83 Épisodes

  1. Code generation

    Publié: 04/06/2021

  2. Why is autograd so complicated

    Publié: 03/06/2021

  3. __torch_function__

    Publié: 02/06/2021

  4. TensorIterator

    Publié: 01/06/2021

  5. native_functions.yaml

    Publié: 28/05/2021

  6. Serialization

    Publié: 27/05/2021

  7. Continuous integration

    Publié: 26/05/2021

  8. Stacked diffs and ghstack

    Publié: 25/05/2021

  9. Shared memory

    Publié: 24/05/2021

  10. Automatic mixed precision

    Publié: 21/05/2021

  11. Conjugate views

    Publié: 20/05/2021

  12. History and constraints of Tensor

    Publié: 19/05/2021

  13. How new operators are authored

    Publié: 18/05/2021

  14. The life and death of Variable

    Publié: 17/05/2021

  15. Backend extensibility

    Publié: 14/05/2021

  16. The road to structured kernels

    Publié: 13/05/2021

  17. Functionalization

    Publié: 12/05/2021

  18. Just enough CUDA to be dangerous

    Publié: 11/05/2021

  19. Inference mode

    Publié: 10/05/2021

  20. Vectorization

    Publié: 07/05/2021

4 / 5

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.

Visit the podcast's native language site