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https://github.com/sockspls/badfish
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Simplify limiting extensions.
Replace the current method for limiting extensions to avoid search getting stuck
with a much simpler method.
the test position in 73018a0337
can still be searched without stuck search.
fixes #3815 where the search now makes progress with rootDepth
shows robust behavior in a d10 search for 1M positions.
passed STC
https://tests.stockfishchess.org/tests/view/61e303e3babab931824dfb18
LLR: 2.94 (-2.94,2.94) <-2.25,0.25>
Total: 57568 W: 15449 L: 15327 D: 26792
Ptnml(0-2): 243, 6211, 15779, 6283, 268
passed LTC
https://tests.stockfishchess.org/tests/view/61e3586cbabab931824e091c
LLR: 2.96 (-2.94,2.94) <-2.25,0.25>
Total: 128200 W: 34632 L: 34613 D: 58955
Ptnml(0-2): 124, 12559, 38710, 12588, 119
closes https://github.com/official-stockfish/Stockfish/pull/3899
Bench: 4550528
This commit is contained in:
parent
77cf5704b6
commit
9083050be6
2 changed files with 59 additions and 100 deletions
152
src/search.cpp
152
src/search.cpp
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@ -88,30 +88,6 @@ namespace {
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return VALUE_DRAW + Value(2 * (thisThread->nodes & 1) - 1);
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}
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// Check if the current thread is in a search explosion
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ExplosionState search_explosion(Thread* thisThread) {
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uint64_t nodesNow = thisThread->nodes;
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bool explosive = thisThread->doubleExtensionAverage[WHITE].is_greater(2, 100)
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|| thisThread->doubleExtensionAverage[BLACK].is_greater(2, 100);
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if (explosive)
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thisThread->nodesLastExplosive = nodesNow;
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else
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thisThread->nodesLastNormal = nodesNow;
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if ( explosive
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&& thisThread->state == EXPLOSION_NONE
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&& nodesNow - thisThread->nodesLastNormal > 6000000)
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thisThread->state = MUST_CALM_DOWN;
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if ( thisThread->state == MUST_CALM_DOWN
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&& nodesNow - thisThread->nodesLastExplosive > 6000000)
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thisThread->state = EXPLOSION_NONE;
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return thisThread->state;
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}
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// Skill structure is used to implement strength limit. If we have an uci_elo then
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// we convert it to a suitable fractional skill level using anchoring to CCRL Elo
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// (goldfish 1.13 = 2000) and a fit through Ordo derived Elo for match (TC 60+0.6)
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@ -327,16 +303,11 @@ void Thread::search() {
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multiPV = std::min(multiPV, rootMoves.size());
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doubleExtensionAverage[WHITE].set(0, 100); // initialize the running average at 0%
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doubleExtensionAverage[BLACK].set(0, 100); // initialize the running average at 0%
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complexityAverage.set(232, 1);
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nodesLastExplosive = nodes;
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nodesLastNormal = nodes;
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state = EXPLOSION_NONE;
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trend = SCORE_ZERO;
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optimism[ us] = Value(25);
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optimism[~us] = -optimism[us];
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trend = SCORE_ZERO;
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optimism[ us] = Value(25);
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optimism[~us] = -optimism[us];
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int searchAgainCounter = 0;
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@ -548,14 +519,6 @@ namespace {
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template <NodeType nodeType>
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Value search(Position& pos, Stack* ss, Value alpha, Value beta, Depth depth, bool cutNode) {
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Thread* thisThread = pos.this_thread();
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// Step 0. Limit search explosion
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if ( ss->ply > 10
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&& search_explosion(thisThread) == MUST_CALM_DOWN
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&& depth > (ss-1)->depth)
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depth = (ss-1)->depth;
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constexpr bool PvNode = nodeType != NonPV;
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constexpr bool rootNode = nodeType == Root;
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const Depth maxNextDepth = rootNode ? depth : depth + 1;
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@ -596,6 +559,7 @@ namespace {
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int moveCount, captureCount, quietCount, bestMoveCount, improvement, complexity;
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// Step 1. Initialize node
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Thread* thisThread = pos.this_thread();
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ss->inCheck = pos.checkers();
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priorCapture = pos.captured_piece();
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Color us = pos.side_to_move();
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@ -643,9 +607,6 @@ namespace {
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ss->depth = depth;
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Square prevSq = to_sq((ss-1)->currentMove);
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// Update the running average statistics for double extensions
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thisThread->doubleExtensionAverage[us].update(ss->depth > (ss-1)->depth);
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// Initialize statScore to zero for the grandchildren of the current position.
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// So statScore is shared between all grandchildren and only the first grandchild
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// starts with statScore = 0. Later grandchildren start with the last calculated
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@ -1077,65 +1038,68 @@ moves_loop: // When in check, search starts here
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}
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// Step 14. Extensions (~66 Elo)
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// Singular extension search (~58 Elo). If all moves but one fail low on a
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// search of (alpha-s, beta-s), and just one fails high on (alpha, beta),
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// then that move is singular and should be extended. To verify this we do
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// a reduced search on all the other moves but the ttMove and if the
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// result is lower than ttValue minus a margin, then we will extend the ttMove.
