Hey,
I guess I must have misinterpreted your question then.
I thought you were looking for implementing convolution networks that worked without saving the computations for performing the BP algorithm. (aka executing them on tensors and not variables)
The documentation states that if you use volatile = True it won’t save the computational graph needed for BP, which is basically the same as executing the convolution on tensors…
Anyway, thanks for the paper. It’s always nice to read about adjacent fields of research, to broaden my own understanding of ML.