X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fnnue%2Fevaluate_nnue.cpp;h=a06c1978517b34bede52f8fd873ee85913505b43;hb=31acd6bab70f4661316986c2c93163d39736fd61;hp=891f8faad021c46e298b0ee481765e0aff915405;hpb=b51b094419e301b16ce8f639952993dd9abfcc43;p=stockfish diff --git a/src/nnue/evaluate_nnue.cpp b/src/nnue/evaluate_nnue.cpp index 891f8faa..a06c1978 100644 --- a/src/nnue/evaluate_nnue.cpp +++ b/src/nnue/evaluate_nnue.cpp @@ -1,6 +1,6 @@ /* 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 @@ -83,7 +83,7 @@ namespace Stockfish::Eval::NNUE { } // namespace Detail // Initialize the evaluation function parameters - void initialize() { + static void initialize() { Detail::initialize(featureTransformer); for (std::size_t i = 0; i < LayerStacks; ++i) @@ -91,7 +91,7 @@ namespace Stockfish::Eval::NNUE { } // 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; @@ -105,17 +105,17 @@ namespace Stockfish::Eval::NNUE { } // 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(stream, Version); write_little_endian(stream, hashValue); - write_little_endian(stream, desc.size()); + write_little_endian(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; @@ -127,7 +127,7 @@ namespace Stockfish::Eval::NNUE { } // 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; @@ -137,45 +137,38 @@ namespace Stockfish::Eval::NNUE { } // 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(&transformedFeaturesUnaligned[0]); - auto* buffer = align_ptr_up(&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() - 1) / 4; + const int bucket = (pos.count() - 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 <= BishopValueMg - KnightValueMg ? 7 : 0); - - int A = 128 - entertainment; - int B = 128 + entertainment; - - int sum = (A * materialist + B * positional) / 128; - - return static_cast( sum / OutputScale ); + // Give more value to positional evaluation when adjusted flag is set + if (adjusted) + return static_cast(((1024 - delta) * psqt + (1024 + delta) * positional) / (1024 * OutputScale)); + else + return static_cast((psqt + positional) / OutputScale); } struct NnueEvalTrace { @@ -196,27 +189,20 @@ namespace Stockfish::Eval::NNUE { #if defined(ALIGNAS_ON_STACK_VARIABLES_BROKEN) TransformedFeatureType transformedFeaturesUnaligned[ FeatureTransformer::BufferSize + alignment / sizeof(TransformedFeatureType)]; - char bufferUnaligned[Network::BufferSize + alignment]; auto* transformedFeatures = align_ptr_up(&transformedFeaturesUnaligned[0]); - auto* buffer = align_ptr_up(&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() - 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( materialist / OutputScale ); t.positional[bucket] = static_cast( positional / OutputScale ); @@ -234,12 +220,12 @@ namespace Stockfish::Eval::NNUE { 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) @@ -265,7 +251,7 @@ namespace Stockfish::Eval::NNUE { 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); } @@ -396,7 +382,7 @@ namespace Stockfish::Eval::NNUE { 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";