Python multiprocessing.set_start_method方法代碼示例

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def init_processes(addr, port, gpu_num, backend):
    from mpi4py import MPI
    comm = MPI.COMM_WORLD
    size = comm.Get_size()
    rank = comm.Get_rank()
    print(rank, size)
    if mp.get_start_method(allow_none=True) != 'spawn':
        mp.set_start_method('spawn')
    torch.cuda.set_device(rank % gpu_num)
    os.environ['MASTER_ADDR'] = addr
    os.environ['MASTER_PORT'] = port
    os.environ['WORLD_SIZE'] = str(size)
    os.environ['RANK'] = str(rank)
    dist.init_process_group(backend)
    print('initialize {} successfully (rank {})'.format(backend, rank))
    return rank, size 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def main(args):
    with open(args.config) as f:
        if version.parse(yaml.version >= "5.1"):
            config = yaml.load(f, Loader=yaml.FullLoader)
        else:
            config = yaml.load(f)

    for k, v in config.items():
        setattr(args, k, v)

    # exp path
    if not hasattr(args, 'exp_path'):
        args.exp_path = os.path.dirname(args.config)

    # dist init
    if mp.get_start_method(allow_none=True) != 'spawn':
        mp.set_start_method('spawn', force=True)
    dist_init(args.launcher, backend='nccl')

    # train
    trainer = Trainer(args)
    trainer.run() 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def test_set_get(self):
        multiprocessing.set_forkserver_preload(PRELOAD)
        count = 0
        old_method = multiprocessing.get_start_method()
        try:
            for method in ('fork', 'spawn', 'forkserver'):
                try:
                    multiprocessing.set_start_method(method, force=True)
                except ValueError:
                    continue
                self.assertEqual(multiprocessing.get_start_method(), method)
                ctx = multiprocessing.get_context()
                self.assertEqual(ctx.get_start_method(), method)
                self.assertTrue(type(ctx).__name__.lower().startswith(method))
                self.assertTrue(
                    ctx.Process.__name__.lower().startswith(method))
                self.check_context(multiprocessing)
                count += 1
        finally:
            multiprocessing.set_start_method(old_method, force=True)
        self.assertGreaterEqual(count, 1) 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def watch(args: argparse.Namespace, options: AnalysisOptions) -> int:
    # Avoid fork() because we've already imported the code we're watching:
    multiprocessing.set_start_method('spawn')

    if not args.files:
        print('No files or directories given to watch', file=sys.stderr)
        return 1
    try:
        with StateUpdater() as state_updater:
            watcher = Watcher(options, args.files, state_updater)
            watcher.check_changed()
            watcher.run_watch_loop()
    except KeyboardInterrupt:
        watcher._pool.terminate()
        print()
        print('I enjoyed working with you today!')
        return 0 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def __init__(self):
        import asyncio
        import multiprocessing
        import signal
        import concurrent.futures

        if sys.platform == 'win32':
            loop = asyncio.ProactorEventLoop()
            asyncio.set_event_loop(loop)
            multiprocessing.set_start_method('spawn')
            executor = concurrent.futures.ProcessPoolExecutor()
        else:
            # The ProcessPoolExecutor is a barely usable for our interactive use
            # case. On SIGINT any busy executor should stop. The only way how this
            # does not explode is that we ignore SIGINT before spawning the process
            # pool and re-enable SIGINT in every executor. In the main process we
            # have to ignore BrokenProcessPool errors as we will likely hit them.
            # To "prime" the process pool a dummy workload must be executed because
            # the processes are spawned lazily.
            loop = asyncio.get_event_loop()
            origSigInt = signal.getsignal(signal.SIGINT)
            signal.signal(signal.SIGINT, signal.SIG_IGN)
            # fork early before process gets big
            if sys.platform == 'msys':
                multiprocessing.set_start_method('fork')
            else:
                multiprocessing.set_start_method('forkserver')
            executor = concurrent.futures.ProcessPoolExecutor()
            executor.submit(dummy).result()
            signal.signal(signal.SIGINT, origSigInt)
        loop.set_default_executor(executor)

        self.__loop = loop
        self.__executor = executor 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def main(ctx: click.Context, config_path: Path, debug: bool) -> None:

    cfg = load_config(config_path, debug)
    multiprocessing.set_start_method('spawn')

