class_docstr: The worker context class.
  
  This context object provides configuration information for each task. One
  context manager with a worker context object will be created per
  invocation to the `worker_fn` where `get_current_worker_context` can be called
  to access the worker context object.
class_docstr_tok: ["The","worker","context","class",".","This","context","object","provides","configuration","information","for","each","task",".","One","context","manager","with","a","worker","context","object","will","be","created","per","invocation","to","the","`","worker_fn","`","where","`","get_current_worker_context","`","can","be","called","to","access","the","worker","context","object","."]
code: def session_config(self):
      return copy.deepcopy(self._session_config)
  
imports: import copy
  import json
  import os
  import threading
  import time
  from tensorflow.core.protobuf import cluster_pb2
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.client import session
  from tensorflow.python.platform import tf_logging
  from tensorflow.python.training import monitored_session
  from tensorflow.python.training import server_lib
label_desc: Use image node_id 9 for calling the _WorkerContext obj's underlying member method code with example usage: obj.session_config() and returns: copy