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# Owner(s): ["oncall: distributed"]
import sys
import torch
from torch import distributed as dist
from torch.distributed.checkpoint import FileSystemReader, FileSystemWriter, load, save
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_device_type import instantiate_device_type_tests
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 (
parametrize,
run_tests,
TEST_WITH_DEV_DBG_ASAN,
)
from torch.testing._internal.distributed.checkpoint_utils import with_temp_dir
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)
@with_temp_dir
@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)
writer = FileSystemWriter(self.temp_dir)
reader = FileSystemReader(self.temp_dir)
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, 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, 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.
devices = ("cuda", "hpu")
instantiate_device_type_tests(TestDistributedCheckpoint, globals(), only_for=devices)
if __name__ == "__main__":
run_tests()
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