code: def get_compute_backend():
      from pgmpy import config
  
      if config.BACKEND == "numpy":
          return np
      else:
          return torch
  
file_path: pgmpy/pgmpy/utils/compat_fns.py
imports: from copy import deepcopy
  import numpy
  import torch
label_desc: Use image node_id 11 for calling a global function with example usage: get_compute_backend() and returns: np, torch