I liked the idea of decoupling computation and parameters.
But I am new to pytorch, and could not find a way to use the functional interface of recurrent neural networks, if there any? It appears, from another thread, that double backwards in RNNs is not supported.
Is there any workarounds that allow me to generate variable parameters for RNNs?