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在训练过程中，所有的计算都是在浮点上进行的，使用 fake_quant 模块通过夹紧和舍入的方式对量化效果进行建模，模拟 int8 的效果。它们依赖于一小部分精心挑选的数据，称为校准数据集，用于确定模型权重（有时也用于激活值）的最佳量化参数（例如缩放因子 s s 和零点 z z）。

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