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Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge
Hi, @luizgh , I'm very interested in your work at CVPR2019, and I attempt to use it in the competition. However, when I was training with multiple GPUs, I found that although multiple GPUs were specified, only one GPU was working. In contrast to your implementation in CVPR2019 open source code, there may be a small mistake in your code.
In line 177:utils.requires_grad_(model.model, False) and line 189 utils.requires_grad_(model.model, True) of train_tiny_imagenet_ddn.py, I think it will be better to replace model.model with model.
My torch is version:1.0.1,and the code requires >= 0.4.1.
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