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This patch ports the efficiently updatable neural network (NNUE) evaluation to Stockfish. Both the NNUE and the classical evaluations are available, and can be used to assign a value to a position that is later used in alpha-beta (PVS) search to find the best move. The classical evaluation computes this value as a function of various chess concepts, handcrafted by experts, tested and tuned using fishtest. The NNUE evaluation computes this value with a neural network based on basic inputs. The network is optimized and trained on the evalutions of millions of positions at moderate search depth. The NNUE evaluation was first introduced in shogi, and ported to Stockfish afterward. It can be evaluated efficiently on CPUs, and exploits the fact that only parts of the neural network need to be updated after a typical chess move. [The nodchip repository](https://github.com/nodchip/Stockfish) provides additional tools to train and develop the NNUE networks. This patch is the result of contributions of various authors, from various communities, including: nodchip, ynasu87, yaneurao (initial port and NNUE authors), domschl, FireFather, rqs, xXH4CKST3RXx, tttak, zz4032, joergoster, mstembera, nguyenpham, erbsenzaehler, dorzechowski, and vondele. This new evaluation needed various changes to fishtest and the corresponding infrastructure, for which tomtor, ppigazzini, noobpwnftw, daylen, and vondele are gratefully acknowledged. The first networks have been provided by gekkehenker and sergiovieri, with the latter net (nn-97f742aaefcd.nnue) being the current default. The evaluation function can be selected at run time with the `Use NNUE` (true/false) UCI option, provided the `EvalFile` option points the the network file (depending on the GUI, with full path). The performance of the NNUE evaluation relative to the classical evaluation depends somewhat on the hardware, and is expected to improve quickly, but is currently on > 80 Elo on fishtest: 60000 @ 10+0.1 th 1 https://tests.stockfishchess.org/tests/view/5f28fe6ea5abc164f05e4c4c ELO: 92.77 +-2.1 (95%) LOS: 100.0% Total: 60000 W: 24193 L: 8543 D: 27264 Ptnml(0-2): 609, 3850, 9708, 10948, 4885 40000 @ 20+0.2 th 8 https://tests.stockfishchess.org/tests/view/5f290229a5abc164f05e4c58 ELO: 89.47 +-2.0 (95%) LOS: 100.0% Total: 40000 W: 12756 L: 2677 D: 24567 Ptnml(0-2): 74, 1583, 8550, 7776, 2017 At the same time, the impact on the classical evaluation remains minimal, causing no significant regression: sprt @ 10+0.1 th 1 https://tests.stockfishchess.org/tests/view/5f2906a2a5abc164f05e4c5b LLR: 2.94 (-2.94,2.94) {-6.00,-4.00} Total: 34936 W: 6502 L: 6825 D: 21609 Ptnml(0-2): 571, 4082, 8434, 3861, 520 sprt @ 60+0.6 th 1 https://tests.stockfishchess.org/tests/view/5f2906cfa5abc164f05e4c5d LLR: 2.93 (-2.94,2.94) {-6.00,-4.00} Total: 10088 W: 1232 L: 1265 D: 7591 Ptnml(0-2): 49, 914, 3170, 843, 68 The needed networks can be found at https://tests.stockfishchess.org/nns It is recommended to use the default one as indicated by the `EvalFile` UCI option. Guidelines for testing new nets can be found at https://github.com/glinscott/fishtest/wiki/Creating-my-first-test#nnue-net-tests Integration has been discussed in various issues: https://github.com/official-stockfish/Stockfish/issues/2823 https://github.com/official-stockfish/Stockfish/issues/2728 The integration branch will be closed after the merge: https://github.com/official-stockfish/Stockfish/pull/2825 https://github.com/official-stockfish/Stockfish/tree/nnue-player-wip closes https://github.com/official-stockfish/Stockfish/pull/2912 This will be an exciting time for computer chess, looking forward to seeing the evolution of this approach. Bench: 4746616
192 lines
6.2 KiB
C++
192 lines
6.2 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2020 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 <algorithm>
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#include <cassert>
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#include <ostream>
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#include <sstream>
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#include "misc.h"
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#include "search.h"
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#include "thread.h"
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#include "tt.h"
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#include "uci.h"
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#include "syzygy/tbprobe.h"
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using std::string;
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UCI::OptionsMap Options; // Global object
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namespace UCI {
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/// 'On change' actions, triggered by an option's value change
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void on_clear_hash(const Option&) { Search::clear(); }
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void on_hash_size(const Option& o) { TT.resize(size_t(o)); }
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void on_logger(const Option& o) { start_logger(o); }
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void on_threads(const Option& o) { Threads.set(size_t(o)); }
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void on_tb_path(const Option& o) { Tablebases::init(o); }
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void on_use_NNUE(const Option& ) { Eval::init_NNUE(); }
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void on_eval_file(const Option& ) { Eval::init_NNUE(); }
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/// Our case insensitive less() function as required by UCI protocol
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bool CaseInsensitiveLess::operator() (const string& s1, const string& s2) const {
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return std::lexicographical_compare(s1.begin(), s1.end(), s2.begin(), s2.end(),
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[](char c1, char c2) { return tolower(c1) < tolower(c2); });
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}
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/// UCI::init() initializes the UCI options to their hard-coded default values
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void init(OptionsMap& o) {
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constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
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o["Debug Log File"] << Option("", on_logger);
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o["Contempt"] << Option(24, -100, 100);
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o["Analysis Contempt"] << Option("Both var Off var White var Black var Both", "Both");
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o["Threads"] << Option(1, 1, 512, on_threads);
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o["Hash"] << Option(16, 1, MaxHashMB, on_hash_size);
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o["Clear Hash"] << Option(on_clear_hash);
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o["Ponder"] << Option(false);
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o["MultiPV"] << Option(1, 1, 500);
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o["Skill Level"] << Option(20, 0, 20);
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o["Move Overhead"] << Option(10, 0, 5000);
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o["Slow Mover"] << Option(100, 10, 1000);
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o["nodestime"] << Option(0, 0, 10000);
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o["UCI_Chess960"] << Option(false);
