Hi All! I have developed a research optimizer (QQN Quadratic Quasi-Newton) and published a paper on it where I am able to, but I would really like to make the algorithm itself easily available to the community for evaluation. I have a Rust, Java, and Javascript implementations, but these are built with my own learning frameworks around them (or Tensorflow.js for the last), so I need to port it to something with wider usage. Tensorflow.js seems to lack a central place for optimization algorithms, and also doesn't seem super widely used? I checked out argmin (rust) but it looks like there has been no dev activity on it for about 8 months. I don't want to invest the time porting to a project that might have the same issue! This space is always changing and hard to keep up with, so I thought you guys would have some good ideas. Also, I'm looking for something close-to-metal and strongly typed. Thank you for your time! PS: Apologies if this qualifies as a "career question" - I posted after no small amount of internal debate! submitted by /u/Kooky-Bit8706 [link] [Kommentare]

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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! 🙂 submitted by /u/Other-Eye-8152 [link] [Kommentare]

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