[D] Should I transfer all my work to PyTorch already?

I've been using Tensorflow since 2017. I know it wasn't ideal or easy back then, but as an early adopter, I became very proficient with it and it has improved a lot since then. I have developed and deployed many custom models in low-level TF, both with and without utilizing the Keras abstractions. I am very comfortable with it in general.

But I'm noticing now that Pytorch is gaining more popularity, all the younger practitioners, who got into deep learning …

custom models easy low machinelearning pytorch tensorflow transfer work