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o["UCI_AnalyseMode"] << Option(false);
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o["UCI_LimitStrength"] << Option(false);
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o["UCI_Elo"] << Option(1350, 1350, 2850);
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o["UCI_ShowWDL"] << Option(false);
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o["SyzygyPath"] << Option("<empty>", on_tb_path);
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o["SyzygyProbeDepth"] << Option(1, 1, 100);
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o["Syzygy50MoveRule"] << Option(true);
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o["SyzygyProbeLimit"] << Option(7, 0, 7);
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o["Use NNUE"] << Option(false, on_use_NNUE);
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o["EvalFile"] << Option("nn-97f742aaefcd.nnue", on_eval_file);
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}
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/// operator<<() is used to print all the options default values in chronological
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/// insertion order (the idx field) and in the format defined by the UCI protocol.
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std::ostream& operator<<(std::ostream& os, const OptionsMap& om) {
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for (size_t idx = 0; idx < om.size(); ++idx)
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for (const auto& it : om)
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if (it.second.idx == idx)
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{
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const Option& o = it.second;
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os << "\noption name " << it.first << " type " << o.type;
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if (o.type == "string" || o.type == "check" || o.type == "combo")
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os << " default " << o.defaultValue;
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if (o.type == "spin")
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os << " default " << int(stof(o.defaultValue))
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<< " min " << o.min
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<< " max " << o.max;
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break;
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}
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return os;
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}
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/// Option class constructors and conversion operators
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Option::Option(const char* v, OnChange f) : type("string"), min(0), max(0), on_change(f)
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{ defaultValue = currentValue = v; }
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Option::Option(bool v, OnChange f) : type("check"), min(0), max(0), on_change(f)
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{ defaultValue = currentValue = (v ? "true" : "false"); }
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Option::Option(OnChange f) : type("button"), min(0), max(0), on_change(f)
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{}
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Option::Option(double v, int minv, int maxv, OnChange f) : type("spin"), min(minv), max(maxv), on_change(f)
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{ defaultValue = currentValue = std::to_string(v); }
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Option::Option(const char* v, const char* cur, OnChange f) : type("combo"), min(0), max(0), on_change(f)
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{ defaultValue = v; currentValue = cur; }
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Option::operator double() const {
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assert(type == "check" || type == "spin");
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return (type == "spin" ? stof(currentValue) : currentValue == "true");
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}
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Option::operator std::string() const {
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assert(type == "string");
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return currentValue;
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}
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bool Option::operator==(const char* s) const {
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assert(type == "combo");
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return !CaseInsensitiveLess()(currentValue, s)
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&& !CaseInsensitiveLess()(s, currentValue);
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}
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/// operator<<() inits options and assigns idx in the correct printing order
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void Option::operator<<(const Option& o) {
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static size_t insert_order = 0;
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*this = o;
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idx = insert_order++;
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}
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/// operator=() updates currentValue and triggers on_change() action. It's up to
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/// the GUI to check for option's limits, but we could receive the new value
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/// from the user by console window, so let's check the bounds anyway.
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Option& Option::operator=(const string& v) {
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assert(!type.empty());
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if ( (type != "button" && v.empty())
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|| (type == "check" && v != "true" && v != "false")
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|| (type == "spin" && (stof(v) < min || stof(v) > max)))
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return *this;
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if (type == "combo")
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{
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OptionsMap comboMap; // To have case insensitive compare
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string token;
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std::istringstream ss(defaultValue);
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while (ss >> token)
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comboMap[token] << Option();
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if (!comboMap.count(v) || v == "var")
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return *this;
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}
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if (type != "button")
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currentValue = v;
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if (on_change)
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on_change(*this);
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return *this;
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}
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} // namespace UCI
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