Files
aituner/patches/vllm-0.24.0-opprof/pytest-evidence.txt
Gahow Wang d5b276180d Add OpProf campaign: protocols, results, patches, run evidence (P0-P6)
Workload-conditioned operator profiling on patched vLLM 0.24.0 +
Qwen3-30B-A3B/H20. H1b PASS (irregular patterns carry +23-45pp R64
raggedness, 8-45% token-efficiency loss vs rectangular controls);
mechanism decomposition kills the padding narrative and finds the
arrival-uniformization artifact (-12.9%); cross-version churn surface
shows TP2/MNS64 -29.4% across vLLM 0.20->0.24 while the argmax held.
Raw Layer-1 JSONL streams (507 MB) stay on disk, git-ignored; footer
sidecars and metrics are tracked.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-13 11:06:10 +08:00

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OpProf standalone pytest evidence
Date: 2026-07-12
Source branch: opprof
Source tip: 23450fb21ac255b0cf710f4ee965ee694921975d
Base: ee0da84ab9e04ac7610e28580af62c365e898389 (v0.24.0)
Environment: Python 3.11.13, pytest 9.1.1, msgspec 0.21.1
vLLM installed: no
torch installed in isolated test environment: no
GPU/remote access: no
Command:
uv run --no-project --with pytest --with msgspec pytest --confcutdir=tests/v1/core tests/v1/core/test_opprof.py -q
Output:
.................. [100%]
18 passed in 1.09s