code: def test_checkpoint_remote(self):
      tf.reset_default_graph()
  
      model = SimpleModel()
      sess = tf.Session()
      sess.run(tf.global_variables_initializer())
      saver = tf.train.Saver(tf.global_variables())
      temp = tempfile.mkdtemp()
      save_tf_checkpoint(sess, os.path.join(temp, "simple.ckpt"), saver)
      ckpt = get_checkpoint_state(temp)
      assert ckpt.model_checkpoint_path == os.path.join(
          temp, "simple.ckpt"
      )
      assert ckpt.all_model_checkpoint_paths[0] == os.path.join(
          temp, "simple.ckpt"
      )
      load_tf_checkpoint(sess, os.path.join(temp, "simple.ckpt"), saver)
      shutil.rmtree(temp)
  
imports: import os
  import shutil
  import tempfile
  from unittest import TestCase
  import numpy
  import tensorflow
  from zoo.orca.learn.trigger import SeveralIteration
  from pyspark.sql.context import SQLContext
  import zoo.orca.data.pandas
  from zoo import init_nncontext
  from zoo.orca import OrcaContext
  from zoo.orca.data.tf.data import Dataset
  from zoo.orca.learn.tf.estimator import Estimator
  from zoo.util.tf import save_tf_checkpoint, load_tf_checkpoint, get_checkpoint_state
label_desc: Use image node_id 13 for calling the TestEstimatorForGraph obj's underlying member method code with example usage: obj.test_checkpoint_remote() without return types