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matches the rest of the stockfish code base closes https://github.com/official-stockfish/Stockfish/pull/3437 No functional change
54 lines
1.8 KiB
C++
54 lines
1.8 KiB
C++
/*
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Stockfish, a UCI chess playing engine derived from Glaurung 2.1
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Copyright (C) 2004-2021 The Stockfish developers (see AUTHORS file)
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Stockfish is free software: you can redistribute it and/or modify
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it under the terms of the GNU General Public License as published by
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the Free Software Foundation, either version 3 of the License, or
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(at your option) any later version.
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Stockfish is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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*/
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// Definition of input features and network structure used in NNUE evaluation function
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#ifndef NNUE_HALFKP_256X2_32_32_H_INCLUDED
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#define NNUE_HALFKP_256X2_32_32_H_INCLUDED
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#include "../features/feature_set.h"
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#include "../features/half_kp.h"
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#include "../layers/input_slice.h"
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#include "../layers/affine_transform.h"
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#include "../layers/clipped_relu.h"
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namespace Stockfish::Eval::NNUE {
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// Input features used in evaluation function
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using RawFeatures = Features::FeatureSet<
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Features::HalfKP<Features::Side::Friend>>;
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// Number of input feature dimensions after conversion
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constexpr IndexType TransformedFeatureDimensions = 256;
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namespace Layers {
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// Define network structure
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using InputLayer = InputSlice<TransformedFeatureDimensions * 2>;
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using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 32>>;
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using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
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using OutputLayer = AffineTransform<HiddenLayer2, 1>;
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} // namespace Layers
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using Network = Layers::OutputLayer;
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} // namespace Stockfish::Eval::NNUE
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#endif // #ifndef NNUE_HALFKP_256X2_32_32_H_INCLUDED
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