There’s no doubt about its fan following in the research community and even I have a personal preference for PyTorch. But, people  in the industry still express concerns about the differences in results when the same code runs on a gpu vs a tpu vs a cpu plus, it’s support in various cloud/infra platforms . Am yet to witness them for myself though and still, unable to fathom or validate their concerns.
But, at the end of the day, our leadership just made us to pick up Keras to write the code for production and I really wasn’t aware enough of the advantages PyTorch has on offer, to defend my interests and nullify their concerns