/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
- Copyright (C) 2004-2022 The Stockfish developers (see AUTHORS file)
+ Copyright (C) 2004-2023 The Stockfish developers (see AUTHORS file)
Stockfish is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
#define vec_zero() _mm_setzero_si64()
#define vec_set_16(a) _mm_set1_pi16(a)
inline vec_t vec_max_16(vec_t a,vec_t b){
- vec_t comparison = _mm_cmpgt_pi16(a,b);
- return _mm_or_si64(_mm_and_si64(comparison, a), _mm_andnot_si64(comparison, b));
+ vec_t comparison = _mm_cmpgt_pi16(a,b);
+ return _mm_or_si64(_mm_and_si64(comparison, a), _mm_andnot_si64(comparison, b));
}
inline vec_t vec_min_16(vec_t a,vec_t b){
- vec_t comparison = _mm_cmpgt_pi16(a,b);
- return _mm_or_si64(_mm_and_si64(comparison, b), _mm_andnot_si64(comparison, a));
+ vec_t comparison = _mm_cmpgt_pi16(a,b);
+ return _mm_or_si64(_mm_and_si64(comparison, b), _mm_andnot_si64(comparison, a));
}
#define vec_msb_pack_16(a,b) _mm_packs_pi16(_mm_srli_pi16(a,7),_mm_srli_pi16(b,7))
#define vec_load_psqt(a) (*(a))
#define vec_max_16(a,b) vmaxq_s16(a,b)
#define vec_min_16(a,b) vminq_s16(a,b)
inline vec_t vec_msb_pack_16(vec_t a, vec_t b){
- const int8x8_t shifta = vshrn_n_s16(a, 7);
- const int8x8_t shiftb = vshrn_n_s16(b, 7);
- const int8x16_t compacted = vcombine_s8(shifta,shiftb);
- return *reinterpret_cast<const vec_t*> (&compacted);
+ const int8x8_t shifta = vshrn_n_s16(a, 7);
+ const int8x8_t shiftb = vshrn_n_s16(b, 7);
+ const int8x16_t compacted = vcombine_s8(shifta,shiftb);
+ return *reinterpret_cast<const vec_t*> (&compacted);
}
#define vec_load_psqt(a) (*(a))
#define vec_store_psqt(a,b) *(a)=(b)
// Convert input features
std::int32_t transform(const Position& pos, OutputType* output, int bucket) const {
- update_accumulator(pos, WHITE);
- update_accumulator(pos, BLACK);
+ update_accumulator<WHITE>(pos);
+ update_accumulator<BLACK>(pos);
const Color perspectives[2] = {pos.side_to_move(), ~pos.side_to_move()};
const auto& accumulation = pos.state()->accumulator.accumulation;
#if defined(VECTOR)
- constexpr IndexType OutputChunkSize = MaxChunkSize;
+ constexpr IndexType OutputChunkSize = MaxChunkSize;
static_assert((HalfDimensions / 2) % OutputChunkSize == 0);
constexpr IndexType NumOutputChunks = HalfDimensions / 2 / OutputChunkSize;
private:
- void update_accumulator(const Position& pos, const Color perspective) const {
+ template<Color Perspective>
+ void update_accumulator(const Position& pos) const {
// The size must be enough to contain the largest possible update.
// That might depend on the feature set and generally relies on the
// of the estimated gain in terms of features to be added/subtracted.
StateInfo *st = pos.state(), *next = nullptr;
int gain = FeatureSet::refresh_cost(pos);
- while (st->previous && !st->accumulator.computed[perspective])
+ while (st->previous && !st->accumulator.computed[Perspective])
{
// This governs when a full feature refresh is needed and how many
// updates are better than just one full refresh.
- if ( FeatureSet::requires_refresh(st, perspective)
+ if ( FeatureSet::requires_refresh(st, Perspective)
|| (gain -= FeatureSet::update_cost(st) + 1) < 0)
break;
next = st;
st = st->previous;
}
- if (st->accumulator.computed[perspective])
+ if (st->accumulator.computed[Perspective])
{
if (next == nullptr)
return;
// accumulator. Then, we update the current accumulator (pos.state()).
// Gather all features to be updated.
- const Square ksq = pos.square<KING>(perspective);
+ const Square ksq = pos.square<KING>(Perspective);
FeatureSet::IndexList removed[2], added[2];
- FeatureSet::append_changed_indices(
- ksq, next->dirtyPiece, perspective, removed[0], added[0]);
+ FeatureSet::append_changed_indices<Perspective>(
+ ksq, next->dirtyPiece, removed[0], added[0]);
for (StateInfo *st2 = pos.state(); st2 != next; st2 = st2->previous)
- FeatureSet::append_changed_indices(
- ksq, st2->dirtyPiece, perspective, removed[1], added[1]);
+ FeatureSet::append_changed_indices<Perspective>(
+ ksq, st2->dirtyPiece, removed[1], added[1]);
// Mark the accumulators as computed.
