code: def _convert_bn(k):
      aux = False
      if k == "bias":
          add = "beta"
      elif k == "weight":
          add = "gamma"
      elif k == "running_mean":
          aux = True
          add = "moving_mean"
      elif k == "running_var":
          aux = True
          add = "moving_var"
      else:
          if not False:
              raise AssertionError("Unknown key: %s" % k)
      return aux, add
  
imports: import os
  import argparse
  import torch
  from .model_factory import create_model
label_desc: Use image node_id 1 for calling a global function with example usage: _convert_bn(k) and returns: aux,  add