PyTorch Developer Podcast

A podcast by Edward Yang, Team PyTorch

Categories:

83 Episodes

  1. API design via lexical and dynamic scoping

    Published: 7/9/2021
  2. Intro to distributed

    Published: 7/8/2021
  3. Double backwards

    Published: 7/7/2021
  4. Functional modules

    Published: 7/6/2021
  5. CUDA graphs

    Published: 6/28/2021
  6. Default arguments

    Published: 6/25/2021
  7. Anatomy of a domain library

    Published: 6/24/2021
  8. TensorAccessor

    Published: 6/23/2021
  9. Random number generators

    Published: 6/22/2021
  10. vmap

    Published: 6/21/2021
  11. Expect tests

    Published: 6/18/2021
  12. XLA

    Published: 6/17/2021
  13. TH

    Published: 6/16/2021
  14. TorchScript

    Published: 6/15/2021
  15. CMake

    Published: 6/14/2021
  16. torchdeploy

    Published: 6/11/2021
  17. C++ frontend

    Published: 6/10/2021
  18. PyObject preservation

    Published: 6/9/2021
  19. Mobile selective build

    Published: 6/8/2021
  20. torch.nn

    Published: 6/7/2021

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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.