code: def get_unique_labels(labels):
      return torch.unique(labels, dim=0)
  
imports: import torch
  from sklearn.metrics import adjusted_mutual_info_score, normalized_mutual_info_score
  from .None import common_functions
  from .inference import FaissKMeans, FaissKNN
label_desc: Use image node_id 1 for calling a global function with example usage: get_unique_labels(labels) and returns: torch