What’s the current consensus on using tensorflow 2.x vs PyTorch? [D]

I understand that many folks left TF during the TF1 to TF2 migration and never looked back. My question is what’s the current consensus on using TF2 vs PyTorch (vs Jax) and why?

From an end-to-end perspective, for me, TF2 has been good. Debugging is easier on PyTorch but the benefits are not big enough to drop everything and leave TF2 for good. What do you guys think?

Assuming that you are building AI products and deployment is a must, …

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