two unrelated/runner issues: one Windows py3.12 build failed inside the shared mini-CTK cache setup before any cuda.core build step, and CUDA 13.x GPU test jobs were canceled after the old in-process checkpoint test hung incuCheckpointProcessCheckpoint.CIskip. Driver-backed checkpoint lifecycle tests now run through isolated subprocess coordinator/target scenarios, and the parent pytest process can kill and skip a scenario that times out instead of letting the CI job hang.7a2e6830passed the checkpoint lifecycle tests and only failed the two multi-GPU jobs. Both failed intest_rotation_migrates_contextbecause the driver accepted the rotation mapping but reported the target context still on the original UUID; the swap migration test already observed and skipped the same no-op behavior. The current head extends that no-op skip handling to rotation while preserving the assertion for any unexpected migrated UUID.Current Test Implementation
The checkpoint tests in
cuda_core/tests/test_checkpoint.pyare real driver/GPU tests, not broad mocks.Input validation and public-symbol checks run everywhere. Driver-backed lifecycle tests create a target process that initializes a real CUDA context, then a coordinator scenario calls
checkpoint.Process(target.pid)and exercisesstate,restore_thread_id,lock,checkpoint,restore, andunlockthrough the real driver. The parent pytest process enforces a timeout around each scenario so unsupported driver/hardware paths skip cleanly instead of hanging the test job.The scenario subprocess is launched as
python -I cuda_core/tests/test_checkpoint.py scenario <name>, and its target process is launched aspython -I cuda_core/tests/test_checkpoint.py target <device_index>. Python isolated mode ignoresPYTHON*environment variables and omits the script/current directory from import resolution, so wheel CI imports the installed package without manualcwdorPYTHONPATHsurgery. The child processes still inherit non-Python CUDA environment such as driver/library paths and device visibility.Migration tests require at least two same-chip GPUs and an unmasked CUDA device view. They build full UUID mappings using
Device.uuidstrings, then exercise rotation and pair-swap migration patterns throughProcess.restore(gpu_mapping=...)in the isolated target process. They skip gracefully whenCUDA_VISIBLE_DEVICESis set, when the local hardware lacks a same-chip GPU pair, when the driver rejects checkpoint migration, or when the driver accepts the mapping but leaves the target context on the original GPU.