opencv/modules/ml/perf/perf_main.cpp at 5.x - opencv - Potok's private Git

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Tonu Samuel 84d900cfda ml: SIMD for KNN brute-force findNearest distance

Vectorize the per-sample squared-Euclidean distance in
BruteForceImpl::findNearestCore with universal intrinsics (two
independent v_fma accumulators + scalar tail). The scalar reduction
accumulates in float in strict order, which the compiler cannot
auto-vectorize without -ffast-math; independent SIMD accumulators
break that serial-accumulation dependency.

Accumulates in float exactly as before (only summation order changes,
~1e-7, below stored float precision); selected neighbors and distances
matched scalar on all test data, ML_KNearest tests pass. Real
findNearest A/B: 3.76x M4, 3.47x Threadripper, 3.73x Xeon, 4.10x A76,
2.82x A55 (in-order).

Adds modules/ml/perf with a findNearest perf test.

2026-06-24 11:31:38 +03:00

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 // This file is part of OpenCV project.
 // It is subject to the license terms in the LICENSE file found in the top-level directory
 // of this distribution and at http://opencv.org/license.html.
 #include "perf_precomp.hpp"
 CV_PERF_TEST_MAIN(ml)