code: def maybe_visualize(self, embeddings_and_labels, epoch):
      if self.visualizer:
          visualizer_name = self.visualizer.__class__.__name__
          for split_name, (
              embeddings,
              labels,
          ) in embeddings_and_labels.items():
              c_f.LOGGER.info(
                  "Running {} on the {} set".format(
                      visualizer_name, split_name
                  )
              )
              dim_reduced = self.visualizer.fit_transform(
                  embeddings.cpu().numpy()
              )
              c_f.LOGGER.info("Finished {}".format(visualizer_name))
              for L in self.label_levels_to_evaluate(labels):
                  label_scheme = labels[:, L].cpu().numpy()
                  keyname = self.accuracies_keyname(
                      visualizer_name, label_hierarchy_level=L
                  )
                  self.visualizer_hook(
                      self.visualizer,
                      dim_reduced,
                      label_scheme,
                      split_name,
                      keyname,
                      epoch,
                  )
  
imports: from collections import defaultdict
  import torch
  import tqdm
  from ..utils import common_functions
  from ..utils import inference
  from ..utils.accuracy_calculator import AccuracyCalculator
label_desc: Use image node_id 9 for calling the BaseTester obj's underlying member method code with example usage: obj.maybe_visualize(embeddings_and_labels, epoch) without return types