Update cppcheck version

dev-requirements.txt

 pfultz2/rocm-recipes
 pcre
-danmar/cppcheck@399a90c00e6c37be195bb7155b8e2c84d51f40aa -DHAVE_RULES=1
+danmar/cppcheck@1e347f6 -DHAVE_RULES=1
 ROCm-Developer-Tools/HIP@3a41f286203968421c557338d6fb39c36f3c717c
 # Needed for clang-ocl
 RadeonOpenCompute/rocm-cmake@d82a77c --build

src/onnx/onnx.cpp

@@ -351,11 +351,9 @@ struct onnx_parser
         if(node.name().empty())
         {
             std::string generated = "migraph_unnamed_node";
-            for(auto&& output : node.output())
-            {
-                generated += "_" + output;
-            }
-            return generated;
+            return std::accumulate(node.output().begin(), node.output().end(), generated, [](auto x, auto y) {
+                return x + "_" + y;
+            });
         }
         return node.name();
     }
@@ -488,11 +486,8 @@ struct onnx_parser
             break; // throw std::runtime_error("Unsupported type COMPLEX128");
         }
         std::vector<std::size_t> dims;
-        // TODO: USe std::transform
-        for(auto&& d : t.tensor_type().shape().dim())
-        {
-            dims.push_back(d.dim_value());
-        }
+        auto&& tensor_dims = t.tensor_type().shape().dim();
+        std::transform(tensor_dims.begin(), tensor_dims.end(), std::back_inserter(dims), [](auto&& d) { return d.dim_value(); });
         return {shape_type, dims};
     }
 };