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One of the major benefits of TF 2.0 is apparently the capability to quickly deploy to TPU units with a single parameter change. (I haven't tried it, just followed the marketing).

AFAIK, This is still being worked on PyTorch via XLA, but not quite there yet.

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I've found that with TF in general you can only go "quickly" if everything works. If anything is busted you're more or less screwed because it's so opaque. In contrast, PyTorch lets you inspect whatever you want by setting a pdb breakpoint, and when it gives you errors you most of the time can figure out what's wrong without debugging. The importance of this cannot be overstated.

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