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New net trained with nnue-pytorch, started from the master net on a data set of Leela (T60.binpack+T74.binpck) and Stockfish data (wrongIsRight_nodes5000pv2.binpack), available as a single interleaved binpack: https://drive.google.com/file/d/12uWZIA3F2cNbraAzQNb1jgf3tq_6HkTr/view?usp=sharing The nnue-pytorch branch used is https://github.com/vondele/nnue-pytorch/tree/wdl, which has the new feature to filter positions based on the likelihood of the current evaluation leading to the game outcome. It should make it less likely to try to learn from misevaluated positions. Standard options have been used, starting from the master net: --gpus 1 --threads 4 --num-workers 4 --batch-size 16384 --progress_bar_refresh_rate 300 --smart-fen-skipping --random-fen-skipping 12 --features=HalfKAv2_hm^ --lambda=1.0 Testing with games shows neutral Elo at STC, and good performance at LTC: STC: https://tests.stockfishchess.org/tests/view/619eb597c0a4ea18ba95a4dc ELO: -0.44 +-1.8 (95%) LOS: 31.2% Total: 40000 W: 10447 L: 10498 D: 19055 Ptnml(0-2): 254, 4576, 10260, 4787, 123 LTC: https://tests.stockfishchess.org/tests/view/619f6e87c0a4ea18ba95a53f ELO: 3.30 +-1.8 (95%) LOS: 100.0% Total: 33062 W: 8560 L: 8246 D: 16256 Ptnml(0-2): 54, 3358, 9352, 3754, 13 passed LTC SPRT: https://tests.stockfishchess.org/tests/view/61a0864e8967bbf894416e65 LLR: 2.94 (-2.94,2.94) <0.50,3.00> Total: 29376 W: 7663 L: 7396 D: 14317 Ptnml(0-2): 67, 3017, 8205, 3380, 19 closes https://github.com/official-stockfish/Stockfish/pull/3808 Bench: 7011501
63 lines
1.8 KiB
C++
63 lines
1.8 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2021 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 <optional>
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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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std::string trace(Position& pos);
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Value evaluate(const Position& pos);
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extern bool useNNUE;
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extern std::string currentEvalFileName;
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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, as it is used in the Makefile.
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#define EvalFileDefaultName "nn-3678835b1d3d.nnue"
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namespace NNUE {
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std::string trace(Position& pos);
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Value evaluate(const Position& pos, bool adjusted = false);
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void init();
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void verify();
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bool load_eval(std::string name, std::istream& stream);
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bool save_eval(std::ostream& stream);
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bool save_eval(const std::optional<std::string>& filename);
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} // namespace NNUE
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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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