Bootstrap ModelKit#5
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DingmaomaoBJTU
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Mar 18, 2026
vortex-captain
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May 29, 2026
, #5) - Correct the resolve_optimum_library docstring: an explicit `--library transformers` is still rerouted for wrapped types (the predicate is library_name == "transformers"); only an explicit non-transformers library is returned unchanged. - Export resolve_optimum_library via loader/__init__.py (__all__ + module Public API docstring) since it is consumed cross-package; import it from ..loader in export/io.py and commands/inspect.py.
DingmaomaoBJTU
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Jun 22, 2026
…sampling, promote_findings) Aligns the autoconfig POC code with docs/self-evolution-design.html section 4. Implements the components still marked TODO; champion-config, arch pruning (build_insight) and the feature-gaps log were already done. bench_utils.py (Fix #1/#2/#5): - run_perf_session: atomic single-session perf primitive - paired_ab_bench / adaptive_paired_ab_bench: interleaved baseline-vs-hypothesis A/B so DVFS drift cancels in the within-pair ratio; adaptive variant samples until the 95% CI is decisive (KEEP/DISCARD band) or MAX_PAIRS, returns verdict + CI - thermal_classify: COOL/WARM/HOT_RUN from a cold reference latency - session_cv: shared between-session noise-floor helper promote_findings.py (Fix #4, NEW): reads catalog-*-sweep/*/results.json, applies the L1->L4 confidence ladder (L2 = effect-size gate, L3 = >=2 models/arch, L4 = >=3 arch classes), writes ep_knowledge/_auto_promoted.json as a draft sink that never clobbers curated KB. Tolerant of both QNN (full.p50s_ms) and GPU/CPU (full_p50s_ms) schemas. catalog_qnn_sweep.py (Fix #1 wiring): opt-in --paired-ab flag (default off) that runs adaptive paired A/B per hypothesis against the baseline ONNX and records verdict + CI; sequential Phase B remains the default path. README: document the self-evolution tooling and refresh the directory layout.
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