code: def _clean_function_name(name):
      """Vanity function to keep the function names comprehensible."""
      # Note: each time a function is wrapped into `function_lib.ConcreteFunction`
      # its name becomes "__inference_<orig>_xyz".
      match = re.search(_FUNCTION_WRAPPER_NAME_REGEX, name)
      if match:
          return match.group(1)
      else:
          return name
  
imports: import collections
  import pprint
  import re
  from absl import logging
  from tensorflow.core.function import trace_type
  from tensorflow.core.function.polymorphism import function_type
  from tensorflow.core.protobuf import saved_object_graph_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import function
  from tensorflow.python.eager.polymorphic_function import function_type_utils
  from tensorflow.python.framework import func_graph
  from tensorflow.python.framework import function_def_to_graph
  from tensorflow.python.framework import op_def_registry
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import type_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import custom_gradient
  from tensorflow.python.ops import default_gradient
  from tensorflow.python.ops import resource_variable_ops
  from tensorflow.python.saved_model import nested_structure_coder
  from tensorflow.python.util import compat
  from tensorflow.python.util import nest
  from tensorflow.python.util import tf_decorator
  from tensorflow.python.util import tf_inspect
label_desc: Use image node_id 17 for calling a global function with example usage: _clean_function_name(name) and returns: match, name