Add Stockfish namespace.

fixes #3350 and is a small cleanup that might make it easier to use SF
in separate projects, like a NNUE trainer or similar.

closes https://github.com/official-stockfish/Stockfish/pull/3370

No functional change.

src/nnue/architectures/halfkp_256x2-32-32.h

@@ -28,7 +28,7 @@
 #include "../layers/affine_transform.h"
 #include "../layers/clipped_relu.h"
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
 // Input features used in evaluation function
 using RawFeatures = Features::FeatureSet<
@@ -49,6 +49,6 @@ using OutputLayer = AffineTransform<HiddenLayer2, 1>;
 
 using Network = Layers::OutputLayer;
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // #ifndef NNUE_HALFKP_256X2_32_32_H_INCLUDED

src/nnue/evaluate_nnue.cpp

@@ -29,7 +29,7 @@
 
 #include "evaluate_nnue.h"
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   // Input feature converter
   LargePagePtr<FeatureTransformer> feature_transformer;
@@ -141,4 +141,4 @@ namespace Eval::NNUE {
     return ReadParameters(stream);
   }
 
-} // namespace Eval::NNUE
+} // namespace Stockfish::Eval::NNUE

src/nnue/evaluate_nnue.h

@@ -25,7 +25,7 @@
 
 #include <memory>
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   // Hash value of evaluation function structure
   constexpr std::uint32_t kHashValue =
@@ -54,6 +54,6 @@ namespace Eval::NNUE {
   template <typename T>
   using LargePagePtr = std::unique_ptr<T, LargePageDeleter<T>>;
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // #ifndef NNUE_EVALUATE_NNUE_H_INCLUDED

src/nnue/features/feature_set.h

@@ -24,7 +24,7 @@
 #include "features_common.h"
 #include <array>
 
-namespace Eval::NNUE::Features {
+namespace Stockfish::Eval::NNUE::Features {
 
   // Class template that represents a list of values
   template <typename T, T... Values>
@@ -64,6 +64,6 @@ namespace Eval::NNUE::Features {
 
   };
 
-}  // namespace Eval::NNUE::Features
+}  // namespace Stockfish::Eval::NNUE::Features
 
 #endif // #ifndef NNUE_FEATURE_SET_H_INCLUDED

src/nnue/features/features_common.h

@@ -24,7 +24,7 @@
 #include "../../evaluate.h"
 #include "../nnue_common.h"
 
-namespace Eval::NNUE::Features {
+namespace Stockfish::Eval::NNUE::Features {
 
   class IndexList;
 
@@ -40,6 +40,6 @@ namespace Eval::NNUE::Features {
     kFriend // side to move
   };
 
-}  // namespace Eval::NNUE::Features
+}  // namespace Stockfish::Eval::NNUE::Features
 
 #endif // #ifndef NNUE_FEATURES_COMMON_H_INCLUDED

src/nnue/features/half_kp.cpp

@@ -21,7 +21,7 @@
 #include "half_kp.h"
 #include "index_list.h"
 
-namespace Eval::NNUE::Features {
+namespace Stockfish::Eval::NNUE::Features {
 
   // Orient a square according to perspective (rotates by 180 for black)
   inline Square orient(Color perspective, Square s) {
@@ -65,4 +65,4 @@ namespace Eval::NNUE::Features {
 
   template class HalfKP<Side::kFriend>;
 
-}  // namespace Eval::NNUE::Features
+}  // namespace Stockfish::Eval::NNUE::Features

src/nnue/features/half_kp.h

@@ -24,7 +24,7 @@
 #include "../../evaluate.h"
 #include "features_common.h"
 
-namespace Eval::NNUE::Features {
+namespace Stockfish::Eval::NNUE::Features {
 
   // Feature HalfKP: Combination of the position of own king
   // and the position of pieces other than kings
@@ -54,6 +54,6 @@ namespace Eval::NNUE::Features {
                                      IndexList* removed, IndexList* added);
   };
 
-}  // namespace Eval::NNUE::Features
+}  // namespace Stockfish::Eval::NNUE::Features
 
 #endif // #ifndef NNUE_FEATURES_HALF_KP_H_INCLUDED

src/nnue/features/index_list.h

@@ -24,7 +24,7 @@
 #include "../../position.h"
 #include "../nnue_architecture.h"
 
