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请问作者有关一致性稀疏化训练的代码写在哪个文件夹里了呢?
是不是Learning Efficient Convolutional Networks through Network Slimming中的,也就是图4(b)的稀疏化训练的代码,不可以直接使用?
还是说图4(b)的稀疏化训练可以照常使用,之后在pruning的过程中会对前面稀疏的网络进行一致性操作?
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Hello. I got a question while reproducing your interesting experiment.
In section 2 of https://arxiv.org/pdf/1708.06519.pdf, "Scaling Factors and Sparsity-induced Penalty" shows below equation.
!…
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When calculating the [threshold](https://github.com/Eric-mingjie/rethinking-network-pruning/blob/master/cifar/network-slimming/resprune.py#L58), the weight ordering of all bn layers is used. Is this r…
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你好,mask版本的prune_mask并没有真正对权重进行剪枝,在finetune时,虽然用的是mask后的权重,但是对所有parameters进行更新,这样bn那些为0的权重不是也被训练了吗?
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您好大佬!我想了解一下稀疏训练的原理的论文或者算法支持,大佬可以分享一下嘛
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Hi,我也曾经是distiller的深度用户。
看你在这份代码增加了FPGM和HRank,想问一下这两个通道排序算法是否有效。
我个人也曾经尝试过BN-gamma[1] 、Taylor[2] 、L1[3]。
在我的大量实验下,排序效果:Taylor = L1 > BN-gamma。
想问一下,你有没有试过把FPGM和HRank和上述方法对比过呢?
[1] Learning Effic…
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Dear @AlexeyAB ,
I design a network and train it on my custom dataset by using darknet framework.
My network weight is about 280MB. I want to use Model compression technology
(Model Pruning, K…
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运行main.py时报错
100. * batch_idx / len(train_loader), loss.item(0)))
TypeError: item() takes no arguments (1 given)
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https://github.com/ZJU-lishuang/yolov5_prune/blob/126054962197a51c79140384c591b9190d146019/utils/prune_utils.py#L471
求大佬指点一二