def testWaitForSessionLocalInit(self):
    server = server_lib.Server.create_local_server()
    with ops.Graph().as_default() as graph:
      v = variables.Variable(1, name="v")
      w = variables.Variable(
          v,
          trainable=False,
          collections=[ops.GraphKeys.LOCAL_VARIABLES],
          name="w")
      sm = session_manager.SessionManager(
          graph=graph,
          ready_op=variables.report_uninitialized_variables(),
          ready_for_local_init_op=variables.report_uninitialized_variables(
              variables.global_variables()),
          local_init_op=w.initializer)

      # Initialize v but not w
      s = session_lib.Session(server.target, graph=graph)
      s.run(v.initializer)

      sess = sm.wait_for_session(server.target, max_wait_secs=3)
      self.assertEqual(
          True,
          variables.is_variable_initialized(
              sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
      self.assertEqual(
          True,
          variables.is_variable_initialized(
              sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
      self.assertEquals(1, sess.run(v))
      self.assertEquals(1, sess.run(w))

  def testPrepareSessionFails(self):
    checkpoint_dir = os.path.join(self.get_temp_dir(), "prepare_session")
    checkpoint_dir2 = os.path.join(self.get_temp_dir(), "prepare_session2")
    try:
      gfile.DeleteRecursively(checkpoint_dir)
      gfile.DeleteRecursively(checkpoint_dir2)
    except errors.OpError:
      pass  # Ignore
    gfile.MakeDirs(checkpoint_dir)

    with ops.Graph().as_default():
      v = variables.Variable([1.0, 2.0, 3.0], name="v")
      sm = session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables())
      saver = saver_lib.Saver({"v": v})
      sess = sm.prepare_session(
          "",
          init_op=variables.global_variables_initializer(),
          saver=saver,
          checkpoint_dir=checkpoint_dir)
      self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))
      checkpoint_filename = os.path.join(checkpoint_dir,
                                         "prepare_session_checkpoint")
      saver.save(sess, checkpoint_filename)
    # Create a new Graph and SessionManager and recover.
    with ops.Graph().as_default():
      # Renames the checkpoint directory.
      os.rename(checkpoint_dir, checkpoint_dir2)
      gfile.MakeDirs(checkpoint_dir)
      v = variables.Variable([6.0, 7.0, 8.0], name="v")
      with self.cached_session():
        self.assertEqual(False, variables.is_variable_initialized(v).eval())
      session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables())
      saver = saver_lib.Saver({"v": v})
      # This should fail as there's no checkpoint within 2 seconds.
      with self.assertRaisesRegexp(
          RuntimeError, "no init_op or init_fn or local_init_op was given"):
        sess = sm.prepare_session(
            "",
            init_op=None,
            saver=saver,
            checkpoint_dir=checkpoint_dir,
            wait_for_checkpoint=True,
            max_wait_secs=2)
      # Rename the checkpoint directory back.
      gfile.DeleteRecursively(checkpoint_dir)
      os.rename(checkpoint_dir2, checkpoint_dir)
      # This should succeed as there's checkpoint.
      sess = sm.prepare_session(
          "",
          init_op=None,
          saver=saver,
          checkpoint_dir=checkpoint_dir,
          wait_for_checkpoint=True,
          max_wait_secs=2)
      self.assertEqual(
          True,
          variables.is_variable_initialized(
              sess.graph.get_tensor_by_name("v:0")).eval(session=sess))

 def testPrepareSessionWithReadyForLocalInitOp(self):
   with ops.Graph().as_default():
     v = variables.Variable(1, name="v")
     w = variables.Variable(
         v,
         trainable=False,
         collections=[ops.GraphKeys.LOCAL_VARIABLES],
         name="w")
     with self.test_session():
       self.assertEqual(False, variables.is_variable_initialized(v).eval())
       self.assertEqual(False, variables.is_variable_initialized(w).eval())
     sm2 = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables(),
         ready_for_local_init_op=variables.report_uninitialized_variables(
             variables.global_variables()),
         local_init_op=w.initializer)
     sess = sm2.prepare_session("", init_op=v.initializer)
     self.assertEqual(
         True,
         variables.is_variable_initialized(
             sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
     self.assertEqual(
         True,
         variables.is_variable_initialized(
             sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
     self.assertEquals(1, sess.run(v))
     self.assertEquals(1, sess.run(w))

  def testRecoverSessionWithReadyForLocalInitOpFailsToReadyLocal(self):
    # We use ready_for_local_init_op=tf.report_uninitialized_variables(),
    # which causes recover_session to not run local_init_op, and to return
    # initialized=False

