Would you be able to sketch what makes PyTorch better than TF? And maybe why Google are sticking with TF -- it's not like Google lack technical ability to do / copy what PyTorch does.
Perhaps Google could copy PyTorch. But Tensorflow has a lot of overhead, and for both political/technical reasons, there's no easy path to go from Tensorflow to Pytorch.
You could just as easily ask: Why is Google sticking with {Hangouts/(Allo,Duo)/Angular} instead of doing/copying {Zoom/WhatsApp/React}? It's not like Google lacks the technical ability.
Google certainly has _technical_ capacity to do what PyTorch does, but not the _organizational_ capacity to scrap TF and start over. So they're trying to half-ass it with TF 2.0. It still sucks though.