RVC-Project
RuntimeError: CUDA error: out of memory
just open go-realtime-gui.bat It worked fine with a rtx1650 4g
now worked with rtx1660ti 6g,like this
is_half:False, device:cuda:0
Input device: 1:麦克风 (2- USB Audio Device) (MME)
Output device: 3:扬声器 (2- USB Audio Device) (MME)
cuda_is_available: True
Traceback (most recent call last):
File "E:\AI\RVC1006Nvidia\tools\rvc_for_realtime.py", line 102, in init
hubert_model = hubert_model.to(self.device)
File "E:\AI\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 1145, in to
return self._apply(convert)
File "E:\AI\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "E:\AI\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 797, in _apply
module._apply(fn)
File "E:\AI\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:\AI\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 820, in _apply
param_applied = fn(param)
File "E:\AI\RVC1006Nvidia\runtime\lib\site-packages\torch\nn\modules\module.py", line 1143, in convert
return t.to(device, dtype if t.is_floating_point() or t.is_complex() else None, non_blocking)
RuntimeError: CUDA error: out of memory
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.
