Python Array API for sum function states:
If the data type (either specified or resolved) differs from the data type of x, the input array should be cast to the specified data type before computing the sum ...
With this in mind, dpctl does not behave correct
import dpctl.tensor as dpt
a = dpt.asarray([-1, 1], dtype=dpt.int32)
dpt.sum(a)
# usm_ndarray(0)
dpt.sum(a, dtype=dpt.bool)
# usm_ndarray(False)
# However what array API is specifying is
dpt.sum(dpt.astype(a, dpt.bool), dtype=dpt.bool)
# usm_ndarray(True)
# NumPy follows Array API
import numpy
numpy.__version__
# '2.2.0'
b = numpy.zeros(2, dtype=numpy.int32)
b.sum()
# np.int64(0)
b.sum(dtype=numpy.bool_)
# np.False_
Python Array API for
sumfunction states:With this in mind,
dpctldoes not behave correct