What is vectorization? How do you use it in PyTorch? What are some of the traps and pitfalls of writing vectorized code in PyTorch?Further reading:<ul><li>native/cpu README <a href="https://github.com/pytorch/pytorch/blob/master/aten/src/ATen/native/cpu/README.md">https://github.com/.../aten/src/ATen/native/cpu/README.md</a></li><li>Vec256 classes <a href="https://github.com/pytorch/pytorch/tree/master/aten/src/ATen/cpu/vec256">https://github.com/.../tree/master/aten/src/ATen/cpu/vec256</a></li><li>AVX512 support tracking issue <a href="https://github.com/pytorch/pytorch/issues/56187">https://github.com/pytorch/pytorch/issues/56187</a></li></ul>

Inference mode

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.