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Potential Bug: inconsistent pixel value range for tiny-imagenet models #1

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njuaplusplus opened this issue Jul 12, 2020 · 0 comments

njuaplusplus commented Jul 12, 2020

The pixel range of ULP in tiny-imagenet/train_ULP.py is [0,255].

However, when training the clean/poisoned models, the pixel range of inputs is [0, 1] because of the transforms.ToTensor() in tiny-imagenet/train_clean_model.py

See transforms.ToTensor doc.

I wonder if the inconsistency is made purposely or is a bug. Because for CIFAR-10 experiments, the range is the same [0, 255].

By the way, I also wonder why the range [0, 255] was used instead of the usual [0, 1]. Are there any particular reasons?

Thanks.

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