74 lines
2.1 KiB
C++
74 lines
2.1 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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// NNUE evaluation function layer InputSlice definition
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#ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
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#define NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
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#include "../nnue_common.h"
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namespace Stockfish::Eval::NNUE::Layers {
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// Input layer
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template <IndexType OutDims, IndexType Offset = 0>
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class InputSlice {
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public:
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// Need to maintain alignment
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static_assert(Offset % MaxSimdWidth == 0, "");
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// Output type
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using OutputType = TransformedFeatureType;
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// Output dimensionality
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static constexpr IndexType OutputDimensions = OutDims;
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// Size of forward propagation buffer used from the input layer to this layer
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static constexpr std::size_t BufferSize = 0;
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// Hash value embedded in the evaluation file
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static constexpr std::uint32_t get_hash_value() {
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std::uint32_t hashValue = 0xEC42E90Du;
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hashValue ^= OutputDimensions ^ (Offset << 10);
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return hashValue;
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}
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// Read network parameters
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bool read_parameters(std::istream& /*stream*/) {
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return true;
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}
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// Write network parameters
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bool write_parameters(std::ostream& /*stream*/) const {
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return true;
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}
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// Forward propagation
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const OutputType* propagate(
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const TransformedFeatureType* transformedFeatures,
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char* /*buffer*/) const {
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return transformedFeatures + Offset;
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}
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private:
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};
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} // namespace Stockfish::Eval::NNUE::Layers
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#endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
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