Files
Stockfish/src/uci.cpp
Disservin a107910951 Refactor global variables
This aims to remove some of the annoying global structure which Stockfish has.

Overall there is no major elo regression to be expected.

Non regression SMP STC (paused, early version):
https://tests.stockfishchess.org/tests/view/65983d7979aa8af82b9608f1
LLR: 0.23 (-2.94,2.94) <-1.75,0.25>
Total: 76232 W: 19035 L: 19096 D: 38101
Ptnml(0-2): 92, 8735, 20515, 8690, 84

Non regression STC (early version):
https://tests.stockfishchess.org/tests/view/6595b3a479aa8af82b95da7f
LLR: 2.93 (-2.94,2.94) <-1.75,0.25>
Total: 185344 W: 47027 L: 46972 D: 91345
Ptnml(0-2): 571, 21285, 48943, 21264, 609

Non regression SMP STC:
https://tests.stockfishchess.org/tests/view/65a0715c79aa8af82b96b7e4
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 142936 W: 35761 L: 35662 D: 71513
Ptnml(0-2): 209, 16400, 38135, 16531, 193

These global structures/variables add hidden dependencies and allow data
to be mutable from where it shouldn't it be (i.e. options). They also
prevent Stockfish from internal selfplay, which would be a nice thing to
be able to do, i.e. instantiate two Stockfish instances and let them
play against each other. It will also allow us to make Stockfish a
library, which can be easier used on other platforms.

For consistency with the old search code, `thisThread` has been kept,
even though it is not strictly necessary anymore. This the first major
refactor of this kind (in recent time), and future changes are required,
to achieve the previously described goals. This includes cleaning up the
dependencies, transforming the network to be self contained and coming
up with a plan to deal with proper tablebase memory management (see
comments for more information on this).

The removal of these global structures has been discussed in parts with
Vondele and Sopel.

