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https://github.com/sockspls/badfish
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Use incremental updates more often
Use incremental updates for accumulators for up to 2 plies. Do not copy accumulator. About 2% speedup. Passed STC: LLR: 2.95 (-2.94,2.94) {-0.25,1.25} Total: 21752 W: 2583 L: 2403 D: 16766 Ptnml(0-2): 128, 1761, 6923, 1931, 133 https://tests.stockfishchess.org/tests/view/5f7150cf3b22d6afa5069412 closes https://github.com/official-stockfish/Stockfish/pull/3157 No functional change
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4 changed files with 87 additions and 30 deletions
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@ -61,26 +61,69 @@ namespace Eval::NNUE::Features {
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const PositionType& pos, TriggerEvent trigger,
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IndexListType removed[2], IndexListType added[2], bool reset[2]) {
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const auto& dp = pos.state()->dirtyPiece;
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if (dp.dirty_num == 0) return;
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for (Color perspective : { WHITE, BLACK }) {
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reset[perspective] = false;
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switch (trigger) {
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case TriggerEvent::kFriendKingMoved:
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reset[perspective] = dp.piece[0] == make_piece(perspective, KING);
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break;
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default:
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assert(false);
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break;
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auto collect_for_one = [&](const DirtyPiece& dp) {
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for (Color perspective : { WHITE, BLACK }) {
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switch (trigger) {
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case TriggerEvent::kFriendKingMoved:
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reset[perspective] = dp.piece[0] == make_piece(perspective, KING);
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break;
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default:
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assert(false);
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break;
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}
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if (reset[perspective]) {
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Derived::CollectActiveIndices(
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pos, trigger, perspective, &added[perspective]);
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} else {
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Derived::CollectChangedIndices(
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pos, dp, trigger, perspective,
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&removed[perspective], &added[perspective]);
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}
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}
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if (reset[perspective]) {
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Derived::CollectActiveIndices(
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pos, trigger, perspective, &added[perspective]);
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};
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auto collect_for_two = [&](const DirtyPiece& dp1, const DirtyPiece& dp2) {
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for (Color perspective : { WHITE, BLACK }) {
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switch (trigger) {
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case TriggerEvent::kFriendKingMoved:
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reset[perspective] = dp1.piece[0] == make_piece(perspective, KING)
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|| dp2.piece[0] == make_piece(perspective, KING);
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break;
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default:
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assert(false);
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break;
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}
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if (reset[perspective]) {
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Derived::CollectActiveIndices(
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pos, trigger, perspective, &added[perspective]);
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} else {
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Derived::CollectChangedIndices(
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pos, dp1, trigger, perspective,
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&removed[perspective], &added[perspective]);
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Derived::CollectChangedIndices(
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pos, dp2, trigger, perspective,
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&removed[perspective], &added[perspective]);
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}
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}
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};
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if (pos.state()->previous->accumulator.computed_accumulation) {
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const auto& prev_dp = pos.state()->dirtyPiece;
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if (prev_dp.dirty_num == 0) return;
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collect_for_one(prev_dp);
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} else {
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const auto& prev_dp = pos.state()->previous->dirtyPiece;
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if (prev_dp.dirty_num == 0) {
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const auto& prev2_dp = pos.state()->dirtyPiece;
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if (prev2_dp.dirty_num == 0) return;
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collect_for_one(prev2_dp);
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} else {
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Derived::CollectChangedIndices(
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pos, trigger, perspective,
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&removed[perspective], &added[perspective]);
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const auto& prev2_dp = pos.state()->dirtyPiece;
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if (prev2_dp.dirty_num == 0) {
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collect_for_one(prev_dp);
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} else {
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collect_for_two(prev_dp, prev2_dp);
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}
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}
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}
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}
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@ -115,11 +158,11 @@ namespace Eval::NNUE::Features {
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// Get a list of indices for recently changed features
