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Passed STC: LLR: 2.93 (-2.94,2.94) <0.00,2.00> Total: 26976 W: 7185 L: 6883 D: 12908 Ptnml(0-2): 89, 3058, 6895, 3354, 92 https://tests.stockfishchess.org/tests/view/6a46dd46f97ff95f78795707 Passed LTC: LLR: 2.95 (-2.94,2.94) <0.50,2.50> Total: 101394 W: 26460 L: 26009 D: 48925 Ptnml(0-2): 74, 10871, 28367, 11300, 85 https://tests.stockfishchess.org/tests/view/6a46eff2f97ff95f7879573b fixes a potential overflow when rescaling network evals. nettest: vondele/nettest#403 closes https://github.com/official-stockfish/Stockfish/pull/6944 Bench: 2752030
106 lines
3.8 KiB
C++
106 lines
3.8 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2026 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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#include "evaluate.h"
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#include <algorithm>
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#include <cassert>
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#include <cmath>
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#include <cstdlib>
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#include <iomanip>
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#include <iostream>
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#include <memory>
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#include <sstream>
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#include "misc.h"
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#include "nnue/network.h"
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#include "nnue/nnue_misc.h"
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#include "position.h"
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#include "types.h"
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#include "uci.h"
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#include "nnue/nnue_accumulator.h"
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namespace Stockfish {
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// Evaluate is the evaluator for the outer world. It returns a static evaluation
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// of the position from the point of view of the side to move.
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Value Eval::evaluate(const Eval::NNUE::Network& network,
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const Position& pos,
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Eval::NNUE::AccumulatorStack& accumulators,
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Eval::NNUE::AccumulatorCaches& caches,
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int optimism) {
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assert(!pos.checkers());
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auto [psqt, positional] = network.evaluate(pos, accumulators, caches);
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Value nnue = psqt + positional;
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// Blend optimism and eval with nnue complexity
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int nnueComplexity = std::abs(psqt - positional);
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optimism += optimism * i64(nnueComplexity) / 476;
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nnue -= nnue * i64(nnueComplexity) / 18236;
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int material = 534 * pos.count<PAWN>() + pos.non_pawn_material();
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int v = (nnue * i64(77871 + material) + optimism * i64(7191 + material)) / 77871;
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// Damp down the evaluation linearly when shuffling
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v -= v * pos.rule50_count() / 199;
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// Guarantee evaluation does not hit the tablebase range
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v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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return v;
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}
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// Like evaluate(), but instead of returning a value, it returns
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// a string (suitable for outputting to stdout) that contains the detailed
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// descriptions and values of each evaluation term. Useful for debugging.
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// Trace scores are from white's point of view
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std::string Eval::trace(Position& pos, const Eval::NNUE::Network& network) {
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if (pos.checkers())
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return "Final evaluation: none (in check)";
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auto accumulators = std::make_unique<Eval::NNUE::AccumulatorStack>();
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auto caches = std::make_unique<Eval::NNUE::AccumulatorCaches>(network);
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std::stringstream ss;
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ss << std::showpoint << std::noshowpos << std::fixed << std::setprecision(2);
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ss << '\n' << NNUE::trace(pos, network, *caches) << '\n';
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ss << std::showpoint << std::showpos << std::fixed << std::setprecision(2) << std::setw(15);
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auto [psqt, positional] = network.evaluate(pos, *accumulators, *caches);
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Value v = psqt + positional;
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ss << "NNUE evaluation " << v << " (side to move, internal units)\n";
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v = pos.side_to_move() == WHITE ? v : -v;
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ss << "NNUE evaluation " << 0.01 * UCIEngine::to_cp(v, pos) << " (white side)\n";
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v = evaluate(network, pos, *accumulators, *caches, VALUE_ZERO);
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v = pos.side_to_move() == WHITE ? v : -v;
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ss << "Final evaluation ";
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ss << 0.01 * UCIEngine::to_cp(v, pos) << " (white side)";
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ss << " [with scaled NNUE, ...]\n";
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return ss.str();
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}
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} // namespace Stockfish
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