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dpnp.array doesn't return dpnp.ndarray #1570
Description
Description
dpnp.array returns the same object, it is expected that it will return wrapped dpnp.ndarray with the same sycl_usm_arrray_interface.
>>> import dpctl
>>> import dpctl.tensor as dpt
>>> import dpnp
>>> dpctl_arr = dpctl.tensor.zeros(12, usm_type="device", sycl_queue=dpctl.SyclQueue("gpu"))
>>> dpctl_arr
usm_ndarray([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
>>> result = dpnp.array(dpctl_arr, copy=False)
>>> result
usm_ndarray([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])
>>> type(result)
<class 'dpctl.tensor._usmarray.usm_ndarray'>Env
Python 3.10.13
conda list | grep dp
dpctl 0.15.0rc2
dpnp 0.13.0rc2
mkl-dpcpp 2024.0.0
Activity
Add tests for gh-1570
Correct return of object type at zero copy (#1571)
vlad-perevezentsev commentedon Sep 26, 2023
This issue was solved by #1571
It was due to #1526 which added a new condition in
def asarrayto return the input argument if dpctl returns zero copying but did not check the case when the input array isusm_ndarray.Thanks for creating the issue .