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Tune a few parameters related to evaluation
based on a SPSA tune (using Autoselect) https://tests.stockfishchess.org/tests/view/61d5aa63a314fed318a57046 passed STC: LLR: 2.93 (-2.94,2.94) <0.00,2.50> Total: 61960 W: 16640 L: 16316 D: 29004 Ptnml(0-2): 278, 6934, 16204, 7314, 250 https://tests.stockfishchess.org/tests/view/61d7fe4af5fd40f357469a8d passed LTC: LLR: 2.97 (-2.94,2.94) <0.50,3.00> Total: 79408 W: 21994 L: 21618 D: 35796 Ptnml(0-2): 106, 7887, 23331, 8285, 95 https://tests.stockfishchess.org/tests/view/61d836b7f5fd40f35746a3d5 closes https://github.com/official-stockfish/Stockfish/pull/3883 Bench: 4266621
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1 changed files with 7 additions and 7 deletions
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@ -192,8 +192,8 @@ using namespace Trace;
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namespace {
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namespace {
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// Threshold for lazy and space evaluation
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// Threshold for lazy and space evaluation
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constexpr Value LazyThreshold1 = Value(3130);
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constexpr Value LazyThreshold1 = Value(3631);
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constexpr Value LazyThreshold2 = Value(2204);
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constexpr Value LazyThreshold2 = Value(2084);
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constexpr Value SpaceThreshold = Value(11551);
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constexpr Value SpaceThreshold = Value(11551);
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// KingAttackWeights[PieceType] contains king attack weights by piece type
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// KingAttackWeights[PieceType] contains king attack weights by piece type
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@ -1087,10 +1087,10 @@ Value Eval::evaluate(const Position& pos) {
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// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical,
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// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical,
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// but we switch to NNUE during long shuffling or with high material on the board.
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// but we switch to NNUE during long shuffling or with high material on the board.
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if ( !useNNUE
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if ( !useNNUE
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|| abs(eg_value(pos.psq_score())) * 5 > (850 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count()))
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|| abs(eg_value(pos.psq_score())) * 5 > (849 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count()))
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{
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{
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v = Evaluation<NO_TRACE>(pos).value(); // classical
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v = Evaluation<NO_TRACE>(pos).value(); // classical
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useClassical = abs(v) >= 300;
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useClassical = abs(v) >= 298;
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}
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}
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// If result of a classical evaluation is much lower than threshold fall back to NNUE
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// If result of a classical evaluation is much lower than threshold fall back to NNUE
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@ -1101,9 +1101,9 @@ Value Eval::evaluate(const Position& pos) {
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Color stm = pos.side_to_move();
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Color stm = pos.side_to_move();
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Value optimism = pos.this_thread()->optimism[stm];
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Value optimism = pos.this_thread()->optimism[stm];
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Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score());
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Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score());
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int complexity = abs(nnue - psq) / 256;
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int complexity = 35 * abs(nnue - psq) / 256;
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optimism *= (1 + complexity);
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optimism = optimism * (44 + complexity) / 32;
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v = (nnue + optimism) * scale / 1024 - optimism;
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v = (nnue + optimism) * scale / 1024 - optimism;
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if (pos.is_chess960())
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if (pos.is_chess960())
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@ -1111,7 +1111,7 @@ Value Eval::evaluate(const Position& pos) {
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}
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}
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// Damp down the evaluation linearly when shuffling
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// Damp down the evaluation linearly when shuffling
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v = v * (207 - pos.rule50_count()) / 207;
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v = v * (208 - pos.rule50_count()) / 208;
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// Guarantee evaluation does not hit the tablebase range
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// Guarantee evaluation does not hit the tablebase range
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v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
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