code: def convert_debug_info_func(saved_debug_info):
      """Returns a method to retrieve the `GraphDebugInfo` from the original graph.
  
      Args:
        saved_debug_info: The `GraphDebugInfo` containing all the debug info.
  
      Returns:
        A function which retrieves the stack traces from the original graph and
        converts them to a `GraphDebugInfo` for a given set of nodes.
      """
  
      def f(original_nodes):
          """Function to create `GraphDebugInfo` for the given `original_nodes`."""
          del original_nodes
          return saved_debug_info
  
      return f
  
imports: import copy
  import datetime
  import sys
  from absl import logging
  import flatbuffers
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.lite.python import conversion_metadata_schema_py_generated
  from tensorflow.lite.python import schema_py_generated
  from tensorflow.lite.python import schema_util
  from tensorflow.lite.python import tflite_keras_util
  from tensorflow.lite.python.op_hint import convert_op_hints_to_stubs
  from tensorflow.lite.python.op_hint import find_all_hinted_output_nodes
  from tensorflow.lite.tools import flatbuffer_utils
  from tensorflow.python.eager import function
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import error_interpolation
  from tensorflow.python.grappler import tf_optimizer
  from tensorflow.python.training.saver import export_meta_graph
label_desc: Use image node_id 12 for calling a global function with example usage: convert_debug_info_func(saved_debug_info) and returns: f, saved_debug_info