I started using TensorFlow years ago and switched to PyTorch.
Hope ML will make switches like TensorFlow to PyTorch faster and easier, and not just the biggest companies eating the open source community. Like it have been for years.
It’s okay. Complaints are documentation, limited community support (all kinds of architecture is much more diy for it vs PyTorch).
Unrelated gripe: they architected it really poorly from a pure sw pov imo. Specifically it’s all about Python bindings for C++ so the py/c++ layer is tightly coupled both in code and in the build system.
They have a huge opportunity to fix this so, for example, rust bindings could be (reasonably trivially) generated, let alone for other languages.
I started using TensorFlow years ago and switched to PyTorch. Hope ML will make switches like TensorFlow to PyTorch faster and easier, and not just the biggest companies eating the open source community. Like it have been for years.