Functionalization in PyTorch
January 16, 2025
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January 16, 2025
January 12, 2025
Training large models today is tightly coupled to specific hardware. This makes moving workloads across systems or abstracting the hardware almost impossible without losing efficiency, and hence why you don’t tend to see a lot of uptake of the kind of cloud-like abstractions we see elsewhere.
January 8, 2025
I had missed this, but weights-only is going to be the default for torch.load in Pytorch 2.6:
January 6, 2025
January 2, 2025
January 1, 2025
December 31, 2024
Just got round to reading the intro post to the (now improved) thunderkittens kernel DSL.
December 29, 2024
December 23, 2024
December 22, 2024
https://github.com/ezyang/tlparse – or pip install tlparse