class_docstr: Guassian Diffusion for large-scale recommendation.
class_docstr_tok: ["Guassian","Diffusion","for","large-scale","recommendation","."]
code: def reparamterization(self, mu, logvar):
      std = torch.exp(0.5 * logvar)
      eps = torch.randn_like(std)
      return eps.mul(std).add_(mu)
  
imports: import os
  import numpy
  import torch
  import torch.nn.functional
  import torch.nn
  from recbole.model.init import xavier_normal_initialization
  from recbole.model.layers import MLPLayers
  from recbole.model.general_recommender.diffrec import DiffRec, DNN, ModelMeanType, mean_flat
label_desc: Use image node_id 3 for calling the AutoEncoder obj's underlying member method code with example usage: obj.reparamterization(mu, logvar) and returns: eps