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if ( !rootNode
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&& depth >= 6 + 2 * (PvNode && tte->is_pv())
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&& move == ttMove
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&& !excludedMove // Avoid recursive singular search
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/* && ttValue != VALUE_NONE Already implicit in the next condition */
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&& abs(ttValue) < VALUE_KNOWN_WIN
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&& (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 3)
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// We take care to not overdo to avoid search getting stuck.
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if (ss->ply < thisThread->rootDepth * 2)
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{
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Value singularBeta = ttValue - 3 * depth;
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Depth singularDepth = (depth - 1) / 2;
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ss->excludedMove = move;
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value = search<NonPV>(pos, ss, singularBeta - 1, singularBeta, singularDepth, cutNode);
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ss->excludedMove = MOVE_NONE;
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if (value < singularBeta)
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// Singular extension search (~58 Elo). If all moves but one fail low on a
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// search of (alpha-s, beta-s), and just one fails high on (alpha, beta),
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// then that move is singular and should be extended. To verify this we do
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// a reduced search on all the other moves but the ttMove and if the
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// result is lower than ttValue minus a margin, then we will extend the ttMove.
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if ( !rootNode
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&& depth >= 6 + 2 * (PvNode && tte->is_pv())
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&& move == ttMove
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&& !excludedMove // Avoid recursive singular search
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/* && ttValue != VALUE_NONE Already implicit in the next condition */
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&& abs(ttValue) < VALUE_KNOWN_WIN
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&& (tte->bound() & BOUND_LOWER)
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&& tte->depth() >= depth - 3)
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{
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extension = 1;
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Value singularBeta = ttValue - 3 * depth;
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Depth singularDepth = (depth - 1) / 2;
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// Avoid search explosion by limiting the number of double extensions
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if ( !PvNode
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&& value < singularBeta - 75
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&& ss->doubleExtensions <= 6)
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extension = 2;
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ss->excludedMove = move;
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value = search<NonPV>(pos, ss, singularBeta - 1, singularBeta, singularDepth, cutNode);
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ss->excludedMove = MOVE_NONE;
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if (value < singularBeta)
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{
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extension = 1;
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// Avoid search explosion by limiting the number of double extensions
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if ( !PvNode
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&& value < singularBeta - 75
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&& ss->doubleExtensions <= 6)
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extension = 2;
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}
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// Multi-cut pruning
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// Our ttMove is assumed to fail high, and now we failed high also on a reduced
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// search without the ttMove. So we assume this expected Cut-node is not singular,
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// that multiple moves fail high, and we can prune the whole subtree by returning
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// a soft bound.
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else if (singularBeta >= beta)
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return singularBeta;
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// If the eval of ttMove is greater than beta, we reduce it (negative extension)
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else if (ttValue >= beta)
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extension = -2;
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}
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// Multi-cut pruning
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// Our ttMove is assumed to fail high, and now we failed high also on a reduced
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// search without the ttMove. So we assume this expected Cut-node is not singular,
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// that multiple moves fail high, and we can prune the whole subtree by returning
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// a soft bound.
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else if (singularBeta >= beta)
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return singularBeta;
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// Check extensions (~1 Elo)
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else if ( givesCheck
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&& depth > 6
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&& abs(ss->staticEval) > 100)
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extension = 1;
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// If the eval of ttMove is greater than beta, we reduce it (negative extension)
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else if (ttValue >= beta)
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extension = -2;
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// Quiet ttMove extensions (~0 Elo)
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else if ( PvNode
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&& move == ttMove
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&& move == ss->killers[0]
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&& (*contHist[0])[movedPiece][to_sq(move)] >= 10000)
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extension = 1;
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}
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// Check extensions (~1 Elo)
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else if ( givesCheck
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&& depth > 6
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&& abs(ss->staticEval) > 100)
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extension = 1;
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// Quiet ttMove extensions (~0 Elo)
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else if ( PvNode
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&& move == ttMove
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&& move == ss->killers[0]
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&& (*contHist[0])[movedPiece][to_sq(move)] >= 10000)
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extension = 1;
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// Add extension to new depth
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newDepth += extension;
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ss->doubleExtensions = (ss-1)->doubleExtensions + (extension == 2);
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@ -60,16 +60,11 @@ public:
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Pawns::Table pawnsTable;
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Material::Table materialTable;
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size_t pvIdx, pvLast;
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RunningAverage doubleExtensionAverage[COLOR_NB];
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RunningAverage complexityAverage;
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uint64_t nodesLastExplosive;
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uint64_t nodesLastNormal;
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std::atomic<uint64_t> nodes, tbHits, bestMoveChanges;
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Value bestValue;
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int selDepth, nmpMinPly;
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Color nmpColor;
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ExplosionState state;
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Value optimism[COLOR_NB];
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Value bestValue, optimism[COLOR_NB];
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Position rootPos;
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StateInfo rootState;
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