Understanding Transformer Autograd by Building It Manually in PyTorch [P]
Summary
A minimal, self-contained manual autograd implementation for a transformer-based classifier in PyTorch, designed to build intuition for how autograd works under the hood and how gradients flow through attention blocks.
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