Hi, thank you for getting back to me @ricardoV94.
My apologies, I should have given an example.
My functions are to generate a simple inference case based on a dictionary input.
So lets say we have a dict with something like
{"distribution":"normal","mean":5,"sd":2}
as an input to my generate_normal_prior(specs: dict)-function.
this function returns a prior based on the input. The return value is then of type theano.var.TensorVariable. If the funtion returned i.e. a float,array,dict i may have done an assert statement verifying i got my wanted results. How to do this is less trivial to me for a function that returns a theano variable.
Hope this was clearifying