Inconsistency between torch.clamp() and numpy.clip() behavior for complex numbers

>>> a=torch.tensor([3+4j])
>>> torch.clamp(a, 2+3j, 1+5j)
tensor([(3.0000 + 4.0000j)], dtype=torch.complex128)
>>> torch.clamp(a, 1+5j, 2)
tensor([(1.0000 + 5.0000j)], dtype=torch.complex128)
>>> np.clip(a.numpy(), 1+5j, 2)
array([2.+0.j])

cc @ezyang @anjali411 @dylanbespalko