code: def loss_hook(self, module, input, output):
      loss = super(MSELoss, self).loss_hook(module, input, output)
      module.bc_loss = module.bc_loss.sqrt()
      module.fc_loss = module.fc_loss.sqrt()
      return loss
  
imports: from typing import TYPE_CHECKING, Optional
  import torch
  from torch import Tensor, BoolTensor
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the MSELoss obj's underlying member method code with example usage: obj.loss_hook(module, input, output) and returns: loss