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VVLTC search tune

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Parameters were tuned with 199k games of VVLTC: https://tests.stockfishchess.org/tests/view/665c67e73542f91ad1c54fe2

Passed VVLTC 1st sprt: https://tests.stockfishchess.org/tests/view/665e9c83fd45fb0f907c837c
LLR: 2.95 (-2.94,2.94) <0.00,2.00>
Total: 83494 W: 21546 L: 21219 D: 40729
Ptnml(0-2): 6, 7707, 25993, 8036, 5

Passed VVLTC 2nd sprt: https://tests.stockfishchess.org/tests/view/665f650bfd45fb0f907cb360
LLR: 2.94 (-2.94,2.94) <0.50,2.50>
Total: 151056 W: 38796 L: 38295 D: 73965
Ptnml(0-2): 5, 13742, 47536, 14237, 8

https://github.com/official-stockfish/Stockfish/pull/5359

Bench: 1154524
This commit is contained in:
Muzhen Gaming 2024-06-04 12:47:54 +08:00 • committed by Joost VandeVondele
parent 21ba32af6d
commit a08fcacb28
1 changed files with 47 additions and 47 deletions
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94
src/search.cpp
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@ -60,9 +60,9 @@ static constexpr double EvalLevel[10] = {0.981, 0.956, 0.895, 0.949, 0.913,
// Futility margin // Futility margin
Value futility_margin(Depth d, bool noTtCutNode, bool improving, bool oppWorsening) { Value futility_margin(Depth d, bool noTtCutNode, bool improving, bool oppWorsening) {
Value futilityMult = 129 - 43 * noTtCutNode; Value futilityMult = 124 - 43 * noTtCutNode;
Value improvingDeduction = 56 * improving * futilityMult / 32; Value improvingDeduction = 60 * improving * futilityMult / 32;
Value worseningDeduction = 336 * oppWorsening * futilityMult / 1024; Value worseningDeduction = 344 * oppWorsening * futilityMult / 1024;
return futilityMult * d - improvingDeduction - worseningDeduction; return futilityMult * d - improvingDeduction - worseningDeduction;
} }
@ -74,15 +74,15 @@ constexpr int futility_move_count(bool improving, Depth depth) {
// Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range // Add correctionHistory value to raw staticEval and guarantee evaluation does not hit the tablebase range
Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) { Value to_corrected_static_eval(Value v, const Worker& w, const Position& pos) {
auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)]; auto cv = w.correctionHistory[pos.side_to_move()][pawn_structure_index<Correction>(pos)];
v += cv * std::abs(cv) / 5435; v += cv * std::abs(cv) / 4990;
return std::clamp(v, VALUE_TB_LOSS_IN_MAX_PLY + 1, VALUE_TB_WIN_IN_MAX_PLY - 1); 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 // History and stats update bonus, based on depth
int stat_bonus(Depth d) { return std::clamp(205 * d - 283, 18, 1544); } int stat_bonus(Depth d) { return std::clamp(186 * d - 285, 20, 1524); }
// History and stats update malus, based on depth // History and stats update malus, based on depth
int stat_malus(Depth d) { return (d < 4 ? 767 * d - 275 : 1911); } int stat_malus(Depth d) { return (d < 4 ? 707 * d - 260 : 2073); }
// Add a small random component to draw evaluations to avoid 3-fold blindness // 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); } Value value_draw(size_t nodes) { return VALUE_DRAW - 1 + Value(nodes & 0x2); }
@ -314,12 +314,12 @@ void Search::Worker::iterative_deepening() {
// Reset aspiration window starting size // Reset aspiration window starting size
Value avg = rootMoves[pvIdx].averageScore; Value avg = rootMoves[pvIdx].averageScore;
delta = 9 + avg * avg / 10502; delta = 9 + avg * avg / 10182;
alpha = std::max(avg - delta, -VALUE_INFINITE); alpha = std::max(avg - delta, -VALUE_INFINITE);
beta = std::min(avg + delta, VALUE_INFINITE); beta = std::min(avg + delta, VALUE_INFINITE);
// Adjust optimism based on root move's averageScore (~4 Elo) // Adjust optimism based on root move's averageScore (~4 Elo)
optimism[us] = 122 * avg / (std::abs(avg) + 92); optimism[us] = 127 * avg / (std::abs(avg) + 86);
optimism[~us] = -optimism[us]; optimism[~us] = -optimism[us];
// Start with a small aspiration window and, in the case of a fail // Start with a small aspiration window and, in the case of a fail
@ -500,17 +500,17 @@ void Search::Worker::clear() {
counterMoves.fill(Move::none()); counterMoves.fill(Move::none());
mainHistory.fill(0); mainHistory.fill(0);
captureHistory.fill(0); captureHistory.fill(0);
pawnHistory.fill(-1300); pawnHistory.fill(-1193);
correctionHistory.fill(0); correctionHistory.fill(0);
