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Refactor Network Usage

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Continuing from PR #4968, this update improves how Stockfish handles network
usage, making it easier to manage and modify networks in the future.

With the introduction of a dedicated Network class, creating networks has become
straightforward. See uci.cpp:
```cpp
NN::NetworkBig({EvalFileDefaultNameBig, "None", ""}, NN::embeddedNNUEBig)
```

The new `Network` encapsulates all network-related logic, significantly reducing
the complexity previously required to support multiple network types, such as
the distinction between small and big networks #4915.

Non-Regression STC:
https://tests.stockfishchess.org/tests/view/65edd26c0ec64f0526c43584
LLR: 2.94 (-2.94,2.94) <-1.75,0.25>
Total: 33760 W: 8887 L: 8661 D: 16212
Ptnml(0-2): 143, 3795, 8808, 3961, 173

Non-Regression SMP STC:
https://tests.stockfishchess.org/tests/view/65ed71970ec64f0526c42fdd
LLR: 2.96 (-2.94,2.94) <-1.75,0.25>
Total: 59088 W: 15121 L: 14931 D: 29036
Ptnml(0-2): 110, 6640, 15829, 6880, 85

Compiled with `make -j profile-build`
```
bash ./bench_parallel.sh ./stockfish ./stockfish-nnue 13 50

sf_base =  1568540 +/-   7637 (95%)
sf_test =  1573129 +/-   7301 (95%)
diff    =     4589 +/-   8720 (95%)
speedup = 0.29260% +/- 0.556% (95%)
```

Compiled with `make -j build`
```
bash ./bench_parallel.sh ./stockfish ./stockfish-nnue 13 50

sf_base =  1472653 +/-   7293 (95%)
sf_test =  1491928 +/-   7661 (95%)
diff    =    19275 +/-   7154 (95%)
speedup = 1.30886% +/- 0.486% (95%)
```

closes https://github.com/official-stockfish/Stockfish/pull/5100

No functional change
This commit is contained in:
Disservin
2024-03-09 14:42:37 +01:00
parent f072634e24
commit 1a26d698de
18 changed files with 948 additions and 826 deletions
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32
src/evaluate.h
View File

@@ -20,51 +20,33 @@
#define EVALUATE_H_INCLUDED
#include <string>
#include <unordered_map>
#include "types.h"
namespace Stockfish {
class Position;
class OptionsMap;
namespace Eval {
constexpr inline int SmallNetThreshold = 1139, PsqtOnlyThreshold = 2500;
std::string trace(Position& pos);
int simple_eval(const Position& pos, Color c);
Value evaluate(const Position& pos, int optimism);
// The default net name MUST follow the format nn-[SHA256 first 12 digits].nnue
// for the build process (profile-build and fishtest) to work. Do not change the
// name of the macro, as it is used in the Makefile.
// name of the macro or the location where this macro is defined, as it is used
// in the Makefile/Fishtest.
#define EvalFileDefaultNameBig "nn-1ceb1ade0001.nnue"
#define EvalFileDefaultNameSmall "nn-baff1ede1f90.nnue"
struct EvalFile {
// UCI option name
std::string optionName;
// Default net name, will use one of the macros above
std::string defaultName;
// Selected net name, either via uci option or default
std::string current;
// Net description extracted from the net file
std::string netDescription;
};
namespace NNUE {
struct Networks;
}
enum NetSize : int;
std::string trace(Position& pos, const Eval::NNUE::Networks& networks);
using EvalFiles = std::unordered_map<Eval::NNUE::NetSize, EvalFile>;
int simple_eval(const Position& pos, Color c);
Value evaluate(const NNUE::Networks& networks, const Position& pos, int optimism);
EvalFiles load_networks(const std::string&, const OptionsMap&, EvalFiles);
void verify(const OptionsMap&, const EvalFiles&);
} // namespace NNUE
} // namespace Eval