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Further LTC tuning of search parameters

Browse source 
Tuning done by bigpenor with some hand adjustments on top by Viz.

Had a good performance at fixed games 180+1.8:
https://tests.stockfishchess.org/tests/view/631836b437f41b13973d7da1
Elo: 1.35 +-1.2 (95%) LOS: 98.6%
Total: 60000 W: 16422 L: 16189 D: 27389
Ptnml(0-2): 39, 5335, 18992, 5622, 12
nElo: 3.13 +-2.8 (95%) PairsRatio: 1.05

Passed 60+0.6 8 threads SPRT:
https://tests.stockfishchess.org/tests/view/631ba0ff74bc4fe483a99db3
LLR: 2.95 (-2.94,2.94) <0.50,2.50>
Total: 29712 W: 8301 L: 8039 D: 13372
Ptnml(0-2): 12, 2318, 9925, 2598, 3

closes https://github.com/official-stockfish/Stockfish/pull/4160

bench 3938073
This commit is contained in:
Michael Chaly 2022-09-11 01:45:37 +03:00 • committed by Joost VandeVondele
parent 5eeb96d0e7
commit eaf2c8207f
1 changed files with 46 additions and 46 deletions
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92
src/search.cpp
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@ -63,7 +63,7 @@ namespace {
// Futility margin
Value futility_margin(Depth d, bool improving) {
return Value(174 * (d - improving));
return Value(165 * (d - improving));
}
// Reductions lookup table, initialized at startup
@ -71,7 +71,7 @@ namespace {
Depth reduction(bool i, Depth d, int mn, Value delta, Value rootDelta) {
int r = Reductions[d] * Reductions[mn];
return (r + 1463 - int(delta) * 1024 / int(rootDelta)) / 1024 + (!i && r > 1010);
return (r + 1642 - int(delta) * 1024 / int(rootDelta)) / 1024 + (!i && r > 916);
}
constexpr int futility_move_count(bool improving, Depth depth) {
@ -81,7 +81,7 @@ namespace {
// History and stats update bonus, based on depth
int stat_bonus(Depth d) {
return std::min((8 * d + 240) * d - 276 , 1907);
return std::min((12 * d + 282) * d - 349 , 1594);
}
// Add a small random component to draw evaluations to avoid 3-fold blindness
@ -158,7 +158,7 @@ namespace {
void Search::init() {
for (int i = 1; i < MAX_MOVES; ++i)
Reductions[i] = int((20.81 + std::log(Threads.size()) / 2) * std::log(i));
Reductions[i] = int((20.26 + std::log(Threads.size()) / 2) * std::log(i));
}
@ -307,10 +307,10 @@ void Thread::search() {
multiPV = std::min(multiPV, rootMoves.size());
complexityAverage.set(174, 1);
complexityAverage.set(155, 1);
trend = SCORE_ZERO;
optimism[ us] = Value(39);
optimism[ us] = Value(37);
optimism[~us] = -optimism[us];
int searchAgainCounter = 0;
@ -353,16 +353,16 @@ void Thread::search() {
if (rootDepth >= 4)
{
Value prev = rootMoves[pvIdx].averageScore;
delta = Value(16) + int(prev) * prev / 19178;
delta = Value(10) + int(prev) * prev / 15620;
alpha = std::max(prev - delta,-VALUE_INFINITE);
beta = std::min(prev + delta, VALUE_INFINITE);
// Adjust trend and optimism based on root move's previousScore
int tr = sigmoid(prev, 3, 8, 90, 125, 1);
int tr = sigmoid(prev, 3, 10, 89, 116, 1);
trend = (us == WHITE ? make_score(tr, tr / 2)
: -make_score(tr, tr / 2));
int opt = sigmoid(prev, 8, 17, 144, 15012, 183);
int opt = sigmoid(prev, 7, 20, 169, 19350, 164);
optimism[ us] = Value(opt);
optimism[~us] = -optimism[us];
}
@ -465,16 +465,16 @@ void Thread::search() {
&& !Threads.stop
&& !mainThread->stopOnPonderhit)
{
double fallingEval = (69 + 12 * (mainThread->bestPreviousAverageScore - bestValue)
+ 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 781.4;
double fallingEval = (71 + 12 * (mainThread->bestPreviousAverageScore - bestValue)
+ 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 656.7;
fallingEval = std::clamp(fallingEval, 0.5, 1.5);
// If the bestMove is stable over several iterations, reduce time accordingly
timeReduction = lastBestMoveDepth + 10 < completedDepth ? 1.63 : 0.73;
double reduction = (1.56 + mainThread->previousTimeReduction) / (2.20 * timeReduction);
timeReduction = lastBestMoveDepth + 9 < completedDepth ? 1.37 : 0.65;
double reduction = (1.4 + mainThread->previousTimeReduction) / (2.15 * timeReduction);
double bestMoveInstability = 1 + 1.7 * totBestMoveChanges / Threads.size();
