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# Owner(s): ["oncall: distributed"]
import os
import sys
import tempfile
import time
from datetime import timedelta
from sys import platform
import torch
import torch.distributed as dist
import torch.distributed.rpc as rpc
if not dist.is_available():
print("torch.distributed not available, skipping tests", file=sys.stderr)
sys.exit(0)
import torch.testing._internal.common_utils as common
from torch._six import string_classes
from torch.testing._internal.common_distributed import (
skip_if_win32,
create_tcp_store
)
from torch.testing._internal.common_utils import (
TestCase,
load_tests,
run_tests,
retry_on_connect_failures,
ADDRESS_IN_USE,
CONNECT_TIMEOUT,
)
# load_tests from common_utils is used to automatically filter tests for
# sharding on sandcastle. This line silences flake warnings
load_tests = load_tests
if platform == "darwin":
LOOPBACK = "lo0"
else:
LOOPBACK = "lo"
DEFAULT_HOSTNAME = "localhost"
torch.backends.cuda.matmul.allow_tf32 = False
def gpus_for_rank(world_size):
"""Multigpu tests are designed to simulate the multi nodes with multi
GPUs on each node. Nccl backend requires equal #GPUs in each process.
On a single node, all visible GPUs are evenly
divided to subsets, each process only uses a subset.
"""
visible_devices = list(range(torch.cuda.device_count()))
gpus_per_process = torch.cuda.device_count() // world_size
gpus_for_rank = []
for rank in range(world_size):
gpus_for_rank.append(
visible_devices[rank * gpus_per_process: (rank + 1) * gpus_per_process]
)
return gpus_for_rank
class StoreTestBase(object):
def _create_store(self, i):
raise RuntimeError("not implemented")
def _test_set_get(self, fs):
fs.add("key", 1)
fs.add("key", 2)
fs.add("key", 3)
fs.set("key0", "value0")
fs.add("key3", 1)
fs.set("key1", "value1")
fs.add("key3", 2)
fs.set("key2", "value2")
fs.add("key3", 3)
fs.add("key3", 4)
fs.add("key3", 5)
fs.add("key3", 6)
self.assertEqual(fs.num_keys(), self.num_keys_total)
self.assertEqual(b"6", fs.get("key"))
self.assertEqual(b"value0", fs.get("key0"))
self.assertEqual(b"value1", fs.get("key1"))
self.assertEqual(b"value2", fs.get("key2"))
self.assertEqual(b"21", fs.get("key3"))
fs.set("-key3", "7")
self.assertEqual(b"7", fs.get("-key3"))
fs.delete_key("-key3")
self.assertEqual(fs.num_keys(), self.num_keys_total)
def test_set_get(self):
self._test_set_get(self._create_store())
def _test_compare_set(self, store):
missing_key_result = store.compare_set("cs_key0", "wrong_old_value", "new_value0")
self.assertEqual(b"wrong_old_value", missing_key_result)
store.set("cs_key0", "value0")
self.assertEqual(b"value0", store.get("cs_key0"))
old_value_result = store.compare_set("cs_key0", "wrong_old_value", "new_value0")
self.assertEqual(b"value0", old_value_result)
self.assertEqual(b"value0", store.get("cs_key0"))
new_value_result = store.compare_set("cs_key0", "value0", "new_value0")
self.assertEqual(b"new_value0", new_value_result)
self.assertEqual(b"new_value0", store.get("cs_key0"))
empty_old_value_result = store.compare_set("cs_key1", "", "new_value1")
self.assertEqual(b"new_value1", empty_old_value_result)
self.assertEqual(b"new_value1", store.get("cs_key1"))
def test_compare_set(self):
self._test_compare_set(self._create_store())
