class_docstr: Generic AutoDist Interface.
  
  Ancestor of _V1Graph, _V2Graph, and _V2Eager -- the different ways to run TF code.
code: def _build_or_load_strategy(self):
      self._original_graph_item.prepare()
      if IS_AUTODIST_CHIEF:
          s = self.build_strategy()
          s.serialize()
      else:
          strategy_id = ENV.AUTODIST_STRATEGY_ID.val
          assert strategy_id
          s = base.Strategy.deserialize(strategy_id)
      return s
  
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 4 for calling the _AutoDistInterface obj's underlying member method code with example usage: obj._build_or_load_strategy() and returns: s