[zero]fix zero ckptIO with offload (#4529)

* fix zero ckptio with offload

* fix load device

* saved tensors in ckpt should be on CPU

* fix unit test

* fix unit test

* add clear cache

* save memory for CI
This commit is contained in:
LuGY
2023-09-01 17:41:19 +08:00
committed by GitHub
parent c7b60f7547
commit cbac782254
3 changed files with 22 additions and 16 deletions

View File

@@ -16,19 +16,21 @@ from colossalai.testing import (
)
# stage 1 and 2 process the optimizer/mode the same way
# only test 2 is fine
@clear_cache_before_run()
@parameterize('stage', [2])
@parameterize('shard', [True, False])
def check_low_level_zero_checkpointIO(stage: int, shard: bool):
plugin = LowLevelZeroPlugin(stage=stage, max_norm=1.0, initial_scale=32)
@parameterize('offload', [False, True])
def check_low_level_zero_checkpointIO(stage: int, shard: bool, offload: bool):
plugin = LowLevelZeroPlugin(stage=stage, max_norm=1.0, initial_scale=32, cpu_offload=offload)
booster = Booster(plugin=plugin)
model = resnet18()
criterion = lambda x: x.mean()
optimizer = HybridAdam((model.parameters()), lr=0.001)
model, optimizer, criterion, _, _ = booster.boost(model, optimizer, criterion)
x = torch.randn(4, 3, 224, 224)
x = x.to('cuda')
x = torch.randn(1, 3, 224, 224, device='cuda')
output = model(x)
loss = criterion(output)
booster.backward(loss, optimizer)
@@ -50,15 +52,17 @@ def check_low_level_zero_checkpointIO(stage: int, shard: bool):
check_state_dict_equal(model.state_dict(), new_model.state_dict(), False)
booster.load_optimizer(new_optimizer, optimizer_ckpt_path)
check_state_dict_equal(optimizer.state_dict(), new_optimizer.state_dict(), False)
check_state_dict_equal(optimizer.optim.state_dict(), new_optimizer.optim.state_dict(), False)
def run_dist(rank, world_size, port):
colossalai.launch(config=(dict()), rank=rank, world_size=world_size, port=port, host='localhost')
check_low_level_zero_checkpointIO()
torch.cuda.empty_cache()
@rerun_if_address_is_in_use()
@clear_cache_before_run()
def test_low_level_zero_checkpointIO():
spawn(run_dist, 2)

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@@ -37,7 +37,7 @@ def loose_close(a, b, dtype: torch.dtype = torch.float32):
atol = 4e-3
a = a.detach().to(dtype)
b = b.detach().to(dtype)
b = b.detach().to(dtype).to(a.device)
assert_close(a, b, rtol=rtol, atol=atol)