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If tinygrad wasn't small enough for you...
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teenygrad is <1000 line MNIST trainer It shares 90% of its code with tinygrad, so understanding teenygrad is a good step to understanding tinygrad. While it supports most of tinygrad's functionality, the extra 3k lines in tinygrad get you speed and diverse backend support. tensor.py and mlops.py are both tinygrad's and teenygrad's frontend. lazy.py is a replacement for all of tinygrad's backend. The only dependency of teenygrad is numpy (well, and tqdm) Usage: pip install numpy tqdm PYTHONPATH="." python mnist.py
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