code: def _profiled_init(self, target="", graph=None, config=None):
      """Overwrites the session.__init__."""
      self._profiler_init_internal(target, graph, config)
  
imports: import contextlib
  import os
  import random
  import sys
  import threading
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.platform import gfile
  from tensorflow.python.profiler import model_analyzer
  from tensorflow.python.util import _pywrap_tfprof
  from tensorflow.python.util import compat
label_desc: Use image node_id 1 for calling a global function with example usage: _profiled_init(target, graph, config) without return types