김경종
40 lines
1.3 KiB
Markdown
40 lines
1.3 KiB
Markdown
# Step 3: device-oom-policy
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## Read First
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- /AGENTS.md
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- /PLAN.md
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- /PROGRESS.md
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- /docs/HARNESS.md
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- /docs/IMPLEMENTATION_PLAN.md
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- /docs/ARCHITECTURE.md
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- /docs/CONVERSION_POLICY.md
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- /docs/TOOLCHAIN.md
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- /phases/1-core-runtime-contracts/step1.md
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## Task
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Implement runtime device selection, CUDA fail-fast behavior, auto CPU fallback behavior, and OOM retry policy hooks.
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This step should be tested with mocks and small CUDA smoke checks only where safe.
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## Sprint Contract
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- Done means: runtime policy enforces explicit CUDA fail-fast, auto fallback warning, and configurable OOM retry reductions.
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- Hard thresholds: no silent CPU fallback for explicit CUDA; tests do not require exhausting VRAM; GTX 1070 Ti constraints remain documented.
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- Files owned: `src/pdftomd/runtime.py`, tests, `docs/TOOLCHAIN.md` if behavior changes, `PROGRESS.md`, phase index.
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- Dependencies: Runtime config options.
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## Acceptance Criteria
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```powershell
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python scripts\validate_workspace.py
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.\venv\python.exe -m pytest tests
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```
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## Verification
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1. Run the acceptance commands.
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2. Confirm CUDA smoke test instructions still work separately.
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3. Update `PROGRESS.md` and this phase index.
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## Do Not
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- Do not intentionally trigger real GPU OOM in tests.
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- Do not change PyTorch pins without updating `docs/TOOLCHAIN.md`.
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- Do not hide runtime warnings.
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