xtensor_templates

xtensor_templates.md

 think this is the template type returned: xt::xarray_adaptor<xt::xbuffer_adaptor<double *, xt::no_ownership, std::allocator<double>>, xt::layout_type::row_major, std::vector<pybind11::ssize_t, std::allocator<pybind11::ssize_t>>, xt::xtensor_expression_tag>
I would prefer if it could just be xt:xarray. But I guess it might not be possible to turn a cstyle array into xt::xarray. I guess I have to carry around that type althrough out my code....

phmalek @phmalek 13:01
If you want to know the types only to write the appropriate function, use templates. I refere you to one of my previous issues. You can use templates for your function inputs:
  template <class T>
 int func2(const T& b)
 {
     //Do something with b
     auto b_sub = xt::view(b, xt::keep(indices), xt::all());
     auto mean = xt::mean(b_sub,0);
     return something;

 }
 int func1(xt::pyarray<float>& a)
 {
     auto a_sub = xt::view(a, xt::keep(indices), xt::all());

     int result = func2(a_sub);

     return result;
 }

int func2_py(xt::pyarray<float> b)
{
    return func2(b);
}

 PYBIND11_MODULE(example, m)
 {
     xt::import_numpy();

     m.def("func1",func1);
    m.def("func2_py",func2_py);
 }
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