code: def _print_tensor_info(tensor_info, indent=0):
      """Prints details of the given tensor_info.
  
      Args:
        tensor_info: TensorInfo object to be printed.
        indent: How far (in increments of 2 spaces) to indent each line output
      """
      indent_str = "  " * indent
  
      def in_print(s):
          print(indent_str + s)
  
      in_print(
          "    dtype: "
          + {value: key for (key, value) in types_pb2.DataType.items()}[
              tensor_info.dtype
          ]
      )
      # Display shape as tuple.
      if tensor_info.tensor_shape.unknown_rank:
          shape = "unknown_rank"
      else:
          dims = [str(dim.size) for dim in tensor_info.tensor_shape.dim]
          shape = ", ".join(dims)
          shape = "(" + shape + ")"
      in_print("    shape: " + shape)
      in_print("    name: " + tensor_info.name)
  
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 load_options
  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 12 for calling a global function with example usage: _print_tensor_info(tensor_info, indent) without return types