Testing of model builds

Model build needs to be added to testing. Starting with classifier.py, with some variable arguments, the classifier needs to be tested for having the right parameter sizes as well as output given input shape. Some dummy data can be used (it can just be zeros tensor). It would be good to also test if dropout, batch norm, spectral norm layers, etc, are appearing as they should.