code: def _get_input_tensor_and_op(graph_input):
      input_op_names = []
      input_tensor_names = []
  
      for input_item in graph_input.items():
          input_op_name, input_tensor_name = _get_dense_tensor_and_op(
              input_item
          )
  
          input_op_names.append(input_op_name)
          input_tensor_names.append(input_tensor_name)
  
      return input_op_names, input_tensor_names
  
imports: import os
  import atexit
  from multiprocessing import Process
  import numpy
  import shutil
  import tensorflow
  from tensorflow.compat.v1 import saved_model
  from tensorflow.python.framework import ops
  from autodist import AutoDist
  from autodist.strategy.all_reduce_strategy import AllReduce
  from autodist.checkpoint.saver import Saver
  from autodist.checkpoint.saved_model_builder import SavedModelBuilder
label_desc: Use image node_id 2 for calling a global function with example usage: _get_input_tensor_and_op(graph_input) and returns: input_op_names,  input_tensor_names