1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
|
# Owner(s): ["oncall: distributed"]
import sys
import tempfile
import torch
from torch import distributed as dist
from torch.distributed._shard.checkpoint import (
FileSystemReader,
FileSystemWriter,
save_state_dict,
load_state_dict,
)
from torch.distributed.fsdp import (
FullyShardedDataParallel as FSDP,
StateDictType,
)
from torch.distributed.fsdp.fully_sharded_data_parallel import FullyShardedDataParallel
from torch.distributed.fsdp.wrap import enable_wrap, wrap
from torch.testing._internal.common_distributed import skip_if_lt_x_gpu
from torch.testing._internal.common_fsdp import (
FSDPTest,
SkipModel,
)
from torch.testing._internal.common_utils import (
instantiate_parametrized_tests,
parametrize,
run_tests,
TEST_WITH_DEV_DBG_ASAN,
)
if not dist.is_available():
print("Distributed not available, skipping tests", file=sys.stderr)
sys.exit(0)
if TEST_WITH_DEV_DBG_ASAN:
print(
"Skip dev-asan as torch + multiprocessing spawn have known issues",
file=sys.stderr,
)
sys.exit(0)
_DISTRIBUTED_STATE_DICT_IMPLS = {
StateDictType.LOCAL_STATE_DICT,
StateDictType.SHARDED_STATE_DICT,
}
class TestDistributedCheckpoint(FSDPTest):
@property
def world_size(self):
return 2
@skip_if_lt_x_gpu(2)
@parametrize("state_dict_type", _DISTRIBUTED_STATE_DICT_IMPLS)
def test_distributed_checkpoint(self, state_dict_type) -> None:
with enable_wrap(wrapper_cls=FSDP):
torch.manual_seed(100)
model = wrap(SkipModel(double_nest=True))
torch.manual_seed(200)
new_model = wrap(SkipModel(double_nest=True))
with FullyShardedDataParallel.summon_full_params(
model
), FullyShardedDataParallel.summon_full_params(new_model):
params = list(model.parameters())
new_params = list(new_model.parameters())
self.assertNotEqual(params, new_params)
with tempfile.TemporaryDirectory() as path:
paths = [path]
dist.broadcast_object_list(paths)
path = paths[0]
writer = FileSystemWriter(path)
reader = FileSystemReader(path)
with FSDP.state_dict_type(
model, state_dict_type
), FSDP.state_dict_type(new_model, state_dict_type):
state_dict = model.state_dict()
save_state_dict(state_dict, writer)
with FSDP.state_dict_type(
model, state_dict_type
), FSDP.state_dict_type(new_model, state_dict_type):
state_dict = new_model.state_dict()
load_state_dict(state_dict, reader)
new_model.load_state_dict(state_dict)
with FullyShardedDataParallel.summon_full_params(
model
), FullyShardedDataParallel.summon_full_params(new_model):
params = list(model.parameters())
new_params = list(new_model.parameters())
self.assertEqual(params, new_params)
# TODO: add resharding test case.
instantiate_parametrized_tests(TestDistributedCheckpoint)
if __name__ == "__main__":
run_tests()
|
