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VVLTC Search Tune

Tuned with 115k games at VVLTC:
https://tests.stockfishchess.org/tests/view/66c80e09bf8c9d8780fda62a

Passed VVLTC 1st sprt:
https://tests.stockfishchess.org/tests/view/66d69ade9de3e7f9b33d14f9
LLR: 2.94 (-2.94,2.94) <0.00,2.00>
Total: 54270 W: 13935 L: 13647 D: 26688
Ptnml(0-2): 2, 4907, 17032, 5189, 5

Passed VVLTC 2nd sprt:
https://tests.stockfishchess.org/tests/view/66dcf9c1dc53972b68218c84
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 136696 W: 34941 L: 34462 D: 67293
Ptnml(0-2): 8, 12659, 42535, 13138, 8

closes https://github.com/official-stockfish/Stockfish/pull/5592

Bench: 1644273
This commit is contained in:
Muzhen Gaming 2024-09-17 20:44:57 +02:00 committed by Disservin
parent a06e7004c1
commit 224c147bd6

View file

@ -67,7 +67,7 @@ namespace {
// Futility margin
Value futility_margin(Depth d, bool noTtCutNode, bool improving, bool oppWorsening) {
Value futilityMult = 122 - 37 * noTtCutNode;
Value futilityMult = 118 - 33 * noTtCutNode;
Value improvingDeduction = improving * futilityMult * 2;
Value worseningDeduction = oppWorsening * futilityMult / 3;
@ -85,15 +85,15 @@ Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
w.pawnCorrectionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
const auto mcv = w.materialCorrectionHistory[pos.side_to_move()][material_index(pos)];
const auto cv = (2 * pcv + mcv) / 3;
v += 66 * cv / 512;
v += 74 * cv / 512;
return std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1);
}
// History and stats update bonus, based on depth
int stat_bonus(Depth d) { return std::min(190 * d - 108, 1596); }
int stat_bonus(Depth d) { return std::min(179 * d - 108, 1598); }
// History and stats update malus, based on depth
int stat_malus(Depth d) { return std::min(736 * d - 268, 2044); }
int stat_malus(Depth d) { return std::min(820 * d - 261, 2246); }
// Add a small random component to draw evaluations to avoid 3-fold blindness
Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
@ -299,12 +299,12 @@ void Search::Worker::iterative_deepening() {
// Reset aspiration window starting size
Value avg = rootMoves[pvIdx].averageScore;
delta = 5 + avg * avg / 13424;
delta = 5 + avg * avg / 11797;
alpha = std::max(avg - delta, -VALUE_INFINITE);
beta = std::min(avg + delta, VALUE_INFINITE);
// Adjust optimism based on root move's averageScore (~4 Elo)
optimism[us] = 125 * avg / (std::abs(avg) + 89);
optimism[us] = 132 * avg / (std::abs(avg) + 89);
optimism[~us] = -optimism[us];
// Start with a small aspiration window and, in the case of a fail
@ -488,8 +488,8 @@ void Search::Worker::iterative_deepening() {
// Reset histories, usually before a new game
void Search::Worker::clear() {
mainHistory.fill(0);
captureHistory.fill(-700);
pawnHistory.fill(-1188);
captureHistory.fill(-753);
pawnHistory.fill(-1152);
pawnCorrectionHistory.fill(0);
materialCorrectionHistory.fill(0);
@ -497,10 +497,10 @@ void Search::Worker::clear() {
for (StatsType c : {NoCaptures, Captures})
for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to)
h->fill(-658);
h->fill(-678);
for (size_t i = 1; i < reductions.size(); ++i)
reductions[i] = int((18.62 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
reductions[i] = int((18.43 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
refreshTable.clear(networks[numaAccessToken]);
}
@ -737,7 +737,7 @@ Value Search::Worker::search(
// Use static evaluation difference to improve quiet move ordering (~9 Elo)
if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
{
int bonus = std::clamp(-10 * int((ss - 1)->staticEval + ss->staticEval), -1664, 1471) + 752;
int bonus = std::clamp(-10 * int((ss - 1)->staticEval + ss->staticEval), -1641, 1423) + 760;
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
thisThread->pawnHistory[pawn_structure_index(pos)][pos.piece_on(prevSq)][prevSq]
@ -755,7 +755,7 @@ Value Search::Worker::search(
// Step 7. Razoring (~1 Elo)
// If eval is really low, check with qsearch if we can exceed alpha. If the
// search suggests we cannot exceed alpha, return a speculative fail low.
if (eval < alpha - 494 - 290 * depth * depth)
if (eval < alpha - 501 - 272 * depth * depth)
{
value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
if (value < alpha && std::abs(value) < VALUE_TB_WIN_IN_MAX_PLY)
@ -766,7 +766,7 @@ Value Search::Worker::search(
// The depth condition is important for mate finding.
if (!ss->ttPv && depth < 13
&& eval - futility_margin(depth, cutNode && !ss->ttHit, improving, opponentWorsening)
- (ss - 1)->statScore / 260
- (ss - 1)->statScore / 272
>= beta
&& eval >= beta && (!ttData.move || ttCapture) && beta > VALUE_TB_LOSS_IN_MAX_PLY
&& eval < VALUE_TB_WIN_IN_MAX_PLY)
@ -774,13 +774,13 @@ Value Search::Worker::search(
// Step 9. Null move search with verification search (~35 Elo)
if (cutNode && (ss - 1)->currentMove != Move::null() && eval >= beta
&& ss->staticEval >= beta - 21 * depth + 390 && !excludedMove && pos.non_pawn_material(us)
&& ss->staticEval >= beta - 23 * depth + 400 && !excludedMove && pos.non_pawn_material(us)
&& ss->ply >= thisThread->nmpMinPly && beta > VALUE_TB_LOSS_IN_MAX_PLY)
{
assert(eval - beta >= 0);
// Null move dynamic reduction based on depth and eval
Depth R = std::min(int(eval - beta) / 202, 6) + depth / 3 + 5;
Depth R = std::min(int(eval - beta) / 209, 6) + depth / 3 + 5;
ss->currentMove = Move::null();
ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
@ -829,7 +829,7 @@ Value Search::Worker::search(
// Step 11. ProbCut (~10 Elo)
// If we have a good enough capture (or queen promotion) and a reduced search
// returns a value much above beta, we can (almost) safely prune the previous move.
probCutBeta = beta + 184 - 53 * improving;
probCutBeta = beta + 189 - 53 * improving;
if (!PvNode && depth > 3
&& std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
// If value from transposition table is lower than probCutBeta, don't attempt
@ -898,7 +898,7 @@ Value Search::Worker::search(
moves_loop: // When in check, search starts here
// Step 12. A small Probcut idea (~4 Elo)
probCutBeta = beta + 390;
probCutBeta = beta + 379;
if ((ttData.bound & BOUND_LOWER) && ttData.depth >= depth - 4 && ttData.value >= probCutBeta
&& std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
&& std::abs(ttData.value) < VALUE_TB_WIN_IN_MAX_PLY)
@ -982,15 +982,15 @@ moves_loop: // When in check, search starts here
// Futility pruning for captures (~2 Elo)
if (!givesCheck && lmrDepth < 7 && !ss->inCheck)
{
Value futilityValue = ss->staticEval + 285 + 251 * lmrDepth
Value futilityValue = ss->staticEval + 300 + 238 * lmrDepth
+ PieceValue[capturedPiece] + captHist / 7;
if (futilityValue <= alpha)
continue;
}
// SEE based pruning for captures and checks (~11 Elo)
int seeHist = std::clamp(captHist / 32, -182 * depth, 166 * depth);
if (!pos.see_ge(move, -168 * depth - seeHist))
int seeHist = std::clamp(captHist / 32, -159 * depth, 160 * depth);
if (!pos.see_ge(move, -167 * depth - seeHist))
continue;
}
else
@ -1001,15 +1001,15 @@ moves_loop: // When in check, search starts here
+ thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()];
// Continuation history based pruning (~2 Elo)
if (history < -4165 * depth)
if (history < -4071 * depth)
continue;
history += 2 * thisThread->mainHistory[us][move.from_to()];
lmrDepth += history / 3853;
lmrDepth += history / 3653;
Value futilityValue =
ss->staticEval + (bestValue < ss->staticEval - 51 ? 143 : 52) + 135 * lmrDepth;
ss->staticEval + (bestValue < ss->staticEval - 51 ? 145 : 49) + 144 * lmrDepth;
// Futility pruning: parent node (~13 Elo)
if (!ss->inCheck && lmrDepth < 12 && futilityValue <= alpha)
@ -1050,7 +1050,7 @@ moves_loop: // When in check, search starts here
&& std::abs(ttData.value) < VALUE_TB_WIN_IN_MAX_PLY && (ttData.bound & BOUND_LOWER)
&& ttData.depth >= depth - 3)
{
Value singularBeta = ttData.value - (54 + 76 * (ss->ttPv && !PvNode)) * depth / 64;
Value singularBeta = ttData.value - (54 + 77 * (ss->ttPv && !PvNode)) * depth / 64;
Depth singularDepth = newDepth / 2;
ss->excludedMove = move;
@ -1060,13 +1060,13 @@ moves_loop: // When in check, search starts here
if (value < singularBeta)
{
int doubleMargin = 293 * PvNode - 195 * !ttCapture;
int tripleMargin = 107 + 259 * PvNode - 260 * !ttCapture + 98 * ss->ttPv;
int doubleMargin = 262 * PvNode - 204 * !ttCapture;
int tripleMargin = 97 + 266 * PvNode - 255 * !ttCapture + 94 * ss->ttPv;
extension = 1 + (value < singularBeta - doubleMargin)
+ (value < singularBeta - tripleMargin);
depth += ((!PvNode) && (depth < 16));
depth += ((!PvNode) && (depth < 14));
}
// Multi-cut pruning
@ -1099,7 +1099,7 @@ moves_loop: // When in check, search starts here
else if (PvNode && move.to_sq() == prevSq
&& thisThread->captureHistory[movedPiece][move.to_sq()]
[type_of(pos.piece_on(move.to_sq()))]
> 3994)
> 4299)
extension = 1;
}
@ -1153,10 +1153,10 @@ moves_loop: // When in check, search starts here
ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()]
+ (*contHist[0])[movedPiece][move.to_sq()]
+ (*contHist[1])[movedPiece][move.to_sq()] - 4664;
+ (*contHist[1])[movedPiece][move.to_sq()] - 4410;
// Decrease/increase reduction for moves with a good/bad history (~8 Elo)
r -= ss->statScore / 10898;
r -= ss->statScore / 11016;
// Step 17. Late moves reduction / extension (LMR, ~117 Elo)
if (depth >= 2 && moveCount > 1)
@ -1175,7 +1175,7 @@ moves_loop: // When in check, search starts here
{
// Adjust full-depth search based on LMR results - if the result was
// good enough search deeper, if it was bad enough search shallower.
const bool doDeeperSearch = value > (bestValue + 35 + 2 * newDepth); // (~1 Elo)
const bool doDeeperSearch = value > (bestValue + 38 + 2 * newDepth); // (~1 Elo)
const bool doShallowerSearch = value < bestValue + 8; // (~2 Elo)
newDepth += doDeeperSearch - doShallowerSearch;
@ -1344,19 +1344,19 @@ moves_loop: // When in check, search starts here
// Bonus for prior countermove that caused the fail low
else if (!priorCapture && prevSq != SQ_NONE)
{
int bonus = (122 * (depth > 5) + 39 * !allNode + 165 * ((ss - 1)->moveCount > 8)
+ 107 * (!ss->inCheck && bestValue <= ss->staticEval - 98)
+ 134 * (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 91));
int bonus = (118 * (depth > 5) + 38 * !allNode + 169 * ((ss - 1)->moveCount > 8)
+ 116 * (!ss->inCheck && bestValue <= ss->staticEval - 101)
+ 133 * (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 92));
// Proportional to "how much damage we have to undo"
bonus += std::min(-(ss - 1)->statScore / 100, 304);
bonus += std::min(-(ss - 1)->statScore / 102, 305);
bonus = std::max(bonus, 0);
update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq,
stat_bonus(depth) * bonus / 116);
stat_bonus(depth) * bonus / 107);
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()]
<< stat_bonus(depth) * bonus / 180;
<< stat_bonus(depth) * bonus / 174;
if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
@ -1522,7 +1522,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta)
if (bestValue > alpha)
alpha = bestValue;
futilityBase = ss->staticEval + 299;
futilityBase = ss->staticEval + 280;
}
const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory,
@ -1593,11 +1593,11 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta)
+ (*contHist[1])[pos.moved_piece(move)][move.to_sq()]
+ thisThread->pawnHistory[pawn_structure_index(pos)][pos.moved_piece(move)]
[move.to_sq()]
<= 4643)
<= 5036)
continue;
// Do not search moves with bad enough SEE values (~5 Elo)
if (!pos.see_ge(move, -83))
if (!pos.see_ge(move, -82))
continue;
}
@ -1663,7 +1663,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta)
Depth Search::Worker::reduction(bool i, Depth d, int mn, int delta) const {
int reductionScale = reductions[d] * reductions[mn];
return (reductionScale + 1274 - delta * 746 / rootDelta) / 1024 + (!i && reductionScale > 1293);
return (reductionScale + 1239 - delta * 795 / rootDelta) / 1024 + (!i && reductionScale > 1341);
}
// elapsed() returns the time elapsed since the search started. If the
@ -1794,7 +1794,7 @@ void update_all_stats(const Position& pos,
// at ply -1, -2, -3, -4, and -6 with current move.
void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) {
bonus = bonus * 52 / 64;
bonus = bonus * 53 / 64;
for (int i : {1, 2, 3, 4, 6})
{