# This is the number of keys used in test_set_get. Adding this as a class
# property instead of hardcoding in the test since some Store
# implementations will have differing number of keys. In the base case,
# there will be 5 keys: key, key0, key1, key2, key3.
@property
def num_keys_total(self):
return 5
class FileStoreTest(TestCase, StoreTestBase):
def setUp(self):
super(FileStoreTest, self).setUp()
self.file = tempfile.NamedTemporaryFile(delete=False)
def _create_store(self):
store = dist.FileStore(self.file.name, 1)
store.set_timeout(timedelta(seconds=300))
return store
@skip_if_win32()
class HashStoreTest(TestCase, StoreTestBase):
def setUp(self):
super(HashStoreTest, self).setUp()
def _create_store(self):
store = dist.HashStore()
store.set_timeout(timedelta(seconds=300))
return store
class PrefixStoreTest(TestCase):
def setUp(self):
# delete is false as FileStore will automatically clean up the file
self.file = tempfile.NamedTemporaryFile(delete=False)
def test_get_underlying_store(self):
tcp_store = dist.TCPStore(host_name=DEFAULT_HOSTNAME, port=0, world_size=1, is_master=True)
hash_store = dist.HashStore()
file_store = dist.FileStore(self.file.name, world_size=1)
for store in [tcp_store, hash_store, file_store]:
with self.subTest(f"Testing getting underlying_store for {type(store)}"):
prefix_store = dist.PrefixStore("prefix", store)
self.assertEqual(prefix_store.underlying_store, store)
class PrefixFileStoreTest(TestCase, StoreTestBase):
def setUp(self):
super(PrefixFileStoreTest, self).setUp()
self.file = tempfile.NamedTemporaryFile(delete=False)
self.filestore = dist.FileStore(self.file.name, 1)
self.prefix = "test_prefix"
self.filestore.set_timeout(timedelta(seconds=300))
def _create_store(self):
return dist.PrefixStore(self.prefix, self.filestore)
class TCPStoreTest(TestCase, StoreTestBase):
def _create_store(self):
store = create_tcp_store()
store.set_timeout(timedelta(seconds=300))
return store
def test_address_already_in_use(self):
err_msg_reg = "^The server socket has failed to listen on any local "
with self.assertRaisesRegex(RuntimeError, err_msg_reg):
addr = DEFAULT_HOSTNAME
port = common.find_free_port()
# Use noqa to silence flake8.
# Need to store in an unused variable here to ensure the first
# object is not destroyed before the second object is created.
store1 = dist.TCPStore(addr, port, 1, True) # noqa: F841
store2 = dist.TCPStore(addr, port, 1, True) # noqa: F841
@retry_on_connect_failures
def test_multitenancy(self):
addr = DEFAULT_HOSTNAME
port = common.find_free_port()
# Use noqa to silence flake8.
# Need to store in an unused variable here to ensure the first
# object is not destroyed before the second object is created.
store1 = dist.TCPStore(addr, port, 1, True, multi_tenant=True) # type: ignore[call-arg] # noqa: F841
store2 = dist.TCPStore(addr, port, 1, True, multi_tenant=True) # type: ignore[call-arg] # noqa: F841
@skip_if_win32()
@retry_on_connect_failures
def test_init_pg_and_rpc_with_same_socket(self):
addr = DEFAULT_HOSTNAME
port = common.find_free_port()
os.environ["MASTER_ADDR"] = addr
os.environ["MASTER_PORT"] = str(port)
# We internally use a multi-tenant TCP store. Both PG and RPC should successfully
# initialize even when using the same socket address.
dist.init_process_group(
backend="gloo",
init_method="env://",
rank=0,
world_size=1,
)
backend_opts = rpc.TensorPipeRpcBackendOptions(
init_method=f"tcp://{addr}:{port}"
)
rpc.init_rpc(
name="worker0",
rank=0,
world_size=1,
rpc_backend_options=backend_opts,
)
rpc.shutdown()
