code: def loss(out, target):
      criterion = nn.L1Loss()
      return criterion(out, target) / torch.abs(target.data).mean()
  
imports: import pickle
  import numpy
  import torch
  import torch.nn
  import torch.optim
  from torch.autograd import Variable
  from torch.nn.utils import weight_norm
  from zoo.chronos.model.tcmf.data_loader import TCMFDataLoader
  from zoo.chronos.model.tcmf.time import TimeCovariates
  import logging
label_desc: Use image node_id 3 for calling the LocalModel obj's underlying member method code with example usage: obj.loss(out, target) and returns: unknown