[tsbinz]

This sounds like in theory and makes you curse in practice. Trained TF model -> deployment using TF Lite is the most robust pipeline currently as far as I know.

There are lots of improvements going into pytorch for mobile at the moment, but for the moment I'll wait and see how it turns out - I didn't have much fun with caffe2 when "train in pytorch and deploy with caffe2" was the storyline FB pushed (e.g. problems with binary size and slow depthwise convolutions) so not too eager to migrate back at the moment.