- next->accumulator.computed[perspective] = true;
- pos.state()->accumulator.computed[perspective] = true;
+ next->accumulator.computed[Perspective] = true;
+ pos.state()->accumulator.computed[Perspective] = true;
// Now update the accumulators listed in states_to_update[], where the last element is a sentinel.
StateInfo *states_to_update[3] =
{
// Load accumulator
auto accTile = reinterpret_cast<vec_t*>(
- &st->accumulator.accumulation[perspective][j * TileHeight]);
+ &st->accumulator.accumulation[Perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
acc[k] = vec_load(&accTile[k]);
// Store accumulator
accTile = reinterpret_cast<vec_t*>(
- &states_to_update[i]->accumulator.accumulation[perspective][j * TileHeight]);
+ &states_to_update[i]->accumulator.accumulation[Perspective][j * TileHeight]);
for (IndexType k = 0; k < NumRegs; ++k)
vec_store(&accTile[k], acc[k]);
}
{
// Load accumulator
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>(
- &st->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
+ &st->accumulator.psqtAccumulation[Perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
psqt[k] = vec_load_psqt(&accTilePsqt[k]);
// Store accumulator
accTilePsqt = reinterpret_cast<psqt_vec_t*>(
- &states_to_update[i]->accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
+ &states_to_update[i]->accumulator.psqtAccumulation[Perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqt[k], psqt[k]);
}
#else
for (IndexType i = 0; states_to_update[i]; ++i)
{
- std::memcpy(states_to_update[i]->accumulator.accumulation[perspective],
- st->accumulator.accumulation[perspective],
+ std::memcpy(states_to_update[i]->accumulator.accumulation[Perspective],
+ st->accumulator.accumulation[Perspective],
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
- states_to_update[i]->accumulator.psqtAccumulation[perspective][k] = st->accumulator.psqtAccumulation[perspective][k];
+ states_to_update[i]->accumulator.psqtAccumulation[Perspective][k] = st->accumulator.psqtAccumulation[Perspective][k];
st = states_to_update[i];
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
- st->accumulator.accumulation[perspective][j] -= weights[offset + j];
+ st->accumulator.accumulation[Perspective][j] -= weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
- st->accumulator.psqtAccumulation[perspective][k] -= psqtWeights[index * PSQTBuckets + k];
+ st->accumulator.psqtAccumulation[Perspective][k] -= psqtWeights[index * PSQTBuckets + k];
}
// Difference calculation for the activated features
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
- st->accumulator.accumulation[perspective][j] += weights[offset + j];
+ st->accumulator.accumulation[Perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
- st->accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
+ st->accumulator.psqtAccumulation[Perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
}
#endif
{
// Refresh the accumulator
auto& accumulator = pos.state()->accumulator;
- accumulator.computed[perspective] = true;
+ accumulator.computed[Perspective] = true;
FeatureSet::IndexList active;
- FeatureSet::append_active_indices(pos, perspective, active);
+ FeatureSet::append_active_indices<Perspective>(pos, active);
#ifdef VECTOR
for (IndexType j = 0; j < HalfDimensions / TileHeight; ++j)
}
auto accTile = reinterpret_cast<vec_t*>(
- &accumulator.accumulation[perspective][j * TileHeight]);
+ &accumulator.accumulation[Perspective][j * TileHeight]);
for (unsigned k = 0; k < NumRegs; k++)
vec_store(&accTile[k], acc[k]);
}
}
auto accTilePsqt = reinterpret_cast<psqt_vec_t*>(
- &accumulator.psqtAccumulation[perspective][j * PsqtTileHeight]);
+ &accumulator.psqtAccumulation[Perspective][j * PsqtTileHeight]);
for (std::size_t k = 0; k < NumPsqtRegs; ++k)
vec_store_psqt(&accTilePsqt[k], psqt[k]);
}
#else
- std::memcpy(accumulator.accumulation[perspective], biases,
+ std::memcpy(accumulator.accumulation[Perspective], biases,
HalfDimensions * sizeof(BiasType));
for (std::size_t k = 0; k < PSQTBuckets; ++k)
- accumulator.psqtAccumulation[perspective][k] = 0;
+ accumulator.psqtAccumulation[Perspective][k] = 0;
for (const auto index : active)
{
const IndexType offset = HalfDimensions * index;
for (IndexType j = 0; j < HalfDimensions; ++j)
- accumulator.accumulation[perspective][j] += weights[offset + j];
+ accumulator.accumulation[Perspective][j] += weights[offset + j];
for (std::size_t k = 0; k < PSQTBuckets; ++k)
- accumulator.psqtAccumulation[perspective][k] += psqtWeights[index * PSQTBuckets + k];
+ accumulator.psqtAccumulation[Perspective][k] += psqtWeights[index * PSQTBuckets + k];
}
#endif
}
projects / stockfish / blobdiff