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Pass accumulator caches by reference

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closes https://github.com/official-stockfish/Stockfish/pull/6416

No functional change
This commit is contained in:
Shawn Xu
2025-11-14 17:32:17 +01:00
committed by Joost VandeVondele
parent a191791f46
commit db824e26be
5 changed files with 13 additions and 13 deletions
Download Patch File Download Diff File Expand all files Collapse all files
src/evaluate.cpp
+4 -4
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@@ -59,15 +59,15 @@ Value Eval::evaluate(const Eval::NNUE::Networks& networks,
assert(!pos.checkers());
bool smallNet = use_smallnet(pos);
auto [psqt, positional] = smallNet ? networks.small.evaluate(pos, accumulators, &caches.small)
: networks.big.evaluate(pos, accumulators, &caches.big);
auto [psqt, positional] = smallNet ? networks.small.evaluate(pos, accumulators, caches.small)
: networks.big.evaluate(pos, accumulators, caches.big);
Value nnue = (125 * psqt + 131 * positional) / 128;
// Re-evaluate the position when higher eval accuracy is worth the time spent
if (smallNet && (std::abs(nnue) < 236))
{
std::tie(psqt, positional) = networks.big.evaluate(pos, accumulators, &caches.big);
std::tie(psqt, positional) = networks.big.evaluate(pos, accumulators, caches.big);
nnue = (125 * psqt + 131 * positional) / 128;
smallNet = false;
}
@@ -107,7 +107,7 @@ std::string Eval::trace(Position& pos, const Eval::NNUE::Networks& networks) {
ss << std::showpoint << std::showpos << std::fixed << std::setprecision(2) << std::setw(15);
auto [psqt, positional] = networks.big.evaluate(pos, *accumulators, &caches->big);
auto [psqt, positional] = networks.big.evaluate(pos, *accumulators, caches->big);
Value v = psqt + positional;
v = pos.side_to_move() == WHITE ? v : -v;
ss << "NNUE evaluation " << 0.01 * UCIEngine::to_cp(v, pos) << " (white side)\n";
src/nnue/network.cpp
+2 -2
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@@ -172,7 +172,7 @@ template<typename Arch, typename Transformer>
NetworkOutput
Network<Arch, Transformer>::evaluate(const Position& pos,
AccumulatorStack& accumulatorStack,
AccumulatorCaches::Cache<FTDimensions>* cache) const {
AccumulatorCaches::Cache<FTDimensions>& cache) const {
constexpr uint64_t alignment = CacheLineSize;
@@ -234,7 +234,7 @@ template<typename Arch, typename Transformer>
NnueEvalTrace
Network<Arch, Transformer>::trace_evaluate(const Position& pos,
AccumulatorStack& accumulatorStack,
AccumulatorCaches::Cache<FTDimensions>* cache) const {
AccumulatorCaches::Cache<FTDimensions>& cache) const {
constexpr uint64_t alignment = CacheLineSize;
src/nnue/network.h
+2 -2
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@@ -76,13 +76,13 @@ class Network {
NetworkOutput evaluate(const Position& pos,
AccumulatorStack& accumulatorStack,
AccumulatorCaches::Cache<FTDimensions>* cache) const;
AccumulatorCaches::Cache<FTDimensions>& cache) const;
void verify(std::string evalfilePath, const std::function<void(std::string_view)>&) const;
NnueEvalTrace trace_evaluate(const Position& pos,
AccumulatorStack& accumulatorStack,
AccumulatorCaches::Cache<FTDimensions>* cache) const;
AccumulatorCaches::Cache<FTDimensions>& cache) const;
private:
void load_user_net(const std::string&, const std::string&);
src/nnue/nnue_feature_transformer.h
+2 -2
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@@ -264,12 +264,12 @@ class FeatureTransformer {
// Convert input features
std::int32_t transform(const Position& pos,
AccumulatorStack& accumulatorStack,
AccumulatorCaches::Cache<HalfDimensions>* cache,
AccumulatorCaches::Cache<HalfDimensions>& cache,
OutputType* output,
int bucket) const {
using namespace SIMD;
accumulatorStack.evaluate(pos, *this, *cache);
accumulatorStack.evaluate(pos, *this, cache);
const auto& accumulatorState = accumulatorStack.latest<PSQFeatureSet>();
const auto& threatAccumulatorState = accumulatorStack.latest<ThreatFeatureSet>();
src/nnue/nnue_misc.cpp
+3 -3
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@@ -124,7 +124,7 @@ trace(Position& pos, const Eval::NNUE::Networks& networks, Eval::NNUE::Accumulat
// We estimate the value of each piece by doing a differential evaluation from
// the current base eval, simulating the removal of the piece from its square.
auto [psqt, positional] = networks.big.evaluate(pos, *accumulators, &caches.big);
auto [psqt, positional] = networks.big.evaluate(pos, *accumulators, caches.big);
Value base = psqt + positional;
base = pos.side_to_move() == WHITE ? base : -base;
@@ -140,7 +140,7 @@ trace(Position& pos, const Eval::NNUE::Networks& networks, Eval::NNUE::Accumulat
pos.remove_piece(sq);
accumulators->reset();
std::tie(psqt, positional) = networks.big.evaluate(pos, *accumulators, &caches.big);
std::tie(psqt, positional) = networks.big.evaluate(pos, *accumulators, caches.big);
Value eval = psqt + positional;
eval = pos.side_to_move() == WHITE ? eval : -eval;
v = base - eval;
@@ -157,7 +157,7 @@ trace(Position& pos, const Eval::NNUE::Networks& networks, Eval::NNUE::Accumulat
ss << '\n';
accumulators->reset();
auto t = networks.big.trace_evaluate(pos, *accumulators, &caches.big);
auto t = networks.big.trace_evaluate(pos, *accumulators, caches.big);
ss << " NNUE network contributions "
<< (pos.side_to_move() == WHITE ? "(White to move)" : "(Black to move)") << std::endl