nhzlx / auto_pruning Goto Github PK
View Code? Open in Web Editor NEWauto Iterative pruning based on caffe
License: Other
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About the detail of your method？
can you describe the details of your method？
训练结束的模型*.caffemodel，除了存储parameter还有mask， 所以比原始模型大一倍是正常的。后续须自行处理。
请问后续要怎么才能把模型变小呢？
如何选择那些连接裁剪
你好，看了代码，没有看明白你是如何判断那些连接被裁剪掉，那些需要保留，还有，你着代码是参考dynamic network surgery的吗
weight_mask也存在1开始不断下降
有下面几个问题：
1)compress_conv_layer.cu中Forward_gpu中关于weightMaskCPU不应该重复全部设置1
2)weightMaskCPU的数据中不是0,就是1，但是在训练过程中，数据不断降低，这里数据不应该应用梯度下降
target_blobs.size() == source_layer.blobs_size() (3 vs. 2)
将原来的Convolution改成CConvolution，再加上convolution_param后，用预训练模型训练，就报了这个错误，是我哪里没做对吗，求助
非常抱歉，此repo不再进行维护
help
Hi, Thank you very much for your open source code, how can the pruning model become smaller?Can you provide a small implementation example? thanks for your help.
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