closes https://github.com/official-stockfish/Stockfish/pull/4968

No functional change
2024-01-13 19:40:53 +01:00

470 lines
16 KiB
C++

/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
Copyright (C) 2004-2024 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
Stockfish is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
#include "uci.h"
#include <algorithm>
#include <cassert>
#include <cctype>
#include <cmath>
#include <cstdlib>
#include <deque>
#include <memory>
#include <optional>
#include <sstream>
#include <vector>
#include "benchmark.h"
#include "evaluate.h"
#include "movegen.h"
#include "nnue/evaluate_nnue.h"
#include "nnue/nnue_architecture.h"
#include "position.h"
#include "search.h"
#include "syzygy/tbprobe.h"
#include "types.h"
#include "ucioption.h"
namespace Stockfish {
constexpr auto StartFEN = "rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1";
constexpr int NormalizeToPawnValue = 328;
constexpr int MaxHashMB = Is64Bit ? 33554432 : 2048;
UCI::UCI(int argc, char** argv) :
cli(argc, argv) {
evalFiles = {{Eval::NNUE::Big, {"EvalFile", EvalFileDefaultNameBig, "None", ""}},
{Eval::NNUE::Small, {"EvalFileSmall", EvalFileDefaultNameSmall, "None", ""}}};
options["Debug Log File"] << Option("", [](const Option& o) { start_logger(o); });
options["Threads"] << Option(1, 1, 1024, [this](const Option&) {
threads.set({options, threads, tt});
});
options["Hash"] << Option(16, 1, MaxHashMB, [this](const Option& o) {
threads.main_thread()->wait_for_search_finished();
tt.resize(o, options["Threads"]);
});
options["Clear Hash"] << Option(true, [this](const Option&) { search_clear(); });
options["Ponder"] << Option(false);
options["MultiPV"] << Option(1, 1, 500);
options["Skill Level"] << Option(20, 0, 20);
options["Move Overhead"] << Option(10, 0, 5000);
options["nodestime"] << Option(0, 0, 10000);
options["UCI_Chess960"] << Option(false);
options["UCI_LimitStrength"] << Option(false);
options["UCI_Elo"] << Option(1320, 1320, 3190);
options["UCI_ShowWDL"] << Option(false);
options["SyzygyPath"] << Option("<empty>", [](const Option& o) { Tablebases::init(o); });
options["SyzygyProbeDepth"] << Option(1, 1, 100);
options["Syzygy50MoveRule"] << Option(true);
options["SyzygyProbeLimit"] << Option(7, 0, 7);
options["EvalFile"] << Option(EvalFileDefaultNameBig, [this](const Option&) {
evalFiles = Eval::NNUE::load_networks(cli.binaryDirectory, options, evalFiles);
});
threads.set({options, threads, tt});
search_clear(); // After threads are up
}
void UCI::loop() {
Position pos;
std::string token, cmd;
StateListPtr states(new std::deque<StateInfo>(1));
pos.set(StartFEN, false, &states->back());
for (int i = 1; i < cli.argc; ++i)
cmd += std::string(cli.argv[i]) + " ";
do
{
if (cli.argc == 1
&& !getline(std::cin, cmd)) // Wait for an input or an end-of-file (EOF) indication
cmd = "quit";
std::istringstream is(cmd);
token.clear(); // Avoid a stale if getline() returns nothing or a blank line
is >> std::skipws >> token;
if (token == "quit" || token == "stop")
threads.stop = true;
// The GUI sends 'ponderhit' to tell that the user has played the expected move.
// So, 'ponderhit' is sent if pondering was done on the same move that the user
// has played. The search should continue, but should also switch from pondering
// to the normal search.
else if (token == "ponderhit")
threads.main_manager()->ponder = false; // Switch to the normal search
else if (token == "uci")
sync_cout << "id name " << engine_info(true) << "\n"
<< options << "\nuciok" << sync_endl;
else if (token == "setoption")
setoption(is);
else if (token == "go")
go(pos, is, states);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
search_clear();
else if (token == "isready")
sync_cout << "readyok" << sync_endl;
// Add custom non-UCI commands, mainly for debugging purposes.
// These commands must not be used during a search!
else if (token == "flip")
pos.flip();
else if (token == "bench")
bench(pos, is, states);
else if (token == "d")
sync_cout << pos << sync_endl;
else if (token == "eval")
trace_eval(pos);
else if (token == "compiler")
sync_cout << compiler_info() << sync_endl;
else if (token == "export_net")
{
std::optional<std::string> filename;
std::string f;
if (is >> std::skipws >> f)
filename = f;
Eval::NNUE::save_eval(filename, Eval::NNUE::Big, evalFiles);
}
