Feedback about Knowledge Distillation Tutorial

There is the following issue on this page: https://docs.pytorch.org/tutorials/beginner/knowledge_distillation_tutorial.html

I noticed a possible inconsistency in the Knowledge Distillation tutorial.

The tutorial states:

"The tensors mean=[0.485, 0.456, 0.406] and std=[0.229, 0.224, 0.225] were already computed, and they represent the mean and standard deviation of each channel in the predefined subset of CIFAR-10 intended to be the training set."

However, these values are identical to the commonly used ImageNet normalization statistics, while the CIFAR-10 training set statistics are typically reported as approximately:

• Mean: (0.4914, 0.4822, 0.4465)
• Std: (0.2470, 0.2435, 0.2616)

Could you clarify whether:

1. the tutorial intentionally uses the ImageNet normalization values, in which case the accompanying explanation should mention that; or
2. the statistics were actually recomputed for CIFAR-10, in which case I'd be interested in understanding how these values were obtained.

Thanks for the excellent tutorial!

Start with the linked Knowledge Distillation tutorial, especially the CIFAR-10 normalization section and its explanation of the mean and standard deviation. Verify whether the values are ImageNet statistics or were recomputed for CIFAR-10; done means the tutorial accurately explains the source of the values or uses the appropriate statistics.