clang format

src/onnx/onnx.cpp

@@ -279,7 +279,7 @@ struct onnx_parser
         }
 
         int keep_dims = 1;
-        if (contains(attributes, "keepdims"))
+        if(contains(attributes, "keepdims"))
         {
             keep_dims = parse_value(attributes.at("keepdims")).at<int>();
         }
@@ -298,7 +298,7 @@ struct onnx_parser
         }
 
         int keep_dims = 1;
-        if (contains(attributes, "keepdims"))
+        if(contains(attributes, "keepdims"))
         {
             keep_dims = parse_value(attributes.at("keepdims")).at<int>();
         }

src/targets/cpu/lowering.cpp

@@ -651,12 +651,13 @@ struct cpu_argmax
     std::string name() const { return "cpu::argmax"; }
     shape compute_shape(const std::vector<shape>& inputs) const { return op.compute_shape(inputs); }
 
-    template<class T>
-    int64_t calc_argmax(T& input, std::vector<std::size_t>& indices, size_t item_num, int axis) const
+    template <class T>
+    int64_t
+    calc_argmax(T& input, std::vector<std::size_t>& indices, size_t item_num, int axis) const
     {
         auto max_val      = input(indices.begin(), indices.end());
         int64_t max_index = 0;
-        for (std::size_t i = 1; i < item_num; ++i)
+        for(std::size_t i = 1; i < item_num; ++i)
         {
             indices[axis] = i;
             if(max_val < input(indices.begin(), indices.end()))
@@ -703,12 +704,13 @@ struct cpu_argmin
     std::string name() const { return "cpu::argmin"; }
     shape compute_shape(const std::vector<shape>& inputs) const { return op.compute_shape(inputs); }
 
-    template<class T>
-    int64_t calc_argmin(T& input, std::vector<std::size_t>& indices, size_t item_num, int axis) const
+    template <class T>
+    int64_t
+    calc_argmin(T& input, std::vector<std::size_t>& indices, size_t item_num, int axis) const
     {
         auto min_val      = input(indices.begin(), indices.end());
         int64_t min_index = 0;
-        for (std::size_t i = 1; i < item_num; ++i)
+        for(std::size_t i = 1; i < item_num; ++i)
         {
             indices[axis] = i;
             if(min_val > input(indices.begin(), indices.end()))