PyTorch Developer Podcast

A podcast by Edward Yang, Team PyTorch

Categories:

83 Episodes

  1. Weak references

    Published: 6/6/2022
  2. Strides

    Published: 5/30/2022
  3. AOTAutograd

    Published: 5/9/2022
  4. Dispatcher questions with Sherlock

    Published: 5/2/2022
  5. New CI

    Published: 4/25/2022
  6. Python exceptions

    Published: 4/17/2022
  7. Torch vs ATen APIs

    Published: 4/11/2022
  8. All about NVIDIA GPUs

    Published: 9/24/2021
  9. Tensor subclasses and Liskov substitution principle

    Published: 9/16/2021
  10. Half precision

    Published: 9/10/2021
  11. DataLoader with multiple workers leaks memory

    Published: 9/1/2021
  12. Batching

    Published: 8/18/2021
  13. Multiple dispatch in __torch_function__

    Published: 8/10/2021
  14. Multithreading

    Published: 8/3/2021
  15. Asynchronous versus synchronous execution

    Published: 7/27/2021
  16. gradcheck

    Published: 7/23/2021
  17. torch.use_deterministic_algorithms

    Published: 7/21/2021
  18. Reference counting

    Published: 7/20/2021
  19. Memory layout

    Published: 7/13/2021
  20. pytorch-probot

    Published: 7/12/2021

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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.