HCha/Stockfish
1
0
Fork 0
mirror of https://github.com/HChaZZY/Stockfish.git synced 2025-12-25 03:26:24 +08:00
Code Issues Packages Projects Releases Wiki Activity

Delete k-p_256x2-32-32.h

Browse Source
This commit is contained in:
JWmer
2020-11-20 15:06:14 +01:00
committed by nodchip
parent 5f18c88b3d
commit d9dcdc2b73
1 changed files with 0 additions and 35 deletions
Download Patch File Download Diff File Expand all files Collapse all files

35
src/nnue/architectures/k-p_256x2-32-32.h
View File

@@ -1,35 +0,0 @@
// Definition of input features and network structure used in NNUE evaluation function
#ifndef K_P_256X2_32_32_H
#define K_P_256X2_32_32_H
#include "nnue/features/feature_set.h"
#include "nnue/features/k.h"
#include "nnue/features/p.h"
#include "nnue/layers/input_slice.h"
#include "nnue/layers/affine_transform.h"
#include "nnue/layers/clipped_relu.h"
namespace Eval::NNUE {
// Input features used in evaluation function
using RawFeatures = Features::FeatureSet<Features::K, Features::P>;
// Number of input feature dimensions after conversion
constexpr IndexType kTransformedFeatureDimensions = 256;
namespace Layers {
// define network structure
using InputLayer = InputSlice<kTransformedFeatureDimensions * 2>;
using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 32>>;
using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
using OutputLayer = AffineTransform<HiddenLayer2, 1>;
} // namespace Layers
using Network = Layers::OutputLayer;
} // namespace Eval::NNUE
#endif // K_P_256X2_32_32_H