X-Git-Url: https://git.sesse.net/?p=stockfish;a=blobdiff_plain;f=src%2Fnnue%2Flayers%2Finput_slice.h;h=8f526b745f724f435a35f1496f5f43f10bf58d45;hp=afca14c82c8ea47c646c346189661c35e8d79b5b;hb=HEAD;hpb=84f3e867903f62480c33243dd0ecbffd342796fc

diff --git a/src/nnue/layers/input_slice.h b/src/nnue/layers/input_slice.h
deleted file mode 100644
index afca14c8..00000000
--- a/src/nnue/layers/input_slice.h
+++ /dev/null
@@ -1,68 +0,0 @@
-/*
-  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