    # Create a checkpoint.
    checkpoint_dir = os.path.join(
        self.get_temp_dir(),
        "recover_session_ready_for_local_init_fails_to_ready_local")
    try:
      gfile.DeleteRecursively(checkpoint_dir)
    except errors.OpError:
      pass  # Ignore
    gfile.MakeDirs(checkpoint_dir)

    with ops.Graph().as_default():
      v = variables.Variable(1, name="v")
      sm = session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables())
      saver = saver_lib.Saver({"v": v})
      sess, initialized = sm.recover_session(
          "", saver=saver, checkpoint_dir=checkpoint_dir)
      self.assertFalse(initialized)
      sess.run(v.initializer)
      self.assertEquals(1, sess.run(v))
      saver.save(sess,
                 os.path.join(checkpoint_dir, "recover_session_checkpoint"))
    # Create a new Graph and SessionManager and recover.
    with ops.Graph().as_default():
      v = variables.Variable(2, name="v")
      w = variables.Variable(
          v,
          trainable=False,
          collections=[ops.GraphKeys.LOCAL_VARIABLES],
          name="w")
      with self.cached_session():
        self.assertEqual(False, variables.is_variable_initialized(v).eval())
        self.assertEqual(False, variables.is_variable_initialized(w).eval())
      sm2 = session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables(),
          ready_for_local_init_op=variables.report_uninitialized_variables(),
          local_init_op=w.initializer)
      saver = saver_lib.Saver({"v": v})
      sess, initialized = sm2.recover_session(
          "", saver=saver, checkpoint_dir=checkpoint_dir)
      self.assertFalse(initialized)
      self.assertEqual(
          True,
          variables.is_variable_initialized(
              sess.graph.get_tensor_by_name("v:0")).eval(session=sess))
      self.assertEqual(
          False,
          variables.is_variable_initialized(
              sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
      self.assertEquals(1, sess.run(v))

 def testRecoverSessionNoChkptStillRunsLocalInitOp(self):
   # This test checks for backwards compatibility.
   # In particular, we continue to ensure that recover_session will execute
   # local_init_op exactly once, regardless of whether the session was
   # successfully recovered.
   with ops.Graph().as_default():
     w = variables.Variable(
         1,
         trainable=False,
         collections=[ops.GraphKeys.LOCAL_VARIABLES],
         name="w")
     with self.cached_session():
       self.assertEqual(False, variables.is_variable_initialized(w).eval())
     sm2 = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables(),
         ready_for_local_init_op=None,
         local_init_op=w.initializer)
     # Try to recover session from None
     sess, initialized = sm2.recover_session(
         "", saver=None, checkpoint_dir=None)
     # Succeeds because recover_session still run local_init_op
     self.assertFalse(initialized)
     self.assertEqual(
         True,
         variables.is_variable_initialized(
             sess.graph.get_tensor_by_name("w:0")).eval(session=sess))
     self.assertEquals(1, sess.run(w))

  def _init_ready_op(self,
                     ready_op=USE_DEFAULT,
                     ready_for_local_init_op=USE_DEFAULT):
    """Initializes ready_op.

    Args:
      ready_op: `Tensor` to check if the model is initialized.
        If it's set to USE_DEFAULT, creates an op that checks all
        the variables are initialized.
      ready_for_local_init_op: `Tensor` to check if the model is ready to run
        local_init_op.
        If it's set to USE_DEFAULT, creates an op that checks all
        the global variables are initialized.
    """
    if ready_op is Supervisor.USE_DEFAULT:
      ready_op = self._get_first_op_from_collection(ops.GraphKeys.READY_OP)
      if ready_op is None:
        ready_op = variables.report_uninitialized_variables()
        ops.add_to_collection(ops.GraphKeys.READY_OP, ready_op)
    self._ready_op = ready_op

