code: def main():
      import sys
  
      try:
          from .convert_tf_checkpoint_to_pytorch import (
              convert_tf_checkpoint_to_pytorch,
          )
      except ModuleNotFoundError:
          print(
              "pytorch_pretrained_bert can only be used from the commandline to convert TensorFlow models in PyTorch, "
              "In that case, it requires TensorFlow to be installed. Please see "
              "https://www.tensorflow.org/install/ for installation instructions."
          )
          raise
  
      if len(sys.argv) != 5:
          # pylint: disable=line-too-long
          print(
              "Should be used as `pytorch_pretrained_bert convert_tf_checkpoint_to_pytorch TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT`"
          )
      else:
          PYTORCH_DUMP_OUTPUT = sys.argv.pop()
          TF_CONFIG = sys.argv.pop()
          TF_CHECKPOINT = sys.argv.pop()
          convert_tf_checkpoint_to_pytorch(
              TF_CHECKPOINT, TF_CONFIG, PYTORCH_DUMP_OUTPUT
          )
  
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types