Minimal PyTorch project implements transformer autograd by hand for learning custom backward passes
ifaposto · reddit · 2026-10-28
Developer ifiaposto released a minimal, self-contained PyTorch implementation of manual autograd for a transformer-based classifier, with GitHub code and a runnable Colab notebook.
- Builds intuition for what autograd does under the hood
- Useful reference for writing custom backward passes and tracing gradient flow through attention blocks
- Positioned as a hands-on teaching resource, not a production library
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