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mixup: Beyond Empirical Risk Minimization
Hi, this is a very nice interpretation of mixup using mxnet, I have a question about the "is_train" in resnet_mixup, I think the mixed data and labels are used only in training process, when eval accuracy the data is not mixed.
But in this code, I don't know where set the "is_train" false when get test acc in training. Thx if providing some more information.
The implementation of vanilla resnet 50 get 93%+ on cifar10 without mixup.
https://github.com/kuangliu/pytorch-cifar
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