def test_shutdown_during_request_basic_task(self):
result_queue = queue.Queue(1)
def wait_for_exit_code(client, queue):
queue.put(client.wait_for_command_exit_code())
key = secret.make_secret_key()
service_name = 'test-service'
service = BasicTaskService(service_name, key, nics=None, verbose=2)
client = BasicTaskClient(service_name,
service.addresses(),
key,
verbose=2,
attempts=1)
thread = threading.Thread(target=wait_for_exit_code,
args=(client, result_queue))
start = time.time()
thread.start() # wait for command exit code
client.run_command('sleep 2', {}) # execute command
time.sleep(0.5) # give the thread some time to connect before shutdown
service.shutdown() # shutdown should wait on request to finish
duration = time.time() - start
self.assertGreaterEqual(duration, 2)
# we cannot call after shutdown
with pytest.raises(
Exception,
match=r'^(\[[Ee]rrno 104\] Connection reset by peer)'
r'|(\[[Ee]rrno 111\] Connection refused)$'):
client.command_result()
# but still our long running request succeeded
thread.join(1.0)
self.assertFalse(thread.is_alive())
def __init__(self, ray_ctx, verbose=None, start_timeout=None):
self.cores_per_node = ray_ctx.ray_node_cpu_cores
self.num_nodes = ray_ctx.num_ray_nodes
self.worker_class = make_horovod_worker(self.cores_per_node)
self.remote_workers = [self.worker_class.remote() for i in range(0, self.num_nodes)]
hosts = ray.get([worker.hostname.remote() for worker in self.remote_workers])
hosts_spec, name_rank_to_id, host_to_size = _hosts_to_hosts_spec(hosts)
self.host_alloc_plan = _allocate(",".join(hosts_spec), self.num_nodes)
global_rendezv = RendezvousServer(True)
global_rendezv_port = global_rendezv.start_server(self.host_alloc_plan)
if start_timeout is None:
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
all_host_names = [k for k in host_to_size]
settings = hvd_settings.Settings(verbose=2 if verbose else 0,
key=secret.make_secret_key(),
timeout=tmout,
num_hosts=len(all_host_names),
num_proc=self.num_nodes,
hosts=",".join(hosts_spec))
common_intfs = _find_common_network_interface(host_to_size, name_rank_to_id,
self.remote_workers, settings)
iface = list(common_intfs)[0]
driver_ip = _get_driver_ip([iface])
common_envs = {
"HOROVOD_GLOO_RENDEZVOUS_ADDR": driver_ip,
"HOROVOD_GLOO_RENDEZVOUS_PORT": str(global_rendezv_port),
"HOROVOD_CONTROLLER": "gloo",
"HOROVOD_CPU_OPERATIONS": "gloo",
"HOROVOD_GLOO_IFACE": iface,
"PYTHONUNBUFFERED": '1',
}
for key in os.environ:
if key.startswith("HOROVOD"):
common_envs[key] = os.environ[key]
# todo support other Horovod envs
self.per_worker_envs = [common_envs.copy() for _ in range(self.num_nodes)]
for alloc_info in self.host_alloc_plan:
key = (alloc_info.hostname, alloc_info.local_rank)
local_envs = self.per_worker_envs[name_rank_to_id[key]]
local_envs["HOROVOD_RANK"] = str(alloc_info.rank)
local_envs["HOROVOD_SIZE"] = str(alloc_info.size)
local_envs["HOROVOD_LOCAL_RANK"] = str(alloc_info.local_rank)
local_envs["HOROVOD_LOCAL_SIZE"] = str(alloc_info.local_size)
local_envs["HOROVOD_CROSS_RANK"] = str(alloc_info.cross_rank)
local_envs["HOROVOD_CROSS_SIZE"] = str(alloc_info.cross_size)
def test_mpi_run_full(self):
if not mpi_available():
self.skipTest("MPI is not available")
cmd = ['cmd', 'arg1', 'arg2']
nics = ['eth0', 'eth1']
env = {'env1': 'val1', 'env2': 'val2'}
stdout = '<stdout>'
stderr = '<stderr>'
tmout = timeout.Timeout(5, message='Timed out waiting for something.')
settings = hvd_settings.Settings(
verbose=0,
ssh_port=1022,
extra_mpi_args='>mpi-extra args go here<',
binding_args='>binding args go here<',
key=secret.make_secret_key(),
start_timeout=tmout,
num_hosts=1,
num_proc=1,
hosts='>host names go here<',
output_filename='>output filename goes here<',
run_func_mode=True)
def mpi_impl_flags(tcp, env=None):
return ["--mock-mpi-impl-flags"], []
with mock.patch("horovod.run.mpi_run._get_mpi_implementation_flags",
side_effect=mpi_impl_flags) as impl:
with mock.patch("horovod.run.mpi_run.safe_shell_exec.execute",
return_value=0) as execute:
mpi_run(settings, nics, env, cmd, stdout=stdout, stderr=stderr)
# assert call on _get_mpi_implementation_flags
impl.assert_called_once_with(None, env=env)
# call the mocked _get_mpi_implementation_flags method ourselves
mpi_flags, _ = horovod.run.mpi_run._get_mpi_implementation_flags(
False)
self.assertIsNotNone(mpi_flags)
expected_command = (
'mpirun '
'--allow-run-as-root --tag-output '
'-np 1 -H >host names go here< '
'>binding args go here< '
'{mpi_flags} '
'-mca plm_rsh_args "-p 1022" '
'-mca btl_tcp_if_include eth0,eth1 -x NCCL_SOCKET_IFNAME=eth0,eth1 '
'--output-filename >output filename goes here< '
'-x env1 -x env2 '
'>mpi-extra args go here< '
'cmd arg1 arg2').format(mpi_flags=' '.join(mpi_flags))
expected_env = {
'env1': 'val1',
'env2': 'val2',
'PATH': os.environ.get('PATH')
}
