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aka_types_eigen_plain_object_base_plugin.hh
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			template <bool _is_vector = IsVectorAtCompileTime, typename _Derived = Derived,
			std::enable_if_t<_is_vector and
			aka::is_eigen_matrix<_Derived>::value> * = nullptr>
			EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
			PlainObjectBase(std::initializer_list<Scalar> list) {
			static_assert(std::is_trivially_copyable<Scalar>{},
			"Cannot create a tensor on non trivial types");
			_check_template_params();
			this->template _init1<Index>(list.size());

			Index i = 0;
			for (auto val : list) {
			this->operator()(i++) = val;
			}
			}

			template <bool _is_vector = IsVectorAtCompileTime, typename _Derived = Derived,
			std::enable_if_t<not _is_vector and
			aka::is_eigen_matrix<_Derived>::value> * = nullptr>
			EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE
			PlainObjectBase(std::initializer_list<std::initializer_list<Scalar>> list) {
			static_assert(std::is_trivially_copyable<Scalar>{},
			"Cannot create a tensor on non trivial types");
			Index m = list.size();
			Index n = 0;
			for (auto row : list) {
			n = std::max(n, row.size());
			}

			if (RowsAtCompileTime != -1 and RowsAtCompileTime != m) {
			AKANTU_EXCEPTION(
			"The size of the matrix does not correspond to the initializer_list");
			}

			if (ColsAtCompileTime != -1 and ColsAtCompileTime != n) {
			AKANTU_EXCEPTION(
			"The size of the matrix does not correspond to the initializer_list");
			}

			_check_template_params();
			this->template _init2<Index, Index>(m, n);
			this->fill(Scalar{});

			Index i = 0, j = 0;
			for (auto & row : list) {
			for (auto & val : row) {
			this->operator()(i, j++) = val;
			}
			++i;
			j = 0;
			}
			}