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大佬,您好!我看您的这份开源工作中只对每一层的权值与激活值进行了量化、反量化操作,然后输出作为下一层的输入,然后再作为下一层的输入作激活的量化反量化;但是我看别的一些量化代码中,除了对每一层的激活值、权值进行量化,还对每一层的输出进行量化、反量化,想请教一下大佬这是为啥?因为该层的输出量化不就是下一层的输入激活值量化吗?
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实际中会有很多多分支操作,以及混合精度量化,所以每层都是完整的对输入,权重,输出都量化会更通用
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大佬,您好!我看您的这份开源工作中只对每一层的权值与激活值进行了量化、反量化操作,然后输出作为下一层的输入,然后再作为下一层的输入作激活的量化反量化;但是我看别的一些量化代码中,除了对每一层的激活值、权值进行量化,还对每一层的输出进行量化、反量化,想请教一下大佬这是为啥?因为该层的输出量化不就是下一层的输入激活值量化吗?
The text was updated successfully, but these errors were encountered: