You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
Repository navigation
[Chore] Run the API tests on torchnative in CI, with capability-based skips #140
Prepare the torchnative verification of #84 (M1) and M2 before torchnative's cb-path build, #30 and TN-M1 land: a CI job that installs --extra torchnative (version as an input, default the current PyPI pre-release) and runs the same api/tests (real-model tests included), plus skip conditions that name the missing torchnative capability (e.g. continuous batching unavailable → batching tests skip with the reason; q8_0 quantisation; mps) instead of failing. On upstream PyTorch nothing may skip.
Done when: the job exists (manual + scheduled, non-blocking until torchnative is ready), the skip conditions are documented in SPEC/AGENTS, and a dry run against torchnative 0.1.0b4 shows which tests skip and why.
Landed in develop via #141. First torchnative run (0.1.0b4, Linux CPU, SmolLM2-135M, run 37103684525): 411 passed, 8 skipped — all 8 are continuous-batching tests, skipped because transformers' CB allocates with pin_memory, which torchnative 0.1.0b4 does not implement (torchnative #30).
Activity
b-re-w commentedon Oct 3, 2026
Landed in develop via #141. First torchnative run (0.1.0b4, Linux CPU, SmolLM2-135M, run 37103684525): 411 passed, 8 skipped — all 8 are continuous-batching tests, skipped because transformers' CB allocates with pin_memory, which torchnative 0.1.0b4 does not implement (torchnative #30).