PyTorch Developer Podcast
A podcast by Edward Yang, Team PyTorch
83 Episoade
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Code generation
Publicat: 04.06.2021 -
Why is autograd so complicated
Publicat: 03.06.2021 -
__torch_function__
Publicat: 02.06.2021 -
TensorIterator
Publicat: 01.06.2021 -
native_functions.yaml
Publicat: 28.05.2021 -
Serialization
Publicat: 27.05.2021 -
Continuous integration
Publicat: 26.05.2021 -
Stacked diffs and ghstack
Publicat: 25.05.2021 -
Shared memory
Publicat: 24.05.2021 -
Automatic mixed precision
Publicat: 21.05.2021 -
Conjugate views
Publicat: 20.05.2021 -
History and constraints of Tensor
Publicat: 19.05.2021 -
How new operators are authored
Publicat: 18.05.2021 -
The life and death of Variable
Publicat: 17.05.2021 -
Backend extensibility
Publicat: 14.05.2021 -
The road to structured kernels
Publicat: 13.05.2021 -
Functionalization
Publicat: 12.05.2021 -
Just enough CUDA to be dangerous
Publicat: 11.05.2021 -
Inference mode
Publicat: 10.05.2021 -
Vectorization
Publicat: 07.05.2021
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.
