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Visualization of picoGPT #14
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I am finding nanoGPT useful as a playground for modeling refactors to llama.cpp. I was thinking of adding a third script that is instrumented so you can run experiments and get quick feedback on asymptotic behavior. Call graph annotated with memory/CPU usage is definitely one output. Any others you can think of? Here is the list of experiments I want:
Ideally I want to make picoGPT something z3py uses as a reference GPT solver. |
The tiny codebase should be kept as-is. Perhaps fork the repo elsewhere, and list notable forks at the bottom of the README? Notable picoGPT uses
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wrong link |
Great work! For beginners, here's a graphical representation of your code. Feel free to embed it in your scripts:
https://gctpy.com/graph/1ca770a1905176a355836d485ee7c8fc5b97e74ae058fce332ca59fdcf4ac919. It shows how different functions connect to other functions in your code. This was generated for gpt.py
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