mirror of https://github.com/hpcaitech/ColossalAI
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
64 lines
2.1 KiB
64 lines
2.1 KiB
2 years ago
|
from functools import partial
|
||
|
|
|
||
|
|
import colossalai
|
||
|
|
import pytest
|
||
|
|
import torch
|
||
|
|
import torch.multiprocessing as mp
|
||
|
|
import torch.distributed as dist
|
||
|
|
from colossalai.testing import parameterize
|
||
|
|
from colossalai.utils import free_port
|
||
|
|
from colossalai.context import MOE_CONTEXT
|
||
|
|
from colossalai.tensor import ColoParameter
|
||
|
|
from colossalai.utils.model.colo_init_context import ColoInitContext
|
||
|
|
|
||
|
|
from colossalai.testing import rerun_if_address_is_in_use
|
||
|
|
from colossalai.utils import get_current_device
|
||
|
|
|
||
|
|
from tests.test_zero.common import CONFIG
|
||
|
|
from tests.test_moe.test_moe_zero_init import MoeModel
|
||
|
|
from tests.test_tensor.common_utils import debug_print
|
||
|
|
|
||
|
|
|
||
|
|
@parameterize("init_device_type", ['cpu', 'cuda'])
|
||
|
|
def exam_moe_colo_init(init_device_type):
|
||
|
|
world_size = dist.get_world_size()
|
||
|
|
|
||
|
|
if init_device_type == 'cuda':
|
||
|
|
init_device = get_current_device()
|
||
|
|
elif init_device_type == 'cpu':
|
||
|
|
init_device = torch.device("cpu")
|
||
|
|
else:
|
||
|
|
raise NotImplementedError("Unknown device found.")
|
||
|
|
|
||
|
|
with ColoInitContext(device=init_device):
|
||
|
|
model = MoeModel(checkpoint=True)
|
||
|
|
|
||
|
|
for name, param in model.named_parameters():
|
||
|
|
assert isinstance(param, ColoParameter), "parameter `{}` has an init problem".format(name)
|
||
|
|
|
||
|
|
if hasattr(param, "moe_info"):
|
||
|
|
param.set_process_group(param.moe_info.pg)
|
||
|
|
|
||
|
|
if hasattr(param, "moe_info"):
|
||
|
|
assert param.process_group.dp_world_size() == param.moe_info.dp_size
|
||
|
|
else:
|
||
|
|
assert param.process_group.dp_world_size() == world_size
|
||
|
|
|
||
|
|
|
||
|
|
def _run_dist(rank, world_size, port):
|
||
|
|
colossalai.launch(config=CONFIG, rank=rank, world_size=world_size, host='localhost', port=port, backend='nccl')
|
||
|
|
MOE_CONTEXT.setup(seed=42)
|
||
|
|
exam_moe_colo_init()
|
||
|
|
|
||
|
|
|
||
|
|
@pytest.mark.dist
|
||
|
|
@pytest.mark.parametrize("world_size", [4])
|
||
|
|
@rerun_if_address_is_in_use()
|
||
|
|
def test_moe_colo_init(world_size):
|
||
|
|
run_func = partial(_run_dist, world_size=world_size, port=free_port())
|
||
|
|
mp.spawn(run_func, nprocs=world_size)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == '__main__':
|
||
|
|
test_moe_colo_init(world_size=4)
|