code: def maybe_get_logits(self, embeddings):
      if (
          self.models.get("classifier", None)
          and self.loss_weights.get("classifier_loss", 0) > 0
      ):
          return self.models["classifier"](embeddings)
      return None
  
imports: from ..utils import common_functions
  from .metric_loss_only import MetricLossOnly
label_desc: Use image node_id 3 for calling the TrainWithClassifier obj's underlying member method code with example usage: obj.maybe_get_logits(embeddings) and returns: None, self