code: def uniformity(x):
      x = F.normalize(x, dim=-1)
      x = abs(x)
      return torch.pdist(x, p=2).pow(2).mul(-2).exp().mean().log()
  
imports: import random
  import numpy
  import torch
  from torch import nn
  import torch.nn.functional
  import math
  import torch.nn.functional
  from recbole.model.abstract_recommender import SequentialRecommender
  from recbole.model.loss import BPRLoss
  from recbole.data.interaction import Interaction
label_desc: Use image node_id 9 for calling the FEARec obj's underlying member method code with example usage: obj.uniformity(x) and returns: torch