code: def maybe_get_logits(self, embeddings, curr_classifier_name):
      if self.models.get(curr_classifier_name, None):
          return self.models[curr_classifier_name](embeddings)
      return None
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/trainers/cascaded_embeddings.py
imports: from ..None import miners
  from ..utils import common_functions
  from .base_trainer import BaseTrainer
label_desc: Use image node_id 5 for calling the CascadedEmbeddings obj's underlying member method code with example usage: obj.maybe_get_logits(embeddings, curr_classifier_name) and returns: None, self