If you want to run in production.
Even FB doesn't use PyTorch in production, and instead uses Caffe2.
Even FB doesn't use PyTorch in production, and instead uses Caffe2.
It might’ve changed in the past few months as Caffe 2 matured, but there were a few internal applications that used PyTorch.
https://www.oreilly.com/ideas/why-ai-and-machine-learning-re...
Its not exactly a secret that PyTorch's tradeoffs favor research and not production.
While PyTorch is extremely cool, the fanboyism is out of hand, thinking that what's good for their corner of the universe must be awesome for every use case and therefore TF is a overcomplex turd. Its not like the people designing these systems are stupid.