execute.assert_called_once_with(expected_command,
env=expected_env,
stdout=stdout,
stderr=stderr)
def test_spark_task_service_env(self):
key = secret.make_secret_key()
service_env = dict([(key, '{} value'.format(key))
for key in SparkTaskService.SERVICE_ENV_KEYS])
service_env.update({"other": "value"})
with os_environ(service_env):
service = SparkTaskService(1, key, None)
client = SparkTaskClient(1, service.addresses(), key, 3)
with tempdir() as d:
file = '{}/env'.format(d)
command = "env | grep -v '^PWD='> {}".format(file)
command_env = {"test": "value"}
try:
client.run_command(command, command_env)
client.wait_for_command_termination()
finally:
service.shutdown()
with open(file) as f:
env = sorted([line.strip() for line in f.readlines()])
expected = [
'HADOOP_TOKEN_FILE_LOCATION=HADOOP_TOKEN_FILE_LOCATION value',
'test=value'
]
self.assertEqual(env, expected)
def init(self,
rendezvous_addr=None,
rendezvous_port=None,
nic=None,
hostname=None,
local_rank=None):
with self._lock:
if self._service:
return
rendezvous_addr = rendezvous_addr or os.environ.get(
HOROVOD_GLOO_RENDEZVOUS_ADDR)
if not rendezvous_addr:
return
rendezvous_port = rendezvous_port if rendezvous_port is not None else \
int(os.environ.get(HOROVOD_GLOO_RENDEZVOUS_PORT))
nic = nic or os.environ.get(HOROVOD_GLOO_IFACE)
hostname = hostname or os.environ.get(HOROVOD_HOSTNAME)
local_rank = local_rank if local_rank is not None else \
int(os.environ.get(HOROVOD_LOCAL_RANK))
secret_key = secret.make_secret_key()
self._service = WorkerNotificationService(secret_key, nic, self)
value = (self._service.addresses(), secret_key)
put_data_into_kvstore(rendezvous_addr, rendezvous_port,
PUT_WORKER_ADDRESSES,
self._create_id(hostname, local_rank), value)
def test_shutdown_during_request_basic(self):
sleep = 2.0
key = secret.make_secret_key()
service = TestSleepService(key, duration=sleep)
client = TestSleepClient(service.addresses(), key, attempts=1)
start = time.time()
threads = list([
in_thread(client.sleep,
name='request {}'.format(i + 1),
daemon=False) for i in range(5)
])
time.sleep(sleep / 2.0)
service.shutdown()
duration = time.time() - start
print('shutdown completed in {} seconds'.format(duration))
self.assertGreaterEqual(duration, sleep,
'sleep requests should have been completed')
self.assertLess(duration, sleep + 1.0,
'sleep requests should have been concurrent')
for thread in threads:
thread.join(0.1)
self.assertFalse(thread.is_alive(),
'thread should have terminated by now')
def spark_driver_service(num_proc, fn=fn, args=(), kwargs={}, key=None, nics=None, verbose=2):
key = key or secret.make_secret_key()
driver = SparkDriverService(num_proc, fn, args, kwargs, key, nics)
client = SparkDriverClient(driver.addresses(), key, verbose)
try:
yield driver, client, key
finally:
driver.shutdown()
def test_exit_code(self):
"""test non-zero exit code"""
key = secret.make_secret_key()
service_name = 'test-service'
service = BasicTaskService(service_name, key, nics=None, verbose=2)
client = BasicTaskClient(service_name, service.addresses(), key, verbose=2, attempts=1)
client.run_command('false', {})
res = client.wait_for_command_exit_code()
self.assertEqual(1, res)
def spark_task_service(index, key=None, nics=None, match_intf=False,
minimum_command_lifetime_s=0, verbose=2):
key = key or secret.make_secret_key()
task = SparkTaskService(index, key, nics, minimum_command_lifetime_s, verbose)
client = SparkTaskClient(index, task.addresses(), key, verbose, match_intf)
try:
yield task, client, key
finally:
task.shutdown()
def _run_elastic(args):
# construct host discovery component
if args.host_discovery_script:
discover_hosts = discovery.HostDiscoveryScript(
args.host_discovery_script, args.slots)
elif args.hosts:
_, available_host_slots = hosts.parse_hosts_and_slots(args.hosts)
if len(available_host_slots) < 2:
raise ValueError(
'Cannot run in fault tolerance mode with fewer than 2 hosts.')
discover_hosts = discovery.FixedHosts(available_host_slots)
else:
raise ValueError(
'One of --host-discovery-script, --hosts, or --hostnames must be provided'
)
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
settings = elastic_settings.ElasticSettings(
discovery=discover_hosts,
min_np=args.min_np or args.np,
max_np=args.max_np,
elastic_timeout=args.elastic_timeout,
reset_limit=args.reset_limit,
num_proc=args.np,
verbose=2 if args.verbose else 0,
ssh_port=args.ssh_port,
extra_mpi_args=args.mpi_args,
key=secret.make_secret_key(),
start_timeout=tmout,
output_filename=args.output_filename,
run_func_mode=args.run_func is not None,
nics=args.nics)
if not gloo_built(verbose=(settings.verbose >= 2)):
raise ValueError(
'Gloo support is required to use elastic training, but has not been built. Ensure CMake is '
'installed and reinstall Horovod with HOROVOD_WITH_GLOO=1 to debug the build error.'