int complexity = mainThread->complexityAverage.value();
double complexPosition = std::min(1.0 + (complexity - 277) / 1819.1, 1.5);
double complexPosition = std::min(1.0 + (complexity - 261) / 1738.7, 1.5);
double totalTime = Time.optimum() * fallingEval * reduction * bestMoveInstability * complexPosition;
@ -495,7 +495,7 @@ void Thread::search() {
}
else if ( Threads.increaseDepth
&& !mainThread->ponder
&& Time.elapsed() > totalTime * 0.43)
&& Time.elapsed() > totalTime * 0.53)
Threads.increaseDepth = false;
else
Threads.increaseDepth = true;
@ -760,7 +760,7 @@ namespace {
// Use static evaluation difference to improve quiet move ordering (~3 Elo)
if (is_ok((ss-1)->currentMove) && !(ss-1)->inCheck && !priorCapture)
{
int bonus = std::clamp(-16 * int((ss-1)->staticEval + ss->staticEval), -2000, 2000);
int bonus = std::clamp(-19 * int((ss-1)->staticEval + ss->staticEval), -1914, 1914);
thisThread->mainHistory[~us][from_to((ss-1)->currentMove)] << bonus;
}
@ -770,7 +770,7 @@ namespace {
// margin and the improving flag are used in various pruning heuristics.
improvement = (ss-2)->staticEval != VALUE_NONE ? ss->staticEval - (ss-2)->staticEval
: (ss-4)->staticEval != VALUE_NONE ? ss->staticEval - (ss-4)->staticEval
: 175;
: 168;
improving = improvement > 0;
// Step 7. Razoring.
@ -778,7 +778,7 @@ namespace {
// return a fail low.
if ( !PvNode
&& depth <= 7
&& eval < alpha - 341 - 267 * depth * depth)
&& eval < alpha - 369 - 254 * depth * depth)
{
value = qsearch<NonPV>(pos, ss, alpha - 1, alpha);
if (value < alpha)
@ -789,18 +789,18 @@ namespace {
// The depth condition is important for mate finding.
if ( !ss->ttPv
&& depth < 8
&& eval - futility_margin(depth, improving) - (ss-1)->statScore / 256 >= beta
&& eval - futility_margin(depth, improving) - (ss-1)->statScore / 303 >= beta
&& eval >= beta
&& eval < 26305) // larger than VALUE_KNOWN_WIN, but smaller than TB wins.
&& eval < 28031) // larger than VALUE_KNOWN_WIN, but smaller than TB wins.
return eval;
// Step 9. Null move search with verification search (~22 Elo)
if ( !PvNode
&& (ss-1)->currentMove != MOVE_NULL
&& (ss-1)->statScore < 15344
&& (ss-1)->statScore < 17139
&& eval >= beta
&& eval >= ss->staticEval
&& ss->staticEval >= beta - 15 * depth - improvement / 15 + 201 + complexity / 24
&& ss->staticEval >= beta - 20 * depth - improvement / 13 + 233 + complexity / 25
&& !excludedMove
&& pos.non_pawn_material(us)
&& (ss->ply >= thisThread->nmpMinPly || us != thisThread->nmpColor))
@ -808,7 +808,7 @@ namespace {
assert(eval - beta >= 0);
// Null move dynamic reduction based on depth, eval and complexity of position
Depth R = std::min(int(eval - beta) / 152, 5) + depth / 3 + 4 - (complexity > 650);
Depth R = std::min(int(eval - beta) / 168, 7) + depth / 3 + 4 - (complexity > 861);
ss->currentMove = MOVE_NULL;
ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
@ -844,7 +844,7 @@ namespace {
}
}
probCutBeta = beta + 173 - 46 * improving;
probCutBeta = beta + 191 - 54 * improving;
// Step 10. ProbCut (~4 Elo)
// If we have a good enough capture and a reduced search returns a value
@ -913,7 +913,7 @@ namespace {
moves_loop: // When in check, search starts here
// Step 12. A small Probcut idea, when we are in check (~0 Elo)
probCutBeta = beta + 481;
probCutBeta = beta + 417;
if ( ss->inCheck
&& !PvNode
&& depth >= 2
@ -1007,14 +1007,14 @@ moves_loop: // When in check, search starts here
if ( !pos.empty(to_sq(move))
&& !givesCheck
&& !PvNode
&& lmrDepth < 6
&& lmrDepth < 7
&& !ss->inCheck
&& ss->staticEval + 277 + 187 * lmrDepth + PieceValue[EG][pos.piece_on(to_sq(move))]
&& ss->staticEval + 180 + 201 * lmrDepth + PieceValue[EG][pos.piece_on(to_sq(move))]
+ captureHistory[movedPiece][to_sq(move)][type_of(pos.piece_on(to_sq(move)))] / 6 < alpha)
continue;
// SEE based pruning (~9 Elo)
if (!pos.see_ge(move, Value(-203) * depth))
if (!pos.see_ge(move, Value(-222) * depth))
continue;
}
else
@ -1032,12 +1032,12 @@ moves_loop: // When in check, search starts here
// Futility pruning: parent node (~9 Elo)
if ( !ss->inCheck
&& lmrDepth < 11
&& ss->staticEval + 122 + 138 * lmrDepth + history / 60 <= alpha)
&& lmrDepth < 13
&& ss->staticEval + 106 + 145 * lmrDepth + history / 52 <= alpha)
continue;
// Prune moves with negative SEE (~3 Elo)
if (!pos.see_ge(move, Value(-25 * lmrDepth * lmrDepth - 20 * lmrDepth)))
if (!pos.see_ge(move, Value(-24 * lmrDepth * lmrDepth - 15 * lmrDepth)))
continue;
}
}
@ -1052,7 +1052,7 @@ moves_loop: // When in check, search starts here
// a reduced search on all the other moves but the ttMove and if the
// result is lower than ttValue minus a margin, then we will extend the ttMove.
if ( !rootNode
&& depth >= 4 - (thisThread->previousDepth > 27) + 2 * (PvNode && tte->is_pv())
&& depth >= 4 - (thisThread->previousDepth > 24) + 2 * (PvNode && tte->is_pv())
&& move == ttMove
&& !excludedMove // Avoid recursive singular search
/* && ttValue != VALUE_NONE Already implicit in the next condition */
@ -1074,8 +1074,8 @@ moves_loop: // When in check, search starts here
// Avoid search explosion by limiting the number of double extensions
if ( !PvNode
&& value < singularBeta - 26
&& ss->doubleExtensions <= 8)
&& value < singularBeta - 25
&& ss->doubleExtensions <= 9)
extension = 2;
}
@ -1099,14 +1099,14 @@ moves_loop: // When in check, search starts here
// Check extensions (~1 Elo)
else if ( givesCheck
&& depth > 9
&& abs(ss->staticEval) > 71)
&& abs(ss->staticEval) > 82)
extension = 1;
// Quiet ttMove extensions (~0 Elo)
else if ( PvNode
&& move == ttMove
&& move == ss->killers[0]
&& (*contHist[0])[movedPiece][to_sq(move)] >= 5491)
&& (*contHist[0])[movedPiece][to_sq(move)] >= 5177)
extension = 1;
}
@ -1159,7 +1159,7 @@ moves_loop: // When in check, search starts here
// Decrease reduction for PvNodes based on depth
if (PvNode)
r -= 1 + 15 / (3 + depth);
r -= 1 + 11 / (3 + depth);
// Decrease reduction if ttMove has been singularly extended (~1 Elo)
if (singularQuietLMR)
@ -1173,10 +1173,10 @@ moves_loop: // When in check, search starts here
+ (*contHist[0])[movedPiece][to_sq(move)]
+ (*contHist[1])[movedPiece][to_sq(move)]
+ (*contHist[3])[movedPiece][to_sq(move)]
- 4560;
- 4433;
// Decrease/increase reduction for moves with a good/bad history (~30 Elo)
r -= ss->statScore / 15914;
r -= ss->statScore / 13628;
// In general we want to cap the LMR depth search at newDepth, but when
// reduction is negative, we allow this move a limited search extension
@ -1188,7 +1188,7 @@ moves_loop: // When in check, search starts here
// Do full depth search when reduced LMR search fails high
if (value > alpha && d < newDepth)
{
const bool doDeeperSearch = value > (alpha + 73 + 12 * (newDepth - d));
const bool doDeeperSearch = value > (alpha + 64 + 11 * (newDepth - d));
value = -search<NonPV>(pos, ss+1, -(alpha+1), -alpha, newDepth + doDeeperSearch, !cutNode);
int bonus = value > alpha ? stat_bonus(newDepth)
@ -1280,8 +1280,8 @@ moves_loop: // When in check, search starts here
alpha = value;
// Reduce other moves if we have found at least one score improvement
if ( depth > 2
&& depth < 7
if ( depth > 1
&& depth < 6
&& beta < VALUE_KNOWN_WIN
&& alpha > -VALUE_KNOWN_WIN)
depth -= 1;
@ -1344,7 +1344,7 @@ moves_loop: // When in check, search starts here
//or fail low was really bad
bool extraBonus = PvNode
|| cutNode
|| bestValue < alpha - 66 * depth;
|| bestValue < alpha - 62 * depth;
update_continuation_histories(ss-1, pos.piece_on(prevSq), prevSq, stat_bonus(depth) * (1 + extraBonus));
}
@ -1471,7 +1471,7 @@ moves_loop: // When in check, search starts here
if (PvNode && bestValue > alpha)
alpha = bestValue;
futilityBase = bestValue + 118;
futilityBase = bestValue + 153;
}
const PieceToHistory* contHist[] = { (ss-1)->continuationHistory, (ss-2)->continuationHistory,
@ -1675,8 +1675,8 @@ moves_loop: // When in check, search starts here
if (!pos.capture(bestMove))
{
int bonus2 = bestValue > beta + PawnValueMg ? bonus1 // larger bonus
: stat_bonus(depth); // smaller bonus
int bonus2 = bestValue > beta + 137 ? bonus1 // larger bonus
: stat_bonus(depth); // smaller bonus
// Increase stats for the best move in case it was a quiet move
update_quiet_stats(pos, ss, bestMove, bonus2);