PyTorch Developer Podcast
A podcast by Edward Yang, Team PyTorch
83 Episodes
-
Weak references
Published: 6/06/2022 -
Strides
Published: 30/05/2022 -
AOTAutograd
Published: 9/05/2022 -
Dispatcher questions with Sherlock
Published: 2/05/2022 -
New CI
Published: 25/04/2022 -
Python exceptions
Published: 17/04/2022 -
Torch vs ATen APIs
Published: 11/04/2022 -
All about NVIDIA GPUs
Published: 24/09/2021 -
Tensor subclasses and Liskov substitution principle
Published: 16/09/2021 -
Half precision
Published: 10/09/2021 -
DataLoader with multiple workers leaks memory
Published: 1/09/2021 -
Batching
Published: 18/08/2021 -
Multiple dispatch in __torch_function__
Published: 10/08/2021 -
Multithreading
Published: 3/08/2021 -
Asynchronous versus synchronous execution
Published: 27/07/2021 -
gradcheck
Published: 23/07/2021 -
torch.use_deterministic_algorithms
Published: 21/07/2021 -
Reference counting
Published: 20/07/2021 -
Memory layout
Published: 13/07/2021 -
pytorch-probot
Published: 12/07/2021
The PyTorch Developer Podcast is a place for the PyTorch dev team to do bite sized (10-20 min) topics about all sorts of internal development topics in PyTorch.
