def testDispatcherNumWorkers(self):
dispatcher = server_lib.DispatchServer()
self.assertEqual(0, dispatcher._num_workers())
worker1 = server_lib.WorkerServer( # pylint: disable=unused-variable
server_lib.WorkerConfig(dispatcher._address))
self.assertEqual(1, dispatcher._num_workers())
worker2 = server_lib.WorkerServer( # pylint: disable=unused-variable
server_lib.WorkerConfig(dispatcher._address))
self.assertEqual(2, dispatcher._num_workers())
def testStartServersLate(self):
# Test that the data service client performs retries instead of failing when
# the dataset is created before the master and worker are started.
try:
import portpicker # pylint: disable=g-import-not-at-top
dispatcher_port = portpicker.pick_unused_port()
except:
raise self.skipTest(
"Flakes in portpicker library do not represent "
"TensorFlow errors.")
dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(port=dispatcher_port), start=False)
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher_address=_address_from_target(dispatcher.target),
port=0),
start=False)
def start_servers():
time.sleep(1)
dispatcher.start()
worker.start()
start_servers_thread = threading.Thread(target=start_servers,
daemon=True)
start_servers_thread.start()
num_elements = 10
ds = _make_distributed_range_dataset(num_elements, dispatcher)
results = [elem.numpy() for elem in ds]
self.assertEqual(list(range(num_elements)), results)
start_servers_thread.join()
def add_worker(self, start=True):
self.workers.append(
server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher_address=self.dispatcher_address(),
heartbeat_interval_ms=TEST_HEARTBEAT_INTERVAL_MS,
dispatcher_timeout_ms=1000),
start=start))
def testStartWorkerWithPortConfig(self):
dispatcher = server_lib.DispatchServer()
port = pick_unused_port()
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher._address, port=port),
start=True)
self.assertEqual(worker._address, "localhost:{}".format(port))
def testGcClient(self):
dispatcher = server_lib.DispatchServer(
service_config_pb2.DispatcherConfig(protocol="grpc",
job_gc_check_interval_ms=50,
job_gc_timeout_ms=20,
client_timeout_ms=50))
dispatcher_address = dispatcher.target.split("://")[1]
_ = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher_address=dispatcher_address,
heartbeat_interval_ms=100))
num_elements = 1000
dataset = dataset_ops.Dataset.range(num_elements)
dataset = dataset.apply(
data_service_ops._distribute(processing_mode=ShardingPolicy.OFF,
service=dispatcher.target,
task_refresh_interval_hint_ms=10000))
get_next = self.getNext(dataset)
# The client does not heartbeat in 10 seconds. It will be garbage-collected.
with self.assertRaisesRegex(errors.NotFoundError,
"Unknown job client id"):
self.evaluate(get_next())
time.sleep(3)
self.getIteratorOutput(get_next)
def testKeepClientAliveBeforeReading(self):
dispatcher = server_lib.DispatchServer(
service_config_pb2.DispatcherConfig(protocol="grpc",
job_gc_check_interval_ms=50,
job_gc_timeout_ms=20,
client_timeout_ms=1000))
dispatcher_address = dispatcher.target.split("://")[1]
_ = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher_address=dispatcher_address,
heartbeat_interval_ms=100))
num_elements = 1000
dataset = dataset_ops.Dataset.range(num_elements)
dataset = dataset.apply(
data_service_ops._distribute(
processing_mode=data_service_ops.ShardingPolicy.OFF,
service=dispatcher.target,
task_refresh_interval_hint_ms=100))
get_next = self.getNext(dataset)
# The client regularly heartbeats in 100 milliseconds. It should not be
# garbage-collected even if it does not start reading in 3 seconds.
time.sleep(3)
self.assertEqual(self.getIteratorOutput(get_next),
list(range(num_elements)))
def testStopStartWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher._address))
worker._stop()
with self.assertRaisesRegex(
RuntimeError, "Server cannot be started after it has been stopped"):
worker.start()
def testProfileWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher._address))
# Test the profilers are successfully started and connected to profiler
# service on the worker. Since there is no op running, it is expected to
# return UnavailableError with no trace events collected string.
with self.assertRaises(errors.UnavailableError) as error:
profiler_client.trace(worker._address, tempfile.mkdtemp(), duration_ms=10)
self.assertStartsWith(str(error.exception), "No trace event was collected")
def start_workers(self):
self._workers = []
for _ in range(self._num_workers):
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher_address=self._dispatcher_address),
start=True)
self._workers.append(worker)
self._pipe_writer.send("Remote workers are ready.")
for worker in self._workers:
worker.join()
def restart_worker(self, worker_index=0, use_same_port=True):
"""Replaces the worker at index `worker_index` with a new worker."""
worker = self.workers[worker_index]
port = 0
if use_same_port:
port = int(worker._address.split(":")[1])
worker._stop()
self.workers[worker_index] = server_lib.WorkerServer(
server_lib.WorkerConfig(
dispatcher_address=self.dispatcher_address(),
port=port,
heartbeat_interval_ms=worker._config.heartbeat_interval_ms))
def testDistributeLargeGraphThenRegisterWorker(self, work_dir):
dispatcher = self.start_dispatch_server(work_dir=work_dir,
fault_tolerant_mode=False)
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher_address=self.dispatcher_address(dispatcher), port=0),
start=False)
# Larger than default OSS grpc message size limit of 4MB.
tensor = array_ops.ones((2, 1000, 1000), dtype=dtypes.float32)
ds = dataset_ops.Dataset.from_tensors(tensor)
ds = self.make_distributed_dataset(ds, dispatcher)
it = iter(ds)
worker.start()
self.assertAllEqual(next(it), tensor)
def _make_worker(dispatcher_address, shutdown_quiet_period_ms=0, port=0):
"""Creates a worker server."""
defaults = server_lib.WorkerConfig(dispatcher_address=dispatcher_address)
config_proto = service_config_pb2.WorkerConfig(
dispatcher_address=dispatcher_address,
worker_address=defaults.worker_address,
port=port,
protocol=PROTOCOL,
heartbeat_interval_ms=TEST_HEARTBEAT_INTERVAL_MS,
dispatcher_timeout_ms=TEST_DISPATCHER_TIMEOUT_MS,
data_transfer_protocol=None,
shutdown_quiet_period_ms=shutdown_quiet_period_ms)
return server_lib.WorkerServer(config_proto, start=False)
def start_worker_server(self, dispatcher, port=0):
return server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher_address=_address_from_target(
dispatcher.target),
port=port))
def start_worker_server(self, dispatcher, port=0):
return server_lib.WorkerServer(
server_lib.WorkerConfig(
dispatcher_address=self.dispatcher_address(dispatcher),
port=port,
heartbeat_interval_ms=200))
def start_worker_server(self, dispatcher, port=0):
return server_lib.WorkerServer(
server_lib.WorkerConfig(
dispatcher_address=_address_from_target(dispatcher.target),
port=port,
heartbeat_interval_ms=200))
def testJoinWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher._address))
worker._stop()
worker.join()
def testMultipleStartWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher._address),
start=True)
worker.start()
def testStartWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher._address),
start=False)
worker.start()