# The TCPStore has 6 keys in test_set_get. It contains the 5 keys added by
# the user and one additional key used for coordinate all the workers.
@property
def num_keys_total(self):
return 6
def _test_numkeys_delkeys(self, fs):
# We start off with one init key in the store to coordinate workers
self.assertEqual(fs.num_keys(), 1)
fs.add("key", 1)
fs.add("key", 2)
fs.add("key", 3)
fs.set("key0", "value0")
fs.add("key3", 1)
fs.set("key1", "value1")
self.assertEqual(fs.num_keys(), 5)
fs.delete_key("key")
self.assertEqual(fs.num_keys(), 4)
fs.set_timeout(timedelta(seconds=2))
with self.assertRaises(RuntimeError):
fs.get("key")
fs.delete_key("key0")
fs.delete_key("key3")
self.assertEqual(fs.num_keys(), 2)
fs.set("key4", "value2")
self.assertEqual(fs.num_keys(), 3)
self.assertEqual(b"value1", fs.get("key1"))
self.assertEqual(b"value2", fs.get("key4"))
def test_numkeys_delkeys(self):
self._test_numkeys_delkeys(self._create_store())
def _create_client(self, index, addr, port, world_size):
client_store = dist.TCPStore(addr, port, world_size=world_size, timeout=timedelta(seconds=10))
self.assertEqual("value".encode(), client_store.get("key"))
client_store.set(f"new_key{index}", f"new_value{index}")
self.assertEqual(f"next_value{index}".encode(),
client_store.compare_set(f"new_key{index}", f"new_value{index}", f"next_value{index}"))
def _multi_worker_helper(self, world_size):
addr = DEFAULT_HOSTNAME
server_store = create_tcp_store(addr, world_size, wait_for_workers=False)
server_store.set("key", "value")
port = server_store.port
num_indices = world_size if world_size else 1
for i in range(num_indices):
self._create_client(i, addr, port, world_size)
def test_multi_worker_with_fixed_world_size(self):
self._multi_worker_helper(5)
def test_multi_worker_with_nonfixed_world_size(self):
self._multi_worker_helper(None)
class PrefixTCPStoreTest(TestCase, StoreTestBase):
def setUp(self):
super(PrefixTCPStoreTest, self).setUp()
self.tcpstore = create_tcp_store()
self.prefix = "test_prefix"
self.tcpstore.set_timeout(timedelta(seconds=300))
def _create_store(self):
return dist.PrefixStore(self.prefix, self.tcpstore)
# The PrefixTCPStore has 6 keys in test_set_get. It contains the 5 keys
# added by the user and one additional key used for coordinate all the
# workers.
@property
def num_keys_total(self):
return 6
class MyPythonStore(dist.Store):
def __init__(self):
super(MyPythonStore, self).__init__()
self.store = {}
def set(self, key, value):
if not isinstance(key, string_classes):
raise AssertionError("Expected set to be called with string key")
if type(value) is not bytes:
raise AssertionError("Expected set to be called with bytes value")
self.store[key] = value
def get(self, key):
value = self.store.get(key, b"")
if type(value) is not bytes:
raise AssertionError("Expected get to return bytes value")
return value
def add(self, key, value):
new = int(self.store.get(key, 0)) + value
self.set(key, bytes(str(new).encode("utf-8")))
return new
class PythonStoreTest(TestCase):
def setUp(self):
super(PythonStoreTest, self).setUp()
def test_set_get(self):
