X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=85700bcc60dc2b5d26251c9ebec4d8336a2c6cd9;hb=55eb0445ddbb6ec4a6868eacb986e022865e19a6;hp=8bb42ce170cff47cd945a4a212421676c84e15bd;hpb=c25d4c4887dbc23395afef59e24a520c5d12ab52;p=stockfish diff --git a/src/evaluate.cpp b/src/evaluate.cpp index 8bb42ce1..85700bcc 100644 --- a/src/evaluate.cpp +++ b/src/evaluate.cpp @@ -1042,74 +1042,38 @@ make_v: return v; } - - /// Fisher Random Chess: correction for cornered bishops, to fix chess960 play with NNUE - - Value fix_FRC(const Position& pos) { - - constexpr Bitboard Corners = 1ULL << SQ_A1 | 1ULL << SQ_H1 | 1ULL << SQ_A8 | 1ULL << SQ_H8; - - if (!(pos.pieces(BISHOP) & Corners)) - return VALUE_ZERO; - - int correction = 0; - - if ( pos.piece_on(SQ_A1) == W_BISHOP - && pos.piece_on(SQ_B2) == W_PAWN) - correction -= CorneredBishop; - - if ( pos.piece_on(SQ_H1) == W_BISHOP - && pos.piece_on(SQ_G2) == W_PAWN) - correction -= CorneredBishop; - - if ( pos.piece_on(SQ_A8) == B_BISHOP - && pos.piece_on(SQ_B7) == B_PAWN) - correction += CorneredBishop; - - if ( pos.piece_on(SQ_H8) == B_BISHOP - && pos.piece_on(SQ_G7) == B_PAWN) - correction += CorneredBishop; - - return pos.side_to_move() == WHITE ? Value(3 * correction) - : -Value(3 * correction); - } - } // namespace Eval /// evaluate() is the evaluator for the outer world. It returns a static /// evaluation of the position from the point of view of the side to move. -Value Eval::evaluate(const Position& pos) { +Value Eval::evaluate(const Position& pos, int* complexity) { Value v; - bool useClassical = false; - - // 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 - || ((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()))) + Color stm = pos.side_to_move(); + Value psq = pos.psq_eg_stm(); + + // We use the much less accurate but faster Classical eval when the NNUE + // option is set to false. Otherwise we use the NNUE eval unless the + // PSQ advantage is decisive and several pieces remain (~3 Elo) + bool useClassical = !useNNUE || (pos.count() > 7 && abs(psq) > 1760); + if (useClassical) + v = Evaluation(pos).value(); + else { - v = Evaluation(pos).value(); // classical - useClassical = abs(v) >= 297; - } - - // If result of a classical evaluation is much lower than threshold fall back to NNUE - if (useNNUE && !useClassical) - { - Value nnue = NNUE::evaluate(pos, true); // NNUE - 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()); - int complexity = 35 * abs(nnue - psq) / 256; - - optimism = optimism * (44 + complexity) / 31; - v = (nnue + optimism) * scale / 1024 - optimism; - - if (pos.is_chess960()) - v += fix_FRC(pos); + int nnueComplexity; + int scale = 1064 + 106 * pos.non_pawn_material() / 5120; + Value optimism = pos.this_thread()->optimism[stm]; + + Value nnue = NNUE::evaluate(pos, true, &nnueComplexity); + // Blend nnue complexity with (semi)classical complexity + nnueComplexity = (104 * nnueComplexity + 131 * abs(nnue - psq)) / 256; + if (complexity) // Return hybrid NNUE complexity to caller + *complexity = nnueComplexity; + + optimism = optimism * (269 + nnueComplexity) / 256; + v = (nnue * scale + optimism * (scale - 754)) / 1024; } // Damp down the evaluation linearly when shuffling @@ -1118,6 +1082,10 @@ Value Eval::evaluate(const Position& pos) { // 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); + // When not using NNUE, return classical complexity to caller + if (complexity && (!useNNUE || useClassical)) + *complexity = abs(v - psq); + return v; } @@ -1139,7 +1107,6 @@ 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;