[Feature request] Support different `out` dtypes for elementwise func

[vlad-perevezentsev]

Current implementations of elementwise functions in dpctl.tensor do not support out data type other than bool and raise ValueError if out is not bool.

import dpctl.tensor as dpt

a = dpt.asarray([1,2,3])
out = dpt.empty_like(a,dtype='f4')
dpt.logical_not(a,out=out)

# ValueError: Output array of type bool is needed, got float32

While numpy can cast the result depending on out data type.

import numpy

a_np = dpt.asnumpy(a)
out_np = dpt.asnumpy(out)
numpy.logical_not(a_np, out_np)

# array([0., 0., 0.], dtype=float32)

Since the Python Array API has no description for out parameter we can implement any logic we want. I think it would be useful to follow the logic of numpy and cast the result depending on out data type.