class_docstr: A session manager with a shorter recovery time.
class_docstr_tok: ["A","session","manager","with","a","shorter","recovery","time","."]
code: def __init__(self, *args, **kwargs):
      # Reduced wait time.
      kwargs["recovery_wait_secs"] = 0.5
      super(SessionManager, self).__init__(*args, **kwargs)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import contextlib
  import json
  import os
  import sys
  from absl import app
  from absl import flags
  from absl import logging
  from adanet import tf_compat
  from adanet.autoensemble.estimator import AutoEnsembleEstimator
  from adanet.core.estimator import Estimator
  from adanet.core.evaluator import Evaluator
  from adanet.distributed.placement import RoundRobinStrategy
  from adanet.subnetwork import Builder
  from adanet.subnetwork import SimpleGenerator
  from adanet.subnetwork import Subnetwork
  import tensorflow.compat.v1
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.training import session_manager
  from tensorflow_estimator.python.estimator import training
  from tensorflow_estimator.python.estimator.canned import head
label_desc: Use image node_id 1 to create a new SessionManager object from inherited base classes: session_manager_lib with example: obj = SessionManager()