[MIN][DOX]

include/aidge/backend/cpu/data/TensorImpl.hpp

@@ -21,6 +21,7 @@ public:
     /// @param i_FirstDataCoordinates Logical coordinates of the data at null natural
     /// coordinates
     /// @param i_Dimensions Tensor dimensions
+    /// @sa Coord_t
     TensorImpl_cpu(
         DataType const i_DataType,
         std::vector<Coord_t> const &i_FirstDataCoordinates,
@@ -97,11 +98,7 @@ public:
         if (ptr)
         {
             ptr->cloneProperties(*this);
-            NbElts_t n = std::accumulate(
-                std::begin(getDimensions()),
-                std::end(getDimensions()),
-                1,
-                std::multiplies<NbElts_t>());
+            NbElts_t n = getNbElts();
             ptr->copy(getDataAddress(), n);
         }
         return detail::pimpl::ImplPtr_t(ptr);

unit_tests/data/Test_TensorImpl.cpp

@@ -24,7 +24,6 @@ template<typename Data_T> bool MakeRainbow(Tensor &i_Tensor)
 {
     NbElts_t N = i_Tensor.size();
     Data_T *data = reinterpret_cast<Data_T *>(i_Tensor.getImpl().rawPtr());
-    Data_T *end = data + N;
     for (std::size_t i = 0; i < N; ++i, ++data)
     {
         *data = i;
@@ -189,12 +188,11 @@ TEST_CASE("Tensor extract")
 {
     SECTION("shallow extract")
     {
-        // Tensor Rainbow;
-        // Rainbow.resize({2, 4, 5});
-        // Rainbow.setDatatype(DataType::UInt16);
-        // Rainbow.setBackend("cpu");
-        // MakeRainbow<std::uint16_t>(Rainbow);
-
+        Tensor Rainbow;
+        Rainbow.resize({2, 4, 5});
+        Rainbow.setDatatype(DataType::UInt16);
+        Rainbow.setBackend("cpu");
+        MakeRainbow<std::uint16_t>(Rainbow);
         // Tensor view(Rainbow, {2, 2, 3}, {0, 1, 1});
         // for (Coord_t a = 0; a < view.dims()[0]; ++a)
         // {