mstembera 82bb21dc7a Optimize AVX2 path in NNUE evaluation ... always selecting AffineTransform specialization for small inputs. A related patch was tested as Initially tested as a simplification STC https://tests.stockfishchess.org/tests/view/6317c3f437f41b13973d6dff LLR: 2.95 (-2.94,2.94) <-1.75,0.25> Total: 58072 W: 15619 L: 15425 D: 27028 Ptnml(0-2): 241, 6191, 15992, 6357, 255 Elo gain speedup test STC https://tests.stockfishchess.org/tests/view/63181c1b37f41b13973d79dc LLR: 2.94 (-2.94,2.94) <0.00,2.00> Total: 184496 W: 49922 L: 49401 D: 85173 Ptnml(0-2): 851, 19397, 51208, 19964, 828 and this patch gained in testing speedup = +0.0071 P(speedup > 0) = 1.0000 on CPU: 16 x AMD Ryzen 9 3950X closes https://github.com/official-stockfish/Stockfish/pull/4158 No functional change		2022-09-11 14:19:57 +02:00
..
features	Update copyright years	2022-01-06 15:45:45 +01:00
layers	Optimize AVX2 path in NNUE evaluation	2022-09-11 14:19:57 +02:00
evaluate_nnue.cpp	Use NNUE complexity in search, retune related parameters	2022-06-20 08:30:57 +02:00
evaluate_nnue.h	Update copyright years	2022-01-06 15:45:45 +01:00
nnue_accumulator.h	Update copyright years	2022-01-06 15:45:45 +01:00
nnue_architecture.h	Update NNUE architecture to SFNNv5. Update network to nn-3c0aa92af1da.nnue.	2022-05-14 12:47:22 +02:00
nnue_common.h	Clean up and simplify some nnue code.	2022-02-25 08:37:57 +01:00
nnue_feature_transformer.h	Assorted small cleanups	2022-05-29 18:42:48 +02:00