Mingjie Sun

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抱歉,不太熟悉mnn转换过程,但是code 本身应该没有问题

The current code is designed to support one-shot pruning. Please take a look at the pruning code. I think for VGG you can reuse the pruning code for iterative pruning....

We don't have it yet.

channel_selection 虽然为nn.Parameter,但是训练过程中不会update,因为这个parameter只是作为feature map tensor 的index来使用的,所以backpropogation的时候不会有gradient。

which command are you running?

请问是哪个文件里的?

https://github.com/Eric-mingjie/network-slimming/blob/master/resprune.py#L153

i think you are using a large prune ratio, try smaller prune ratio e.g. 0.1, 0.2 to see if it still exists?

把幅度小的bn对应的channel剪掉,这样对accuracy影响最小。

应该是的