I'd love to try out Torch7, but I've grown accustomed to Theano's automatic differentation, which is the killer feature for me. That's the one thing keeping me

I'd love to try out Torch7, but I've grown accustomed to Theano's automatic differentation, which is the killer feature for me. That's the one thing keeping me from exploring the alternatives. Not having to calculate any gradients makes trying different architectures and activation functions a lot less daunting. Are there any plans for Torch7 to support something similar? I suppose it would be nontrivial since to my knowledge Torch7 does not use symbolic representations of the computations internally, which is what enables Theano to do automatic differentation in the first place.