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Update model_management.py
fallback to cpu if nvidia is not available
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@ -203,8 +203,10 @@ def get_torch_device():
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return torch.device("npu", torch.npu.current_device())
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elif is_mlu():
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return torch.device("mlu", torch.mlu.current_device())
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else:
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elif torch.cuda.is_available():
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return torch.device(torch.cuda.current_device())
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else:
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return torch.device("cpu")
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def get_total_memory(dev=None, torch_total_too=False):
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global directml_enabled
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