How can I change 3D Libtorch tensor into 3D eigen nested array(or matrix)

Question

I need the 3D eigen nested array, which can be transfered from Libtorch tensor. The example code is as follows:

typedef Eigen::Matrix<float, Eigen::Dynamic, Eigen::Dynamic, Eigen::RowMajor> MatrixXf_rm;
typedef Eigen::Array<MatrixXf_rm, Eigen::Dynamic, 1> DMVector;

int main()
{
    std::cout << "Testing Libtorch to Eigen" << std::endl;
    auto T = torch::rand({3, 3, 2});
    std::cout << "Libtorch:" << std::endl;
    std::cout << T << std::endl;
    DMVector result = DMVector::Constant(3, 1, MatrixXf_rm());
    for (int i = 0; i < 3; i++)
    {
        float* data = T[i].data_ptr<float>();
        Eigen::Map<MatrixXf_rm> E(data, T[i].size(0), T[i].size(1));
        result(i) = E;
    }
    return 0;
}

I can get the right result from the above code. But I don not want to do it in a for loop way: for (int i = 0; i < 3; i++). Is there a solution that can get the same result as the above code without the for loop?