The docs make it quite clear on how to adapt a std::vector
to a tensor object.
https://xtensor.readthedocs.io/en/latest/adaptor.html
std::vector<double> v = {1., 2., 3., 4., 5., 6. };
std::vector<std::size_t> shape = { 2, 3 };
auto a1 = xt::adapt(v, shape);
But how can you do it for the other way round?
xt::xarray<double> a2 = { { 1., 2., 3.} };
std::vector<double> a2vector = ?;
You can construct a std::vector
from iterators. For your example:
std::vector<double> w(a1.begin(), a1.end());
The complete example then becomes:
#include <vector>
#include <xtensor/xadapt.hpp>
#include <xtensor/xio.hpp>
int main()
{
std::vector<double> v = {1., 2., 3., 4., 5., 6.};
std::vector<std::size_t> shape = {2, 3};
auto a1 = xt::adapt(v, shape);
std::vector<double> w(a1.begin(), a1.end());
return 0;
}
References:
1.7.1 Adapting std::vector