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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
importdpctl.tensorasdpta=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 APIimportnumpynumpy.__version__# '2.2.0'b=numpy.zeros(2, dtype=numpy.int32)
b.sum()
# np.int64(0)b.sum(dtype=numpy.bool_)
# np.False_