code: def test(
      self,
      dataset_dict,
      epoch,
      trunk_model,
      embedder_model=None,
      splits_to_eval=None,
      collate_fn=None,
  ):
      c_f.LOGGER.info("Evaluating epoch {}".format(epoch))
      if embedder_model is None:
          embedder_model = torch.nn.Identity()
      trunk_model.eval()
      embedder_model.eval()
      (
          splits_to_eval,
          splits_to_compute_embeddings,
      ) = self.get_splits_to_compute_embeddings(
          dataset_dict, splits_to_eval
      )
      self.embeddings_and_labels = (
          self.get_all_embeddings_for_all_splits(
              dataset_dict,
              trunk_model,
              embedder_model,
              splits_to_compute_embeddings,
              collate_fn,
          )
      )
      self.maybe_visualize(self.embeddings_and_labels, epoch)
      self.all_accuracies = defaultdict(dict)
      for query_split_name, reference_split_names in splits_to_eval:
          c_f.LOGGER.info(
              f"Computing accuracy for the {query_split_name} split w.r.t {reference_split_names}"
          )
          self.all_accuracies[query_split_name]["epoch"] = epoch
          self.reference_split_names[
              query_split_name
          ] = reference_split_names
          self.do_knn_and_accuracies(
              self.all_accuracies[query_split_name],
              self.embeddings_and_labels,
              query_split_name,
              reference_split_names,
          )
      self.end_of_testing_hook(
          self
      ) if self.end_of_testing_hook else c_f.LOGGER.info(
          self.all_accuracies
      )
      del self.embeddings_and_labels
      return self.all_accuracies
  
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 21 for calling the BaseTester obj's underlying member method code with example usage: obj.test(dataset_dict, epoch, trunk_model, embedder_model, splits_to_eval, collate_fn) and returns: self