for (bool inCheck : {false, true}) for (bool inCheck : {false, true})
for (StatsType c : {NoCaptures, Captures}) for (StatsType c : {NoCaptures, Captures})
for (auto& to : continuationHistory[inCheck][c]) for (auto& to : continuationHistory[inCheck][c])
for (auto& h : to) for (auto& h : to)
h->fill(-60); h->fill(-56);
for (size_t i = 1; i < reductions.size(); ++i) for (size_t i = 1; i < reductions.size(); ++i)
reductions[i] = int((19.90 + std::log(size_t(options["Threads"])) / 2) * std::log(i)); reductions[i] = int((19.26 + std::log(size_t(options["Threads"])) / 2) * std::log(i));
refreshTable.clear(networks[numaAccessToken]); refreshTable.clear(networks[numaAccessToken]);
} }
@ -742,7 +742,7 @@ Value Search::Worker::search(
// Use static evaluation difference to improve quiet move ordering (~9 Elo) // Use static evaluation difference to improve quiet move ordering (~9 Elo)
if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture) if (((ss - 1)->currentMove).is_ok() && !(ss - 1)->inCheck && !priorCapture)
{ {
int bonus = std::clamp(-11 * int((ss - 1)->staticEval + ss->staticEval), -1592, 1390); int bonus = std::clamp(-10 * int((ss - 1)->staticEval + ss->staticEval), -1590, 1371);
bonus = bonus > 0 ? 2 * bonus : bonus / 2; bonus = bonus > 0 ? 2 * bonus : bonus / 2;
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus; thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] << bonus;
if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION) if (type_of(pos.piece_on(prevSq)) != PAWN && ((ss - 1)->currentMove).type_of() != PROMOTION)
@ -764,7 +764,7 @@ Value Search::Worker::search(
// Step 7. Razoring (~1 Elo) // Step 7. Razoring (~1 Elo)
// If eval is really low check with qsearch if it can exceed alpha, if it can't, // If eval is really low check with qsearch if it can exceed alpha, if it can't,
// return a fail low. // return a fail low.
if (eval < alpha - 501 - 305 * depth * depth) if (eval < alpha - 512 - 293 * depth * depth)
{ {
value = qsearch<NonPV>(pos, ss, alpha - 1, alpha); value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
if (value < alpha) if (value < alpha)
@ -773,23 +773,23 @@ Value Search::Worker::search(
// Step 8. Futility pruning: child node (~40 Elo) // Step 8. Futility pruning: child node (~40 Elo)
// The depth condition is important for mate finding. // The depth condition is important for mate finding.
if (!ss->ttPv && depth < 12 if (!ss->ttPv && depth < 13
&& eval - futility_margin(depth, cutNode && !ss->ttHit, improving, opponentWorsening) && eval - futility_margin(depth, cutNode && !ss->ttHit, improving, opponentWorsening)
- (ss - 1)->statScore / 248 - (ss - 1)->statScore / 263
>= beta >= beta
&& eval >= beta && eval < VALUE_TB_WIN_IN_MAX_PLY && (!ttMove || ttCapture)) && eval >= beta && eval < VALUE_TB_WIN_IN_MAX_PLY && (!ttMove || ttCapture))
return beta > VALUE_TB_LOSS_IN_MAX_PLY ? beta + (eval - beta) / 3 : eval; return beta > VALUE_TB_LOSS_IN_MAX_PLY ? beta + (eval - beta) / 3 : eval;
// Step 9. Null move search with verification search (~35 Elo) // Step 9. Null move search with verification search (~35 Elo)
if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 13999 if (!PvNode && (ss - 1)->currentMove != Move::null() && (ss - 1)->statScore < 14369
&& eval >= beta && ss->staticEval >= beta - 21 * depth + 390 && !excludedMove && eval >= beta && ss->staticEval >= beta - 21 * depth + 393 && !excludedMove
&& pos.non_pawn_material(us) && ss->ply >= thisThread->nmpMinPly && pos.non_pawn_material(us) && ss->ply >= thisThread->nmpMinPly
&& beta > VALUE_TB_LOSS_IN_MAX_PLY) && beta > VALUE_TB_LOSS_IN_MAX_PLY)
{ {
assert(eval - beta >= 0); assert(eval - beta >= 0);
// Null move dynamic reduction based on depth and eval // Null move dynamic reduction based on depth and eval
Depth R = std::min(int(eval - beta) / 177, 6) + depth / 3 + 5; Depth R = std::min(int(eval - beta) / 197, 6) + depth / 3 + 5;
ss->currentMove = Move::null(); ss->currentMove = Move::null();
ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0]; ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
@ -847,7 +847,7 @@ Value Search::Worker::search(
// Step 11. ProbCut (~10 Elo) // Step 11. ProbCut (~10 Elo)
// If we have a good enough capture (or queen promotion) and a reduced search returns a value // 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. // much above beta, we can (almost) safely prune the previous move.
probCutBeta = beta + 185 - 60 * improving; probCutBeta = beta + 177 - 57 * improving;
if ( if (
!PvNode && depth > 3 !PvNode && depth > 3
&& std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY
@ -903,7 +903,7 @@ Value Search::Worker::search(
moves_loop: // When in check, search starts here moves_loop: // When in check, search starts here
// Step 12. A small Probcut idea, when we are in check (~4 Elo) // Step 12. A small Probcut idea, when we are in check (~4 Elo)
probCutBeta = beta + 361; probCutBeta = beta + 388;
if (ss->inCheck && !PvNode && ttCapture && (tte->bound() & BOUND_LOWER) if (ss->inCheck && !PvNode && ttCapture && (tte->bound() & BOUND_LOWER)
&& tte->depth() >= depth - 4 && ttValue >= probCutBeta && tte->depth() >= depth - 4 && ttValue >= probCutBeta
&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY) && std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && std::abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
@ -991,15 +991,15 @@ moves_loop: // When in check, search starts here
// Futility pruning for captures (~2 Elo) // Futility pruning for captures (~2 Elo)
if (!givesCheck && lmrDepth < 7 && !ss->inCheck) if (!givesCheck && lmrDepth < 7 && !ss->inCheck)
{ {
Value futilityValue = ss->staticEval + 283 + 235 * lmrDepth Value futilityValue = ss->staticEval + 287 + 248 * lmrDepth
+ PieceValue[capturedPiece] + captHist / 7; + PieceValue[capturedPiece] + captHist / 7;
if (futilityValue <= alpha) if (futilityValue <= alpha)
continue; continue;
} }
// SEE based pruning for captures and checks (~11 Elo) // SEE based pruning for captures and checks (~11 Elo)
int seeHist = std::clamp(captHist / 32, -183 * depth, 162 * depth); int seeHist = std::clamp(captHist / 32, -180 * depth, 163 * depth);
if (!pos.see_ge(move, -166 * depth - seeHist)) if (!pos.see_ge(move, -160 * depth - seeHist))
continue; continue;
} }
else else
@ -1010,18 +1010,18 @@ moves_loop: // When in check, search starts here
+ thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()]; + thisThread->pawnHistory[pawn_structure_index(pos)][movedPiece][move.to_sq()];
// Continuation history based pruning (~2 Elo) // Continuation history based pruning (~2 Elo)
if (lmrDepth < 6 && history < -4427 * depth) if (lmrDepth < 6 && history < -4151 * depth)
continue; continue;
history += 2 * thisThread->mainHistory[us][move.from_to()]; history += 2 * thisThread->mainHistory[us][move.from_to()];
lmrDepth += history / 3670; lmrDepth += history / 3678;
Value futilityValue = Value futilityValue =
ss->staticEval + (bestValue < ss->staticEval - 51 ? 149 : 55) + 141 * lmrDepth; ss->staticEval + (bestValue < ss->staticEval - 51 ? 138 : 54) + 140 * lmrDepth;
// Futility pruning: parent node (~13 Elo) // Futility pruning: parent node (~13 Elo)
if (!ss->inCheck && lmrDepth < 11 && futilityValue <= alpha) if (!ss->inCheck && lmrDepth < 12 && futilityValue <= alpha)
{ {
if (bestValue <= futilityValue && std::abs(bestValue) < VALUE_TB_WIN_IN_MAX_PLY if (bestValue <= futilityValue && std::abs(bestValue) < VALUE_TB_WIN_IN_MAX_PLY
&& futilityValue < VALUE_TB_WIN_IN_MAX_PLY) && futilityValue < VALUE_TB_WIN_IN_MAX_PLY)
@ -1032,7 +1032,7 @@ moves_loop: // When in check, search starts here
lmrDepth = std::max(lmrDepth, 0); lmrDepth = std::max(lmrDepth, 0);
// Prune moves with negative SEE (~4 Elo) // Prune moves with negative SEE (~4 Elo)
if (!pos.see_ge(move, -26 * lmrDepth * lmrDepth)) if (!pos.see_ge(move, -24 * lmrDepth * lmrDepth))
continue; continue;
} }
} }
@ -1055,11 +1055,11 @@ moves_loop: // When in check, search starts here
// margins scale well. // margins scale well.
