X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fevaluate.cpp;h=64f9172574a4d7fda710a4ffde587e9ea4fc065d;hb=dabaf2220fe0c77400a5f71a91952f510e6a126b;hp=fe1366147f6afa4226a531439a55944760ad8b85;hpb=2e745956c0478627c4822104fc48a079c2f15e77;p=stockfish

diff --git a/src/evaluate.cpp b/src/evaluate.cpp
index fe136614..64f91725 100644
--- a/src/evaluate.cpp
+++ b/src/evaluate.cpp
@@ -190,10 +190,9 @@ using namespace Trace;
 namespace {
 
   // Threshold for lazy and space evaluation
-  constexpr Value LazyThreshold1    =  Value(1565);
-  constexpr Value LazyThreshold2    =  Value(1102);
-  constexpr Value SpaceThreshold    = Value(11551);
-  constexpr Value NNUEThreshold1    =   Value(800);
+  constexpr Value LazyThreshold1    =  Value(3130);
+  constexpr Value LazyThreshold2    =  Value(2204);
+  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 };
@@ -979,7 +978,7 @@ namespace {
     // Initialize score by reading the incrementally updated scores included in
     // the position object (material + piece square tables) and the material
     // imbalance. Score is computed internally from the white point of view.
-    Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->contempt;
+    Score score = pos.psq_score() + me->imbalance() + pos.this_thread()->trend;
 
     // Probe the pawn hash table
     pe = Pawns::probe(pos);
@@ -987,7 +986,7 @@ namespace {
 
     // Early exit if score is high
     auto lazy_skip = [&](Value lazyThreshold) {
-        return abs(mg_value(score) + eg_value(score)) / 2 > lazyThreshold + pos.non_pawn_material() / 64;
+        return abs(mg_value(score) + eg_value(score)) > lazyThreshold + pos.non_pawn_material() / 32;
     };
 
     if (lazy_skip(LazyThreshold1))
@@ -1091,8 +1090,9 @@ Value Eval::evaluate(const Position& pos) {
       // Scale and shift NNUE for compatibility with search and classical evaluation
       auto  adjusted_NNUE = [&]()
       {
-
-         int scale = 903 + 28 * pos.count<PAWN>() + 28 * pos.non_pawn_material() / 1024;
+         int scale =   883
+                     + 32 * pos.count<PAWN>()
+                     + 32 * pos.non_pawn_material() / 1024;
 
          Value nnue = NNUE::evaluate(pos, true) * scale / 1024;
 
@@ -1102,14 +1102,14 @@ Value Eval::evaluate(const Position& pos) {
          return nnue;
       };
 
-      // If there is PSQ imbalance we use the classical eval.
+      // If there is PSQ imbalance we use the classical eval, but we switch to
+      // NNUE eval faster when shuffling or if the material on the board is high.
+      int r50 = pos.rule50_count();
       Value psq = Value(abs(eg_value(pos.psq_score())));
-      int   r50 = 16 + pos.rule50_count();
-      bool  largePsq = psq * 16 > (NNUEThreshold1 + pos.non_pawn_material() / 64) * r50;
-
-      v = largePsq ? Evaluation<NO_TRACE>(pos).value()  // classical
-                   : adjusted_NNUE();                   // NNUE
+      bool classical = psq * 5 > (850 + pos.non_pawn_material() / 64) * (5 + r50);
 
+      v = classical ? Evaluation<NO_TRACE>(pos).value()  // classical
+                    : adjusted_NNUE();                   // NNUE
   }
 
   // Damp down the evaluation linearly when shuffling
@@ -1138,7 +1138,7 @@ std::string Eval::trace(Position& pos) {
 
   std::memset(scores, 0, sizeof(scores));
 
-  pos.this_thread()->contempt = SCORE_ZERO; // Reset any dynamic contempt
+  pos.this_thread()->trend = SCORE_ZERO; // Reset any dynamic contempt
 
   v = Evaluation<TRACE>(pos).value();