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Tuned values for search constants

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Tuned search constants after many search patches since the last
successful tune.

1st LTC @ 60+0.6 th 1 :
LLR: 2.97 (-2.94,2.94) {0.25,1.75}
Total: 57656 W: 7369 L: 7036 D: 43251
Ptnml(0-2): 393, 5214, 17336, 5437, 448
https://tests.stockfishchess.org/tests/view/5ee1e074f29b40b0fc95af19

SMP LTC @ 20+0.2 th 8 :
LLR: 2.95 (-2.94,2.94) {0.25,1.75}
Total: 83576 W: 9731 L: 9341 D: 64504
Ptnml(0-2): 464, 7062, 26369, 7406, 487
https://tests.stockfishchess.org/tests/view/5ee35a21f29b40b0fc95b008

The changes were rebased on top of a successful patch by Viz (see #2734)
and two different ways of doing this were tested. The successful test
modified the constants in the patch by Viz in a similar manner to the
tuning run:

LTC (rebased) @ 60+0.6 th 1 :
LLR: 2.94 (-2.94,2.94) {0.25,1.75}
Total: 193384 W: 24241 L: 23521 D: 145622
Ptnml(0-2): 1309, 17497, 58472, 17993, 1421
https://tests.stockfishchess.org/tests/view/5ee43319ca6c451633a995f9

Further work: the recent patch to quantize eval #2733 affects search quit
quite a bit, so doing another tune in, say, three months time might be a
good idea.

closes https://github.com/official-stockfish/Stockfish/pull/2735

Bench 4246971
This commit is contained in:
xoto10 2020-06-13 09:54:07 +01:00 • committed by Stéphane Nicolet
parent 4d657618e9
commit 42b7dbcb5e
1 changed files with 29 additions and 29 deletions
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58
src/search.cpp
View file