)
env = os.environ.copy()
config_parser.set_env_from_args(env, args)
gloo_run_elastic(settings, env, args.command)
def test_mpi_run_full(self):
if _get_mpi_implementation_flags(False)[0] is None:
self.skipTest("MPI is not available")
cmd = ['cmd', 'arg1', 'arg2']
common_intfs = ['eth0', 'eth1']
env = {'env1': 'val1', 'env2': 'val2'}
stdout = '<stdout>'
stderr = '<stderr>'
tmout = timeout.Timeout(5, message='Timed out waiting for something.')
settings = hvd_settings.Settings(
verbose=0,
ssh_port=1022,
extra_mpi_args='>mpi-extra args go here<',
binding_args='>binding args go here<',
key=secret.make_secret_key(),
timeout=tmout,
num_hosts=1,
num_proc=1,
hosts='>host names go here<',
output_filename='>output filename goes here<',
run_func_mode=True)
run_func = MagicMock(return_value=0)
mpi_run(settings,
common_intfs,
env,
cmd,
stdout=stdout,
stderr=stderr,
run_func=run_func)
mpi_flags, _ = _get_mpi_implementation_flags(False)
self.assertIsNotNone(mpi_flags)
expected_command = (
'mpirun '
'--allow-run-as-root --tag-output '
'-np 1 -H >host names go here< '
'>binding args go here< '
'{mpi_flags} '
'-mca plm_rsh_args "-p 1022" '
'-mca btl_tcp_if_include eth0,eth1 -x NCCL_SOCKET_IFNAME=eth0,eth1 '
'--output-filename >output filename goes here< '
'-x env1 -x env2 '
'>mpi-extra args go here< '
'cmd arg1 arg2').format(mpi_flags=' '.join(mpi_flags))
expected_env = {'env1': 'val1', 'env2': 'val2'}
run_func.assert_called_once_with(command=expected_command,
env=expected_env,
stdout=stdout,
stderr=stderr)
def run(fn,
args=(),
kwargs={},
num_proc=None,
start_timeout=None,
use_mpi=None,
use_gloo=None,
extra_mpi_args=None,
env=None,
stdout=None,
stderr=None,
verbose=1,
nics=None):
"""
Runs Horovod in Spark. Runs `num_proc` processes executing `fn` using the same amount of Spark tasks.
Args:
fn: Function to run.
args: Arguments to pass to `fn`.
kwargs: Keyword arguments to pass to `fn`.
num_proc: Number of Horovod processes. Defaults to `spark.default.parallelism`.
start_timeout: Timeout for Spark tasks to spawn, register and start running the code, in seconds.
If not set, falls back to `HOROVOD_SPARK_START_TIMEOUT` environment variable value.
If it is not set as well, defaults to 600 seconds.
extra_mpi_args: Extra arguments for mpi_run. Defaults to no extra args.
env: Environment dictionary to use in Horovod run. Defaults to `os.environ`.
stdout: Horovod stdout is redirected to this stream. Defaults to sys.stdout.
stderr: Horovod stderr is redirected to this stream. Defaults to sys.stderr.
verbose: Debug output verbosity (0-2). Defaults to 1.
nics: List of NICs for tcp network communication.
Returns:
List of results returned by running `fn` on each rank.
"""
if start_timeout is None:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_SPARK_START_TIMEOUT', '600'))
# nics needs to be a set
if nics and not isinstance(nics, set):
nics = set(nics)
tmout = timeout.Timeout(
start_timeout,
message='Timed out waiting for {activity}. Please check that you have '
'enough resources to run all Horovod processes. Each Horovod '
'process runs in a Spark task. You may need to increase the '
'start_timeout parameter to a larger value if your Spark resources '
'are allocated on-demand.')
settings = hvd_settings.Settings(verbose=verbose,
extra_mpi_args=extra_mpi_args,
key=secret.make_secret_key(),
timeout=tmout,
nics=nics,
run_func_mode=True)
spark_context = pyspark.SparkContext._active_spark_context
if spark_context is None:
raise Exception('Could not find an active SparkContext, are you '
'running in a PySpark session?')
if num_proc is None:
num_proc = spark_context.defaultParallelism
if settings.verbose >= 1:
print(
'Running %d processes (inferred from spark.default.parallelism)...'
% num_proc)
else:
if settings.verbose >= 1:
print('Running %d processes...' % num_proc)
settings.num_proc = num_proc
result_queue = queue.Queue(1)
# start Spark driver service and launch settings.num_proc Spark tasks
spark_job_group = 'horovod.spark.run.%d' % job_id.next_job_id()
driver = driver_service.SparkDriverService(settings.num_proc, fn, args,
kwargs, settings.key,
settings.nics)
spark_thread = _make_spark_thread(spark_context, spark_job_group, driver,
result_queue, settings, use_gloo)
try:
# wait for all tasks to register and notify them
driver.wait_for_initial_registration(settings.timeout)
if settings.verbose >= 2:
print('Initial Spark task registration is complete.')
task_clients = [
task_service.SparkTaskClient(
index, driver.task_addresses_for_driver(index), settings.key,
settings.verbose) for index in range(settings.num_proc)
]
for task_client in task_clients:
task_client.notify_initial_registration_complete()
driver.wait_for_task_to_task_address_updates(settings.timeout)
if settings.verbose >= 2:
print('Spark task-to-task address registration is complete.')
# Determine the index grouping based on host hashes.
# Barrel shift until index 0 is in the first host.
host_hashes = list(driver.task_host_hash_indices().keys())
host_hashes.sort()
while 0 not in driver.task_host_hash_indices()[host_hashes[0]]:
host_hashes = host_hashes[1:] + host_hashes[:1]
settings.hosts = ','.join(
'%s:%d' %
(host_hash, len(driver.task_host_hash_indices()[host_hash]))
for host_hash in host_hashes)
# Determine the ranks to indicies
ranks_to_indices = []
for host_hash in host_hashes:
ranks_to_indices += driver.task_host_hash_indices()[host_hash]
driver.set_ranks_to_indices(ranks_to_indices)
# Run the job
_launch_job(use_mpi, use_gloo, settings, driver, env, stdout, stderr)
except:
# Terminate Spark job.
spark_context.cancelJobGroup(spark_job_group)
# Re-raise exception.
raise
finally:
spark_thread.join()
driver.shutdown()
# Make sure Spark Job did not fail.
driver.check_for_spark_job_failure()
# If there's no exception, execution results are in this queue.
results = result_queue.get_nowait()
return [results[index] for index in ranks_to_indices]
def _run(args):
if args.check_build:
check_build(args.verbose)
# if hosts are not specified, either parse from hostfile, or default as
# localhost
if not args.hosts:
if args.hostfile:
args.hosts = parse_host_files(args.hostfile)
else:
# Set hosts to localhost if not specified
args.hosts = 'localhost:{np}'.format(np=args.np)
host_list = args.hosts.split(',')
all_host_names = []
pattern = re.compile(r'^[\w.-]+:\d+$')
for host in host_list:
if not pattern.match(host.strip()):
raise ValueError('Invalid host input, please make sure it has '
'format as : worker-0:2,worker-1:2.')
all_host_names.append(host.strip().split(':')[0])
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
settings = hvd_settings.Settings(verbose=2 if args.verbose else 0,
ssh_port=args.ssh_port,
ssh_ports=args.ssh_ports,
extra_mpi_args=args.mpi_args,
key=secret.make_secret_key(),
timeout=tmout,
num_hosts=len(all_host_names),
num_proc=args.np,
hosts=args.hosts,
output_filename=args.output_filename,
run_func_mode=args.run_func is not None,
nic=args.nic)
# This cache stores the results of checks performed by horovodrun
# during the initialization step. It can be disabled by setting
# --disable-cache flag.
fn_cache = None
if not args.disable_cache:
params = ''
if args.np:
params += str(args.np) + ' '
if args.hosts:
params += str(args.hosts) + ' '
if args.ssh_port:
params += str(args.ssh_port)
elif args.ssh_ports:
params += str(args.ssh_ports)
parameters_hash = hashlib.md5(params.encode('utf-8')).hexdigest()
fn_cache = cache.Cache(CACHE_FOLDER, CACHE_STALENESS_THRESHOLD_MINUTES,
parameters_hash)
if settings.verbose >= 2:
print('Filtering local host names.')
remote_host_names = network.filter_local_addresses(all_host_names)
if settings.verbose >= 2:
print('Remote host found: ' + ' '.join(remote_host_names))
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Checking ssh on all remote hosts.')
# Check if we can ssh into all remote hosts successfully.
if args.ssh_ports:
ssh_ports = [
port for host, port in zip(all_host_names,
args.ssh_ports.split(","))
if host in set(remote_host_names)
]
ssh_ports = ",".join(ssh_ports)
else:
ssh_ports = None
_check_all_hosts_ssh_successful(remote_host_names,
ssh_port=args.ssh_port,
ssh_ports=ssh_ports,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('SSH was successful into all the remote hosts.')
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Testing interfaces on all the hosts.')
local_host_names = set(all_host_names) - set(remote_host_names)
# Find the set of common, routed interfaces on all the hosts (remote
# and local) and specify it in the args to be used by NCCL. It is
# expected that the following function will find at least one interface
# otherwise, it will raise an exception.
common_intfs = _driver_fn(all_host_names,
local_host_names,
settings,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('Interfaces on all the hosts were successfully checked.')
print('Common interface found: ' + ' '.join(common_intfs))
else:
if settings.verbose >= 2:
print('All hosts are local, finding the interfaces '
'with address 127.0.0.1')
# If all the given hosts are local, find the interfaces with address
# 127.0.0.1
common_intfs = set()
for iface, addrs in net_if_addrs().items():
if settings.nic and iface != settings.nic:
continue
for addr in addrs:
if addr.family == AF_INET and addr.address == '127.0.0.1':
common_intfs.add(iface)
break
if len(common_intfs) == 0:
raise ValueError('No interface is found for address 127.0.0.1.')
if settings.verbose >= 2:
print('Local interface found ' + ' '.join(common_intfs))
# get the driver IPv4 address
driver_ip = _get_driver_ip(common_intfs)
if args.run_func:
run_func_server = KVStoreServer(verbose=settings.verbose)
run_func_server_port = run_func_server.start_server()
pickled_exec_func = cloudpickle.dumps(args.run_func)
put_data_into_kvstore(driver_ip, run_func_server_port, 'runfunc',
'func', pickled_exec_func)
command = [
sys.executable, '-m', 'horovod.run.run_task',
str(driver_ip),
str(run_func_server_port)
]
try:
_launch_job(args, remote_host_names, settings, common_intfs,
command)
results = [None] * args.np
# TODO: make it parallel to improve performance
for i in range(args.np):
pickled_result = read_data_from_kvstore(
driver_ip, run_func_server_port, 'runfunc_result', str(i))
results[i] = cloudpickle.loads(pickled_result)
return results
finally:
run_func_server.shutdown_server()
else:
command = args.command
_launch_job(args, remote_host_names, settings, common_intfs, command)
return None
def _run_static(args):
all_host_names, _ = parse_hosts_and_slots(args.hosts)
nics_set = set(args.nics.split(',')) if args.nics else None
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
settings = hvd_settings.Settings(verbose=2 if args.verbose else 0,
ssh_port=args.ssh_port,
extra_mpi_args=args.mpi_args,
tcp_flag=args.tcp_flag,
binding_args=args.binding_args,
key=secret.make_secret_key(),
start_timeout=tmout,
num_proc=args.np,
hosts=args.hosts,
num_hosts=len(all_host_names),
output_filename=args.output_filename,
run_func_mode=args.run_func is not None,
nics=nics_set)
# This cache stores the results of checks performed by horovod
# during the initialization step. It can be disabled by setting
# --disable-cache flag.
fn_cache = None
if not args.disable_cache:
params = ''
if args.np:
params += str(args.np) + ' '
if args.hosts:
params += str(args.hosts) + ' '
if args.ssh_port:
params += str(args.ssh_port)
parameters_hash = hashlib.md5(params.encode('utf-8')).hexdigest()
fn_cache = cache.Cache(CACHE_FOLDER, CACHE_STALENESS_THRESHOLD_MINUTES,
parameters_hash)
if settings.verbose >= 2:
print('Filtering local host names.')
remote_host_names = network.filter_local_addresses(all_host_names)
if settings.verbose >= 2:
print('Remote host found: ' + ' '.join(remote_host_names))
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Checking ssh on all remote hosts.')
# Check if we can ssh into all remote hosts successfully.
_check_all_hosts_ssh_successful(remote_host_names,
args.ssh_port,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('SSH was successful into all the remote hosts.')
nics = driver_service.get_common_interfaces(settings, all_host_names,
remote_host_names, fn_cache)
if args.run_func:
# get the driver IPv4 address
driver_ip = network.get_driver_ip(nics)
run_func_server = KVStoreServer(verbose=settings.verbose)
run_func_server_port = run_func_server.start_server()
put_data_into_kvstore(driver_ip, run_func_server_port, 'runfunc',
'func', args.run_func)
command = [
sys.executable, '-m', 'horovod.run.run_task',
str(driver_ip),
str(run_func_server_port)
]
try:
_launch_job(args, settings, nics, command)
results = [None] * args.np
# TODO: make it parallel to improve performance
for i in range(args.np):
results[i] = read_data_from_kvstore(driver_ip,
run_func_server_port,
'runfunc_result', str(i))
return results
finally:
run_func_server.shutdown_server()
else:
command = args.command
_launch_job(args, settings, nics, command)
return None
def run_elastic(fn,
args=(),
kwargs={},
num_proc=None,
min_np=None,
max_np=None,
start_timeout=None,
elastic_timeout=None,
reset_limit=None,
env=None,
verbose=1,
nics=None):
"""
Runs Elastic Horovod in Spark. Runs `num_proc` processes executing `fn` using the same amount of Spark tasks.
Args:
fn: Function to run.
args: Arguments to pass to `fn`.
kwargs: Keyword arguments to pass to `fn`.
num_proc: Number of Horovod processes. Defaults to `spark.default.parallelism`.
start_timeout: Timeout for Spark tasks to spawn, register and start running the code, in seconds.
If not set, falls back to `HOROVOD_SPARK_START_TIMEOUT` environment variable value.
If it is not set as well, defaults to 600 seconds.
elastic_timeout: Timeout for elastic initialisation after re-scaling the cluster.
If not set, falls back to `HOROVOD_ELASTIC_TIMEOUT` environment variable value.
If it is not set as well, defaults to 600 seconds.
reset_limit: Maximum number of resets after which the job is terminated.
env: Environment dictionary to use in Horovod run. Defaults to `os.environ`.
verbose: Debug output verbosity (0-2). Defaults to 1.
nics: List of NICs for tcp network communication.
Returns:
List of results returned by running `fn` on each rank.
"""
if not gloo_built(verbose=(verbose >= 2)):
raise ValueError(
'Gloo support is required to use elastic training, but has not been built. Ensure CMake is '
'installed and reinstall Horovod with HOROVOD_WITH_GLOO=1 to debug the build error.'
)
spark_context = pyspark.SparkContext._active_spark_context
if spark_context is None:
raise Exception('Could not find an active SparkContext, are you '
'running in a PySpark session?')
if start_timeout is None:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_SPARK_START_TIMEOUT', '600'))
# nics needs to be a set
if nics and not isinstance(nics, set):
nics = set(nics)
if num_proc is None:
# TODO: #2023 try spark.dynamicAllocation.initialExecutors
num_proc = spark_context.defaultParallelism
if verbose >= 1:
logging.info(
'Running %d processes (inferred from spark.default.parallelism)...',
num_proc)
else:
if verbose >= 1:
logging.info('Running %d processes...', num_proc)
if min_np is None:
# TODO: #2023 try spark.dynamicAllocation.minExecutors
min_np = num_proc
if max_np is None:
# TODO: #2023 try spark.dynamicAllocation.maxExecutors
max_np = num_proc
# start Spark driver service and launch settings.num_proc Spark tasks
key = secret.make_secret_key()
spark_job_group = 'horovod.spark.run.%d' % job_id.next_job_id()
driver = driver_service.SparkDriverService(num_proc, fn, args, kwargs, key,
nics)
discovery = host_discovery.SparkDriverHostDiscovery(driver)
tmout = timeout.Timeout(
start_timeout,
message='Timed out waiting for {activity}. Please check that you have '
'enough resources to run all Horovod processes. Each Horovod '
'process runs in a Spark task. You may need to increase the '
'start_timeout parameter to a larger value if your Spark resources '
'are allocated on-demand.')
settings = hvd_elastic_settings.ElasticSettings(
discovery=discovery,
min_np=min_np,
max_np=max_np,
elastic_timeout=elastic_timeout,
reset_limit=reset_limit,
num_proc=num_proc,
verbose=verbose,
key=key,
start_timeout=tmout,
nics=nics,
run_func_mode=True)
result_queue = queue.Queue(1)
# launch settings.num_proc / settings.max_np Spark tasks
spark_thread = _make_spark_thread(spark_context,
spark_job_group,
driver,
result_queue,
settings,
use_gloo=True,
is_elastic=True)
try:
# Register task addresses of initial num_proc tasks
_register_task_addresses(driver, settings)
# Run the job
gloo_run_elastic(settings, driver, env)
except:
# Terminate Spark job.
spark_context.cancelJobGroup(spark_job_group)
# Re-raise exception.
raise
finally:
spark_thread.join()
driver.shutdown()
# Make sure Spark Job did not fail.
driver.check_for_spark_job_failure()
# get ranks from driver
indices_in_rank_order = _get_indices_in_rank_order(driver)
# If there's no exception, execution results are in this queue.
results = result_queue.get_nowait()
return [results[index] for index in indices_in_rank_order]
def run():
args = parse_args()
if args.version:
print(horovod.__version__)
exit(0)
if args.host:
all_host_names = [x for x in
[y.split(':')[0] for y in args.host.split(',')]]
else:
all_host_names = []
# This cache stores the results of checks performed by horovodrun
# during the initialization step. It can be disabled by setting
# --disable-cache flag.
fn_cache = None
if not args.disable_cache:
params = ''
if args.np:
params += str(args.np) + ' '
if args.host:
params += str(args.host) + ' '
if args.ssh_port:
params += str(args.ssh_port)
parameters_hash = hashlib.md5(params.encode('utf-8')).hexdigest()
fn_cache = cache.Cache(CACHE_FOLDER, CACHE_STALENESS_THRESHOLD_MINUTES,
parameters_hash)
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '600'))
tmout = timeout.Timeout(start_timeout)
key = secret.make_secret_key()
remote_host_names = []
if args.host:
if args.verbose:
print("Filtering local host names.")
remote_host_names = network.filter_local_addresses(all_host_names)
if len(remote_host_names) > 0:
if args.verbose:
print("Checking ssh on all remote hosts.")
