code: def normal_likelihood(self, x, mean, logvar, raxis=1):
      return torch.sum(
          -0.5
          * (
              (x - mean) * (1.0 / logvar) * (x - mean)
              + torch.log(logvar)
          ),
          axis=1,
      )
  
imports: import torch
  import torch.utils.data
  from torch import nn
label_desc: Use image node_id 5 for calling the AutoEncoder obj's underlying member method code with example usage: obj.normal_likelihood(x, mean, logvar, raxis) and returns: torch