code: def benchmark_config():
      """Returns a tf.compat.v1.ConfigProto for disabling the dependency optimizer.
  
      Returns:
        A TensorFlow ConfigProto object.
      """
      config = config_pb2.ConfigProto()
      config.graph_options.rewrite_options.dependency_optimization = (
          rewriter_config_pb2.RewriterConfig.OFF
      )
      return config
  
imports: import math
  import numbers
  import os
  import re
  import sys
  import time
  import types
  from absl import app
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import rewriter_config_pb2
  from tensorflow.core.util import test_log_pb2
  from tensorflow.python.client import timeline
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.util import tf_inspect
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 3 for calling a global function with example usage: benchmark_config() and returns: config