X-Git-Url: https://git.sesse.net/?a=blobdiff_plain;f=src%2Fnnue%2Fnnue_architecture.h;h=879a39cdbe68cfb4a4a6e3b64a457909520623c9;hb=b939c805139e4b37f04fbf177f580c35ebe9f130;hp=55a01fbe15db42d56880424ba8ff5a07808edb6a;hpb=b748b46714d5f8e0acca0a042ede1fc95e4f5190;p=stockfish

diff --git a/src/nnue/nnue_architecture.h b/src/nnue/nnue_architecture.h
index 55a01fbe..879a39cd 100644
--- a/src/nnue/nnue_architecture.h
+++ b/src/nnue/nnue_architecture.h
@@ -23,7 +23,7 @@
 
 #include "nnue_common.h"
 
-#include "features/half_kp.h"
+#include "features/half_ka_v2.h"
 
 #include "layers/input_slice.h"
 #include "layers/affine_transform.h"
@@ -32,16 +32,18 @@
 namespace Stockfish::Eval::NNUE {
 
   // Input features used in evaluation function
-  using FeatureSet = Features::HalfKP;
+  using FeatureSet = Features::HalfKAv2;
 
   // Number of input feature dimensions after conversion
-  constexpr IndexType TransformedFeatureDimensions = 256;
+  constexpr IndexType TransformedFeatureDimensions = 512;
+  constexpr IndexType PSQTBuckets = 8;
+  constexpr IndexType LayerStacks = 8;
 
   namespace Layers {
 
     // Define network structure
     using InputLayer = InputSlice<TransformedFeatureDimensions * 2>;
-    using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 32>>;
+    using HiddenLayer1 = ClippedReLU<AffineTransform<InputLayer, 16>>;
     using HiddenLayer2 = ClippedReLU<AffineTransform<HiddenLayer1, 32>>;
     using OutputLayer = AffineTransform<HiddenLayer2, 1>;