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                                            Zhengyan Zhang

int8量化感知训练，保存的模型依然是fp32

> 是不是推理的时候，bminf将线程层转换成量化线性层，最终实现参数从fp16到int8，然后bminf计算也是int8 是的，保存的精度没有变化，需要再面向bminf转换一下。

TypeErrorTypeError: : AdamOptimizer.init() got an unexpected keyword argument 'scale'AdamOptimizer.init() got an unexpected keywo$ d argument 'scale'

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Zhengyan Zhang

int8量化感知训练，保存的模型依然是fp32

TypeErrorTypeError: : AdamOptimizer.__init__() got an unexpected keyword argument 'scale'AdamOptimizer.__init__() got an unexpected keywo$ d argument 'scale'

TypeErrorTypeError: : AdamOptimizer.init() got an unexpected keyword argument 'scale'AdamOptimizer.init() got an unexpected keywo$ d argument 'scale'