Yes.

Yet in my experience PyTorch is much nicer to use. Its API feels very natural and easy to extend -- it feels very Pythonic.

TensorFlow's API, on the other hand, seems to get in my way whenever I try to do anything new that isn't already built into one of its higher-level APIs (e.g., Keras). I frequently I find myself fighting with TensorFlow's API.

For iterative R&D/exploratory work, I find I'm more productive -- and happier -- with PyTorch than TensorFlow.