fix

Author: aobolensk

app/AccuracyImgNet/accimgnet.cpp

@@ -115,7 +115,7 @@ std::vector<std::pair<size_t, std::string> > extract_csv(
 void check_accuracy(const std::string& neural_network_path,
                     const std::string& dataset_path, size_t imgs_size,
                     const std::string& reference_path) {
-  Graph a1 = open_network(std::move(neural_network_path));
+  Graph a1 = open_network(neural_network_path);
   Tensor input;
   Tensor output;
   InputLayer inlayer;

include/graph/graph.hpp

@@ -56,9 +56,8 @@ class Graph {
     if (layPrev.getID() == layNext.getID()) {
       throw std::out_of_range("i=j cant add edge");
     }
-    for (int ind = 1; ind < static_cast<int>(arrayV_.size()) -
-                                static_cast<int>(layPrev.getID()) - 1;
-         ind++)
+    for (int ind = 1;
+         ind < static_cast<int>(arrayV_.size()) - layPrev.getID() - 1; ind++)
       arrayV_[layPrev.getID() + ind]++;
     arrayE_.insert(arrayE_.begin() + arrayV_[layPrev.getID()], layNext.getID());
     V_++;

include/layers/InputLayer.hpp

@@ -6,7 +6,7 @@
 
 namespace itlab_2023 {
 
-enum LayInOut {
+enum LayInOut : uint8_t {
   kNchw,  // 0
   kNhwc   // 1
 };
@@ -20,8 +20,8 @@ class InputLayer : public Layer {
 
  public:
   InputLayer() = default;
-  InputLayer(LayInOut layin, LayInOut layout, int mean = 0, int std = 1)
-      : Layer() {
+  InputLayer(LayInOut layin, LayInOut layout, int mean = 0, int std = 1) {
+    type_ = LayerType::kInput;
     layin_ = layin;
     layout_ = layout;
     mean_ = mean;
@@ -44,7 +44,7 @@ class InputLayer : public Layer {
               "input layer");
         }
         for (int& re : in) {
-          re = static_cast<int>((re - mean_) / std_);
+          re = (re - mean_) / std_;
         }
         Shape sh(input.get_shape());
         if (layin_ == kNchw && layout_ == kNhwc) {

include/layers/Layer.hpp

@@ -10,7 +10,7 @@
 
 namespace itlab_2023 {
 
-enum LayerType {
+enum LayerType : uint8_t {
   kInput,
   kPooling,
   kNormalization,
@@ -36,7 +36,7 @@ class Layer {
 #endif
 
  private:
-  int id_;
+  int id_ = 0;
   LayerType type_;
 };
 

include/layers/PoolingLayer.hpp

@@ -8,7 +8,7 @@
 
 namespace itlab_2023 {
 
-enum PoolingType { kAverage, kMax };
+enum PoolingType : uint8_t { kAverage, kMax };
 
 class PoolingLayer : public Layer {
  public:

include/layers/Tensor.hpp

@@ -10,7 +10,7 @@
 
 namespace itlab_2023 {
 
-enum class Type { kUnknown, kInt, kFloat };
+enum class Type : uint8_t { kUnknown, kInt, kFloat };
 
 template <typename T>
 std::vector<uint8_t>* to_byte(std::vector<T>& v) {