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HaoKun-Li avatar HaoKun-Li commented on September 26, 2024

关于问题①，可以看以下截图的代码，在warm-up阶段只更新了生成器G，在finetune阶段同时更新生成器G和量化模型;
image
关于问题②，可以看以下截图的代码，在train的时候，特意把量化模型置为eval()模式。在此模式下，量化模型中的BN statistics就是固定住的，不会更新了。
image

在前四个epoch 里unfreeze_model，不固定激活范围，是因为前四个epoch里生成器逐渐稳定，生成的图像逐渐接近原始数据分布，此时让激活范围根据生成的样本进行调整。
后面的epoch里都选择fix激活范围，是为了降低量化模型参数的收敛难度，让微调过程更加稳定。

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songyonger avatar songyonger commented on September 26, 2024

谢谢!

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