PyTorch Developer Podcast

83 Episodes

1. Code generation

   Published: 6/4/2021
2. Why is autograd so complicated

   Published: 6/3/2021
3. __torch_function__

   Published: 6/2/2021
4. TensorIterator

   Published: 6/1/2021
5. native_functions.yaml

   Published: 5/28/2021
6. Serialization

   Published: 5/27/2021
7. Continuous integration

   Published: 5/26/2021
8. Stacked diffs and ghstack

   Published: 5/25/2021
9. Shared memory

   Published: 5/24/2021
10. Automatic mixed precision

    Published: 5/21/2021
11. Conjugate views

    Published: 5/20/2021
12. History and constraints of Tensor

    Published: 5/19/2021
13. How new operators are authored

    Published: 5/18/2021
14. The life and death of Variable

    Published: 5/17/2021
15. Backend extensibility

    Published: 5/14/2021
16. The road to structured kernels

    Published: 5/13/2021
17. Functionalization

    Published: 5/12/2021
18. Just enough CUDA to be dangerous

    Published: 5/11/2021
19. Inference mode

    Published: 5/10/2021
20. Vectorization

    Published: 5/7/2021