Question about loss functions

[supernashg]

Hi,
It is a really nice work!

IOP-FL/federated/model_trainer_segmentation.py

Line 122 in 0f5fe60

all_loss = 10*all_loss + 0.1*torch.mean(consistency_loss) + loss_smooth

The code of loss above is not consistent with your equation-10 in your TMI paper where the coefficiency beta is 0.01 for Loss-shape and Loss-entropy.
Could you explain it? Thank you!