X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=923564cbfe8b4ff41af8eda5b1aa1e4ceb8bfbed;hb=abef3e86f42fd4953d28cc7c3381601475d11346;hp=ab71fa67df0cc40161ad0fca2259eb3e82b76058;hpb=ad926d34c0105d523bfa5cb92cbcf9f337d54c08;p=stockfish diff --git a/src/evaluate.cpp b/src/evaluate.cpp index ab71fa67..923564cb 100644 --- a/src/evaluate.cpp +++ b/src/evaluate.cpp @@ -108,6 +108,7 @@ namespace Eval { MemoryBuffer buffer(const_cast(reinterpret_cast(gEmbeddedNNUEData)), size_t(gEmbeddedNNUESize)); + (void) gEmbeddedNNUEEnd; // Silence warning on unused variable istream stream(&buffer); if (load_eval(eval_file, stream)) @@ -192,8 +193,8 @@ using namespace Trace; namespace { // Threshold for lazy and space evaluation - constexpr Value LazyThreshold1 = Value(3130); - constexpr Value LazyThreshold2 = Value(2204); + constexpr Value LazyThreshold1 = Value(3631); + constexpr Value LazyThreshold2 = Value(2084); constexpr Value SpaceThreshold = Value(11551); // KingAttackWeights[PieceType] contains king attack weights by piece type @@ -1069,8 +1070,8 @@ make_v: && pos.piece_on(SQ_G7) == B_PAWN) correction += CorneredBishop; - return pos.side_to_move() == WHITE ? Value(5 * correction) - : -Value(5 * correction); + return pos.side_to_move() == WHITE ? Value(3 * correction) + : -Value(3 * correction); } } // namespace Eval @@ -1087,10 +1088,10 @@ 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 > (850 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count())) + || abs(eg_value(pos.psq_score())) * 5 > (849 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count())) { v = Evaluation(pos).value(); // classical - useClassical = abs(v) >= 300; + useClassical = abs(v) >= 298; } // If result of a classical evaluation is much lower than threshold fall back to NNUE @@ -1101,9 +1102,9 @@ Value Eval::evaluate(const Position& pos) { Color stm = pos.side_to_move(); Value optimism = pos.this_thread()->optimism[stm]; Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score()); - int complexity = abs(nnue - psq) / 256; + int complexity = 35 * abs(nnue - psq) / 256; - optimism *= (1 + complexity); + optimism = optimism * (44 + complexity) / 32; v = (nnue + optimism) * scale / 1024 - optimism; if (pos.is_chess960()) @@ -1111,7 +1112,7 @@ Value Eval::evaluate(const Position& pos) { } // Damp down the evaluation linearly when shuffling - v = v * (207 - pos.rule50_count()) / 207; + v = v * (208 - pos.rule50_count()) / 208; // 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);