code: def maybe_normalize(self, embeddings):
      if self.pca:
          for_pca = c_f.torch_standard_scaler(embeddings)
          embeddings = inference.run_pca(for_pca, self.pca)
      if self.normalize_embeddings:
          embeddings = torch.nn.functional.normalize(embeddings)
      return embeddings
  
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 5 for calling the BaseTester obj's underlying member method code with example usage: obj.maybe_normalize(embeddings) and returns: embeddings