code: def get_curr_metrics(self):
      return [k for k in self.curr_function_dict.keys()]
  
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 3 for calling the AccuracyCalculator obj's underlying member method code with example usage: obj.get_curr_metrics() and returns: unknown