code: def main(args):
      if len(args) != 3:
          print("Expected: {export_path} {ModuleName}")
          print("Allowed ModuleNames:", MODULE_CTORS.keys())
          return 1
  
      _, export_path, module_name = args
      module_ctor = MODULE_CTORS.get(module_name)
      if not module_ctor:
          print(
              "Expected ModuleName to be one of:", MODULE_CTORS.keys()
          )
          return 2
  
      tf_module = module_ctor()
      ckpt = checkpoint.Checkpoint(tf_module)
      ckpt.write(export_path)
  
file_path: tensorflow/tensorflow/python/checkpoint/testdata/generate_checkpoint.py
imports: from absl import app
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.framework import dtypes
  from tensorflow.python.module import module
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import variables
label_desc: Use image node_id 1 for calling a global function with example usage: main(args) and returns: int, int