I understand that this is google's library, and they're promoting TensorFlow's usage, and subsequently the usage of TPU's.

But this can just as easily be done in Pytorch right? Yes we can't have GPU's there but having your model train 50% slower (exaggeration) is better than having to spend 150% of the time taken in Pytorch to debug anything in TensorFlow.

I may be beating a dead horse here, but why doesn't google just accept that TensorFlow needs to be redesigned for more ease of use?

Can anyone point out the benefits of TensorFlow over Pytorch (besides TPU's) ? It's been a few years since I've used TF and I may have missed something.