# Check if we can ssh into all remote hosts successfully.
_check_all_hosts_ssh_successful(remote_host_names, args.ssh_port,
fn_cache=fn_cache)
if args.verbose:
print("SSH was successful into all the remote hosts.")
hosts_arg = "-H {hosts}".format(hosts=args.host)
else:
# if user does not specify any hosts, mpirun by default uses local host.
# There is no need to specify localhost.
hosts_arg = ""
if args.host and len(remote_host_names) > 0:
if args.verbose:
print("Testing interfaces on all the hosts.")
local_host_names = set(all_host_names) - set(remote_host_names)
# Find the set of common, routed interfaces on all the hosts (remote
# and local) and specify it in the args to be used by NCCL. It is
# expected that the following function will find at least one interface
# otherwise, it will raise an exception.
common_intfs = _driver_fn(key,
all_host_names, local_host_names, tmout,
args.ssh_port, args.verbose,
fn_cache=fn_cache)
tcp_intf_arg = "-mca btl_tcp_if_include {common_intfs}".format(
common_intfs=','.join(common_intfs))
nccl_socket_intf_arg = "-x NCCL_SOCKET_IFNAME={common_intfs}".format(
common_intfs=','.join(common_intfs))
if args.verbose:
print("Interfaces on all the hosts were successfully checked.")
else:
# If all the given hosts are local, no need to specify the interfaces
# because MPI does not use network for local execution.
tcp_intf_arg = ""
nccl_socket_intf_arg = ""
# Pass all the env variables to the mpirun command.
env = os.environ.copy()
# Pass secret key through the environment variables.
env[secret.HOROVOD_SECRET_KEY] = codec.dumps_base64(key)
if not _is_open_mpi_installed():
raise Exception(
'horovodrun convenience script currently only supports '
'Open MPI.\n\n'
'Choose one of:\n'
'1. Install Open MPI 4.0.0+ and re-install Horovod '
'(use --no-cache-dir pip option).\n'
'2. Run distributed '
'training script using the standard way provided by your'
' MPI distribution (usually mpirun, srun, or jsrun).')
if args.ssh_port:
ssh_port_arg = "-mca plm_rsh_args \"-p {ssh_port}\"".format(
ssh_port=args.ssh_port)
else:
ssh_port_arg = ""
mpirun_command = (
'mpirun --allow-run-as-root --tag-output '
'-np {num_proc} {hosts_arg} '
'-bind-to none -map-by slot '
'-mca pml ob1 -mca btl ^openib '
'{ssh_port_arg} '
'{tcp_intf_arg} '
'-x NCCL_DEBUG=INFO '
'{nccl_socket_intf_arg} '
'{env} {command}' # expect a lot of environment variables
.format(num_proc=args.np,
hosts_arg=hosts_arg,
tcp_intf_arg=tcp_intf_arg,
nccl_socket_intf_arg=nccl_socket_intf_arg,
ssh_port_arg=ssh_port_arg,
env=' '.join('-x %s' % key for key in env.keys()),
command=' '.join(quote(par) for par in args.command))
)
if args.verbose:
print(mpirun_command)
# Execute the mpirun command.
exit_code = safe_shell_exec.execute(mpirun_command, env)
if exit_code != 0:
raise Exception(
'mpirun exited with code %d, see the error above.' % exit_code)
def run():
args = parse_args()
if args.check_build:
check_build(args.verbose)
# if hosts are not specified, either parse from hostfile, or default as
# localhost
if not args.hosts:
if args.hostfile:
args.hosts = parse_host_files(args.hostfile)
else:
# Set hosts to localhost if not specified
args.hosts = 'localhost:{np}'.format(np=args.np)
host_list = args.hosts.split(',')
all_host_names = []
pattern = re.compile(r'^[\w.-]+:\d+$')
for host in host_list:
if not pattern.match(host.strip()):
raise ValueError('Invalid host input, please make sure it has '
'format as : worker-0:2,worker-1:2.')
all_host_names.append(host.strip().split(':')[0])
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
settings = hvd_settings.Settings(verbose=2 if args.verbose else 0,
ssh_port=args.ssh_port,
key=secret.make_secret_key(),
timeout=tmout,
num_hosts=len(all_host_names),
num_proc=args.np,
hosts=args.hosts,
command=args.command)
# This cache stores the results of checks performed by horovodrun
# during the initialization step. It can be disabled by setting
# --disable-cache flag.
fn_cache = None
if not args.disable_cache:
params = ''
if args.np:
params += str(args.np) + ' '
if args.hosts:
params += str(args.hosts) + ' '
if args.ssh_port:
params += str(args.ssh_port)
parameters_hash = hashlib.md5(params.encode('utf-8')).hexdigest()
fn_cache = cache.Cache(CACHE_FOLDER, CACHE_STALENESS_THRESHOLD_MINUTES,
parameters_hash)
if settings.verbose >= 2:
print('Filtering local host names.')
remote_host_names = network.filter_local_addresses(all_host_names)
if settings.verbose >= 2:
print('Remote host found: ' + ' '.join(remote_host_names))
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Checking ssh on all remote hosts.')
# Check if we can ssh into all remote hosts successfully.
_check_all_hosts_ssh_successful(remote_host_names,
args.ssh_port,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('SSH was successful into all the remote hosts.')
