mirror of
https://github.com/HChaZZY/Stockfish.git
synced 2025-12-22 18:17:02 +08:00
Use NNUE complexity in search, retune related parameters
This builds on ideas of xoto10 and mstembera to use more output from NNUE in the search algorithm. passed STC: https://tests.stockfishchess.org/tests/view/62ae454fe7ee5525ef88a957 LLR: 2.95 (-2.94,2.94) <0.00,2.50> Total: 89208 W: 24127 L: 23753 D: 41328 Ptnml(0-2): 400, 9886, 23642, 10292, 384 passed LTC: https://tests.stockfishchess.org/tests/view/62acc6ddd89eb6cf1e0750a1 LLR: 2.93 (-2.94,2.94) <0.50,3.00> Total: 56352 W: 15430 L: 15115 D: 25807 Ptnml(0-2): 44, 5501, 16782, 5794, 55 closes https://github.com/official-stockfish/Stockfish/pull/4088 bench 5332964
This commit is contained in:
committed by
Joost VandeVondele
parent
5304b561ab
commit
442c40b43d
@@ -307,7 +307,7 @@ void Thread::search() {
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multiPV = std::min(multiPV, rootMoves.size());
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complexityAverage.set(202, 1);
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complexityAverage.set(174, 1);
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trend = SCORE_ZERO;
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optimism[ us] = Value(39);
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@@ -472,7 +472,7 @@ void Thread::search() {
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double reduction = (1.56 + mainThread->previousTimeReduction) / (2.20 * timeReduction);
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double bestMoveInstability = 1 + 1.7 * totBestMoveChanges / Threads.size();
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int complexity = mainThread->complexityAverage.value();
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double complexPosition = std::clamp(1.0 + (complexity - 326) / 1618.1, 0.5, 1.5);
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double complexPosition = std::clamp(1.0 + (complexity - 277) / 1819, 0.5, 1.5);
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double totalTime = Time.optimum() * fallingEval * reduction * bestMoveInstability * complexPosition;
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@@ -736,7 +736,9 @@ namespace {
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// Never assume anything about values stored in TT
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ss->staticEval = eval = tte->eval();
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if (eval == VALUE_NONE)
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ss->staticEval = eval = evaluate(pos);
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ss->staticEval = eval = evaluate(pos, &complexity);
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else // Fall back to (semi)classical complexity for TT hits, the NNUE complexity is lost
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complexity = abs(ss->staticEval - pos.psq_eg_stm());
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// Randomize draw evaluation
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if (eval == VALUE_DRAW)
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@@ -749,13 +751,15 @@ namespace {
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}
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else
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{
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ss->staticEval = eval = evaluate(pos);
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ss->staticEval = eval = evaluate(pos, &complexity);
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// Save static evaluation into transposition table
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if (!excludedMove)
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tte->save(posKey, VALUE_NONE, ss->ttPv, BOUND_NONE, DEPTH_NONE, MOVE_NONE, eval);
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}
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thisThread->complexityAverage.update(complexity);
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// Use static evaluation difference to improve quiet move ordering (~3 Elo)
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if (is_ok((ss-1)->currentMove) && !(ss-1)->inCheck && !priorCapture)
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{
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@@ -770,11 +774,7 @@ namespace {
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improvement = (ss-2)->staticEval != VALUE_NONE ? ss->staticEval - (ss-2)->staticEval
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: (ss-4)->staticEval != VALUE_NONE ? ss->staticEval - (ss-4)->staticEval
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: 175;
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improving = improvement > 0;
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complexity = abs(ss->staticEval - (us == WHITE ? eg_value(pos.psq_score()) : -eg_value(pos.psq_score())));
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thisThread->complexityAverage.update(complexity);
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// Step 7. Razoring.
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// If eval is really low check with qsearch if it can exceed alpha, if it can't,
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@@ -803,7 +803,7 @@ namespace {
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&& (ss-1)->statScore < 14695
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&& eval >= beta
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&& eval >= ss->staticEval
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&& ss->staticEval >= beta - 15 * depth - improvement / 15 + 198 + complexity / 28
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&& ss->staticEval >= beta - 15 * depth - improvement / 15 + 201 + complexity / 24
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&& !excludedMove
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&& pos.non_pawn_material(us)
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&& (ss->ply >= thisThread->nmpMinPly || us != thisThread->nmpColor))
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@@ -811,7 +811,7 @@ namespace {
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assert(eval - beta >= 0);
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// Null move dynamic reduction based on depth, eval and complexity of position
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Depth R = std::min(int(eval - beta) / 147, 5) + depth / 3 + 4 - (complexity > 753);
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Depth R = std::min(int(eval - beta) / 147, 5) + depth / 3 + 4 - (complexity > 650);
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ss->currentMove = MOVE_NULL;
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ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
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