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Remove check of device consistency for balanced_low_0. #2591

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Remove check of device consistency for balanced_low_0. #2591

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10 changes: 0 additions & 10 deletions src/accelerate/accelerator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1368,16 +1368,6 @@ def prepare_model(self, model: torch.nn.Module, device_placement: bool = None, e
" In order to use 8-bit models that have been loaded across multiple GPUs the solution is to use Naive Pipeline Parallelism."
" Therefore you should not specify that you are under any distributed regime in your accelerate config."
)
current_device = list(model_devices)[0]
current_device_index = current_device.index if isinstance(current_device, torch.device) else current_device

if torch.device(current_device_index) != self.device:
# if on the first device (GPU 0) we don't care
if (self.device.index is not None) or (current_device_index != 0):
raise ValueError(
"You can't train a model that has been loaded in 8-bit precision on a different device than the one "
"you're training on. Make sure you loaded the model on the correct device using for example `device_map={'':torch.cuda.current_device() or device_map={'':torch.xpu.current_device()}"
)

if "cpu" in model_devices or "disk" in model_devices:
raise ValueError(
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