else if (token == "--help" || token == "help" || token == "--license" || token == "license")
sync_cout
<< "\nStockfish is a powerful chess engine for playing and analyzing."
"\nIt is released as free software licensed under the GNU GPLv3 License."
"\nStockfish is normally used with a graphical user interface (GUI) and implements"
"\nthe Universal Chess Interface (UCI) protocol to communicate with a GUI, an API, etc."
"\nFor any further information, visit https://github.com/official-stockfish/Stockfish#readme"
"\nor read the corresponding README.md and Copying.txt files distributed along with this program.\n"
<< sync_endl;
else if (!token.empty() && token[0] != '#')
sync_cout << "Unknown command: '" << cmd << "'. Type help for more information."
<< sync_endl;
} while (token != "quit" && cli.argc == 1); // The command-line arguments are one-shot
}
void UCI::go(Position& pos, std::istringstream& is, StateListPtr& states) {
Search::LimitsType limits;
std::string token;
bool ponderMode = false;
limits.startTime = now(); // The search starts as early as possible
while (is >> token)
if (token == "searchmoves") // Needs to be the last command on the line
while (is >> token)
limits.searchmoves.push_back(to_move(pos, token));
else if (token == "wtime")
is >> limits.time[WHITE];
else if (token == "btime")
is >> limits.time[BLACK];
else if (token == "winc")
is >> limits.inc[WHITE];
else if (token == "binc")
is >> limits.inc[BLACK];
else if (token == "movestogo")
is >> limits.movestogo;
else if (token == "depth")
is >> limits.depth;
else if (token == "nodes")
is >> limits.nodes;
else if (token == "movetime")
is >> limits.movetime;
else if (token == "mate")
is >> limits.mate;
else if (token == "perft")
is >> limits.perft;
else if (token == "infinite")
limits.infinite = 1;
else if (token == "ponder")
ponderMode = true;
Eval::NNUE::verify(options, evalFiles);
threads.start_thinking(options, pos, states, limits, ponderMode);
}
void UCI::bench(Position& pos, std::istream& args, StateListPtr& states) {
std::string token;
uint64_t num, nodes = 0, cnt = 1;
std::vector<std::string> list = setup_bench(pos, args);
num = count_if(list.begin(), list.end(),
[](const std::string& s) { return s.find("go ") == 0 || s.find("eval") == 0; });
TimePoint elapsed = now();
for (const auto& cmd : list)
{
std::istringstream is(cmd);
is >> std::skipws >> token;
if (token == "go" || token == "eval")
{
std::cerr << "\nPosition: " << cnt++ << '/' << num << " (" << pos.fen() << ")"
<< std::endl;
if (token == "go")
{
go(pos, is, states);
threads.main_thread()->wait_for_search_finished();
nodes += threads.nodes_searched();
}
else
trace_eval(pos);
}
else if (token == "setoption")
setoption(is);
else if (token == "position")
position(pos, is, states);
else if (token == "ucinewgame")
{
search_clear(); // Search::clear() may take a while
elapsed = now();
}
}
elapsed = now() - elapsed + 1; // Ensure positivity to avoid a 'divide by zero'
dbg_print();
std::cerr << "\n==========================="
<< "\nTotal time (ms) : " << elapsed << "\nNodes searched : " << nodes
<< "\nNodes/second : " << 1000 * nodes / elapsed << std::endl;
}
void UCI::trace_eval(Position& pos) {
StateListPtr states(new std::deque<StateInfo>(1));
Position p;
p.set(pos.fen(), options["UCI_Chess960"], &states->back());
Eval::NNUE::verify(options, evalFiles);
sync_cout << "\n" << Eval::trace(p, *threads.main_thread()->worker.get()) << sync_endl;
}
void UCI::search_clear() {
threads.main_thread()->wait_for_search_finished();
tt.clear(options["Threads"]);
threads.clear();
Tablebases::init(options["SyzygyPath"]); // Free mapped files
}
void UCI::setoption(std::istringstream& is) {
threads.main_thread()->wait_for_search_finished();
options.setoption(is);
}
void UCI::position(Position& pos, std::istringstream& is, StateListPtr& states) {
Move m;
std::string token, fen;
is >> token;
if (token == "startpos")
{
fen = StartFEN;
is >> token; // Consume the "moves" token, if any
}
else if (token == "fen")
while (is >> token && token != "moves")
fen += token + " ";
else
return;
states = StateListPtr(new std::deque<StateInfo>(1)); // Drop the old state and create a new one
pos.set(fen, options["UCI_Chess960"], &states->back());
// Parse the move list, if any
while (is >> token && (m = to_move(pos, token)) != Move::none())
{
states->emplace_back();
pos.do_move(m, states->back());
