code: def freeze(input_module: M) -> M:
      """
      Returns a deepcopy of the input tf.Module with constants instead of variables and parameters.
  
      :param input_module: tf.Module or gpflow.Module.
      :return: Returns a frozen deepcopy of an input object.
      """
      objects_to_freeze = _get_leaf_components(input_module)
      memo_tensors = {
          id(v): tf.convert_to_tensor(v)
          for v in objects_to_freeze.values()
      }
      module_copy = deepcopy(input_module, memo_tensors)
      return module_copy
  
imports: import copy
  import re
  from functools import lru_cache
  from typing import Any, Callable, Dict, Mapping, Optional, Pattern, Tuple, Type, TypeVar, Union
  import numpy
  import tensorflow
  import tensorflow_probability
  from packaging.version import Version
  from tabulate import tabulate
  from tensorflow.python.util.object_identity import Reference
  from ..base import AnyNDArray, Parameter
  from ..config import default_summary_fmt
label_desc: Use image node_id 11 for calling a global function with example usage: freeze(input_module) and returns: module_copy