I know one of the biggest struggles of training RNNs in TensorFlow, for instance, is the fact that the graph is static. Other frameworks, like PyTorch, have dynamic graphs.

Will Caffe2 support dynamic graphs (perhaps down the line)? What is your reasoning behind whichever decision?