Some questions about the code

[xiaolonghao]

eq1:What is the role of the "LearnableBias" class in the code? eq2:How to understand the correspondence between w^r^' in the paper and line 100 in 'resnet.py' in the code. That is “scaling_factor = gamma * torch.mean(torch.mean(torch.mean(abs(real_weights),dim=3,keepdim=True),dim=2,keepdim=True),dim=1,keepdim=True)” thank you.