@ -65,9 +65,9 @@ namespace {
constexpr uint64_t TtHitAverageResolution = 1024;
// Razor and futility margins
constexpr int RazorMargin = 531;
constexpr int RazorMargin = 516;
Value futility_margin(Depth d, bool improving) {
return Value(217 * (d - improving));
return Value(224 * (d - improving));
}
// Reductions lookup table, initialized at startup
@ -75,16 +75,16 @@ namespace {
Depth reduction(bool i, Depth d, int mn) {
int r = Reductions[d] * Reductions[mn];
return (r + 511) / 1024 + (!i && r > 1007);
return (r + 529) / 1024 + (!i && r > 1050);
}
constexpr int futility_move_count(bool improving, Depth depth) {
return (4 + depth * depth) / (2 - improving);
return (3 + depth * depth) / (2 - improving);
}
// History and stats update bonus, based on depth
int stat_bonus(Depth d) {
return d > 15 ? -8 : 19 * d * d + 155 * d - 132;
return d > 15 ? 28 : 19 * d * d + 135 * d - 136;
}
// Add a small random component to draw evaluations to avoid 3fold-blindness
@ -194,7 +194,7 @@ namespace {
void Search::init() {
for (int i = 1; i < MAX_MOVES; ++i)
Reductions[i] = int((24.8 + std::log(Threads.size())) * std::log(i));
Reductions[i] = int((24.9 + std::log(Threads.size())) * std::log(i));
}
@ -408,7 +408,7 @@ void Thread::search() {
beta = std::min(prev + delta, VALUE_INFINITE);
// Adjust contempt based on root move's previousScore (dynamic contempt)
int dct = ct + (102 - ct / 2) * prev / (abs(prev) + 157);
int dct = ct + (104 - ct / 2) * prev / (abs(prev) + 143);
contempt = (us == WHITE ? make_score(dct, dct / 2)
: -make_score(dct, dct / 2));
@ -506,13 +506,13 @@ void Thread::search() {
&& !Threads.stop
&& !mainThread->stopOnPonderhit)
{
double fallingEval = (332 + 6 * (mainThread->bestPreviousScore - bestValue)
+ 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 704.0;
double fallingEval = (293 + 6 * (mainThread->bestPreviousScore - bestValue)
+ 6 * (mainThread->iterValue[iterIdx] - bestValue)) / 742.0;
fallingEval = Utility::clamp(fallingEval, 0.5, 1.5);
// If the bestMove is stable over several iterations, reduce time accordingly
timeReduction = lastBestMoveDepth + 9 < completedDepth ? 1.94 : 0.91;
double reduction = (1.41 + mainThread->previousTimeReduction) / (2.27 * timeReduction);
timeReduction = lastBestMoveDepth + 10 < completedDepth ? 1.93 : 0.96;
double reduction = (1.36 + mainThread->previousTimeReduction) / (2.21 * timeReduction);
// Use part of the gained time from a previous stable move for the current move
for (Thread* th : Threads)
@ -537,7 +537,7 @@ void Thread::search() {
}
else if ( Threads.increaseDepth
&& !mainThread->ponder
&& Time.elapsed() > totalTime * 0.6)
&& Time.elapsed() > totalTime * 0.57)
Threads.increaseDepth = false;
else
Threads.increaseDepth = true;
@ -819,10 +819,10 @@ namespace {
// Step 9. Null move search with verification search (~40 Elo)
if ( !PvNode
&& (ss-1)->currentMove != MOVE_NULL
&& (ss-1)->statScore < 23397
&& (ss-1)->statScore < 24714
&& eval >= beta
&& eval >= ss->staticEval
&& ss->staticEval >= beta - 32 * depth - 30 * improving + 120 * ttPv + 292
&& ss->staticEval >= beta - 29 * depth - 31 * improving + 119 * ttPv + 299
&& !excludedMove
&& pos.non_pawn_material(us)
&& (ss->ply >= thisThread->nmpMinPly || us != thisThread->nmpColor))
@ -830,7 +830,7 @@ namespace {
assert(eval - beta >= 0);
// Null move dynamic reduction based on depth and value
Depth R = (854 + 68 * depth) / 258 + std::min(int(eval - beta) / 192, 3);
Depth R = (793 + 70 * depth) / 252 + std::min(int(eval - beta) / 192, 3);
ss->currentMove = MOVE_NULL;
ss->continuationHistory = &thisThread->continuationHistory[0][0][NO_PIECE][0];
@ -870,10 +870,10 @@ namespace {
// If we have a good enough capture and a reduced search returns a value
// much above beta, we can (almost) safely prune the previous move.
if ( !PvNode
&& depth >= 5
&& depth > 5
&& abs(beta) < VALUE_TB_WIN_IN_MAX_PLY)
{
Value raisedBeta = beta + 189 - 45 * improving;
Value raisedBeta = beta + 182 - 48 * improving;
assert(raisedBeta < VALUE_INFINITE);
MovePicker mp(pos, ttMove, raisedBeta - ss->staticEval, &captureHistory);
int probCutCount = 0;
@ -904,7 +904,7 @@ namespace {
// If the qsearch held, perform the regular search
if (value >= raisedBeta)
value = -search<NonPV>(pos, ss+1, -raisedBeta, -raisedBeta+1, depth - 4, !cutNode);
value = -search<NonPV>(pos, ss+1, -raisedBeta, -raisedBeta+1, depth - 5, !cutNode);
pos.undo_move(move);
@ -1003,15 +1003,15 @@ moves_loop: // When in check, search starts from here
// Futility pruning: parent node (~5 Elo)
if ( lmrDepth < 6
&& !ss->inCheck
&& ss->staticEval + 235 + 172 * lmrDepth <= alpha
&& ss->staticEval + 252 + 176 * lmrDepth <= alpha
&& (*contHist[0])[movedPiece][to_sq(move)]
+ (*contHist[1])[movedPiece][to_sq(move)]
+ (*contHist[3])[movedPiece][to_sq(move)]
+ (*contHist[5])[movedPiece][to_sq(move)] / 2 < 31400)
+ (*contHist[5])[movedPiece][to_sq(move)] / 2 < 30251)
continue;
// Prune moves with negative SEE (~20 Elo)
if (!pos.see_ge(move, Value(-(32 - std::min(lmrDepth, 18)) * lmrDepth * lmrDepth)))
if (!pos.see_ge(move, Value(-(31 - std::min(lmrDepth, 18)) * lmrDepth * lmrDepth)))
continue;
}
else
@ -1027,11 +1027,11 @@ moves_loop: // When in check, search starts from here
&& lmrDepth < 6
&& !(PvNode && abs(bestValue) < 2)
&& !ss->inCheck
&& ss->staticEval + 270 + 384 * lmrDepth + PieceValue[MG][type_of(pos.piece_on(to_sq(move)))] <= alpha)
&& ss->staticEval + 264 + 397 * lmrDepth + PieceValue[MG][type_of(pos.piece_on(to_sq(move)))] <= alpha)
continue;
// See based pruning
if (!pos.see_ge(move, Value(-194) * depth)) // (~25 Elo)
if (!pos.see_ge(move, Value(-192) * depth)) // (~25 Elo)
continue;
}
}
@ -1144,12 +1144,12 @@ moves_loop: // When in check, search starts from here
|| moveCountPruning
|| ss->staticEval + PieceValue[EG][pos.captured_piece()] <= alpha
|| cutNode
|| thisThread->ttHitAverage < 375 * TtHitAverageResolution * TtHitAverageWindow / 1024))
|| thisThread->ttHitAverage < 399 * TtHitAverageResolution * TtHitAverageWindow / 1024))
{
Depth r = reduction(improving, depth, moveCount);
// Decrease reduction if the ttHit running average is large
if (thisThread->ttHitAverage > 500 * TtHitAverageResolution * TtHitAverageWindow / 1024)
if (thisThread->ttHitAverage > 492 * TtHitAverageResolution * TtHitAverageWindow / 1024)
r--;
// Reduction if other threads are searching this position.
@ -1195,14 +1195,14 @@ moves_loop: // When in check, search starts from here
- 4926;
// Decrease/increase reduction by comparing opponent's stat score (~10 Elo)
if (ss->statScore >= -102 && (ss-1)->statScore < -114)
if (ss->statScore >= -99 && (ss-1)->statScore < -116)
r--;
else if ((ss-1)->statScore >= -116 && ss->statScore < -154)
else if ((ss-1)->statScore >= -117 && ss->statScore < -150)
r++;
// Decrease/increase reduction for moves with a good/bad history (~30 Elo)
r -= ss->statScore / 16434;
r -= ss->statScore / 15896;
}
else
{
@ -1474,7 +1474,7 @@ moves_loop: // When in check, search starts from here
if (PvNode && bestValue > alpha)
alpha = bestValue;
futilityBase = bestValue + 154;
futilityBase = bestValue + 138;
}
const PieceToHistory* contHist[] = { (ss-1)->continuationHistory, (ss-2)->continuationHistory,