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The files are names as quant_closest_<dataset>_atmc_<cr>.pth. For example, the file quant_closest_svhn_atmc_0.005.pth is the ATMC 8-bit model on SVHN dataset with 0.005 compression ratio (0.5% non-zero model parameters).
You can evaluated them using {dataset}/inference_model.py.
For example, use the following command to evaluate robustness against PGD attacks with eps=4 (controlled by attack_eps parameter) and iter=7 (controlled by attack_iter parameter) on SVHN dataset. (Set loaddir and data_root as proper file paths on your own machine.)
Could you provide us with saved models?
Thanks!
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