[jeffshek]

I love PyTorch, but I’m not confident the claim that it is the most popular is close to true. The cited link, which brings up a lot of new research is in PyTorch simply doesn’t account for the amount of TensorFlow in production.

Sure, a lot of academics may be embracing PyTorch, but almost all production models have been in TensorFlow. Tesla is a huge notable example that’s using PyTorch at scale.

I do suspect that the split of TensorFlow 1 and 2 is perhaps one of the worst times for TF 2, many teams will likely try out PyTorch instead.

I think both are amazing frameworks, however TF was designed for Google Scale .... which leads to a lot of difficulties since 99.9 are not at Google scale.

[rckoepke]

Depends on how you measure it, of course. However, stackoverflow survey, google trends, and github octoverse all show PyTorch is on a steep upward trajectory that recently reached effective parity with TensorFlow and has not yet started slowing down.