[Fix] fatal error C1128 in Test_ReduceSum

Context

Fatal error C1128 in Windows compilation preventing CI from successfully completing https://gitlab.eclipse.org/eclipse/aidge/aidge_backend_cpu/-/jobs/485211.

On Microsof website it is specified that:

number of sections exceeded object file format limit : compile with /bigobj

An .obj file exceeded the number of allowable sections, a COFF object file format limitation.

Reaching this section limitation can be the result of using /Gy and a debug build; /Gy causes functions to go into their own COMDAT sections. In a debug build, there is a debug info section for each COMDAT function.

C1128 can also be caused when there are too many inline functions.

unit_tests/operator/Test_ReduceSumImpl.cpp

@@ -9,17 +9,22 @@
  *
  ********************************************************************************/
 
-#include <catch2/catch_test_macros.hpp>
+#include <cstddef>  // std::size_t
+#include <cstdint>  // std::uint16_t, std::int32_t
 #include <memory>
-#include <numeric>   // std::accumulate
 #include <random>    // std::random_device, std::mt19937, std::uniform_real_distribution
+#include <vector>
+
+#include <catch2/catch_test_macros.hpp>
 
+#include "aidge/backend/cpu/data/TensorImpl.hpp"
+#include "aidge/data/Data.hpp"  // DataType
 #include "aidge/data/Tensor.hpp"
+#include "aidge/graph/Node.hpp"
+#include "aidge/operator/OperatorTensor.hpp"
 #include "aidge/operator/ReduceSum.hpp"
-#include "aidge/operator/Conv.hpp"
-
-#include "aidge/backend/cpu.hpp"
 #include "aidge/utils/TensorUtils.hpp"
+#include "aidge/utils/Types.h"
 
 using namespace Aidge;
 
@@ -112,7 +117,7 @@ TEST_CASE("[cpu/operator] ReduceSum(forward)", "[ReduceSum][CPU]") {
                 std::shared_ptr<Tensor> myInput = std::make_shared<Tensor>(dims);
                 myInput->setBackend("cpu");
                 myInput->setDataType(DataType::Float32);
-                std::shared_ptr<Node> myReduceSum = ReduceSum(std::vector<int32_t>{}, false, true);
+                std::shared_ptr<Node> myReduceSum = ReduceSum(std::vector<std::int32_t>{}, false, true);
                 auto op = std::static_pointer_cast<OperatorTensor>(myReduceSum -> getOperator());
                 op->associateInput(0,myInput);
                 op->setDataType(DataType::Float32);