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Slightly faster lora applying.
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e134547341
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@ -550,12 +550,12 @@ def cast_to_device(tensor, device, dtype, copy=False):
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if device_supports_cast:
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if device_supports_cast:
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if copy:
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if copy:
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if tensor.device == device:
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if tensor.device == device:
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return tensor.to(dtype, copy=copy)
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return tensor.to(dtype, copy=copy, non_blocking=True)
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return tensor.to(device, copy=copy).to(dtype)
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return tensor.to(device, copy=copy, non_blocking=True).to(dtype, non_blocking=True)
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else:
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else:
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return tensor.to(device).to(dtype)
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return tensor.to(device, non_blocking=True).to(dtype, non_blocking=True)
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else:
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else:
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return tensor.to(dtype).to(device, copy=copy)
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return tensor.to(device, dtype, copy=copy, non_blocking=True)
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def xformers_enabled():
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def xformers_enabled():
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global directml_enabled
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global directml_enabled
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