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Testing interfaces on all the hosts.')
local_host_names = set(all_host_names) - set(remote_host_names)
# Find the set of common, routed interfaces on all the hosts (remote
# and local) and specify it in the args to be used by NCCL. It is
# expected that the following function will find at least one interface
# otherwise, it will raise an exception.
common_intfs = _driver_fn(all_host_names,
local_host_names,
settings,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('Interfaces on all the hosts were successfully checked.')
print('Common interface found: ' + ' '.join(common_intfs))
else:
if settings.verbose >= 2:
print('All hosts are local, finding the interfaces '
'with address 127.0.0.1')
# If all the given hosts are local, find the interfaces with address
# 127.0.0.1
common_intfs = set()
for iface, addrs in net_if_addrs().items():
for addr in addrs:
if addr.family == AF_INET and addr.address == '127.0.0.1':
common_intfs.add(iface)
break
if len(common_intfs) == 0:
raise ValueError('No interface is found for address 127.0.0.1.')
if settings.verbose >= 2:
print('Local interface found ' + ' '.join(common_intfs))
env = os.environ.copy()
config_parser.set_env_from_args(env, args)
if args.use_gloo:
if not gloo_built(verbose=(settings.verbose >= 2)):
raise ValueError(
'Gloo support has not been built. If this is not expected, ensure CMake is installed '
'and reinstall Horovod with HOROVOD_WITH_GLOO=1 to debug the build error.'
)
gloo_run(settings, remote_host_names, common_intfs, env)
elif args.use_mpi:
if not mpi_built(verbose=(settings.verbose >= 2)):
raise ValueError(
'MPI support has not been built. If this is not expected, ensure MPI is installed '
'and reinstall Horovod with HOROVOD_WITH_MPI=1 to debug the build error.'
)
mpi_run(settings, common_intfs, env)
else:
if mpi_built(verbose=(settings.verbose >= 2)):
mpi_run(settings, common_intfs, env)
elif gloo_built(verbose=(settings.verbose >= 2)):
gloo_run(settings, remote_host_names, common_intfs, env)
else:
raise ValueError(
'Neither MPI nor Gloo support has been built. Try reinstalling Horovod ensuring that '
'either MPI is installed (MPI) or CMake is installed (Gloo).')
def run(fn, args=(), kwargs={}, num_proc=None, start_timeout=None, env=None,
stdout=None, stderr=None, verbose=1):
"""
Runs Horovod in Spark. Runs `num_proc` processes executing `fn` using the same amount of Spark tasks.
Args:
fn: Function to run.
args: Arguments to pass to `fn`.
kwargs: Keyword arguments to pass to `fn`.
num_proc: Number of Horovod processes. Defaults to `spark.default.parallelism`.
start_timeout: Timeout for Spark tasks to spawn, register and start running the code, in seconds.
If not set, falls back to `HOROVOD_SPARK_START_TIMEOUT` environment variable value.
If it is not set as well, defaults to 600 seconds.
env: Environment dictionary to use in Horovod run. Defaults to `os.environ`.
stdout: Horovod stdout is redirected to this stream. Defaults to sys.stdout.
stderr: Horovod stderr is redirected to this stream. Defaults to sys.stderr.
verbose: Debug output verbosity (0-2). Defaults to 1.
Returns:
List of results returned by running `fn` on each rank.
"""
if start_timeout is None:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_SPARK_START_TIMEOUT', '600'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please check that you have '
'enough resources to run all Horovod processes. Each Horovod '
'process runs in a Spark task. You may need to increase the '
'start_timeout parameter to a larger value if your Spark resources '
'are allocated on-demand.')
settings = hvd_settings.Settings(verbose=verbose,
key=secret.make_secret_key(),
timeout=tmout)
spark_context = pyspark.SparkContext._active_spark_context
if spark_context is None:
raise Exception('Could not find an active SparkContext, are you '
'running in a PySpark session?')
if num_proc is None:
num_proc = spark_context.defaultParallelism
if settings.verbose >= 1:
print('Running %d processes (inferred from spark.default.parallelism)...' % num_proc)
else:
if settings.verbose >= 1:
print('Running %d processes...' % num_proc)
settings.num_proc = num_proc
result_queue = queue.Queue(1)
spark_job_group = 'horovod.spark.run.%d' % job_id.next_job_id()
driver = driver_service.SparkDriverService(settings.num_proc, fn, args, kwargs,
settings.key)
spark_thread = _make_spark_thread(spark_context, spark_job_group, driver,
result_queue, settings)
try:
driver.wait_for_initial_registration(settings.timeout)
if settings.verbose >= 2:
print('Initial Spark task registration is complete.')
task_clients = [
task_service.SparkTaskClient(index,
driver.task_addresses_for_driver(index),
settings.key, settings.verbose)
for index in range(settings.num_proc)]
for task_client in task_clients:
task_client.notify_initial_registration_complete()
driver.wait_for_task_to_task_address_updates(settings.timeout)
if settings.verbose >= 2:
print('Spark task-to-task address registration is complete.')
# Determine a set of common interfaces for task-to-task communication.
common_intfs = set(driver.task_addresses_for_tasks(0).keys())
for index in range(1, settings.num_proc):
common_intfs.intersection_update(driver.task_addresses_for_tasks(index).keys())
if not common_intfs:
raise Exception('Unable to find a set of common task-to-task communication interfaces: %s'
% [(index, driver.task_addresses_for_tasks(index)) for index in range(settings.num_proc)])
