code: def maybe_get_classifier_loss(self, logits, labels):
      if logits is not None:
          return self.loss_funcs["classifier_loss"](
              logits, c_f.to_device(labels, logits)
          )
      return 0
  
imports: from ..utils import common_functions
  from .metric_loss_only import MetricLossOnly
label_desc: Use image node_id 2 for calling the TrainWithClassifier obj's underlying member method code with example usage: obj.maybe_get_classifier_loss(logits, labels) and returns: int, self