For what it's worth, we're hoping to integrate these APIs into our iOS version of the TensorFlow runtime, so you can maintain graph portability but still get the benefits of the optimized implementation on the platform.
That's great to hear. Can't wait for TensorFlow to fully support Windows, that's the main thing stopping us from using TF instead of MXNet as a backend. Any news on that?
Windows support is definitely being worked on and lots of progress has been made, so it will eventually arrive -- just lots of little details to work out, but we're optimistic it'll come soon.
We only just got iOS support in TensorFlow last week (https://developers.googleblog.com/2016/06/tensorflow-v09-now...), but this is something our team would like to get done, so stay tuned!