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LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

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When I implement pytorch version, I met the matrix inverse(torch.inverse(BxB^T)) doesn't have, How Can I promise the probility,

Thanks for sharing the code. Would you mind sharing the version fo tensorpack and tensorflow? For my case, there are some bugs related with the version. Thanks!

I wanted to quantize weights only. Should 'qa' be set equal to 0/32? Thanks

Hi so i am trying to replicate training using your code for resnet50 . Would it be possible for to know the hardware setup you used ,nvidia driver , tensor...

I am trying to run the code in the usage part of the README file. `python imagenet.py --gpu 0,1,2,3 --data /home/bcrc/Datasets/imagenet --mode pre .......` However, I encountered 'core dump' error...