Layering Keras on top of another framework, such as Theano, is useful because it gains compatibility with code using that other framework. If Keras and PyTorch are both similar (in spirit and API) to Torch, integrating PyTorch-based code as is into Keras project would be very low-value compared to a presumably easy translation to Keras.