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Gives different eval scaling parameters for the three different types of evaluation (bignet, smallnet, psqtOnly). Passed STC: https://tests.stockfishchess.org/tests/view/65f4b0020ec64f0526c4a3bd LLR: 2.96 (-2.94,2.94) <0.00,2.00> Total: 168064 W: 43507 L: 42987 D: 81570 Ptnml(0-2): 662, 19871, 42445, 20393, 661 Passed LTC: https://tests.stockfishchess.org/tests/view/65f6be1a0ec64f0526c4c361 LLR: 2.94 (-2.94,2.94) <0.50,2.50> Total: 162564 W: 41188 L: 40604 D: 80772 Ptnml(0-2): 120, 18112, 44216, 18732, 102 closes https://github.com/official-stockfish/Stockfish/pull/5122 Bench: 2113576
56 lines
1.7 KiB
C++
56 lines
1.7 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
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Stockfish is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Stockfish is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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#ifndef EVALUATE_H_INCLUDED
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#define EVALUATE_H_INCLUDED
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#include <string>
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#include "types.h"
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namespace Stockfish {
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class Position;
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namespace Eval {
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constexpr inline int SmallNetThreshold = 1050, PsqtOnlyThreshold = 2500;
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// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
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// for the build process (profile-build and fishtest) to work. Do not change the
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// name of the macro or the location where this macro is defined, as it is used
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// in the Makefile/Fishtest.
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#define EvalFileDefaultNameBig "nn-1ceb1ade0001.nnue"
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#define EvalFileDefaultNameSmall "nn-baff1ede1f90.nnue"
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namespace NNUE {
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struct Networks;
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}
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std::string trace(Position& pos, const Eval::NNUE::Networks& networks);
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int simple_eval(const Position& pos, Color c);
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Value evaluate(const NNUE::Networks& networks, const Position& pos, int optimism);
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} // namespace Eval
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} // namespace Stockfish
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#endif // #ifndef EVALUATE_H_INCLUDED
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