# If we were to inherit from StoreTestBase and try to use
# its test_set_get function, we would exercise the Python
# API directly, instead of going through the C++ trampoline.
# We care about testing the C++ trampoline, so run the
# equivalent of StoreTestBase.test_set_get from C++.
# See `torch/csrc/distributed/c10d/init.cpp` for the definition
# of this test function.
dist._test_python_store(MyPythonStore())
class RendezvousTest(TestCase):
def test_unknown_handler(self):
with self.assertRaisesRegex(RuntimeError, "^No rendezvous handler"):
dist.rendezvous("invalid://")
def test_url_with_node_params(self):
with self.assertRaisesRegex(AssertionError, "has node-specific arguments"):
dist.rendezvous("file://foo?rank=12&world_size=16", 12, 16)
class RendezvousEnvTest(TestCase):
@retry_on_connect_failures
def test_nominal(self):
os.environ["WORLD_SIZE"] = "1"
os.environ["MASTER_ADDR"] = "127.0.0.1"
os.environ["MASTER_PORT"] = str(common.find_free_port())
# Single rank
os.environ["RANK"] = "0"
gen0 = dist.rendezvous("env://")
store0, rank0, size0 = next(gen0)
self.assertEqual(0, rank0)
self.assertEqual(1, size0)
store0.set("key0", "value0")
# check with get
self.assertEqual(b"value0", store0.get("key0"))
class RendezvousFileTest(TestCase):
def test_common_errors(self):
with self.assertRaisesRegex(ValueError, "path missing"):
gen = dist.rendezvous("file://?rank=0&world_size=1")
next(gen)
with self.assertRaisesRegex(ValueError, "rank parameter missing"):
gen = dist.rendezvous("file:///tmp/foo?world_size=1")
next(gen)
with self.assertRaisesRegex(ValueError, "size parameter missing"):
gen = dist.rendezvous("file:///tmp/foo?rank=0")
next(gen)
def test_nominal(self):
with tempfile.NamedTemporaryFile(delete=False) as file:
url = f'file:///{file.name.replace(os.path.sep, "/")}?world_size=2'
gen0 = dist.rendezvous(url + "&rank=0")
store0, rank0, size0 = next(gen0)
self.assertEqual(0, rank0)
self.assertEqual(2, size0)
gen1 = dist.rendezvous(url + "&rank=1")
store1, rank1, size1 = next(gen1)
self.assertEqual(1, rank1)
self.assertEqual(2, size1)
# Set value on both stores
store0.set("key0", "value0")
store1.set("key1", "value1")
# Cross check with get
self.assertEqual(b"value0", store1.get("key0"))
self.assertEqual(b"value1", store0.get("key1"))
@skip_if_win32()
class RendezvousTCPTest(TestCase):
def create_tcp_url(self):
addr = DEFAULT_HOSTNAME
port = common.find_free_port()
url = "tcp://%s:%d?world_size=%d" % (addr, port, 1)
return url
def test_common_errors(self):
with self.assertRaisesRegex(ValueError, "port number missing"):
gen = dist.rendezvous("tcp://127.0.0.1?rank=0&world_size=1")
next(gen)
with self.assertRaisesRegex(ValueError, "rank parameter missing"):
gen = dist.rendezvous("tcp://127.0.0.1:23456?world_size=1")
next(gen)
with self.assertRaisesRegex(ValueError, "size parameter missing"):
gen = dist.rendezvous("tcp://127.0.0.1:23456?rank=0")
next(gen)
def test_dns_timeout(self):
with self.assertRaisesRegex(TimeoutError, "client socket has timed out after.*dnsnotexist"):
gen = dist.rendezvous(
"tcp://dnsnotexist:23456?world_size=2&rank=0",
timeout=timedelta(seconds=1),
)
next(gen)
@retry_on_connect_failures
def test_nominal(self):
url = self.create_tcp_url()
gen0 = dist.rendezvous(url + "&rank=0")
store0, rank0, size0 = next(gen0)
self.assertEqual(0, rank0)
self.assertEqual(1, size0)
# Set value on the single store
store0.set("key0", "value0")
# check with get
self.assertEqual(b"value0", store0.get("key0"))
@retry_on_connect_failures(connect_errors=(CONNECT_TIMEOUT, ADDRESS_IN_USE))
def test_tcp_store_timeout_set(self):
url = self.create_tcp_url()
test_store_timeout = timedelta(seconds=10)
gen0 = dist.rendezvous(url + "&rank=0", timeout=test_store_timeout)
store0, rank0, size0 = next(gen0)
# this should time out in 10s. If the timeout passed into rendezvous was
# not respected, it will take much longer to timeout.
start = time.time()
with self.assertRaisesRegex(RuntimeError, "Timeout"):
store0.get("nonexistant key")
end = time.time()
time_diff = end - start
self.assertGreater(test_store_timeout.seconds * 10, time_diff)
if __name__ == "__main__":
assert (
not torch.cuda._initialized
), "test_distributed must not have initialized CUDA context on main process"
run_tests()
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