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25 lines
626 B
Python
25 lines
626 B
Python
import gc
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import torch
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from accelerate.utils import is_npu_available, is_xpu_available
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from modules import shared
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def get_device():
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return getattr(shared.model, 'device', None)
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def clear_torch_cache():
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gc.collect()
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if not shared.args.cpu:
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if torch.cuda.is_available():
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torch.cuda.empty_cache()
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elif is_xpu_available():
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torch.xpu.empty_cache()
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elif is_npu_available():
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torch.npu.empty_cache()
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elif torch.backends.mps.is_available():
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if hasattr(torch.backends.mps, 'empty_cache'):
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torch.backends.mps.empty_cache()
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