class_docstr: Module for calculating AT Loss
  
  :param norm_type (int): Norm to be used in calculating loss
docstr: Function for calculating single attention loss
docstr_tok: ["Function","for","calculating","single","attention","loss"]
code: def single_at_loss(self, activation):
      """
      Function for calculating single attention loss
      """
      return F.normalize(
          activation.pow(self.p).view(activation.size(0), -1)
      )
  
imports: import torch.nn.functional
  from torch import nn
label_desc: Use image node_id 3 for calling the ATLoss obj's underlying member method code with example usage: obj.single_at_loss(activation) and returns: F