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[booster] make optimizer argument optional for boost (#3993)

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* feat: make optimizer optional in Booster.boost

* test: skip unet test if diffusers version > 0.10.2
This commit is contained in:
Wenhao Chen
2023-06-15 17:38:42 +08:00
committed by GitHub
parent c9cff7e7fa
commit 725af3eeeb
9 changed files with 70 additions and 50 deletions
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13
colossalai/booster/plugin/torch_ddp_plugin.py
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@@ -138,11 +138,11 @@ class TorchDDPPlugin(DPPluginBase):
def configure(
self,
model: nn.Module,
optimizer: Optimizer,
criterion: Callable = None,
dataloader: DataLoader = None,
lr_scheduler: LRScheduler = None,
) -> Tuple[Union[nn.Module, OptimizerWrapper, LRScheduler, DataLoader]]:
optimizer: Optional[Optimizer] = None,
criterion: Optional[Callable] = None,
dataloader: Optional[DataLoader] = None,
lr_scheduler: Optional[LRScheduler] = None,
) -> Tuple[nn.Module, OptimizerWrapper, Callable, DataLoader, LRScheduler]:
# cast model to cuda
model = model.cuda()
@@ -152,7 +152,8 @@ class TorchDDPPlugin(DPPluginBase):
# wrap the model with PyTorch DDP
model = TorchDDPModel(model, **self.ddp_kwargs)
if not isinstance(optimizer, OptimizerWrapper):
if optimizer is not None and \
not isinstance(optimizer, OptimizerWrapper):
optimizer = OptimizerWrapper(optimizer)
return model, optimizer, criterion, dataloader, lr_scheduler