Standard forward pass. The model's forward() method must be a standard tensor-in, logits-out computation. No problem-specific control flow (for-loops over digits, explicit carry variables, string manipulation) inside forward(). The autoregressive generation loop lives outside the model, exactly as it would for any language model.
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The simultaneous constraints of code quality requirements via AGENTS.md, speed requirements with a quantifiable target objective, and an output accuracy/quality requirement, all do succeed at finding meaningful speedups consistently (atleast 2x-3x)