Even if we do not have access to the memory buffer, if we are dealing with
Tensor Types we can create a fake shared variable (all we need to know is
the number of dimensions and dtype). I've wrote a function that create such
a shared variable (that could afterwards take the real values) and used it
for the auxiliary inputs (paramters and inputs/sequences)