code: def freeze_model():
      """Function triggered by freeze_model command."""
      checkpoint_path = _SMCLI_CHECKPOINT_PATH.value or os.path.join(
          _SMCLI_DIR.value, "variables/variables"
      )
      if not _SMCLI_VARIABLES_TO_FEED.value:
          variables_to_feed = []
      elif _SMCLI_VARIABLES_TO_FEED.value.lower() == "all":
          variables_to_feed = None  # We will identify them after.
      else:
          variables_to_feed = _SMCLI_VARIABLES_TO_FEED.value.split(",")
  
      saved_model_aot_compile.freeze_model(
          checkpoint_path=checkpoint_path,
          meta_graph_def=saved_model_utils.get_meta_graph_def(
              _SMCLI_DIR.value, _SMCLI_TAG_SET.value
          ),
          signature_def_key=_SMCLI_SIGNATURE_DEF_KEY.value,
          variables_to_feed=variables_to_feed,
          output_prefix=_SMCLI_OUTPUT_PREFIX.value,
      )
  
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 28 for calling a global function with example usage: freeze_model() without return types