perf: Numba JIT kernel per score_by_shift (2.1x speedup)
- Nuovo modulo pm2d/_jit_kernels.py con _jit_score_by_shift Numba njit parallel + fastmath + boundscheck=False - Parallelizzazione per riga output (no race condition su acc) - Fallback automatico numpy se numba non installato - Warmup automatico al module import (evita JIT lag al 1 match) Benchmark clip.png (13 istanze): prima (numpy + threads): 1.55s dopo (numba + threads): 0.72s speedup: 2.1x Pipeline totale full (refine+subpix): 0.80s Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
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@@ -75,12 +119,14 @@ name = "shape-model-2d"
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