the first append allocates a backing store of length 4 from the stack.
const consumer1 = shared.pull();
。关于这个话题，im钱包官方下载提供了深入分析
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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