PyTorch Developer Podcast
Ein Podcast von Edward Yang, Team PyTorch
83 Folgen
-
Code generation
Vom: 4.6.2021 -
Why is autograd so complicated
Vom: 3.6.2021 -
__torch_function__
Vom: 2.6.2021 -
TensorIterator
Vom: 1.6.2021 -
native_functions.yaml
Vom: 28.5.2021 -
Serialization
Vom: 27.5.2021 -
Continuous integration
Vom: 26.5.2021 -
Stacked diffs and ghstack
Vom: 25.5.2021 -
Shared memory
Vom: 24.5.2021 -
Automatic mixed precision
Vom: 21.5.2021 -
Conjugate views
Vom: 20.5.2021 -
History and constraints of Tensor
Vom: 19.5.2021 -
How new operators are authored
Vom: 18.5.2021 -
The life and death of Variable
Vom: 17.5.2021 -
Backend extensibility
Vom: 14.5.2021 -
The road to structured kernels
Vom: 13.5.2021 -
Functionalization
Vom: 12.5.2021 -
Just enough CUDA to be dangerous
Vom: 11.5.2021 -
Inference mode
Vom: 10.5.2021 -
Vectorization
Vom: 7.5.2021
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.
