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为什么我自己训练出来的模型,在用你代码里面的hook计算rank的时候,每个通道的feature map的rank都差不多,不像你存下来的npy那样有明显的从高到低的排序,请问这是什么原因造成的呢?
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你的问题不属于我们代码的bug
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我知道。就是想讨论一下算法问题,如果feature map的rank区分度不大的话,就没法用这个算法剪枝了。我想问的是,这是本算法的局限性,还是意味着算法是OK的,只是模型冗余度不允许剪枝了
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为什么我自己训练出来的模型,在用你代码里面的hook计算rank的时候,每个通道的feature map的rank都差不多,不像你存下来的npy那样有明显的从高到低的排序,请问这是什么原因造成的呢?
The text was updated successfully, but these errors were encountered: