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Pytorch implementation of Google Quantization

Experimental results:

MOdel Weight Bit Act Bit top-1
Res-50 8 8 75.46%

The pruning schemes follow these papers:

@article{jacob2017quantization,
  title={Quantization and training of neural networks for efficient integer-arithmetic-only inference},
  author={Jacob, Benoit and Kligys, Skirmantas and Chen, Bo and Zhu, Menglong and Tang, Matthew and Howard, Andrew and Adam, Hartwig and Kalenichenko, Dmitry},
  journal={arXiv preprint arXiv:1712.05877},
  year={2017}
}

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pytorch implementation of Google quantization

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