这个要如何解决

[zfuling]

Input device: 1:耳机 (Redmi Buds 6S) (MME) Output device: 15:Voicemeeter Input (VB-Audio Voi (MME) cuda_is_available: True Traceback (most recent call last): File "E:\RVC1006Nvidia\RVC1006Nvidia\tools\rvc_for_realtime.py", line 106, in init hubert_model = hubert_model.half() File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 1001, in half return self._apply(lambda t: t.half() if t.is_floating_point() else t) File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply module._apply(fn) File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply module._apply(fn) File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply module._apply(fn) [Previous line repeated 1 more time] File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply param_applied = fn(param) File "E:\RVC1006Nvidia\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 1001, in return self._apply(lambda t: t.half() if t.is_floating_point() else t) RuntimeError: CUDA error: no kernel image is available for execution on the device CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.