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static void CollectChangedIndices(
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const Position& pos, const TriggerEvent trigger, const Color perspective,
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const Position& pos, const DirtyPiece& dp, const TriggerEvent trigger, const Color perspective,
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IndexList* const removed, IndexList* const added) {
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if (FeatureType::kRefreshTrigger == trigger) {
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FeatureType::AppendChangedIndices(pos, perspective, removed, added);
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FeatureType::AppendChangedIndices(pos, dp, perspective, removed, added);
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}
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}
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@ -52,11 +52,10 @@ namespace Eval::NNUE::Features {
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// Get a list of indices for recently changed features
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template <Side AssociatedKing>
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void HalfKP<AssociatedKing>::AppendChangedIndices(
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const Position& pos, Color perspective,
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const Position& pos, const DirtyPiece& dp, Color perspective,
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IndexList* removed, IndexList* added) {
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Square ksq = orient(perspective, pos.square<KING>(perspective));
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const auto& dp = pos.state()->dirtyPiece;
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for (int i = 0; i < dp.dirty_num; ++i) {
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Piece pc = dp.piece[i];
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if (type_of(pc) == KING) continue;
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@ -50,7 +50,7 @@ namespace Eval::NNUE::Features {
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IndexList* active);
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// Get a list of indices for recently changed features
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static void AppendChangedIndices(const Position& pos, Color perspective,
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static void AppendChangedIndices(const Position& pos, const DirtyPiece& dp, Color perspective,
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IndexList* removed, IndexList* added);
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private:
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@ -127,9 +127,14 @@ namespace Eval::NNUE {
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return true;
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const auto prev = now->previous;
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if (prev && prev->accumulator.computed_accumulation) {
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UpdateAccumulator(pos);
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return true;
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if (prev) {
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if (prev->accumulator.computed_accumulation) {
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UpdateAccumulator(pos);
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return true;
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} else if (prev->previous && prev->previous->accumulator.computed_accumulation) {
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UpdateAccumulator(pos);
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return true;
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}
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}
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return false;
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@ -289,11 +294,21 @@ namespace Eval::NNUE {
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// Calculate cumulative value using difference calculation
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void UpdateAccumulator(const Position& pos) const {
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const auto prev_accumulator = pos.state()->previous->accumulator;
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Accumulator* prev_accumulator;
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assert(pos.state()->previous);
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if (pos.state()->previous->accumulator.computed_accumulation) {
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prev_accumulator = &pos.state()->previous->accumulator;
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}
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else {
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assert(pos.state()->previous->previous);
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assert(pos.state()->previous->previous->accumulator.computed_accumulation);
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prev_accumulator = &pos.state()->previous->previous->accumulator;
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}
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auto& accumulator = pos.state()->accumulator;
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IndexType i = 0;
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Features::IndexList removed_indices[2], added_indices[2];
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bool reset[2];
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bool reset[2] = { false, false };
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RawFeatures::AppendChangedIndices(pos, kRefreshTriggers[i],
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removed_indices, added_indices, reset);
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@ -311,7 +326,7 @@ namespace Eval::NNUE {
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acc[k] = biasesTile[k];
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} else {
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auto prevAccTile = reinterpret_cast<const vec_t*>(
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&prev_accumulator.accumulation[perspective][i][j * kTileHeight]);
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&prev_accumulator->accumulation[perspective][i][j * kTileHeight]);
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for (IndexType k = 0; k < kNumRegs; ++k)
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acc[k] = vec_load(&prevAccTile[k]);
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@ -350,7 +365,7 @@ namespace Eval::NNUE {
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kHalfDimensions * sizeof(BiasType));
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} else {
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std::memcpy(accumulator.accumulation[perspective][i],
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prev_accumulator.accumulation[perspective][i],
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prev_accumulator->accumulation[perspective][i],
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kHalfDimensions * sizeof(BiasType));
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// Difference calculation for the deactivated features
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for (const auto index : removed_indices[perspective]) {
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