code: def get_compute_backend(self):
      if self.BACKEND == "numpy":
          return np
  
      else:
          return torch
  
file_path: pgmpy/pgmpy/global_vars.py
imports: import logging
  import numpy
  import torch
label_desc: Use image node_id 10 for calling the Config obj's underlying member method code with example usage: obj.get_compute_backend() and returns: np, torch