Fix some compiler warnings for unused parameters

Signed-off-by: Stefan Weil <sw@weilnetz.de>
ramsey · Oct 30, 2021 · 57af712 · 57af712
1 parent 20203de
commit 57af712
Show file tree

Hide file tree

Showing 3 changed files with 6 additions and 6 deletions.
diff --git a/src/lstm/input.h b/src/lstm/input.h
@@ -43,7 +43,7 @@ class Input : public Network {
   }
   // Returns the shape output from the network given an input shape (which may
   // be partially unknown ie zero).
-  StaticShape OutputShape(const StaticShape &input_shape) const override {
+  StaticShape OutputShape([[maybe_unused]] const StaticShape &input_shape) const override {
     return shape_;
   }
   // Writes to the given file. Returns false in case of error.

diff --git a/src/lstm/network.cpp b/src/lstm/network.cpp
@@ -134,7 +134,7 @@ void Network::SetNetworkFlags(uint32_t flags) {
 
 // Sets up the network for training. Initializes weights using weights of
 // scale `range` picked according to the random number generator `randomizer`.
-int Network::InitWeights(float range, TRand *randomizer) {
+int Network::InitWeights([[maybe_unused]] float range, TRand *randomizer) {
   randomizer_ = randomizer;
   return 0;
 }

diff --git a/src/lstm/network.h b/src/lstm/network.h
@@ -187,7 +187,7 @@ class TESS_API Network {
   // output from code_map[output] where non-negative, and uses the mean (over
   // all outputs) of the existing weights for all outputs with negative code_map
   // entries. Returns the new number of weights.
-  virtual int RemapOutputs(int old_no, const std::vector<int> &code_map) {
+  virtual int RemapOutputs([[maybe_unused]] int old_no, [[maybe_unused]] const std::vector<int> &code_map) {
     return 0;
   }
 
@@ -216,7 +216,7 @@ class TESS_API Network {
 
   // Provides the (minimum) x scale factor to the network (of interest only to
   // input units) so they can determine how to scale bounding boxes.
-  virtual void CacheXScaleFactor(int factor) {}
+  virtual void CacheXScaleFactor([[maybe_unused]] int factor) {}
 
   // Provides debug output on the weights.
   virtual void DebugWeights() = 0;
@@ -231,11 +231,11 @@ class TESS_API Network {
 public:
   // Updates the weights using the given learning rate, momentum and adam_beta.
   // num_samples is used in the adam computation iff use_adam_ is true.
-  virtual void Update(float learning_rate, float momentum, float adam_beta, int num_samples) {}
+  virtual void Update([[maybe_unused]] float learning_rate, [[maybe_unused]] float momentum, [[maybe_unused]] float adam_beta, [[maybe_unused]] int num_samples) {}
   // Sums the products of weight updates in *this and other, splitting into
   // positive (same direction) in *same and negative (different direction) in
   // *changed.
-  virtual void CountAlternators(const Network &other, TFloat *same, TFloat *changed) const {}
+  virtual void CountAlternators([[maybe_unused]] const Network &other, [[maybe_unused]] TFloat *same, [[maybe_unused]] TFloat *changed) const {}
 
   // Reads from the given file. Returns nullptr in case of error.
   // Determines the type of the serialized class and calls its DeSerialize