code: def metrics(self):
      # We list our `Metric` objects here so that `reset_states()` can be
      # called automatically at the start of each epoch
      # or at the start of `evaluate()`.
      return [self.loss_tracker, self.mae_metric]
  
imports: import os
  import torch
  import keras
  from keras import layers
  import numpy
label_desc: Use image node_id 3 for calling the CustomModel obj's underlying member method code with example usage: obj.metrics() and returns: list