    # ready_for_local_init_op defaults to None for backward compatibility
    if ready_for_local_init_op is Supervisor.USE_DEFAULT:
      ready_for_local_init_op = self._get_first_op_from_collection(
          ops.GraphKeys.READY_FOR_LOCAL_INIT_OP)
    self._ready_for_local_init_op = ready_for_local_init_op

  def testRecoverSession(self):
    # Create a checkpoint.
    checkpoint_dir = os.path.join(self.get_temp_dir(), "recover_session")
    try:
      gfile.DeleteRecursively(checkpoint_dir)
    except errors.OpError:
      pass  # Ignore
    gfile.MakeDirs(checkpoint_dir)

    with ops.Graph().as_default():
      v = variables.Variable(1, name="v")
      sm = session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables())
      saver = saver_lib.Saver({"v": v})
      sess, initialized = sm.recover_session(
          "", saver=saver, checkpoint_dir=checkpoint_dir)
      self.assertFalse(initialized)
      sess.run(v.initializer)
      self.assertEquals(1, sess.run(v))
      saver.save(sess,
                 os.path.join(checkpoint_dir, "recover_session_checkpoint"))
    self._test_recovered_variable(checkpoint_dir=checkpoint_dir)
    self._test_recovered_variable(
        checkpoint_filename_with_path=checkpoint_management.latest_checkpoint(
            checkpoint_dir))
    # Cannot set both checkpoint_dir and checkpoint_filename_with_path.
    with self.assertRaises(ValueError):
      self._test_recovered_variable(
          checkpoint_dir=checkpoint_dir,
          checkpoint_filename_with_path=checkpoint_management.latest_checkpoint(
              checkpoint_dir))

 def testPrepareSessionSucceeds(self):
   with ops.Graph().as_default():
     v = variables.Variable([1.0, 2.0, 3.0], name="v")
     sm = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables())
     sess = sm.prepare_session(
         "", init_op=variables.global_variables_initializer())
     self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))

 def testPrepareSessionSucceedsWithInitFn(self):
   with ops.Graph().as_default():
     v = variables.Variable([125], name="v")
     sm = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables())
     sess = sm.prepare_session(
         "", init_fn=lambda sess: sess.run(v.initializer))
     self.assertAllClose([125], sess.run(v))

  def testWaitForSessionWithReadyForLocalInitOpFailsToReadyLocal(self):
    with ops.Graph().as_default() as graph:
      v = variables.Variable(1, name="v")
      w = variables.Variable(
          v,
          trainable=False,
          collections=[ops.GraphKeys.LOCAL_VARIABLES],
          name="w")
      sm = session_manager.SessionManager(
          graph=graph,
          ready_op=variables.report_uninitialized_variables(),
          ready_for_local_init_op=variables.report_uninitialized_variables(),
          local_init_op=w.initializer)

      with self.assertRaises(errors_impl.DeadlineExceededError):
        # Time-out because w fails to be initialized,
        # because of overly restrictive ready_for_local_init_op
        sm.wait_for_session("", max_wait_secs=3)

 def testAssertVariablesInitialized(self):
   with ops.Graph().as_default(), self.cached_session() as sess:
     v = variables.Variable([1, 2], name="v")
     w = variables.Variable([3, 4], name="w")
     _ = v, w
     uninited = variables.report_uninitialized_variables()
     self.assertAllEqual(np.array([b"v", b"w"]), self.evaluate(uninited))
     self.evaluate(variables.global_variables_initializer())
     self.assertEqual(0, self.evaluate(uninited).size)

  def testWaitForSessionReturnsNoneAfterTimeout(self):
    with ops.Graph().as_default():
      variables.Variable(1, name="v")
      sm = session_manager.SessionManager(
          ready_op=variables.report_uninitialized_variables(),
          recovery_wait_secs=1)

      # Set max_wait_secs to allow us to try a few times.
      with self.assertRaises(errors.DeadlineExceededError):
        sm.wait_for_session(master="", max_wait_secs=3)

 def testVariableList(self):
   with ops.Graph().as_default(), self.cached_session() as sess:
     v = variables.VariableV1([1, 2], name="v")
     w = variables.VariableV1([3, 4], name="w")
     uninited = variables.report_uninitialized_variables()
     self.assertAllEqual(np.array([b"v", b"w"]), self.evaluate(uninited))
     self.evaluate(w.initializer)
     self.assertAllEqual(np.array([b"v"]), self.evaluate(uninited))
     v.initializer.run()
     self.assertEqual(0, self.evaluate(uninited).size)