if (!rootNode && move == ttMove && !excludedMove if (!rootNode && move == ttMove && !excludedMove
&& depth >= 4 - (thisThread->completedDepth > 38) + ss->ttPv && depth >= 4 - (thisThread->completedDepth > 35) + ss->ttPv
&& std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && (tte->bound() & BOUND_LOWER) && std::abs(ttValue) < VALUE_TB_WIN_IN_MAX_PLY && (tte->bound() & BOUND_LOWER)
&& tte->depth() >= depth - 3) && tte->depth() >= depth - 3)
{ {
Value singularBeta = ttValue - (58 + 64 * (ss->ttPv && !PvNode)) * depth / 64; Value singularBeta = ttValue - (52 + 80 * (ss->ttPv && !PvNode)) * depth / 64;
Depth singularDepth = newDepth / 2; Depth singularDepth = newDepth / 2;
ss->excludedMove = move; ss->excludedMove = move;
@ -1070,13 +1070,13 @@ moves_loop: // When in check, search starts here
if (value < singularBeta) if (value < singularBeta)
{ {
int doubleMargin = 304 * PvNode - 203 * !ttCapture; int doubleMargin = 290 * PvNode - 200 * !ttCapture;
int tripleMargin = 117 + 259 * PvNode - 296 * !ttCapture + 97 * ss->ttPv; int tripleMargin = 107 + 247 * PvNode - 278 * !ttCapture + 99 * ss->ttPv;
extension = 1 + (value < singularBeta - doubleMargin) extension = 1 + (value < singularBeta - doubleMargin)
+ (value < singularBeta - tripleMargin); + (value < singularBeta - tripleMargin);
depth += ((!PvNode) && (depth < 16)); depth += ((!PvNode) && (depth < 18));
} }
// Multi-cut pruning // Multi-cut pruning
@ -1106,7 +1106,7 @@ moves_loop: // When in check, search starts here
else if (PvNode && move.to_sq() == prevSq else if (PvNode && move.to_sq() == prevSq
&& thisThread->captureHistory[movedPiece][move.to_sq()] && thisThread->captureHistory[movedPiece][move.to_sq()]
[type_of(pos.piece_on(move.to_sq()))] [type_of(pos.piece_on(move.to_sq()))]
> 3988) > 3922)
extension = 1; extension = 1;
} }
@ -1162,10 +1162,10 @@ moves_loop: // When in check, search starts here
ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()] ss->statScore = 2 * thisThread->mainHistory[us][move.from_to()]
+ (*contHist[0])[movedPiece][move.to_sq()] + (*contHist[0])[movedPiece][move.to_sq()]
+ (*contHist[1])[movedPiece][move.to_sq()] - 5169; + (*contHist[1])[movedPiece][move.to_sq()] - 4747;
// Decrease/increase reduction for moves with a good/bad history (~8 Elo) // Decrease/increase reduction for moves with a good/bad history (~8 Elo)
r -= ss->statScore / 11049; r -= ss->statScore / 11125;
// Step 17. Late moves reduction / extension (LMR, ~117 Elo) // Step 17. Late moves reduction / extension (LMR, ~117 Elo)
if (depth >= 2 && moveCount > 1 + rootNode) if (depth >= 2 && moveCount > 1 + rootNode)
@ -1184,7 +1184,7 @@ moves_loop: // When in check, search starts here
{ {
// Adjust full-depth search based on LMR results - if the result // Adjust full-depth search based on LMR results - if the result
// was good enough search deeper, if it was bad enough search shallower. // was good enough search deeper, if it was bad enough search shallower.
