Feature Extraction from Kirzhevsky net in Theano/Pylearn?

Hi, People have been using libraries like caffe etc. where they can easily extract features from these large networks. Is there some similar wrapper to do this in a Theano/Pylearn framework. I agree we could always get the features from the other libraries, and funnel them through to any code we desire, but just wanted advice if anyone has come up with wrappers/ standard ways of doing this.

Thanks