Python nameserver.NameServer方法代碼示例

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def get_nameserver(self, run_id, task_id, ns_credentials_dir, network_interface_name):
        """Get the namesever object
        
        Arguments:
            run_id {str} -- The id of the run
            task_id {int} -- An id for the worker
            ns_credentials_dir {str} -- Path to ns credentials
            network_interface_name {str} -- The network interface name
        
        Returns:
            NameServer -- The NameServer object
        """
        if not os.path.isdir(ns_credentials_dir):
            try:
                os.mkdir(ns_credentials_dir)
            except:
                pass
        return NameServer(run_id=run_id, nic_name=network_interface_name, working_directory=ns_credentials_dir) 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def test_Timeout(self):
        class dummy_callback(object):
            def register_result(self, *args, **kwargs):
                pass

        host = hpn.nic_name_to_host('lo')

        w = TestWorker(run_id=self.run_id, sleep_duration=0, timeout=1, host=host)

        dc = dummy_callback()

        with tempfile.TemporaryDirectory() as working_directory:
            # start up nameserver
            ns = hpn.NameServer(self.run_id, working_directory=working_directory, host=host)
            ns_host, ns_port = ns.start()

            # connect worker to it
            w.load_nameserver_credentials(working_directory)
            w.run(background=True)

            # start a computation with a dummy callback and dummy id
            w.start_computation(dc, '0')

            # at this point the worker must still be alive
            self.assertTrue(w.thread.is_alive())

            # as the timeout is only 1, after 2 seconds, the worker thread should be dead
            time.sleep(2)
            self.assertFalse(w.thread.is_alive())

            # shutdown the nameserver before the temporary directory is gone
            ns.shutdown() 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def test_optimizers(self):
        optimizers = [BOHB, H2BO, RandomSearch]

        for optimizer in optimizers:
            host = hpn.nic_name_to_host('lo')

            with tempfile.TemporaryDirectory() as working_directory:
                # start up nameserver
                ns = hpn.NameServer(self.run_id, working_directory=working_directory, host=host)
                ns_host, ns_port = ns.start()

                # create workers and connect them to the nameserver
                w = TestWorker(run_id=self.run_id, sleep_duration=2, timeout=1, host=host, id=1)
                w.load_nameserver_credentials(working_directory)
                w.run(background=True)

                opt = optimizer(run_id=self.run_id,
                                configspace=self.configspace,
                                nameserver=ns_host,
                                nameserver_port=ns_port,
                                min_budget=1, max_budget=3, eta=3, ping_interval=1)
                opt.run(1, min_n_workers=1)

                opt.shutdown()
                time.sleep(2)

                # shutdown the nameserver before the temporary directory is gone
                ns.shutdown() 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def test_local_nameserver_1(self):
        host, port = utils.start_local_nameserver(host=None, nic_name=None)
        self.assertEqual(host, 'localhost')

        ns = hpn.NameServer('0', host=host)
        ns_host, ns_port = ns.start()
        self.assertEqual(ns.host, 'localhost')
        ns.shutdown() 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def test_local_nameserver_2(self):
        host, port = utils.start_local_nameserver(host=None, nic_name='lo')
        self.assertEqual(host, '127.0.0.1')

        ns = hpn.NameServer('0', host=host)
        ns_host, ns_port = ns.start()
        self.assertEqual(ns.host, '127.0.0.1')
        ns.shutdown() 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def generate_bohb_data():
    import warnings
    import hpbandster.core.nameserver as hpns
    import hpbandster.core.result as hpres
    from hpbandster.optimizers import BOHB as BOHB

    run_id = '0'  # Every run has to have a unique (at runtime) id.
    NS = hpns.NameServer(run_id=run_id, host='localhost', port=0)
    ns_host, ns_port = NS.start()

    from neural_opt import MyWorker, get_configspace

    w = MyWorker(nameserver=ns_host,
             nameserver_port=ns_port,
             run_id=run_id,  # same as nameserver's
            )
    w.run(background=True)

    # Log the optimization results for later analysis
    result_logger = hpres.json_result_logger(directory='test/general_example/results/bohb_full_configspace',
                                             overwrite=True)

    bohb = BOHB(configspace=get_configspace(),
                run_id=run_id,  # same as nameserver's
                eta=2, min_budget=5, max_budget=100,  # Hyperband parameters
                nameserver=ns_host, nameserver_port=ns_port,
                result_logger=result_logger,
                )

    # Then start the optimizer. The n_iterations parameter specifies
    # the number of iterations to be performed in this run
    with warnings.catch_warnings():
        warnings.simplefilter("ignore")
        res = bohb.run(n_iterations=2)

    # After the run is finished, the services started above need to be shutdown.
    # This ensures that the worker, the nameserver and the master all properly exit
    # and no (daemon) threads keep running afterwards.
    # In particular we shutdown the optimizer (which shuts down all workers) and the nameserver.
    bohb.shutdown(shutdown_workers=True)
    NS.shutdown() 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def get_nameserver(self, run_id, task_id, ns_credentials_dir, network_interface_name):
        if not os.path.isdir(ns_credentials_dir):
            try:
                os.mkdir(ns_credentials_dir)
            except:
                pass
        return NameServer(run_id=run_id, nic_name=network_interface_name, working_directory=ns_credentials_dir) 

# 需要導入模塊: from hpbandster.core import nameserver [as 別名]
# 或者: from hpbandster.core.nameserver import NameServer [as 別名]
def start(self):
        # type: () -> ()
        """
        Start the Optimizer controller function loop()
        If the calling process is stopped, the controller will stop as well.

        .. important::
            This function returns only after optimization is completed or :meth:`stop` was called.

        """
        # Step 1: Start a NameServer
        fake_run_id = 'OptimizerBOHB_{}'.format(time())
        # default port is 9090, we must have one, this is how BOHB workers communicate (even locally)
        self._namespace = hpns.NameServer(run_id=fake_run_id, host='127.0.0.1', port=self._nameserver_port)
        self._namespace.start()

        # we have to scale the budget to the iterations per job, otherwise numbers might be too high
        budget_iteration_scale = self._max_iteration_per_job

        # Step 2: Start the workers
        workers = []
        for i in range(self._num_concurrent_workers):
            w = _TrainsBandsterWorker(
                optimizer=self,
                sleep_interval=int(self.pool_period_minutes * 60),
                budget_iteration_scale=budget_iteration_scale,
                base_task_id=self._base_task_id,
                objective=self._objective_metric,
                queue_name=self._execution_queue,
                nameserver='127.0.0.1', nameserver_port=self._nameserver_port, run_id=fake_run_id, id=i)
            w.run(background=True)
            workers.append(w)

        # Step 3: Run an optimizer
        self._bohb = BOHB(configspace=self._convert_hyper_parameters_to_cs(),
                          run_id=fake_run_id,
                          # num_samples=self.total_max_jobs, # will be set by self._bohb_kwargs
                          min_budget=float(self._min_iteration_per_job) / float(self._max_iteration_per_job),
                          **self._bohb_kwargs)
        # scale the budget according to the successive halving iterations
        if self.budget.jobs.limit:
            self.budget.jobs.limit *= len(self._bohb.budgets)
        if self.budget.iterations.limit:
            self.budget.iterations.limit *= len(self._bohb.budgets)
        # start optimization
        self._res = self._bohb.run(n_iterations=self.total_max_jobs, min_n_workers=self._num_concurrent_workers)

        # Step 4: if we get here, Shutdown
        self.stop()