}
}
int UCI::to_cp(Value v) { return 100 * v / NormalizeToPawnValue; }
std::string UCI::value(Value v) {
assert(-VALUE_INFINITE < v && v < VALUE_INFINITE);
std::stringstream ss;
if (std::abs(v) < VALUE_TB_WIN_IN_MAX_PLY)
ss << "cp " << to_cp(v);
else if (std::abs(v) <= VALUE_TB)
{
const int ply = VALUE_TB - std::abs(v); // recompute ss->ply
ss << "cp " << (v > 0 ? 20000 - ply : -20000 + ply);
}
else
ss << "mate " << (v > 0 ? VALUE_MATE - v + 1 : -VALUE_MATE - v) / 2;
return ss.str();
}
std::string UCI::square(Square s) {
return std::string{char('a' + file_of(s)), char('1' + rank_of(s))};
}
std::string UCI::move(Move m, bool chess960) {
if (m == Move::none())
return "(none)";
if (m == Move::null())
return "0000";
Square from = m.from_sq();
Square to = m.to_sq();
if (m.type_of() == CASTLING && !chess960)
to = make_square(to > from ? FILE_G : FILE_C, rank_of(from));
std::string move = square(from) + square(to);
if (m.type_of() == PROMOTION)
move += " pnbrqk"[m.promotion_type()];
return move;
}
std::string UCI::pv(const Search::Worker& workerThread,
TimePoint elapsed,
uint64_t nodesSearched,
uint64_t tb_hits,
int hashfull,
bool rootInTB) {
std::stringstream ss;
TimePoint time = elapsed + 1;
const auto& rootMoves = workerThread.rootMoves;
const auto& depth = workerThread.completedDepth;
const auto& pos = workerThread.rootPos;
size_t pvIdx = workerThread.pvIdx;
size_t multiPV = std::min(size_t(workerThread.options["MultiPV"]), rootMoves.size());
uint64_t tbHits = tb_hits + (rootInTB ? rootMoves.size() : 0);
for (size_t i = 0; i < multiPV; ++i)
{
bool updated = rootMoves[i].score != -VALUE_INFINITE;
if (depth == 1 && !updated && i > 0)
continue;
Depth d = updated ? depth : std::max(1, depth - 1);
Value v = updated ? rootMoves[i].uciScore : rootMoves[i].previousScore;
if (v == -VALUE_INFINITE)
v = VALUE_ZERO;
bool tb = rootInTB && std::abs(v) <= VALUE_TB;
v = tb ? rootMoves[i].tbScore : v;
if (ss.rdbuf()->in_avail()) // Not at first line
ss << "\n";
ss << "info"
<< " depth " << d << " seldepth " << rootMoves[i].selDepth << " multipv " << i + 1
<< " score " << value(v);
if (workerThread.options["UCI_ShowWDL"])
ss << wdl(v, pos.game_ply());
if (i == pvIdx && !tb && updated) // tablebase- and previous-scores are exact
ss << (rootMoves[i].scoreLowerbound
? " lowerbound"
: (rootMoves[i].scoreUpperbound ? " upperbound" : ""));
ss << " nodes " << nodesSearched << " nps " << nodesSearched * 1000 / time << " hashfull "
<< hashfull << " tbhits " << tbHits << " time " << time << " pv";
for (Move m : rootMoves[i].pv)
ss << " " << move(m, pos.is_chess960());
}
return ss.str();
}
namespace {
// The win rate model returns the probability of winning (in per mille units) given an
// eval and a game ply. It fits the LTC fishtest statistics rather accurately.
int win_rate_model(Value v, int ply) {
// The model only captures up to 240 plies, so limit the input and then rescale
double m = std::min(240, ply) / 64.0;
// The coefficients of a third-order polynomial fit is based on the fishtest data
// for two parameters that need to transform eval to the argument of a logistic
// function.
constexpr double as[] = {0.38036525, -2.82015070, 23.17882135, 307.36768407};
constexpr double bs[] = {-2.29434733, 13.27689788, -14.26828904, 63.45318330};
// Enforce that NormalizeToPawnValue corresponds to a 50% win rate at ply 64
static_assert(NormalizeToPawnValue == int(as[0] + as[1] + as[2] + as[3]));
double a = (((as[0] * m + as[1]) * m + as[2]) * m) + as[3];
double b = (((bs[0] * m + bs[1]) * m + bs[2]) * m) + bs[3];
// Transform the eval to centipawns with limited range
double x = std::clamp(double(v), -4000.0, 4000.0);
// Return the win rate in per mille units, rounded to the nearest integer
return int(0.5 + 1000 / (1 + std::exp((a - x) / b)));
}
}
std::string UCI::wdl(Value v, int ply) {
std::stringstream ss;
int wdl_w = win_rate_model(v, ply);
int wdl_l = win_rate_model(-v, ply);
int wdl_d = 1000 - wdl_w - wdl_l;
ss << " wdl " << wdl_w << " " << wdl_d << " " << wdl_l;
return ss.str();
}
Move UCI::to_move(const Position& pos, std::string& str) {
if (str.length() == 5)
str[4] = char(tolower(str[4])); // The promotion piece character must be lowercased
for (const auto& m : MoveList<LEGAL>(pos))
if (str == move(m, pos.is_chess960()))
return m;
return Move::none();
}
} // namespace Stockfish