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Implementation of EvoNorm gives NaN loss
Hi.
I tried implementing EvoNorm as per the paper. Firstly, the pseudo code presented in the paper has an error in the group_std function as after getting moments across dimension [2,3,4], it is impossible to reshape it back to the original shape of the input tensor. However, I did solve it using the expand function in PyTorch but now I'm getting NaN loss in training. Could you maybe point out what's the issue with my implementation. Link - https://github.com/digantamisra98/EvoNorm/blob/master/evonorm2d.py
Thanks!
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