Comments (5)
@liu666666 Hey Bro, I found one Quantization tool which could compress the .caffemodel into the .npz(stored in data, Codebook, labels) at https://github.com/yuanyuanli85/CaffeModelCompression, This solved my problem, probably could solve yours.
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I have the same problem here..don't seem to understand how to transform the current data to the smaller one.n@may0324
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同问。。。。。。
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@A-suozhang thanks
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@liu666666 Hey Bro, I found one Quantization tool which could compress the .caffemodel into the .npz(stored in data, Codebook, labels) at https://github.com/yuanyuanli85/CaffeModelCompression, This solved my problem, probably could solve yours.
@A-suozhang Hello,I used the Quantization tool you recommended, I want to store and quantify the sparse matrix that has been pruned for AlexNet, and there is no problem when I run./build.sh.However, when I ran python caffemodel_compress. py, the following error occurred. I tried all kinds of methods but couldn't find the problem
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Related Issues (11)
- snapshot crasp HOT 22
- Individual processing HOT 2
- I encounter a problem when running the Python script code
- caffe version
- .cu version
- Weired problem when pruning fc6 of caffenet
- Can it also work on VGG-16?
- when run the last Quantization, Floating point exception(SIGFPE) HOT 1
- 有几个Caffe层实现的疑问 HOT 1
- 编译的时候头文件没有masks_等参数的定义
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