original_docstring: 
      add metric scalar tensor into model, which could be tracked in training
      log and tensorboard callback
      
docstring: add metric scalar tensor into model, which could be tracked in training
  log and tensorboard callback
docstring_tokens: add metric scalar tensor into model which could be tracked in training log and tensorboard callback
code: def add_metrics(model, metric_dict):
      '''
      add metric scalar tensor into model, which could be tracked in training
      log and tensorboard callback
      '''
      for (name, metric) in metric_dict.items():
          model.add_metric(metric, name=name, aggregation='mean')
code_tokens: def add_metrics ( model , metric_dict ) : for ( name , metric ) in metric_dict . items ( ) : model . add_metric ( metric , name = name , aggregation = 'mean' )
short_docstring: add metric scalar tensor into model, which could be tracked in training
  log and tensorboard callback
short_docstring_tokens: add metric scalar tensor into model which could be tracked in training log and tensorboard callback
comment: '''
      add metric scalar tensor into model, which could be tracked in training
      log and tensorboard callback
      '''