-namespace Eval::NNUE::Features {
+namespace Stockfish::Eval::NNUE::Features {
 
   // Class template used for feature index list
   template <typename T, std::size_t MaxSize>
@@ -59,6 +59,6 @@ namespace Eval::NNUE::Features {
       : public ValueList<IndexType, RawFeatures::kMaxActiveDimensions> {
   };
 
-}  // namespace Eval::NNUE::Features
+}  // namespace Stockfish::Eval::NNUE::Features
 
 #endif // NNUE_FEATURES_INDEX_LIST_H_INCLUDED

src/nnue/layers/affine_transform.h

@@ -24,7 +24,7 @@
 #include <iostream>
 #include "../nnue_common.h"
 
-namespace Eval::NNUE::Layers {
+namespace Stockfish::Eval::NNUE::Layers {
 
   // Affine transformation layer
   template <typename PreviousLayer, IndexType OutputDimensions>
@@ -459,6 +459,6 @@ namespace Eval::NNUE::Layers {
 #endif
   };
 
-}  // namespace Eval::NNUE::Layers
+}  // namespace Stockfish::Eval::NNUE::Layers
 
 #endif // #ifndef NNUE_LAYERS_AFFINE_TRANSFORM_H_INCLUDED

src/nnue/layers/clipped_relu.h

@@ -23,7 +23,7 @@
 
 #include "../nnue_common.h"
 
-namespace Eval::NNUE::Layers {
+namespace Stockfish::Eval::NNUE::Layers {
 
   // Clipped ReLU
   template <typename PreviousLayer>
@@ -161,6 +161,6 @@ namespace Eval::NNUE::Layers {
     PreviousLayer previous_layer_;
   };
 
-}  // namespace Eval::NNUE::Layers
+}  // namespace Stockfish::Eval::NNUE::Layers
 
 #endif // NNUE_LAYERS_CLIPPED_RELU_H_INCLUDED

src/nnue/layers/input_slice.h

@@ -23,7 +23,7 @@
 
 #include "../nnue_common.h"
 
-namespace Eval::NNUE::Layers {
+namespace Stockfish::Eval::NNUE::Layers {
 
 // Input layer
 template <IndexType OutputDimensions, IndexType Offset = 0>
@@ -63,6 +63,6 @@ class InputSlice {
  private:
 };
 
-}  // namespace Layers
+}  // namespace Stockfish::Eval::NNUE::Layers
 
 #endif // #ifndef NNUE_LAYERS_INPUT_SLICE_H_INCLUDED

src/nnue/nnue_accumulator.h

@@ -23,7 +23,7 @@
 
 #include "nnue_architecture.h"
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   // The accumulator of a StateInfo without parent is set to the INIT state
   enum AccumulatorState { EMPTY, COMPUTED, INIT };
@@ -35,6 +35,6 @@ namespace Eval::NNUE {
     AccumulatorState state[2];
   };
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // NNUE_ACCUMULATOR_H_INCLUDED

src/nnue/nnue_architecture.h

@@ -24,7 +24,7 @@
 // Defines the network structure
 #include "architectures/halfkp_256x2-32-32.h"
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   static_assert(kTransformedFeatureDimensions % kMaxSimdWidth == 0, "");
   static_assert(Network::kOutputDimensions == 1, "");
@@ -33,6 +33,6 @@ namespace Eval::NNUE {
   // Trigger for full calculation instead of difference calculation
   constexpr auto kRefreshTriggers = RawFeatures::kRefreshTriggers;
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // #ifndef NNUE_ARCHITECTURE_H_INCLUDED

src/nnue/nnue_common.h

@@ -43,7 +43,7 @@
 #include <arm_neon.h>
 #endif
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   // Version of the evaluation file
   constexpr std::uint32_t kVersion = 0x7AF32F16u;
@@ -127,6 +127,6 @@ namespace Eval::NNUE {
       return result;
   }
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // #ifndef NNUE_COMMON_H_INCLUDED

src/nnue/nnue_feature_transformer.h

@@ -27,7 +27,7 @@
 
 #include <cstring> // std::memset()
 
-namespace Eval::NNUE {
+namespace Stockfish::Eval::NNUE {
 
   // If vector instructions are enabled, we update and refresh the
   // accumulator tile by tile such that each tile fits in the CPU's
@@ -412,6 +412,6 @@ namespace Eval::NNUE {
         WeightType weights_[kHalfDimensions * kInputDimensions];
   };
 
-}  // namespace Eval::NNUE
+}  // namespace Stockfish::Eval::NNUE
 
 #endif // #ifndef NNUE_FEATURE_TRANSFORMER_H_INCLUDED