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Check for torch.xpu.is_available()
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@ -151,8 +151,15 @@ def huggingface_loader(model_name):
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# Load with quantization and/or offloading
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# Load with quantization and/or offloading
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else:
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else:
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if not any((shared.args.cpu, torch.cuda.is_available(), torch.backends.mps.is_available())):
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conditions = [
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logger.warning('torch.cuda.is_available() returned False. This means that no GPU has been detected. Falling back to CPU mode.')
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shared.args.cpu,
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torch.cuda.is_available(),
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torch.backends.mps.is_available(),
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hasattr(torch, 'xpu') and torch.xpu.is_available(),
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]
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if not any(conditions):
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logger.warning('No GPU has been detected by Pytorch. Falling back to CPU mode.')
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shared.args.cpu = True
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shared.args.cpu = True
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if shared.args.cpu:
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if shared.args.cpu:
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