The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
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With a thousand points, you barely notice the delay. With a million, you're doing a million distance calculations for every single query. On a phone updating the map as the user scrolls, that's untenable.，详情可参考WPS官方版本下载
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