    if ctx.invoked_subcommand is None:
        cfg['manager']['pid-file'].write_text(str(os.getpid()))
        log_sockpath = Path(f'/tmp/backend.ai/ipc/manager-logger-{os.getpid()}.sock')
        log_sockpath.parent.mkdir(parents=True, exist_ok=True)
        log_endpoint = f'ipc://{log_sockpath}'
        try:
            logger = Logger(cfg['logging'], is_master=True, log_endpoint=log_endpoint)
            with logger:
                ns = cfg['etcd']['namespace']
                setproctitle(f"backend.ai: manager {ns}")
                log.info('Backend.AI Gateway {0}', __version__)
                log.info('runtime: {0}', env_info())
                log_config = logging.getLogger('ai.backend.gateway.config')
                log_config.debug('debug mode enabled.')

                if cfg['manager']['event-loop'] == 'uvloop':
                    import uvloop
                    uvloop.install()
                    log.info('Using uvloop as the event loop backend')
                try:
                    aiotools.start_server(server_main_logwrapper,
                                          num_workers=cfg['manager']['num-proc'],
                                          args=(cfg, log_endpoint))
                finally:
                    log.info('terminated.')
        finally:
            if cfg['manager']['pid-file'].is_file():
                # check is_file() to prevent deleting /dev/null!
                cfg['manager']['pid-file'].unlink()
    else:
        # Click is going to invoke a subcommand.
        pass 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def start_server(self, tg, optimizer, port):
        """
        Starts the server with a copy of the argument for weird tensorflow multiprocessing issues
        """
        try:
            multiprocessing.set_start_method('spawn')
        except Exception as e:
            pass
        self.server = Process(target=self.start_service, args=(tg, optimizer, port))
        self.server.daemon = True
        self.server.start() 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def dist_init(launcher, backend='nccl', **kwargs):
    if mp.get_start_method(allow_none=True) is None:
        mp.set_start_method('spawn')
    if launcher == 'pytorch':
        _init_dist_pytorch(backend, **kwargs)
    elif launcher == 'mpi':
        _init_dist_mpi(backend, **kwargs)
    elif launcher == 'slurm':
        _init_dist_slurm(backend, **kwargs)
    else:
        raise ValueError('Invalid launcher type: {}'.format(launcher)) 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def __init__(self):

        # append 'converter' folder into sys.path
        # this helps to load custom modules
        converter_folder = os.path.dirname(os.path.realpath(__file__)) + '/converter'
        if converter_folder not in sys.path:
            sys.path.insert(0, converter_folder)

        # parse CLI options
        self.config = Config()

        # first action after config available - setup requested logging level
        logging.basicConfig(
            filename=self.config.log_file(),
            level=self.config.log_level(),
            format='%(asctime)s/%(created)f:%(levelname)s:%(message)s'
        )

        # and call parent
        super().__init__(pidfile=self.config.pid_file())

        # some verbosity
        logging.info('Starting')
        logging.debug(self.config)
        logging.info("sys.path")
        logging.info(pprint.pformat(sys.path))
#        mp.set_start_method('forkserver') 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def scope_session():
    if int(platform.python_version_tuple()[0]) >= 3:
        multiprocessing.set_start_method('forkserver')
        p = multiprocessing.Process(target=dummy_func)
        p.start()
        p.join()
    yield 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def dist_init(port):
    if mp.get_start_method(allow_none=True) != 'spawn':
        mp.set_start_method('spawn')
    proc_id = int(os.environ['SLURM_PROCID'])
    ntasks = int(os.environ['SLURM_NTASKS'])
    node_list = os.environ['SLURM_NODELIST']
    num_gpus = torch.cuda.device_count()
    torch.cuda.set_device(proc_id % num_gpus)

    if '[' in node_list:
        beg = node_list.find('[')
        pos1 = node_list.find('-', beg)
        if pos1 < 0:
            pos1 = 1000
        pos2 = node_list.find(',', beg)
        if pos2 < 0:
            pos2 = 1000
        node_list = node_list[:min(pos1, pos2)].replace('[', '')
    addr = node_list[8:].replace('-', '.')
    print(addr)

    os.environ['MASTER_PORT'] = port
    os.environ['MASTER_ADDR'] = addr
    os.environ['WORLD_SIZE'] = str(ntasks)
    os.environ['RANK'] = str(proc_id)
    dist.init_process_group(backend='nccl')

    rank = dist.get_rank()
    world_size = dist.get_world_size()
    return rank, world_size 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def __init__(self, world_size, run_process_fn, fn_args=None):
        env = os.environ.copy()
        env["WORLD_SIZE"] = str(world_size)
        multiprocessing.set_start_method("spawn")

