fix confs fix namespace

Author: Semyon1104

include/layers/ReduceLayer.hpp

@@ -4,17 +4,11 @@
 #include "layers/Layer.hpp"
 #include "layers/Tensor.hpp"
 
-namespace itlab_2023 {
+namespace it_lab_ai {
 
 class ReduceLayer : public Layer {
  public:
-  enum class Operation {
-    kSum,
-    kMean,
-    kMult,
-    kMax,
-    kMin
-  };
+  enum class Operation { kSum, kMean, kMult, kMax, kMin };
 
   ReduceLayer(Operation op, int64_t keepdims = 0);
   explicit ReduceLayer(int64_t keepdims = 0)
@@ -28,7 +22,7 @@ class ReduceLayer : public Layer {
   Operation op_;
   int64_t keepdims_;
   static void normalize_axes(const Shape& input_shape,
-                      std::vector<int64_t>& axes);
+                             std::vector<int64_t>& axes);
   Shape calculate_output_shape(const Shape& input_shape,
                                const std::vector<int64_t>& axes) const;
 
@@ -37,4 +31,4 @@ class ReduceLayer : public Layer {
                const std::vector<int64_t>& axes, Tensor& output) const;
 };
 
-}  // namespace itlab_2023
+}  // namespace it_lab_ai

include/layers/Shape.hpp

@@ -49,16 +49,6 @@ class Shape {
 
   bool operator!=(const Shape& other) const { return !(*this == other); }
   friend std::ostream& operator<<(std::ostream& os, const Shape& shape);
-  bool operator==(const Shape& other) const noexcept {
-    if (dims_.size() != other.dims_.size()) {
-      return false;
-    }
-    return std::equal(dims_.begin(), dims_.end(), other.dims_.begin());
-  }
-
-  bool operator!=(const Shape& other) const noexcept {
-    return !(*this == other);
-  }
 
  private:
   std::vector<size_t> dims_;

src/layers/ReduceLayer.cpp

@@ -4,7 +4,7 @@
 #include <limits>
 #include <numeric>
 
-namespace itlab_2023 {
+namespace it_lab_ai {
 
 ReduceLayer::ReduceLayer(Operation op, int64_t keepdims)
     : op_(op), keepdims_(keepdims) {}
@@ -210,4 +210,4 @@ void ReduceLayer::run(const Tensor& input, const Tensor& axes, Tensor& output) {
   }
 }
 
-}  // namespace itlab_2023
+}  // namespace it_lab_ai

test/single_layer/test_reducelayer.cpp

@@ -3,11 +3,9 @@
 #include "layers/ReduceLayer.hpp"
 #include "layers/Tensor.hpp"
 
-namespace itlab_2023 {
+namespace it_lab_ai {
 
-TEST(ReduceLayer, DefaultConstructor) {
-  ASSERT_NO_THROW(ReduceLayer layer);
-}
+TEST(ReduceLayer, DefaultConstructor) { ASSERT_NO_THROW(ReduceLayer layer); }
 
 TEST(ReduceLayer, SumAllAxesKeepDims) {
   ReduceLayer layer(1);
@@ -146,12 +144,9 @@ TEST(ReduceLayer, Resnet) {
 
   layer.run(input, axes, output);
 
-  EXPECT_EQ(output.get_shape(),
-            Shape({1, 1, 3, 3, 3}));
-  EXPECT_FLOAT_EQ(output.get<float>({0, 0, 0, 0, 0}),
-                  1.0f + 28.0f);
-  EXPECT_FLOAT_EQ(output.get<float>({0, 0, 2, 2, 2}),
-                  27.0f + 54.0f);
+  EXPECT_EQ(output.get_shape(), Shape({1, 1, 3, 3, 3}));
+  EXPECT_FLOAT_EQ(output.get<float>({0, 0, 0, 0, 0}), 1.0f + 28.0f);
+  EXPECT_FLOAT_EQ(output.get<float>({0, 0, 2, 2, 2}), 27.0f + 54.0f);
 }
 
 TEST(ReduceLayer, NegativeAxisBasic) {
@@ -277,4 +272,4 @@ TEST(ReduceLayer, ResnetReduceMean) {
           9.0f);
 }
 
-}  // namespace itlab_2023
+}  // namespace it_lab_ai