[PeterisP]

While the author says "Don’t mistake Swift for TensorFlow as a simple wrapper around TensorFlow to make it easier to use on iOS devices." , the only thing Python is missing from his wishlislist of features is "6. Native execution on mobile".

"7. Performance closer to C" is a non-issue - all the parts where performance matters are going to run on CUDA anyway and there's no performance hit there, and very little computing time is spent in the actual python code.

[throwaway84742]

Still an issue, just not where you think. For recent, more efficient CNN architectures _data augmentation_ is a bottleneck when done on a single thread. So Python has to resort to either queues and async (TF approach, worse perf than PyTorch in practice), or use multiprocessing (PyTorch approach, works better but ugly AF under the covers). I would absolutely love to use a multi core-capable language there. The machine does have several dozen cores after all.