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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
This commit is contained in:
Joost VandeVondele 2022-01-06 07:44:41 +01:00
parent 2efda17c2a
commit 9ad0ea7382

View file

@ -192,8 +192,8 @@ using namespace Trace;
namespace { namespace {
// Threshold for lazy and space evaluation // Threshold for lazy and space evaluation
constexpr Value LazyThreshold1 = Value(3130); constexpr Value LazyThreshold1 = Value(3631);
constexpr Value LazyThreshold2 = Value(2204); constexpr Value LazyThreshold2 = Value(2084);
constexpr Value SpaceThreshold = Value(11551); constexpr Value SpaceThreshold = Value(11551);
// KingAttackWeights[PieceType] contains king attack weights by piece type // KingAttackWeights[PieceType] contains king attack weights by piece type
@ -1087,10 +1087,10 @@ Value Eval::evaluate(const Position& pos) {
// Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical, // Deciding between classical and NNUE eval (~10 Elo): for high PSQ imbalance we use classical,
// but we switch to NNUE during long shuffling or with high material on the board. // but we switch to NNUE during long shuffling or with high material on the board.
if ( !useNNUE if ( !useNNUE
|| abs(eg_value(pos.psq_score())) * 5 > (850 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count())) || abs(eg_value(pos.psq_score())) * 5 > (849 + pos.non_pawn_material() / 64) * (5 + pos.rule50_count()))
{ {
v = Evaluation<NO_TRACE>(pos).value(); // classical v = Evaluation<NO_TRACE>(pos).value(); // classical
useClassical = abs(v) >= 300; useClassical = abs(v) >= 298;
} }
// If result of a classical evaluation is much lower than threshold fall back to NNUE // If result of a classical evaluation is much lower than threshold fall back to NNUE
@ -1101,9 +1101,9 @@ Value Eval::evaluate(const Position& pos) {
Color stm = pos.side_to_move(); Color stm = pos.side_to_move();
Value optimism = pos.this_thread()->optimism[stm]; Value optimism = pos.this_thread()->optimism[stm];
Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score()); Value psq = (stm == WHITE ? 1 : -1) * eg_value(pos.psq_score());
int complexity = abs(nnue - psq) / 256; int complexity = 35 * abs(nnue - psq) / 256;
optimism *= (1 + complexity); optimism = optimism * (44 + complexity) / 32;
v = (nnue + optimism) * scale / 1024 - optimism; v = (nnue + optimism) * scale / 1024 - optimism;
if (pos.is_chess960()) if (pos.is_chess960())
@ -1111,7 +1111,7 @@ Value Eval::evaluate(const Position& pos) {
} }
// Damp down the evaluation linearly when shuffling // Damp down the evaluation linearly when shuffling
v = v * (207 - pos.rule50_count()) / 207; v = v * (208 - pos.rule50_count()) / 208;
// Guarantee evaluation does not hit the tablebase range // 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); v = std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);