X-Git-Url: https://git.sesse.net/?p=stockfish;a=blobdiff_plain;f=src%2Fevaluate.cpp;h=c84d894f9c86616787e6f2a86c327035d115e407;hp=a642357e3c4904ea0ff5f6160325cd51d52b8b59;hb=15abcaedc1e32d4de913a2f7dea12578912371b7;hpb=320fa1b2f082a7db67363e468e7e241d7cedcc64

diff --git a/src/evaluate.cpp b/src/evaluate.cpp
index a642357e..c84d894f 100644
--- a/src/evaluate.cpp
+++ b/src/evaluate.cpp
@@ -53,10 +53,11 @@ namespace Eval {
         UCI::OptionsMap defaults;
         UCI::init(defaults);
 
-        std::cerr << "NNUE evaluation used, but the network file " << eval_file << " was not loaded successfully. "
-                  << "These network evaluation parameters must be available, and compatible with this version of the code. "
-                  << "The UCI option EvalFile might need to specify the full path, including the directory/folder name, to the file. "
-                  << "The default net can be downloaded from: https://tests.stockfishchess.org/api/nn/"+std::string(defaults["EvalFile"]) << std::endl;
+        sync_cout << "info string ERROR: NNUE evaluation used, but the network file " << eval_file << " was not loaded successfully." << sync_endl;
+        sync_cout << "info string ERROR: The UCI option EvalFile might need to specify the full path, including the directory/folder name, to the file." << sync_endl;
+        sync_cout << "info string ERROR: The default net can be downloaded from: https://tests.stockfishchess.org/api/nn/"+std::string(defaults["EvalFile"]) << sync_endl;
+        sync_cout << "info string ERROR: If the UCI option Use NNUE is set to true, network evaluation parameters compatible with the program must be available." << sync_endl;
+        sync_cout << "info string ERROR: The engine will be terminated now." << sync_endl;
         std::exit(EXIT_FAILURE);
     }
 
@@ -114,7 +115,8 @@ namespace {
   constexpr Value LazyThreshold1 =  Value(1400);
   constexpr Value LazyThreshold2 =  Value(1300);
   constexpr Value SpaceThreshold = Value(12222);
-  constexpr Value NNUEThreshold  =   Value(520);
+  constexpr Value NNUEThreshold1 =   Value(550);
+  constexpr Value NNUEThreshold2 =   Value(150);
 
   // KingAttackWeights[PieceType] contains king attack weights by piece type
   constexpr int KingAttackWeights[PIECE_TYPE_NB] = { 0, 0, 81, 52, 44, 10 };
@@ -927,9 +929,6 @@ make_v:
     // Side to move point of view
     v = (pos.side_to_move() == WHITE ? v : -v) + Tempo;
 
-    // Damp down the evaluation linearly when shuffling
-    v = v * (100 - pos.rule50_count()) / 100;
-
     return v;
   }
 
@@ -941,14 +940,21 @@ make_v:
 
 Value Eval::evaluate(const Position& pos) {
 
-  if (Eval::useNNUE)
-  {
-      Value v = eg_value(pos.psq_score());
-      // Take NNUE eval only on balanced positions
-      if (abs(v) < NNUEThreshold)
-         return NNUE::evaluate(pos) + Tempo;
-  }
-  return Evaluation<NO_TRACE>(pos).value();
+  bool classical = !Eval::useNNUE
+                ||  abs(eg_value(pos.psq_score())) * 16 > NNUEThreshold1 * (16 + pos.rule50_count());
+  Value v = classical ? Evaluation<NO_TRACE>(pos).value()
+                      : NNUE::evaluate(pos) * 5 / 4 + Tempo;
+
+  if (classical && Eval::useNNUE && abs(v) * 16 < NNUEThreshold2 * (16 + pos.rule50_count()))
+      v = NNUE::evaluate(pos) * 5 / 4 + Tempo;
+
+  // Damp down the evaluation linearly when shuffling
+  v = v * (100 - pos.rule50_count()) / 100;
+
+  // Guarantee evalution outside of TB range
+  v = Utility::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
+
+  return v;
 }
 
 /// trace() is like evaluate(), but instead of returning a value, it returns