clang

Author: Semyon1104

app/Graph/build.hpp

@@ -1,8 +1,7 @@
 #pragma once
-#include <functional>
-#include <opencv2/opencv.hpp>
 #include <filesystem>
 #include <fstream>
+#include <functional>
 #include <iostream>
 #include <opencv2/opencv.hpp>
 #include <stdexcept>
@@ -11,27 +10,27 @@
 
 #include "Weights_Reader/reader_weights.hpp"
 #include "graph/graph.hpp"
+#include "layers/BatchNormalizationLayer.hpp"
+#include "layers/BinaryOpLayer.hpp"
+#include "layers/ConcatLayer.hpp"
 #include "layers/ConvLayer.hpp"
 #include "layers/DropOutLayer.hpp"
 #include "layers/EWLayer.hpp"
 #include "layers/FCLayer.hpp"
 #include "layers/FlattenLayer.hpp"
 #include "layers/InputLayer.hpp"
+#include "layers/MatmulLayer.hpp"
 #include "layers/OutputLayer.hpp"
 #include "layers/PoolingLayer.hpp"
-#include "layers/Tensor.hpp"
-#include "layers/ConcatLayer.hpp"
-#include "layers/BinaryOpLayer.hpp"
-#include "layers/SplitLayer.hpp"
-#include "layers/TransposeLayer.hpp"
+#include "layers/ReduceLayer.hpp"
 #include "layers/ReshapeLayer.hpp"
-#include "layers/MatmulLayer.hpp"
 #include "layers/SoftmaxLayer.hpp"
-#include "layers/ReduceLayer.hpp"
-#include "layers/BatchNormalizationLayer.hpp"
+#include "layers/SplitLayer.hpp"
+#include "layers/Tensor.hpp"
+#include "layers/TransposeLayer.hpp"
 
 void build_graph(it_lab_ai::Tensor& input, it_lab_ai::Tensor& output,
                  const std::string& json_path, bool comments,
                  bool parallel = false);
-void build_graph_linear(it_lab_ai::Tensor& input, it_lab_ai::Tensor& output, bool comments,
-                 bool parallel = false);
+void build_graph_linear(it_lab_ai::Tensor& input, it_lab_ai::Tensor& output,
+                        bool comments, bool parallel = false);

app/Graph/graph_build.cpp

@@ -215,8 +215,7 @@ int main(int argc, char* argv[]) {
   std::string image_folder;
   if (model_name == "alexnet_mnist") {
     image_folder = IMAGE28_PATH;
-  }
-  else {
+  } else {
     image_folder = IMAGENET_PATH;
   }
   std::cout << "Using image folder: " << image_folder << std::endl;

include/layers/PoolingLayer.hpp

@@ -169,7 +169,7 @@ PoolingLayerImpl<ValueType>::PoolingLayerImpl(
     size_t stride = strides[i];
     size_t pad =
         pads[i] +
-        pads[pooling_shape.dims() + i];  // top + bottom èëè left + right
+        pads[pooling_shape.dims() + i];
     size_t dilation = dilations[i];
 
     size_t effective_kernel_size = (kernel_size - 1) * dilation + 1;
@@ -311,7 +311,6 @@ std::vector<ValueType> PoolingLayerImplTBB<ValueType>::run(
   int batch_dim = this->inputShape_.dims() > spatial_dims ? 0 : -1;
   int channel_dim = this->inputShape_.dims() > spatial_dims + 1 ? 1 : -1;
 
-  // Use nested TBB loops
   oneapi::tbb::parallel_for(
       oneapi::tbb::blocked_range<size_t>(
           0, batch_dim >= 0 ? this->outputShape_[batch_dim] : 1),

test/single_layer/test_reshapelayer.cpp

@@ -134,8 +134,7 @@ TEST(ReshapeLayerTest, ZeroDimensionIndexOutOfRange) {
   std::vector<float> data(6, 1.0f);
   Tensor input = make_tensor(data, {2, 3});
   Tensor output;
-  ReshapeLayer layer(true,
-                     {2, 0, 3});
+  ReshapeLayer layer(true, {2, 0, 3});
 
   std::vector<Tensor> in{input};
   std::vector<Tensor> out{output};