code: def _print_args(arguments, argument_type="Argument", indent=0):
      """Formats and prints the argument of the concrete functions defined in the model.
  
      Args:
        arguments: Arguments to format print.
        argument_type: Type of arguments.
        indent: How far (in increments of 2 spaces) to indent each line of
         output.
      """
      indent_str = "  " * indent
  
      def _maybe_add_quotes(value):
          is_quotes = "'" * isinstance(value, str)
          return is_quotes + str(value) + is_quotes
  
      def in_print(s, end="\n"):
          print(indent_str + s, end=end)
  
      for index, element in enumerate(arguments, 1):
          if indent == 4:
              in_print("%s #%d" % (argument_type, index))
          if isinstance(element, str):
              in_print("  %s" % element)
          elif isinstance(element, tensor_spec.TensorSpec):
              print(
                  (indent + 1) * "  "
                  + "%s: %s" % (element.name, repr(element))
              )
          elif isinstance(
              element, collections_abc.Iterable
          ) and not isinstance(element, dict):
              in_print("  DType: %s" % type(element).__name__)
              in_print("  Value: [", end="")
              for value in element:
                  print("%s" % _maybe_add_quotes(value), end=", ")
              print("\b\b]")
          elif isinstance(element, dict):
              in_print("  DType: %s" % type(element).__name__)
              in_print("  Value: {", end="")
              for key, value in element.items():
                  print(
                      "'%s': %s" % (str(key), _maybe_add_quotes(value)),
                      end=", ",
                  )
              print("\b\b}")
          else:
              in_print("  DType: %s" % type(element).__name__)
              in_print("  Value: %s" % str(element))
  
imports: import argparse
  import platform
  import ast
  import os
  import re
  from absl import app
  from absl import flags
  from absl.flags import argparse_flags
  import numpy
  from tensorflow.core.example import example_pb2
  from tensorflow.core.framework import types_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.debug.wrappers import local_cli_wrapper
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.framework import meta_graph
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.lib.io import file_io
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.saved_model import load
  from tensorflow.python.saved_model import loader
  from tensorflow.python.saved_model import save
  from tensorflow.python.saved_model import signature_constants
  from tensorflow.python.tools import saved_model_aot_compile
  from tensorflow.python.tools import saved_model_utils
  from tensorflow.python.tpu import tpu
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 11 for calling a global function with example usage: _print_args(arguments, argument_type, indent) and returns: unknown