soft-filter-pruning

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get_small_model.py无法跑

1

torch 0.3.1版本太低了，有没有在高版本的解决策略

DAWEIFA

Hello, I must thank you for sharing your good work with us. I however have one question about the implementation. I am trying to perform pruning on a pretrained model....

ANUSHAJAY

why add bn_value in imagenet_resnet_small.py

3

你好，这里的bn_value不就是bn3.weight吗？为什么residual还要再加一次呢？ ` residual += self.bn_value.cuda() residual.index_add_(1, self.index.cuda(), out) residual = self.relu(residual) `

Emily0219

tomshalini

这个源码里面算法的实现方式跟你论文里面的是不是不相符，每个剪枝步骤实际更改了权重。

lswzjuer

state dict length is one of 102, 182, 267, 522?

13

Hi, may I know how to use the get_small_model.py? I tried to repeat the resnet50 pruning_train.py on imagenet and get the resnet50 checkpoint, then i load the model using get_small_model.py....

simon5u


curryJ

I don't understand the parameter layer_inter's meaning. Is it a representation of the type of layer,like the 1 is conv layer and the two is another type layer,or is it...

curryJ

关于ASFP论文中的问题

1

1、图3第三行关于ASFP的示图的第二张，2号filter经过剪枝后的importance是不是应该是0呢？（图中写的是0.734） 2、图5中的固定点的拟合指数函数是不是写错了呢？我理解的是f(x)指x轮下的剪枝率，是由（6）、（7）等式及Pmax=30，D=1/8和三个固定点来计算的，但图中的f(x)=30.000e^(0.055x)+70.000似乎对不上？ 希望得到您的解答，谢谢！

helenxxz

get small model

2

Hi, I notice that your get_small_model.py just can be used for resnet. But I want to use this code for other network. Could you give me some advice? Look forward...

chaos1992