code: def maybe_combine_splits(self, embeddings_and_labels, splits):
      to_combine = {
          split: embeddings_and_labels[split] for split in splits
      }
      eee, lll = list(zip(*list(to_combine.values())))
      curr_embeddings = torch.cat(eee, dim=0)
      curr_labels = torch.cat(lll, dim=0)
      return curr_embeddings, curr_labels
  
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 13 for calling the BaseTester obj's underlying member method code with example usage: obj.maybe_combine_splits(embeddings_and_labels, splits) and returns: curr_embeddings,  curr_labels