PyTorch Developer Podcast
Un podcast de Edward Yang, Team PyTorch
83 Épisodes
-
Weak references
Publié: 06/06/2022 -
Strides
Publié: 30/05/2022 -
AOTAutograd
Publié: 09/05/2022 -
Dispatcher questions with Sherlock
Publié: 02/05/2022 -
New CI
Publié: 25/04/2022 -
Python exceptions
Publié: 17/04/2022 -
Torch vs ATen APIs
Publié: 11/04/2022 -
All about NVIDIA GPUs
Publié: 24/09/2021 -
Tensor subclasses and Liskov substitution principle
Publié: 16/09/2021 -
Half precision
Publié: 10/09/2021 -
DataLoader with multiple workers leaks memory
Publié: 01/09/2021 -
Batching
Publié: 18/08/2021 -
Multiple dispatch in __torch_function__
Publié: 10/08/2021 -
Multithreading
Publié: 03/08/2021 -
Asynchronous versus synchronous execution
Publié: 27/07/2021 -
gradcheck
Publié: 23/07/2021 -
torch.use_deterministic_algorithms
Publié: 21/07/2021 -
Reference counting
Publié: 20/07/2021 -
Memory layout
Publié: 13/07/2021 -
pytorch-probot
Publié: 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.
