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Remove delta from evaluation

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Passed STC: https://tests.stockfishchess.org/tests/view/6660e49c6489614cdad14e29
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 188768 W: 48907 L: 48854 D: 91007
Ptnml(0-2): 584, 22571, 48005, 22656, 568

Passed LTC: https://tests.stockfishchess.org/tests/view/6660ff9791e372763104b38c
LLR: 2.95 (-2.94,2.94) <-1.75,0.25>
Total: 310680 W: 78651 L: 78727 D: 153302
Ptnml(0-2): 180, 34818, 85433, 34716, 193

closes https://github.com/official-stockfish/Stockfish/pull/5373

Bench: 1214575
This commit is contained in:
Dubslow 2024-06-03 17:47:03 -05:00 • committed by Disservin
parent f55239b2f3
commit 7d4ffa175c
1 changed files with 9 additions and 10 deletions
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19
src/evaluate.cpp
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@ -47,7 +47,7 @@ int Eval::simple_eval(const Position& pos, Color c) {
bool Eval::use_smallnet(const Position& pos) {
int simpleEval = simple_eval(pos, pos.side_to_move());
return std::abs(simpleEval) > 992;
return std::abs(simpleEval) > 962;
}
// Evaluate is the evaluator for the outer world. It returns a static evaluation
@ -66,25 +66,24 @@ Value Eval::evaluate(const Eval::NNUE::Networks& networks,
auto [psqt, positional] = smallNet ? networks.small.evaluate(pos, &caches.small)
: networks.big.evaluate(pos, &caches.big);
constexpr int delta = 3;
Value nnue = ((128 - delta) * psqt + (128 + delta) * positional) / 128;
int nnueComplexity = std::abs(psqt - positional);
Value nnue = psqt + positional;
int nnueComplexity = std::abs(psqt - positional);
// Re-evaluate the position when higher eval accuracy is worth the time spent
if (smallNet && (nnue * simpleEval < 0 || std::abs(nnue) < 250))
if (smallNet && (nnue * simpleEval < 0 || std::abs(nnue) < 227))
{
std::tie(psqt, positional) = networks.big.evaluate(pos, &caches.big);
nnue = ((128 - delta) * psqt + (128 + delta) * positional) / 128;
nnue = psqt + positional;
nnueComplexity = std::abs(psqt - positional);
smallNet = false;
}
// Blend optimism and eval with nnue complexity
optimism += optimism * nnueComplexity / 470;
nnue -= nnue * nnueComplexity / 20000;
optimism += optimism * nnueComplexity / 457;
nnue -= nnue * nnueComplexity / 19157;
int material = 600 * pos.count<PAWN>() + pos.non_pawn_material();
v = (nnue * (68600 + material) + optimism * (8800 + material)) / 73344;
int material = 554 * pos.count<PAWN>() + pos.non_pawn_material();
v = (nnue * (73921 + material) + optimism * (8112 + material)) / 73260;
// Damp down the evaluation linearly when shuffling
v -= v * pos.rule50_count() / 212;