# Determine the index grouping based on host hashes.
# Barrel shift until index 0 is in the first host.
host_hashes = list(driver.task_host_hash_indices().keys())
host_hashes.sort()
while 0 not in driver.task_host_hash_indices()[host_hashes[0]]:
host_hashes = host_hashes[1:] + host_hashes[:1]
ranks_to_indices = []
for host_hash in host_hashes:
ranks_to_indices += driver.task_host_hash_indices()[host_hash]
driver.set_ranks_to_indices(ranks_to_indices)
if env is None:
env = os.environ.copy()
# Pass secret key through the environment variables.
env[secret.HOROVOD_SECRET_KEY] = codec.dumps_base64(settings.key)
mpirun_command = (
'mpirun --allow-run-as-root --tag-output '
'-np {num_proc} -H {hosts} '
'-bind-to none -map-by slot '
'-mca pml ob1 -mca btl ^openib -mca btl_tcp_if_include {common_intfs} '
'-x NCCL_DEBUG=INFO -x NCCL_SOCKET_IFNAME={common_intfs} '
'{env} ' # expect a lot of environment variables
'-mca plm_rsh_agent "{python} -m horovod.spark.driver.mpirun_rsh {encoded_driver_addresses} {settings}" '
'{python} -m horovod.spark.task.mpirun_exec_fn {encoded_driver_addresses} {settings}'
.format(num_proc=settings.num_proc,
hosts=','.join('%s:%d' % (host_hash, len(driver.task_host_hash_indices()[host_hash]))
for host_hash in host_hashes),
common_intfs=','.join(common_intfs),
env=' '.join('-x %s' % key for key in env.keys() if env_util.is_exportable(key)),
python=sys.executable,
encoded_driver_addresses=codec.dumps_base64(driver.addresses()),
settings=codec.dumps_base64(settings)))
if settings.verbose >= 2:
print('+ %s' % mpirun_command)
exit_code = safe_shell_exec.execute(mpirun_command, env, stdout, stderr)
if exit_code != 0:
raise Exception('mpirun exited with code %d, see the error above.' % exit_code)
except:
# Terminate Spark job.
spark_context.cancelJobGroup(spark_job_group)
# Re-raise exception.
raise
finally:
spark_thread.join()
driver.shutdown()
# Make sure Spark Job did not fail.
driver.check_for_spark_job_failure()
# If there's no exception, execution results are in this queue.
results = result_queue.get_nowait()
return [results[index] for index in ranks_to_indices]
def _run(args):
if args.check_build:
check_build(args.verbose)
# If LSF is used, use default values from job config
if lsf.LSFUtils.using_lsf():
if not args.np:
args.np = lsf.LSFUtils.get_num_processes()
if not args.hosts and not args.hostfile:
args.hosts = ','.join(
'{host}:{np}'.format(host=host, np=lsf.LSFUtils.get_num_gpus())
for host in lsf.LSFUtils.get_compute_hosts())
# if hosts are not specified, either parse from hostfile, or default as
# localhost
if not args.hosts:
if args.hostfile:
args.hosts = parse_host_files(args.hostfile)
else:
# Set hosts to localhost if not specified
args.hosts = 'localhost:{np}'.format(np=args.np)
host_list = args.hosts.split(',')
all_host_names = []
pattern = re.compile(r'^[\w.-]+:\d+$')
for host in host_list:
if not pattern.match(host.strip()):
raise ValueError('Invalid host input, please make sure it has '
'format as : worker-0:2,worker-1:2.')
all_host_names.append(host.strip().split(':')[0])
# horovodrun has to finish all the checks before this timeout runs out.
if args.start_timeout:
start_timeout = args.start_timeout
else:
# Lookup default timeout from the environment variable.
start_timeout = int(os.getenv('HOROVOD_START_TIMEOUT', '30'))
tmout = timeout.Timeout(start_timeout,
message='Timed out waiting for {activity}. Please '
'check connectivity between servers. You '
'may need to increase the --start-timeout '
'parameter if you have too many servers.')
settings = hvd_settings.Settings(verbose=2 if args.verbose else 0,
ssh_port=args.ssh_port,
extra_mpi_args=args.mpi_args,
tcp_flag=args.tcp_flag,
binding_args=args.binding_args,
key=secret.make_secret_key(),
timeout=tmout,
num_hosts=len(all_host_names),
num_proc=args.np,
hosts=args.hosts,
output_filename=args.output_filename,
run_func_mode=args.run_func is not None,
nic=args.nic)
# This cache stores the results of checks performed by horovodrun
# during the initialization step. It can be disabled by setting
# --disable-cache flag.
fn_cache = None
if not args.disable_cache:
params = ''
if args.np:
params += str(args.np) + ' '
if args.hosts:
params += str(args.hosts) + ' '
if args.ssh_port:
params += str(args.ssh_port)
parameters_hash = hashlib.md5(params.encode('utf-8')).hexdigest()
fn_cache = cache.Cache(CACHE_FOLDER, CACHE_STALENESS_THRESHOLD_MINUTES,
parameters_hash)
if settings.verbose >= 2:
print('Filtering local host names.')
remote_host_names = network.filter_local_addresses(all_host_names)
if settings.verbose >= 2:
print('Remote host found: ' + ' '.join(remote_host_names))
if len(remote_host_names) > 0:
if settings.verbose >= 2:
print('Checking ssh on all remote hosts.')
# Check if we can ssh into all remote hosts successfully.
_check_all_hosts_ssh_successful(remote_host_names,
args.ssh_port,
fn_cache=fn_cache)
if settings.verbose >= 2:
print('SSH was successful into all the remote hosts.')
common_intfs = driver_service._get_common_interfaces(
settings, all_host_names, remote_host_names, fn_cache)
if args.run_func:
# get the driver IPv4 address
driver_ip = network._get_driver_ip(common_intfs)
run_func_server = KVStoreServer(verbose=settings.verbose)
run_func_server_port = run_func_server.start_server()
pickled_exec_func = cloudpickle.dumps(args.run_func)
put_data_into_kvstore(driver_ip, run_func_server_port, 'runfunc',
'func', pickled_exec_func)
command = [
sys.executable, '-m', 'horovod.run.run_task',
str(driver_ip),
str(run_func_server_port)
]
try:
_launch_job(args, remote_host_names, settings, common_intfs,
command)
results = [None] * args.np
# TODO: make it parallel to improve performance
for i in range(args.np):
pickled_result = read_data_from_kvstore(
driver_ip, run_func_server_port, 'runfunc_result', str(i))
results[i] = cloudpickle.loads(pickled_result)
return results
finally:
run_func_server.shutdown_server()
else:
command = args.command
_launch_job(args, remote_host_names, settings, common_intfs, command)
return None