X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=536137948575c8c4c34b2a103bc453ada91defb6;hb=85f8ee6199f8578fbc082fc0f37e1985813e637a;hp=e9376aa670c6ebd46a7ee0a16ee79e5a661005c2;hpb=45f2416db4eaba8fbf023f84609d68a60e94b4ff;p=stockfish

diff --git a/src/evaluate.cpp b/src/evaluate.cpp
index e9376aa6..53613794 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)
@@ -1080,43 +1080,54 @@ make_v:
 /// 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;
+  Color stm = pos.side_to_move();
+  Value psq = pos.psq_eg_stm();
+  // 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.
+  bool useClassical =    (pos.this_thread()->depth > 9 || pos.count<ALL_PIECES>() > 7)
+                      && abs(psq) * 5 > (856 + pos.non_pawn_material() / 64) * (10 + pos.rule50_count());
 
   // 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()))
+  if (!useNNUE || useClassical)
   {
-      v = Evaluation<NO_TRACE>(pos).value();          // classical
+      v = Evaluation<NO_TRACE>(pos).value();
       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 + 20 * pos.non_pawn_material() / 1024;
-       Color stm      = pos.side_to_move();
+       int nnueComplexity;
+       int scale = 1064 + 106 * pos.non_pawn_material() / 5120;
        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;
+       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;
 
        if (pos.is_chess960())
            v += fix_FRC(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);
 
+  // When not using NNUE, return classical complexity to caller
+  if (complexity && (!useNNUE || useClassical))
+       *complexity = abs(v - psq);
+
   return v;
 }
 
@@ -1138,6 +1149,7 @@ 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;