code: def alignment(x, y):
      x, y = F.normalize(x, dim=-1), F.normalize(y, dim=-1)
      return (x - y).norm(p=2, dim=1).pow(2).mean()
  
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 8 for calling the FEARec obj's underlying member method code with example usage: obj.alignment(x, y) and returns: unknown