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Revert "Symmetric king safety"
Regression test of 40K games at 60 secs shows this commit to be a 2-3 ELO regression. So revert to original king safety. bench: 8732553
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495a0fa699
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5 changed files with 27 additions and 16 deletions
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@ -90,8 +90,8 @@ namespace {
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}
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// Evaluation weights, initialized from UCI options
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enum { Mobility, PawnStructure, PassedPawns, Space, KingSafety };
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struct Weight { int mg, eg; } Weights[5];
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enum { Mobility, PawnStructure, PassedPawns, Space, KingDangerUs, KingDangerThem };
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struct Weight { int mg, eg; } Weights[6];
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typedef Value V;
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#define S(mg, eg) make_score(mg, eg)
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@ -103,7 +103,7 @@ namespace {
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//
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// Values modified by Joona Kiiski
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const Score WeightsInternal[] = {
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S(289, 344), S(233, 201), S(221, 273), S(46, 0), S(289, 0)
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S(289, 344), S(233, 201), S(221, 273), S(46, 0), S(271, 0), S(307, 0)
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};
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// MobilityBonus[PieceType][attacked] contains bonuses for middle and end
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@ -202,9 +202,9 @@ namespace {
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const int BishopCheck = 2;
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const int KnightCheck = 3;
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// KingDanger[attackUnits] contains the actual king danger weighted
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// scores, indexed by a calculated integer number.
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Score KingDanger[128];
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// KingDanger[Color][attackUnits] contains the actual king danger weighted
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// scores, indexed by color and by a calculated integer number.
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Score KingDanger[COLOR_NB][128];
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// apply_weight() weighs score 'v' by weight 'w' trying to prevent overflow
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@ -501,7 +501,7 @@ namespace {
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// Finally, extract the king danger score from the KingDanger[]
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// array and subtract the score from evaluation.
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score -= KingDanger[attackUnits];
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score -= KingDanger[Us == Search::RootColor][attackUnits];
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}
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if (Trace)
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@ -902,7 +902,8 @@ namespace Eval {
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Weights[PawnStructure] = weight_option("Pawn Structure (Midgame)", "Pawn Structure (Endgame)", WeightsInternal[PawnStructure]);
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Weights[PassedPawns] = weight_option("Passed Pawns (Midgame)", "Passed Pawns (Endgame)", WeightsInternal[PassedPawns]);
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Weights[Space] = weight_option("Space", "Space", WeightsInternal[Space]);
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Weights[KingSafety] = weight_option("King Safety", "King Safety", WeightsInternal[KingSafety]);
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Weights[KingDangerUs] = weight_option("Cowardice", "Cowardice", WeightsInternal[KingDangerUs]);
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Weights[KingDangerThem] = weight_option("Aggressiveness", "Aggressiveness", WeightsInternal[KingDangerThem]);
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const double MaxSlope = 30;
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const double Peak = 1280;
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@ -910,7 +911,9 @@ namespace Eval {
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for (int t = 0, i = 1; i < 100; ++i)
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{
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t = int(std::min(Peak, std::min(0.4 * i * i, t + MaxSlope)));
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KingDanger[i] = apply_weight(make_score(t, 0), Weights[KingSafety]);
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KingDanger[1][i] = apply_weight(make_score(t, 0), Weights[KingDangerUs]);
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KingDanger[0][i] = apply_weight(make_score(t, 0), Weights[KingDangerThem]);
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}
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}
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@ -42,6 +42,7 @@ namespace Search {
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LimitsType Limits;
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std::vector<RootMove> RootMoves;
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Position RootPos;
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Color RootColor;
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Time::point SearchTime;
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StateStackPtr SetupStates;
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}
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@ -181,11 +182,12 @@ void Search::think() {
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static PolyglotBook book; // Defined static to initialize the PRNG only once
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TimeMgr.init(Limits, RootPos.game_ply(), RootPos.side_to_move());
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RootColor = RootPos.side_to_move();
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TimeMgr.init(Limits, RootPos.game_ply(), RootColor);
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int cf = Options["Contempt Factor"] * PawnValueEg / 100; // From centipawns
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DrawValue[ RootPos.side_to_move()] = VALUE_DRAW - Value(cf);
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DrawValue[~RootPos.side_to_move()] = VALUE_DRAW + Value(cf);
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DrawValue[ RootColor] = VALUE_DRAW - Value(cf);
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DrawValue[~RootColor] = VALUE_DRAW + Value(cf);
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if (RootMoves.empty())
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{
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@ -214,8 +216,8 @@ void Search::think() {
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log << "\nSearching: " << RootPos.fen()
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<< "\ninfinite: " << Limits.infinite
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<< " ponder: " << Limits.ponder
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<< " time: " << Limits.time[RootPos.side_to_move()]
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<< " increment: " << Limits.inc[RootPos.side_to_move()]
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<< " time: " << Limits.time[RootColor]
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<< " increment: " << Limits.inc[RootColor]
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<< " moves to go: " << Limits.movestogo
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<< "\n" << std::endl;
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}
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@ -101,6 +101,7 @@ extern volatile SignalsType Signals;
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extern LimitsType Limits;
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extern std::vector<RootMove> RootMoves;
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extern Position RootPos;
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extern Color RootColor;
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extern Time::point SearchTime;
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extern StateStackPtr SetupStates;
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@ -197,6 +197,11 @@ void UCI::loop(int argc, char* argv[]) {
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<< "\n" << Options
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<< "\nuciok" << sync_endl;
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else if (token == "eval")
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{
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Search::RootColor = pos.side_to_move(); // Ensure it is set
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sync_cout << Eval::trace(pos) << sync_endl;
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}
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else if (token == "ucinewgame") TT.clear();
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else if (token == "go") go(pos, is);
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else if (token == "position") position(pos, is);
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@ -204,7 +209,6 @@ void UCI::loop(int argc, char* argv[]) {
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else if (token == "flip") pos.flip();
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else if (token == "bench") benchmark(pos, is);
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else if (token == "d") sync_cout << pos.pretty() << sync_endl;
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else if (token == "eval") sync_cout << Eval::trace(pos) << sync_endl;
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else if (token == "isready") sync_cout << "readyok" << sync_endl;
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else
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sync_cout << "Unknown command: " << cmd << sync_endl;
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@ -67,7 +67,8 @@ void init(OptionsMap& o) {
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o["Passed Pawns (Midgame)"] << Option(100, 0, 200, on_eval);
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o["Passed Pawns (Endgame)"] << Option(100, 0, 200, on_eval);
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o["Space"] << Option(100, 0, 200, on_eval);
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o["King Safety"] << Option(100, 0, 200, on_eval);
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o["Aggressiveness"] << Option(100, 0, 200, on_eval);
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o["Cowardice"] << Option(100, 0, 200, on_eval);
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o["Min Split Depth"] << Option(0, 0, 12, on_threads);
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o["Threads"] << Option(1, 1, MAX_THREADS, on_threads);
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o["Hash"] << Option(32, 1, 16384, on_hash_size);
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