X-Git-Url: https://git.sesse.net/?p=stockfish;a=blobdiff_plain;f=src%2Fnnue%2Flayers%2Faffine_transform_sparse_input.h;fp=src%2Fnnue%2Flayers%2Faffine_transform_sparse_input.h;h=134b7d13e191ab8a148b4d458c24d9100540e877;hp=a5bea08e74b3fbaea0431a5daf2329d83288e605;hb=cb22520a9c7e1d716a56f08390aa638a23a597b2;hpb=2667316ffcf1b3396e42be3d5cb6bcbdcc98c216

diff --git a/src/nnue/layers/affine_transform_sparse_input.h b/src/nnue/layers/affine_transform_sparse_input.h
index a5bea08e..134b7d13 100644
--- a/src/nnue/layers/affine_transform_sparse_input.h
+++ b/src/nnue/layers/affine_transform_sparse_input.h
@@ -102,7 +102,6 @@ namespace Stockfish::Eval::NNUE::Layers {
   template <IndexType InDims, IndexType OutDims>
   class AffineTransformSparseInput {
    public:
-    // Input/output type
     // Input/output type
     using InputType = std::uint8_t;
     using OutputType = std::int32_t;
@@ -135,7 +134,7 @@ namespace Stockfish::Eval::NNUE::Layers {
       return hashValue;
     }
 
-    static IndexType get_weight_index_scrambled(IndexType i)
+    static constexpr IndexType get_weight_index_scrambled(IndexType i)
     {
       return
         (i / ChunkSize) % (PaddedInputDimensions / ChunkSize) * OutputDimensions * ChunkSize +
@@ -143,7 +142,7 @@ namespace Stockfish::Eval::NNUE::Layers {
         i % ChunkSize;
     }
 
-    static IndexType get_weight_index(IndexType i)
+    static constexpr IndexType get_weight_index(IndexType i)
     {
 #if defined (USE_SSSE3)
       return get_weight_index_scrambled(i);
@@ -171,7 +170,7 @@ namespace Stockfish::Eval::NNUE::Layers {
       return !stream.fail();
     }
     // Forward propagation
-    const OutputType* propagate(
+    void propagate(
         const InputType* input, OutputType* output) const {
 
 #if defined (USE_SSSE3)
@@ -230,8 +229,6 @@ namespace Stockfish::Eval::NNUE::Layers {
         PaddedInputDimensions,
         OutputDimensions>(output, weights, biases, input);
 #endif
-
-      return output;
     }
 
    private: