PyTorch Developer Podcast
A podcast by Edward Yang, Team PyTorch
83 Episoade
-
Weak references
Publicat: 06.06.2022 -
Strides
Publicat: 30.05.2022 -
AOTAutograd
Publicat: 09.05.2022 -
Dispatcher questions with Sherlock
Publicat: 02.05.2022 -
New CI
Publicat: 25.04.2022 -
Python exceptions
Publicat: 17.04.2022 -
Torch vs ATen APIs
Publicat: 11.04.2022 -
All about NVIDIA GPUs
Publicat: 24.09.2021 -
Tensor subclasses and Liskov substitution principle
Publicat: 16.09.2021 -
Half precision
Publicat: 10.09.2021 -
DataLoader with multiple workers leaks memory
Publicat: 01.09.2021 -
Batching
Publicat: 18.08.2021 -
Multiple dispatch in __torch_function__
Publicat: 10.08.2021 -
Multithreading
Publicat: 03.08.2021 -
Asynchronous versus synchronous execution
Publicat: 27.07.2021 -
gradcheck
Publicat: 23.07.2021 -
torch.use_deterministic_algorithms
Publicat: 21.07.2021 -
Reference counting
Publicat: 20.07.2021 -
Memory layout
Publicat: 13.07.2021 -
pytorch-probot
Publicat: 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.
