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Description
Hi,
currently xtensor python brings seamless integration of xarray
and xtensor
types with numpy. However xtensor_fixed
type is not supported. Hence the following definitions work (with m
an instance of pybind11::module
):
m.def("test_xarray", [](){return xt::xarray<int>{1,2};});
m.def("test_xtensor", [](){return xt::xtensor<int, 1>{1,2};});
while this one fails
m.def("test_xtensor_fixed", [](){return xt::xtensor_fixed <int, xt::xshape<2>>{1,2};});
at runtime. When trying to call the method from python, the following error is reported:
TypeError: Unable to convert function return value to a Python type! The signature was
() -> xt::xfixed_container<int, xt::fixed_shape<2ul>, (xt::layout_type)1, xt::xtensor_expression_tag>
Would it be possible to add seamless integration with xtensor_fixed
?