How does torch.compile() achieve massive speedups despite highly optimized NumPy functions? [D]
Mirrored from r/MachineLearning for archival readability. Support the source by reading on the original site.
I was pondering on this question and decided to dive deep into torch.compile. It was a lot of fun learning about operator fusion as the central idea behind torch.compile. So I created a tiny version of torch.compile in 500 lines of python and a notebook showing how this works:
https://github.com/purohit10saurabh/tinytorchcompile
Let me know if you find this interesting! 🙂
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