Comments (1)
- What do you mean by "quantifying acceleration"?
- The installation guideline is already provided in the README.md. You need to download images (or prepare you own), install ATLAS and OpenVML, and then compile the source code. If you need to run the original network, you still need to download the model files from the provided link.
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Related Issues (20)
- Other Model Architectures HOT 1
- Error correction and fine-tune questions HOT 2
- questions about codebook HOT 4
- Not able to read binary file HOT 13
- help
- help
- OpenVML installation HOT 3
- Quantizeing the Fully-connected Layer--->look-up table HOT 2
- https://github.com/jiaxiang-wu/caffe-QCNN HOT 2
- the onedrive file not exist( ILSVRC12.227x227.IMG and AlexNet/Bin.Files ) HOT 2
- how to do the quantization about inputs and weights ? HOT 14
- question about your paper HOT 1
- How to apply your framework on Android platform
- 如何实现Error Correction HOT 1
- 您的这篇工作十分有趣,请问有pytorch版本的实现吗? HOT 3
- Is QCNN suitable to fully convolution net(FCN)? HOT 2
- Program crashed right before ends: Double release buffer in ~CaffeEva::~CaffeEva(void) HOT 1
- The result is weird. HOT 17
- implement issues about error correction for fully connect layer ? HOT 14
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