Reuse existing functions to read/write array of network parameters

closes https://github.com/official-stockfish/Stockfish/pull/4463

No functional change

diff --git a/src/nnue/layers/affine_transform.h b/src/nnue/layers/affine_transform.h
index 313b1568393f4a926b10c120e4de5e831bccd0c7..f84f054e7deb82838e7aa087b9118f6b26fb851e 100644 (file)
--- a/src/nnue/layers/affine_transform.h
+++ b/src/nnue/layers/affine_transform.h
@@ -256,8 +256,7 @@ namespace Stockfish::Eval::NNUE::Layers {
 
     // Read network parameters
     bool read_parameters(std::istream& stream) {
-      for (IndexType i = 0; i < OutputDimensions; ++i)
-        biases[i] = read_little_endian<BiasType>(stream);
+      read_little_endian<BiasType>(stream, biases, OutputDimensions);
 
       for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
         weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
@@ -267,8 +266,7 @@ namespace Stockfish::Eval::NNUE::Layers {
 
     // Write network parameters
     bool write_parameters(std::ostream& stream) const {
-      for (IndexType i = 0; i < OutputDimensions; ++i)
-          write_little_endian<BiasType>(stream, biases[i]);
+      write_little_endian<BiasType>(stream, biases, OutputDimensions);
 
       for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
         write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);
@@ -452,8 +450,7 @@ namespace Stockfish::Eval::NNUE::Layers {
 
     // Read network parameters
     bool read_parameters(std::istream& stream) {
-      for (IndexType i = 0; i < OutputDimensions; ++i)
-        biases[i] = read_little_endian<BiasType>(stream);
+      read_little_endian<BiasType>(stream, biases, OutputDimensions);
       for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
         weights[get_weight_index(i)] = read_little_endian<WeightType>(stream);
 
@@ -462,8 +459,7 @@ namespace Stockfish::Eval::NNUE::Layers {
 
     // Write network parameters
     bool write_parameters(std::ostream& stream) const {
-      for (IndexType i = 0; i < OutputDimensions; ++i)
-        write_little_endian<BiasType>(stream, biases[i]);
+      write_little_endian<BiasType>(stream, biases, OutputDimensions);
 
       for (IndexType i = 0; i < OutputDimensions * PaddedInputDimensions; ++i)
         write_little_endian<WeightType>(stream, weights[get_weight_index(i)]);