code: def compute_loss(recon_x, x):
      return -torch.mean(torch.sum(F.log_softmax(recon_x, 1) * x, -1))
  
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 1 for calling a global function with example usage: compute_loss(recon_x, x) and returns: unknown