class_docstr: Implementation for working with TF1.x Graph Mode.
docstr: Create a Session object to execute the default graph in a distributed manner.
  
  Returns:
      WrappedSession: A wrapped TensorFlow Session object.
docstr_tok: ["Create","a","Session","object","to","execute","the","default","graph","in","a","distributed","manner",".","Returns",":","WrappedSession",":","A","wrapped","TensorFlow","Session","object","."]
code: def create_distributed_session(self):
      """
      Create a Session object to execute the default graph in a distributed manner.
  
      Returns:
          WrappedSession: A wrapped TensorFlow Session object.
      """
      return self._create_distributed_session()
  
imports: import atexit
  import os
  from collections import namedtuple
  import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.util import tf_contextlib
  from autodist.cluster import Cluster, SSHCluster
  from autodist.const import ENV
  from autodist.coordinator import Coordinator
  from autodist.graph_item import GraphItem
  from autodist.kernel.device.resolver import DeviceResolver
  from autodist.kernel.graph_transformer import GraphTransformer
  from autodist.patch import PatchTensorFlow
  from autodist.remapper import Remapper
  from autodist.resource_spec import ResourceSpec
  from autodist.runner import WrappedSession
  from autodist.strategy import base
  from autodist.strategy.ps_lb_strategy import PSLoadBalancing
  from autodist.utils import logging
label_desc: Use image node_id 1 for calling the _V1Graph obj's underlying member method code with example usage: obj.create_distributed_session() and returns: self