Simplify away complexity in evaluation

Simplification STC: https://tests.stockfishchess.org/tests/view/64394bc0605991a801b4f6f0
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 72360 W: 19313 L: 19138 D: 33909
Ptnml(0-2): 206, 7883, 19800, 8112, 179

Simplification LTC: https://tests.stockfishchess.org/tests/view/6439e788c233ce943b6bdac1
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 224992 W: 60665 L: 60654 D: 103673
Ptnml(0-2): 96, 21875, 68526, 21920, 79

closes https://github.com/official-stockfish/Stockfish/pull/4530

Bench: 3709369

src/evaluate.cpp

@@ -1046,7 +1046,7 @@ 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, int* complexity) {
+Value Eval::evaluate(const Position& pos) {
 
   assert(!pos.checkers());
 
@@ -1075,10 +1075,6 @@ Value Eval::evaluate(const Position& pos, int* complexity) {
                         + (424 + optimism) * abs(psq - nnue)
                         ) / 1024;
 
-      // Return hybrid NNUE complexity to caller
-      if (complexity)
-          *complexity = nnueComplexity;
-
       optimism = optimism * (272 + nnueComplexity) / 256;
       v = (nnue * scale + optimism * (scale - 748)) / 1024;
   }
@@ -1089,10 +1085,6 @@ Value Eval::evaluate(const Position& pos, int* complexity) {
   // 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 && useClassical)
-      *complexity = abs(v - psq);
-
   return v;
 }
 

src/evaluate.h

@@ -31,7 +31,7 @@ class Position;
 namespace Eval {
 
   std::string trace(Position& pos);
-  Value evaluate(const Position& pos, int* complexity = nullptr);
+  Value evaluate(const Position& pos);
 
   extern bool useNNUE;
   extern std::string currentEvalFileName;

src/search.cpp

@@ -294,14 +294,6 @@ void Thread::search() {
 
   if (mainThread)
   {
-
-      if (!rootPos.checkers())
-      {
-          int rootComplexity;
-          Eval::evaluate(rootPos, &rootComplexity);
-          mainThread->complexity = std::min(1.03 + (rootComplexity - 241) / 1552.0, 1.45);
-      }
-
       if (mainThread->bestPreviousScore == VALUE_INFINITE)
           for (int i = 0; i < 4; ++i)
               mainThread->iterValue[i] = VALUE_ZERO;
@@ -478,7 +470,7 @@ void Thread::search() {
           double reduction = (1.4 + mainThread->previousTimeReduction) / (2.08 * timeReduction);
           double bestMoveInstability = 1 + 1.8 * totBestMoveChanges / Threads.size();
 
-          double totalTime = Time.optimum() * fallingEval * reduction * bestMoveInstability * mainThread->complexity;
+          double totalTime = Time.optimum() * fallingEval * reduction * bestMoveInstability;
 
           // Cap used time in case of a single legal move for a better viewer experience in tournaments
           // yielding correct scores and sufficiently fast moves.
@@ -561,7 +553,7 @@ namespace {
     bool givesCheck, improving, priorCapture, singularQuietLMR;
     bool capture, moveCountPruning, ttCapture;
     Piece movedPiece;
-    int moveCount, captureCount, quietCount, improvement, complexity;
+    int moveCount, captureCount, quietCount, improvement;
 
     // Step 1. Initialize node
     Thread* thisThread = pos.this_thread();
@@ -723,7 +715,6 @@ namespace {
         ss->staticEval = eval = VALUE_NONE;
         improving = false;
         improvement = 0;
-        complexity = 0;
         goto moves_loop;
     }
     else if (excludedMove)
@@ -731,17 +722,15 @@ namespace {
         // Providing the hint that this node's accumulator will be used often brings significant Elo gain (13 Elo)
         Eval::NNUE::hint_common_parent_position(pos);
         eval = ss->staticEval;
-        complexity = abs(ss->staticEval - pos.psq_eg_stm());
     }
     else if (ss->ttHit)
     {
         // Never assume anything about values stored in TT
         ss->staticEval = eval = tte->eval();
         if (eval == VALUE_NONE)
-            ss->staticEval = eval = evaluate(pos, &complexity);
+            ss->staticEval = eval = evaluate(pos);
-        else // Fall back to (semi)classical complexity for TT hits, the NNUE complexity is lost
+        else
         {
-            complexity = abs(ss->staticEval - pos.psq_eg_stm());
             if (PvNode)
                Eval::NNUE::hint_common_parent_position(pos);
         }
@@ -753,7 +742,7 @@ namespace {
     }
     else
     {
-        ss->staticEval = eval = evaluate(pos, &complexity);
+        ss->staticEval = eval = evaluate(pos);
         // Save static evaluation into transposition table
         tte->save(posKey, VALUE_NONE, ss->ttPv, BOUND_NONE, DEPTH_NONE, MOVE_NONE, eval);
     }
@@ -799,15 +788,15 @@ namespace {
         && (ss-1)->statScore < 18755
         &&  eval >= beta
         &&  eval >= ss->staticEval
-        &&  ss->staticEval >= beta - 20 * depth - improvement / 13 + 253 + complexity / 25
+        &&  ss->staticEval >= beta - 20 * depth - improvement / 13 + 253
         && !excludedMove
         &&  pos.non_pawn_material(us)
         && (ss->ply >= thisThread->nmpMinPly))
     {
         assert(eval - beta >= 0);
 
-        // Null move dynamic reduction based on depth, eval and complexity of position
+        // Null move dynamic reduction based on depth and eval
-        Depth R = std::min(int(eval - beta) / 172, 6) + depth / 3 + 4 - (complexity > 825);
+        Depth R = std::min(int(eval - beta) / 172, 6) + depth / 3 + 4;
 
         ss->currentMove = MOVE_NULL;
         ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];

src/thread.cpp

@@ -160,7 +160,6 @@ void ThreadPool::clear() {
   main()->bestPreviousScore = VALUE_INFINITE;
   main()->bestPreviousAverageScore = VALUE_INFINITE;
   main()->previousTimeReduction = 1.0;
-  main()->complexity = 1.0;
 }
 
 

src/thread.h

@@ -85,7 +85,6 @@ struct MainThread : public Thread {
   void search() override;
   void check_time();
 
-  double complexity;
   double previousTimeReduction;
   Value bestPreviousScore;
   Value bestPreviousAverageScore;