const bool doDeeperSearch = value > (bestValue + 36 + 2 * newDepth); // (~1 Elo) const bool doDeeperSearch = value > (bestValue + 35 + 2 * newDepth); // (~1 Elo)
const bool doShallowerSearch = value < bestValue + newDepth; // (~2 Elo) const bool doShallowerSearch = value < bestValue + newDepth; // (~2 Elo)
newDepth += doDeeperSearch - doShallowerSearch; newDepth += doDeeperSearch - doShallowerSearch;
@ -1345,10 +1345,10 @@ moves_loop: // When in check, search starts here
// Bonus for prior countermove that caused the fail low // Bonus for prior countermove that caused the fail low
else if (!priorCapture && prevSq != SQ_NONE) else if (!priorCapture && prevSq != SQ_NONE)
{ {
int bonus = (116 * (depth > 5) + 115 * (PvNode || cutNode) int bonus = (113 * (depth > 5) + 118 * (PvNode || cutNode)
+ 186 * ((ss - 1)->statScore < -14144) + 121 * ((ss - 1)->moveCount > 9) + 191 * ((ss - 1)->statScore < -14396) + 119 * ((ss - 1)->moveCount > 8)
+ 64 * (!ss->inCheck && bestValue <= ss->staticEval - 115) + 64 * (!ss->inCheck && bestValue <= ss->staticEval - 107)
+ 137 * (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 81)); + 147 * (!(ss - 1)->inCheck && bestValue <= -(ss - 1)->staticEval - 75));
update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq, update_continuation_histories(ss - 1, pos.piece_on(prevSq), prevSq,
stat_bonus(depth) * bonus / 100); stat_bonus(depth) * bonus / 100);
thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()] thisThread->mainHistory[~us][((ss - 1)->currentMove).from_to()]
@ -1520,7 +1520,7 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
if (bestValue > alpha) if (bestValue > alpha)
alpha = bestValue; alpha = bestValue;
futilityBase = ss->staticEval + 279; futilityBase = ss->staticEval + 294;
} }
const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory, const PieceToHistory* contHist[] = {(ss - 1)->continuationHistory,
@ -1592,11 +1592,11 @@ Value Search::Worker::qsearch(Position& pos, Stack* ss, Value alpha, Value beta,
+ (*contHist[1])[pos.moved_piece(move)][move.to_sq()] + (*contHist[1])[pos.moved_piece(move)][move.to_sq()]
+ thisThread->pawnHistory[pawn_structure_index(pos)][pos.moved_piece(move)] + thisThread->pawnHistory[pawn_structure_index(pos)][pos.moved_piece(move)]
[move.to_sq()] [move.to_sq()]
<= 4181) <= 4452)
continue; continue;
// Do not search moves with bad enough SEE values (~5 Elo) // Do not search moves with bad enough SEE values (~5 Elo)
if (!pos.see_ge(move, -67)) if (!pos.see_ge(move, -74))
continue; continue;
} }
@ -1662,7 +1662,7 @@ 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 { Depth Search::Worker::reduction(bool i, Depth d, int mn, int delta) const {
int reductionScale = reductions[d] * reductions[mn]; int reductionScale = reductions[d] * reductions[mn];
return (reductionScale + 1222 - delta * 733 / rootDelta) / 1024 + (!i && reductionScale > 1231); return (reductionScale + 1236 - delta * 746 / rootDelta) / 1024 + (!i && reductionScale > 1326);
} }
// elapsed() returns the time elapsed since the search started. If the // elapsed() returns the time elapsed since the search started. If the
@ -1765,7 +1765,7 @@ void update_all_stats(const Position& pos,
if (!pos.capture_stage(bestMove)) if (!pos.capture_stage(bestMove))
{ {
int bestMoveBonus = bestValue > beta + 176 ? quietMoveBonus // larger bonus int bestMoveBonus = bestValue > beta + 164 ? quietMoveBonus // larger bonus
: stat_bonus(depth); // smaller bonus : stat_bonus(depth); // smaller bonus
update_quiet_stats(pos, ss, workerThread, bestMove, bestMoveBonus); update_quiet_stats(pos, ss, workerThread, bestMove, bestMoveBonus);
@ -1803,7 +1803,7 @@ void update_all_stats(const Position& pos,
// by moves at ply -1, -2, -3, -4, and -6 with current move. // by moves at ply -1, -2, -3, -4, and -6 with current move.
void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) { void update_continuation_histories(Stack* ss, Piece pc, Square to, int bonus) {
bonus = bonus * 47 / 64; bonus = bonus * 51 / 64;
for (int i : {1, 2, 3, 4, 6}) for (int i : {1, 2, 3, 4, 6})
{ {