aszc-dev
8382b13598
Phase 4 of the modernization plan: institutionalize the 3-tier strategy so future changes are guarded automatically, and pin down the self-hosted M2 path the maintainer's hardware needs. Tier dispatch - Makefile targets test-unit / test-smoke / test-m2 / bench (plus ci-tier0 / ci-tier1 wrappers that echo env first). check-macos-arm fails fast on non-Apple-Silicon hosts. Tier 1 smoke - tests/smoke/test_synthetic_unet.py: builds a TinyUNet (conv-in, time/text projections, conv-out), traces it, ct.convert to mlprogram + fp16 CPU_ONLY, loads back via CoreMLModel and asserts expected_inputs + named output. Runs in ~2s; auto-skips on non-Apple-Silicon. Catches coremltools / ml-stable-diffusion API drift without needing a real SD checkpoint or the ANE. GitHub Actions - .github/workflows/tier0.yml: ubuntu-latest on every push/PR, ~10 min budget, minimal-deps install (torch==2.0.1, numpy<1.25, pytest) -> pytest -m unit. - .github/workflows/tier1.yml: macos-14 (M1) on push/PR; opt-in via run-tier1 label on labeled PRs to spare external-doc PRs. - .github/workflows/tier2.yml: self-hosted [macOS, ARM64, coreml] on PR label run-m2 / nightly cron / workflow_dispatch. Starts ComfyUI with --cpu-vae, runs pytest -m m2 + bench/run.py, uploads bench results. Integration coverage moved - Removed tests/integration/test_basic_conversion_1_5.py: it required an MPS reference image (broken on macOS 26 + torch 2.0.1, see Phase 1 Gate) and a checkpoint the maintainer doesn't have on disk (dreamshaper_8). The same coverage now lives in tests/m2/test_golden_image.py: deterministic numerical pass/fail (SHA256 + PSNR fallback) against a stored golden, Core ML pipeline only. No more human eyeballing. Docs - docs/ci-m2.md: one-time runner registration steps, COMFY_DIR persistence, baseline model pre-conversion, trigger semantics, what to do when the runner is offline, and the migration note from integration -> m2 golden. Sanity check - Temporarily set convert_to="BREAKAGE_CANARY_NOT_A_REAL_FORMAT" in the smoke test; Tier 1 surfaced NotImplementedError: Backend converter BREAKAGE_CANARY_NOT_A_REAL_FORMAT not implemented immediately. Reverted. Local verification - make test-unit -> 88/88 passed in 2.09s - make test-smoke -> 1/1 passed in 1.99s
34 lines
959 B
YAML
34 lines
959 B
YAML
name: Tier 0 — Unit (Linux)
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on:
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push:
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branches: [main]
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pull_request:
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# Minimal-deps run: Tier 0 must work without ComfyUI, coremltools, or
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# python_coreml_stable_diffusion (Linux CI image won't have them). The
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# in-tree purity gate (tests/unit/test_tier0_purity.py) double-checks
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# that the suite hasn't started leaking framework imports.
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jobs:
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unit:
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runs-on: ubuntu-latest
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timeout-minutes: 10
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: "3.11"
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- name: Install Tier 0 deps
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run: |
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python -m pip install --upgrade pip
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# Pins mirror pyproject (Phase 1 baseline). Tier 0 only needs
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# torch + numpy + pytest; everything else is Mac-only.
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python -m pip install \
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"torch==2.0.1" "numpy<1.25" \
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"pytest>=8" "pytest-xdist"
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- name: Run Tier 0
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run: pytest -m unit tests/ -v
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