Why is autograd so complicated
PyTorch Developer Podcast - Podcast tekijän mukaan Edward Yang, Team PyTorch
Kategoriat:
Why is autograd so complicated? What are the constraints and features that go into making it complicated? What's up with it being written in C++? What's with derivatives.yaml and code generation? What's going on with views and mutation? What's up with hooks and anomaly mode? What's reentrant execution? Why is it relevant to checkpointing? What's the distributed autograd engine?
