code: def rmse(pred, gt):
      """
      Desc:
          Root Mean Square Error
      Args:
          pred:
          gt: ground truth vector
      Returns:
          RMSE value
      """
      return np.sqrt(mse(pred, gt))
  
file_path: PGL/examples/kddcup2022/wpf_baseline/metrics.py
imports: import pandas
  import time
  import numpy
label_desc: Use image node_id 6 for calling a global function with example usage: rmse(pred, gt) and returns: np