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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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8
colossalai/booster/mixed_precision/fp16_torch.py
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@@ -115,10 +115,12 @@ class FP16TorchMixedPrecision(MixedPrecision):
def configure(self,
model: nn.Module,
optimizer: Optimizer,
criterion: Callable = None) -> Tuple[nn.Module, OptimizerWrapper, Callable]:
optimizer: Optional[Optimizer] = None,
criterion: Optional[Callable] = None,
) -> Tuple[nn.Module, OptimizerWrapper, Callable]:
model = TorchAMPModule(model)
optimizer = TorchAMPOptimizer(optimizer, **self.torch_amp_kwargs)
if optimizer is not None:
optimizer = TorchAMPOptimizer(optimizer, **self.torch_amp_kwargs)
if criterion is not None:
criterion = TorchAMPModule(criterion)
return model, optimizer, criterion