Commit 9f42682
audit(linux-cuda): v30 PR #60 spot-check — F1 fix holds, no findings
Cross-platform validation of the v30 macOS audit (PR #60: huggingface_hub
in chorus-chrombpnet env yaml + slim HF mirror). The macOS scorched-earth
audit flagged the env-yaml change as the kind of thing that can behave
differently across platforms; the v29 Linux/CUDA baseline predates the
slim-mirror feature so it's not a substitute. This audit pins parity on
Linux/CUDA.
Run on Linux ml008 (5.15.0-170-generic / 2× NVIDIA A100 80 GB PCIe).
Outcome: 0 new findings. Same fast-suite pass count + same integration
behaviour as macOS. The slim-mirror code path resolves under Linux
mamba just as it does on macOS.
Findings:
- mamba env create from the new chrombpnet.yml resolves clean on Linux
- huggingface_hub>=0.20.0 installs from conda-forge with no transitive
dep mismatch
- F1 regression test passes inside the Linux-built chorus-chrombpnet env
- Fast pytest: 346 passed / 4 deselected (matches macOS)
- Integration pytest: 3 passed / 1 skipped (matches macOS)
Notes for future audits on this host:
- Lab shared NFS makes mamba env create and small-file ops slow
(50+ min env build vs 40 s on local SSD)
- First fast-pytest run timed out on a transient do_poll syscall
(52 s CPU in 30 min wall); kill + rerun completed in 10 min cleanly
- GPU contention on cuda:0 from another user at audit time; tests ran
on cuda:1 / CPU — slim-mirror is HTTP-only so no GPU impact
Not in this audit (deferred to maintainer):
- Full chorus setup --oracle all reinstall on Linux
- Cherry-pick F1 lesson into docs/plans/sei-hf-mirror.md
Artifacts: report.md + chorus_fast_pytest.log + chorus_integration_pytest.log
+ chrombpnet_env_create.log + system_info.txt under
audits/2026-04-29_v30_linux_cuda_spotcheck/.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>1 parent 45c8d91 commit 9f42682
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