X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=8bb42ce170cff47cd945a4a212421676c84e15bd;hb=c25d4c4887dbc23395afef59e24a520c5d12ab52;hp=e9376aa670c6ebd46a7ee0a16ee79e5a661005c2;hpb=45f2416db4eaba8fbf023f84609d68a60e94b4ff;p=stockfish diff --git a/src/evaluate.cpp b/src/evaluate.cpp index e9376aa6..8bb42ce1 100644 --- a/src/evaluate.cpp +++ b/src/evaluate.cpp @@ -198,12 +198,12 @@ namespace { constexpr Value SpaceThreshold = Value(11551); // KingAttackWeights[PieceType] contains king attack weights by piece type - constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 81, 52, 44, 10 }; + constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 76, 46, 45, 14 }; // SafeCheck[PieceType][single/multiple] contains safe check bonus by piece type, // higher if multiple safe checks are possible for that piece type. constexpr int SafeCheck[][2] = { - {}, {}, {803, 1292}, {639, 974}, {1087, 1878}, {759, 1132} + {}, {}, {805, 1292}, {650, 984}, {1071, 1886}, {730, 1128} }; #define S(mg, eg) make_score(mg, eg) @@ -1088,7 +1088,8 @@ Value Eval::evaluate(const Position& pos) { // Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical, // but we switch to NNUE during long shuffling or with high material on the board. if ( !useNNUE - || abs(eg_value(pos.psq_score())) * 5 > (856 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count())) + || ((pos.this_thread()->depth > 9 || pos.count() > 7) && + abs(eg_value(pos.psq_score())) * 5 > (856 + pos.non_pawn_material() / 64) * (10 + pos.rule50_count()))) { v = Evaluation(pos).value(); // classical useClassical = abs(v) >= 297; @@ -1098,7 +1099,7 @@ Value Eval::evaluate(const Position& pos) { if (useNNUE && !useClassical) { Value nnue = NNUE::evaluate(pos, true); // NNUE - int scale = 1036 + 20 * pos.non_pawn_material() / 1024; + int scale = 1036 + 22 * pos.non_pawn_material() / 1024; Color stm = pos.side_to_move(); Value optimism = pos.this_thread()->optimism[stm]; Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score()); @@ -1112,7 +1113,7 @@ Value Eval::evaluate(const Position& pos) { } // Damp down the evaluation linearly when shuffling - v = v * (207 - pos.rule50_count()) / 207; + v = v * (195 - pos.rule50_count()) / 211; // Guarantee evaluation does not hit the tablebase range v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1); @@ -1138,6 +1139,7 @@ std::string Eval::trace(Position& pos) { std::memset(scores, 0, sizeof(scores)); // Reset any global variable used in eval + pos.this_thread()->depth = 0; pos.this_thread()->trend = SCORE_ZERO; pos.this_thread()->bestValue = VALUE_ZERO; pos.this_thread()->optimism[WHITE] = VALUE_ZERO;