 def testInitWithNoneLocalInitOpError(self):
   # Creating a SessionManager with a None local_init_op but
   # non-None ready_for_local_init_op raises ValueError
   with self.assertRaisesRegexp(ValueError,
                                "If you pass a ready_for_local_init_op "
                                "you must also pass a local_init_op "):
     session_manager.SessionManager(
         ready_for_local_init_op=variables.report_uninitialized_variables(
             variables.global_variables()),
         local_init_op=None)

 def testPrepareSessionWithReadyNotReadyForLocal(self):
   with ops.Graph().as_default():
     v = variables.Variable(1, name="v")
     w = variables.Variable(
         v,
         trainable=False,
         collections=[ops.GraphKeys.LOCAL_VARIABLES],
         name="w")
     with self.cached_session():
       self.assertEqual(False, variables.is_variable_initialized(v).eval())
       self.assertEqual(False, variables.is_variable_initialized(w).eval())
     sm2 = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables(),
         ready_for_local_init_op=variables.report_uninitialized_variables(
             variables.global_variables()),
         local_init_op=w.initializer)
     with self.assertRaisesRegexp(
         RuntimeError,
         "Init operations did not make model ready for local_init"):
       sm2.prepare_session("", init_op=None)

 def testPrepareSessionSucceedsWithInitFeedDict(self):
   with ops.Graph().as_default():
     p = array_ops.placeholder(dtypes.float32, shape=(3,))
     v = variables.Variable(p, name="v")
     sm = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables())
     sess = sm.prepare_session(
         "",
         init_op=variables.global_variables_initializer(),
         init_feed_dict={p: [1.0, 2.0, 3.0]})
     self.assertAllClose([1.0, 2.0, 3.0], sess.run(v))

  def _init_ready_op(self, ready_op=USE_DEFAULT):
    """Initializes ready_op.

    Args:
      ready_op: `Tensor` to check if the model is initialized.
        If it's set to USE_DEFAULT, creates an op that checks all
        the variables are initialized.
    """
    if ready_op is Supervisor.USE_DEFAULT:
      ready_op = self._get_first_op_from_collection(ops.GraphKeys.READY_OP)
      if ready_op is None:
        ready_op = variables.report_uninitialized_variables()
        ops.add_to_collection(ops.GraphKeys.READY_OP, ready_op)
    self._ready_op = ready_op

 def test_evaluate_ready_for_local_init(self):
   with ops.Graph().as_default() as g, self.test_session(g):
     variables_lib.create_global_step()
     v = variables.Variable(1.0)
     w = variables.Variable(
         v + 1, collections=[ops.GraphKeys.LOCAL_VARIABLES], trainable=False)
     ready_for_local_init_op = variables.report_uninitialized_variables(
         variables.global_variables())
     ops.add_to_collection(ops.GraphKeys.READY_FOR_LOCAL_INIT_OP,
                           ready_for_local_init_op)
     _ = learn.graph_actions.evaluate(
         g,
         output_dir=self._output_dir,
         checkpoint_path=None,
         eval_dict={'a': v},
         max_steps=1)

 def testPrepareSessionDidNotInitLocalVariableList(self):
   with ops.Graph().as_default():
     v = variables.Variable(1, name="v")
     w = variables.Variable(
         v,
         trainable=False,
         collections=[ops.GraphKeys.LOCAL_VARIABLES],
         name="w")
     with self.cached_session():
       self.assertEqual(False, variables.is_variable_initialized(v).eval())
       self.assertEqual(False, variables.is_variable_initialized(w).eval())
     sm2 = session_manager.SessionManager(
         ready_op=variables.report_uninitialized_variables())
     with self.assertRaisesRegexp(RuntimeError,
                                  "Init operations did not make model ready"):
       sm2.prepare_session("", init_op=[v.initializer])

 def testWaitForSessionInsufficientReadyForLocalInitCheck(self):
   with ops.Graph().as_default() as graph:
     v = variables.Variable(1, name="v")
     w = variables.Variable(
         v,
         trainable=False,
         collections=[ops.GraphKeys.LOCAL_VARIABLES],
         name="w")
     sm = session_manager.SessionManager(
         graph=graph,
         ready_op=variables.report_uninitialized_variables(),
         ready_for_local_init_op=None,
         local_init_op=w.initializer)
   with self.assertRaisesRegexp(errors_impl.DeadlineExceededError,
                                "Session was not ready after waiting.*"):
     sm.wait_for_session("", max_wait_secs=3)