/*
Stockfish, a UCI chess playing engine derived from Glaurung 2.1
- Copyright (C) 2004-2021 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
} // namespace Detail
// Initialize the evaluation function parameters
- void initialize() {
+ static void initialize() {
Detail::initialize(featureTransformer);
for (std::size_t i = 0; i < LayerStacks; ++i)
}
// Read network header
- bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc)
+ static bool read_header(std::istream& stream, std::uint32_t* hashValue, std::string* desc)
{
std::uint32_t version, size;
}
// Write network header
- bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc)
+ static bool write_header(std::ostream& stream, std::uint32_t hashValue, const std::string& desc)
{
write_little_endian<std::uint32_t>(stream, Version);
write_little_endian<std::uint32_t>(stream, hashValue);
- write_little_endian<std::uint32_t>(stream, desc.size());
+ write_little_endian<std::uint32_t>(stream, (std::uint32_t)desc.size());
stream.write(&desc[0], desc.size());
return !stream.fail();
}
// Read network parameters
- bool read_parameters(std::istream& stream) {
+ static bool read_parameters(std::istream& stream) {
std::uint32_t hashValue;
if (!read_header(stream, &hashValue, &netDescription)) return false;
}
// Write network parameters
- bool write_parameters(std::ostream& stream) {
+ static bool write_parameters(std::ostream& stream) {
if (!write_header(stream, HashValue, netDescription)) return false;
if (!Detail::write_parameters(stream, *featureTransformer)) return false;
}
// Evaluation function. Perform differential calculation.
- Value evaluate(const Position& pos, bool adjusted) {
+ Value evaluate(const Position& pos, bool adjusted, int* complexity) {
// We manually align the arrays on the stack because with gcc < 9.3
// overaligning stack variables with alignas() doesn't work correctly.
constexpr uint64_t alignment = CacheLineSize;
+ int delta = 24 - pos.non_pawn_material() / 9560;
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
- char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
- auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
- alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
- ASSERT_ALIGNED(buffer, alignment);
- const
std::size_t bucket = (pos.count<ALL_PIECES>() - 1) / 4;
+ const
int bucket = (pos.count<ALL_PIECES>() - 1) / 4;
const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
- const auto output = network[bucket]->propagate(transformedFeatures, buffer);
+ const auto positional = network[bucket]->propagate(transformedFeatures);
- int materialist = psqt;
- int positional = output[0];
+ if (complexity)
+ *complexity = abs(psqt - positional) / OutputScale;
- int delta_npm = abs(pos.non_pawn_material(WHITE) - pos.non_pawn_material(BLACK));
- int entertainment = (adjusted && delta_npm <= RookValueMg - BishopValueMg ? 7 : 0);
-
- int A = 128 - entertainment;
- int B = 128 + entertainment;
-
- int sum = (A * materialist + B * positional) / 128;
-
- return static_cast<Value>( sum / OutputScale );
+ // Give more value to positional evaluation when adjusted flag is set
+ if (adjusted)
+ return static_cast<Value>(((1024 - delta) * psqt + (1024 + delta) * positional) / (1024 * OutputScale));
+ else
+ return static_cast<Value>((psqt + positional) / OutputScale);
}
struct NnueEvalTrace {
#if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN)
TransformedFeatureType transformedFeaturesUnaligned[
FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)];
- char bufferUnaligned[Network::BufferSize + alignment];
auto* transformedFeatures = align_ptr_up<alignment>(&transformedFeaturesUnaligned[0]);
- auto* buffer = align_ptr_up<alignment>(&bufferUnaligned[0]);
#else
alignas(alignment)
TransformedFeatureType transformedFeatures[FeatureTransformer::BufferSize];
- alignas(alignment) char buffer[Network::BufferSize];
#endif
ASSERT_ALIGNED(transformedFeatures, alignment);
- ASSERT_ALIGNED(buffer, alignment);
NnueEvalTrace t{};
t.correctBucket = (pos.count<ALL_PIECES>() - 1) / 4;
- for (std::size_t bucket = 0; bucket < LayerStacks; ++bucket) {
- const auto psqt = featureTransformer->transform(pos, transformedFeatures, bucket);
- const auto output = network[bucket]->propagate(transformedFeatures, buffer);
-
- int materialist = psqt;
- int positional = output[0];
+ for (IndexType bucket = 0; bucket < LayerStacks; ++bucket) {
+ const auto materialist = featureTransformer->transform(pos, transformedFeatures, bucket);
+ const auto positional = network[bucket]->propagate(transformedFeatures);
t.psqt[bucket] = static_cast<Value>( materialist / OutputScale );
t.positional[bucket] = static_cast<Value>( positional / OutputScale );
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
- int cp = std::abs(100 * v / PawnValueEg);
+ int cp = std::abs(100 * v / UCI::NormalizeToPawnValue);
if (cp >= 10000)
{
buffer[1] = '0' + cp / 10000; cp %= 10000;
buffer[2] = '0' + cp / 1000; cp %= 1000;
- buffer[3] = '0' + cp / 100; cp %= 100;
+ buffer[3] = '0' + cp / 100;
buffer[4] = ' ';
}
else if (cp >= 1000)
buffer[0] = (v < 0 ? '-' : v > 0 ? '+' : ' ');
- double cp = 1.0 * std::abs(int(v)) / PawnValueEg;
+ double cp = 1.0 * std::abs(int(v)) / UCI::NormalizeToPawnValue;
sprintf(&buffer[1], "%6.2f", cp);
}
actualFilename = filename.value();
else
{
- if (eval_file_loaded != EvalFileDefaultName)
+ if (currentEvalFileName != EvalFileDefaultName)
{
msg = "Failed to export a net. A non-embedded net can only be saved if the filename is specified";
projects / stockfish / blobdiff