83 Épisodes

  1. API design via lexical and dynamic scoping

    Publié: 09/07/2021
  2. Intro to distributed

    Publié: 08/07/2021
  3. Double backwards

    Publié: 07/07/2021
  4. Functional modules

    Publié: 06/07/2021
  5. CUDA graphs

    Publié: 28/06/2021
  6. Default arguments

    Publié: 25/06/2021
  7. Anatomy of a domain library

    Publié: 24/06/2021
  8. TensorAccessor

    Publié: 23/06/2021
  9. Random number generators

    Publié: 22/06/2021
  10. vmap

    Publié: 21/06/2021
  11. Expect tests

    Publié: 18/06/2021
  12. XLA

    Publié: 17/06/2021
  13. TH

    Publié: 16/06/2021
  14. TorchScript

    Publié: 15/06/2021
  15. CMake

    Publié: 14/06/2021
  16. torchdeploy

    Publié: 11/06/2021
  17. C++ frontend

    Publié: 10/06/2021
  18. PyObject preservation

    Publié: 09/06/2021
  19. Mobile selective build

    Publié: 08/06/2021
  20. torch.nn

    Publié: 07/06/2021

3 / 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