        # Use random file so multiple jobs can be run simultaneously
        INIT_METHOD = "file:///tmp/crypten-rendezvous-{}".format(uuid.uuid1())
        env["RENDEZVOUS"] = INIT_METHOD

        self.processes = []
        for rank in range(world_size):
            process_name = "process " + str(rank)
            process = multiprocessing.Process(
                target=self.__class__._run_process,
                name=process_name,
                args=(rank, world_size, env, run_process_fn, fn_args),
            )
            self.processes.append(process)

        if crypten.mpc.ttp_required():
            ttp_process = multiprocessing.Process(
                target=self.__class__._run_process,
                name="TTP",
                args=(
                    world_size,
                    world_size,
                    env,
                    crypten.mpc.provider.TTPServer,
                    None,
                ),
            )
            self.processes.append(ttp_process) 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def test_context(self):
        for method in ('fork', 'spawn', 'forkserver'):
            try:
                ctx = multiprocessing.get_context(method)
            except ValueError:
                continue
            self.assertEqual(ctx.get_start_method(), method)
            self.assertIs(ctx.get_context(), ctx)
            self.assertRaises(ValueError, ctx.set_start_method, 'spawn')
            self.assertRaises(ValueError, ctx.set_start_method, None)
            self.check_context(ctx) 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def test_semaphore_tracker(self):
        import subprocess
        cmd = '''if 1:
            import multiprocessing as mp, time, os
            mp.set_start_method("spawn")
            lock1 = mp.Lock()
            lock2 = mp.Lock()
            os.write(%d, lock1._semlock.name.encode("ascii") + b"\\n")
            os.write(%d, lock2._semlock.name.encode("ascii") + b"\\n")
            time.sleep(10)
        '''
        r, w = os.pipe()
        p = subprocess.Popen([sys.executable,
                             '-c', cmd % (w, w)],
                             pass_fds=[w],
                             stderr=subprocess.PIPE)
        os.close(w)
        with open(r, 'rb', closefd=True) as f:
            name1 = f.readline().rstrip().decode('ascii')
            name2 = f.readline().rstrip().decode('ascii')
        _multiprocessing.sem_unlink(name1)
        p.terminate()
        p.wait()
        time.sleep(2.0)
        with self.assertRaises(OSError) as ctx:
            _multiprocessing.sem_unlink(name2)
        # docs say it should be ENOENT, but OSX seems to give EINVAL
        self.assertIn(ctx.exception.errno, (errno.ENOENT, errno.EINVAL))
        err = p.stderr.read().decode('utf-8')
        p.stderr.close()
        expected = 'semaphore_tracker: There appear to be 2 leaked semaphores'
        self.assertRegex(err, expected)
        self.assertRegex(err, 'semaphore_tracker: %r: \[Errno' % name1)

#
# Mixins
# 

# 需要導入模塊: import multiprocessing [as 別名]
# 或者: from multiprocessing import set_start_method [as 別名]
def run():

    # ask user for difficulty
    q_app = QtWidgets.QApplication([])
    q_widget = QtWidgets.QWidget()
    dialog = QtWidgets.QMessageBox(q_widget)
    dialog.addButton('Easy', QtWidgets.QMessageBox.ActionRole)
    dialog.addButton('Medium', QtWidgets.QMessageBox.ActionRole)
    dialog.addButton('Hard', QtWidgets.QMessageBox.ActionRole)
    dialog.addButton('Impossible', QtWidgets.QMessageBox.ActionRole)
    dialog.setText('Choose difficulty:')
    ret = dialog.exec_()

    easy, medium, hard, impossible = range(4)
    sim_time = None
    if ret == easy:
        sim_time = 1
    elif ret == medium:
        sim_time = 3
    elif ret == hard:
        sim_time = 5
    elif ret == impossible:
        sim_time = 8

    mp.set_start_method('spawn')
    gui_process = mp.Process(target=start_client.main)
    gui_process.start()

    run_game.main(BlackAgent='human', WhiteAgent='monte_carlo',
                  sim_time=sim_time, gui=True)