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Thanks for sharing your work! I have noticed that the generator's output is in range [-1, 1] (since a tanh function follows the last layer), but it does not match the teacher's input range. In dataloader.py, every different dataset is normalized, e.g. CIFAR10:
which indicates that the input range of teacher is in around [-2.5, 2.5]. The range of the generator's output is a subset of the teacher's input.
More importantly, I found that fixing this mismatch would affect the final accuracy of student. Could you please tell the reason of this mismatch or handle this problem? Thanks!
The text was updated successfully, but these errors were encountered:
Thanks for sharing your work! I have noticed that the generator's output is in range [-1, 1] (since a tanh function follows the last layer), but it does not match the teacher's input range. In dataloader.py, every different dataset is normalized, e.g. CIFAR10:
which indicates that the input range of teacher is in around [-2.5, 2.5]. The range of the generator's output is a subset of the teacher's input.
More importantly, I found that fixing this mismatch would affect the final accuracy of student. Could you please tell the reason of this mismatch or handle this problem? Thanks!
The text was updated successfully, but these errors were encountered: