๐ง PyTorch Attention: From Scratch vs Built-in
Compare implementing attention yourself vs using nn.MultiheadAttention
Click "Next Step" to walk through both implementations side by side.
See how PyTorch's built-in layer handles the same operations.
Step 0/6 - Ready to Start
๐ก Key Insight
- Same Math: Both compute Attention(Q,K,V) = softmax(QKT/โd) ร V
- Different Code: Built-in is ~3 lines vs ~15 lines from scratch
- Same Result: Output tensors are mathematically equivalent
- Learn Both: Understand from scratch, deploy with built-in!