83 Episodes

  1. API design via lexical and dynamic scoping

    Published: 9/07/2021

  2. Intro to distributed

    Published: 8/07/2021

  3. Double backwards

    Published: 7/07/2021

  4. Functional modules

    Published: 6/07/2021

  5. CUDA graphs

    Published: 28/06/2021

  6. Default arguments

    Published: 25/06/2021

  7. Anatomy of a domain library

    Published: 24/06/2021

  8. TensorAccessor

    Published: 23/06/2021

  9. Random number generators

    Published: 22/06/2021

  10. vmap

    Published: 21/06/2021

  11. Expect tests

    Published: 18/06/2021

  12. XLA

    Published: 17/06/2021

  13. TH

    Published: 16/06/2021

  14. TorchScript

    Published: 15/06/2021

  15. CMake

    Published: 14/06/2021

  16. torchdeploy

    Published: 11/06/2021

  17. C++ frontend

    Published: 10/06/2021

  18. PyObject preservation

    Published: 9/06/2021

  19. Mobile selective build

    Published: 8/06/2021

  20. torch.nn

    Published: 7/06/2021

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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.

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