+++ /dev/null
-/*
- Stockfish, a UCI chess playing engine derived from Glaurung 2.1
- Copyright (C) 2004-2020 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
- the Free Software Foundation, either version 3 of the License, or
- (at your option) any later version.
-
- Stockfish is distributed in the hope that it will be useful,
- but WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- GNU General Public License for more details.
-
- You should have received a copy of the GNU General Public License
- along with this program. If not, see <http://www.gnu.org/licenses/>.
-*/
-
-// NNUE evaluation function layer InputSlice definition
-
-#ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
-#define NNUE_LAYERS_INPUT_SLICE_H_INCLUDED
-
-#include "../nnue_common.h"
-
-namespace Eval::NNUE::Layers {
-
-// Input layer
-template <IndexType OutputDimensions, IndexType Offset = 0>
-class InputSlice {
- public:
- // Need to maintain alignment
- static_assert(Offset % kMaxSimdWidth == 0, "");
-
- // Output type
- using OutputType = TransformedFeatureType;
-
- // Output dimensionality
- static constexpr IndexType kOutputDimensions = OutputDimensions;
-
- // Size of forward propagation buffer used from the input layer to this layer
- static constexpr std::size_t kBufferSize = 0;
-
- // Hash value embedded in the evaluation file
- static constexpr std::uint32_t GetHashValue() {
- std::uint32_t hash_value = 0xEC42E90Du;
- hash_value ^= kOutputDimensions ^ (Offset << 10);
- return hash_value;
- }
-
- // Read network parameters
- bool ReadParameters(std::istream& /*stream*/) {
- return true;
- }
-
- // Forward propagation
- const OutputType* Propagate(
- const TransformedFeatureType* transformed_features,
- char* /*buffer*/) const {
- return transformed_features + Offset;
- }
-
- private:
-};
-
-} // namespace Layers
-
-#endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED