def testLoop_2(self):
    with self.test_session():
      zero = tf.constant(0)
      one = tf.constant(1)
      n = tf.constant(10)

      enter_i = control_flow_ops.enter(zero, "foo", False)
      enter_one = control_flow_ops.enter(one, "foo", True)
      enter_n = control_flow_ops.enter(n, "foo", True)

      merge_i = control_flow_ops.merge([enter_i, enter_i])[0]

      less_op = tf.less(merge_i, enter_n)
      cond_op = control_flow_ops.loop_cond(less_op)
      switch_i = control_flow_ops.switch(merge_i, cond_op)

      add_i = tf.add(switch_i[1], enter_one)

      with tf.device("/gpu:0"):
        next_i = control_flow_ops.next_iteration(add_i)
      merge_i.op._update_input(1, next_i)

      exit_i = control_flow_ops.exit(switch_i[0])
      result = exit_i.eval()
    self.assertAllEqual(10, result)

    def testLoop_1(self):
        with self.test_session():
            zero = tf.convert_to_tensor(0)
            one = tf.convert_to_tensor(1)
            n = tf.constant(10)

            enter_zero = control_flow_ops.enter(zero, "foo_1", False)
            enter_one = control_flow_ops.enter(one, "foo_1", False)
            enter_n = control_flow_ops.enter(n, "foo_1", False)
            merge_zero = control_flow_ops.merge([enter_zero, enter_zero], name="merge_zero")[0]
            merge_one = control_flow_ops.merge([enter_one, enter_one], name="merge_one")[0]
            merge_n = control_flow_ops.merge([enter_n, enter_n], name="merge_n")[0]
            less_op = tf.less(merge_n, merge_n)
            cond_op = control_flow_ops.loop_cond(less_op)
            switch_zero = control_flow_ops.switch(merge_zero, cond_op)
            switch_one = control_flow_ops.switch(merge_one, cond_op)
            switch_n = control_flow_ops.switch(merge_n, cond_op)
            next_zero = control_flow_ops.next_iteration(switch_zero[1])
            next_one = control_flow_ops.next_iteration(switch_one[1])
            next_n = control_flow_ops.next_iteration(switch_n[1])
            merge_zero.op._update_input(1, next_zero)
            merge_one.op._update_input(1, next_one)
            merge_n.op._update_input(1, next_n)
            exit_n = control_flow_ops.exit(switch_n[0])

            result = exit_n.eval()
        self.assertAllEqual(10, result)

  def testEnterMulExit_1(self):
    with self.test_session():
      data = tf.constant([1, 2, 3, 4, 5, 6], name="data")
      enter_data = control_flow_ops.enter(data, "foo_1", False)
      five = tf.constant(5)
      enter_five = control_flow_ops.enter(five, "foo_1", False)
      mul_op = tf.mul(enter_data, enter_five)
      exit_op = control_flow_ops.exit(mul_op)

      result = exit_op.eval()
    self.assertAllEqual(np.array([x * 5 for x in [1, 2, 3, 4, 5, 6]]), result)

    def testLoop_false(self):
        with self.test_session():
            false = tf.convert_to_tensor(False)
            n = tf.constant(10)

            enter_false = control_flow_ops.enter(false, "foo_1", False)
            enter_n = control_flow_ops.enter(n, "foo_1", False)

            merge_n = control_flow_ops.merge([enter_n], name="merge_n")[0]
            switch_n = control_flow_ops.switch(merge_n, enter_false)
            exit_n = control_flow_ops.exit(switch_n[0])

            result = exit_n.eval()
        self.assertAllEqual(10, result)

  def testEnterExit_1(self):
    with self.test_session():
      data = tf.constant([1, 2, 3, 4, 5, 6], name="data")
      enter_op = control_flow_ops.enter(data, "foo_1", False)
      exit_op = control_flow_ops.exit(enter_op)

      result = exit_op.eval()
    self.assertAllEqual(np.array([1, 2, 3, 4, 5, 6]), result)

  def testRefEnter(self):
    with self.test_session():
      v = tf.Variable(7)

      enter_v = control_flow_ops._Enter(v, "foo_1", is_constant=True)
      nine = tf.constant(9)
      enter_nine = control_flow_ops.enter(nine, "foo_1")
      op = tf.assign(enter_v, enter_nine)
      v2 = control_flow_ops.with_dependencies([op], enter_v)
      v3 = control_flow_ops.exit(v2)
      tf.initialize_all_variables().run()
      self.assertEqual(9, v3.eval())