It doesn't matter. Most of the time, especially with Tensorflow, you will have a static computation graph somewhere. Nothing (well, implementation-defined) prev

It doesn't matter. Most of the time, especially with Tensorflow, you will have a static computation graph somewhere. Nothing (well, implementation-defined) prevent you compile that into CoreML / Caffe / Caffe2 or just Tensorflow lean version to get deployed. PyTorch is a bit different because it supports dynamic graph.