RMVPE pitch

i have found out that the new pytorch not can alocate the memmory.The file is 16 min. long. When i make a inference with the updated pytorch i get the following when i use the RMVPE pitch:
2025-07-28 16:20:00 | WARNING | infer.modules.vc.modules | Traceback (most recent call last):
File "C:\RVC20240604Nvidia50x0\infer\modules\vc\modules.py", line 188, in vc_single
audio_opt = self.pipeline.pipeline(
File "C:\RVC20240604Nvidia50x0\infer\modules\vc\pipeline.py", line 354, in pipeline
pitch, pitchf = self.get_f0(
File "C:\RVC20240604Nvidia50x0\infer\modules\vc\pipeline.py", line 154, in get_f0
f0 = self.model_rmvpe.infer_from_audio(x, thred=0.03)
File "C:\RVC20240604Nvidia50x0\infer\lib\rmvpe.py", line 605, in infer_from_audio
hidden = self.mel2hidden(mel)
File "C:\RVC20240604Nvidia50x0\infer\lib\rmvpe.py", line 584, in mel2hidden
hidden = self.model(mel)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\infer\lib\rmvpe.py", line 410, in forward
x = self.fc(x)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\container.py", line 240, in forward
input = module(input)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\infer\lib\rmvpe.py", line 174, in forward
return self.gru(x)[0]
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
return forward_call(*args, **kwargs)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\torch\nn\modules\rnn.py", line 1393, in forward
result = _VF.gru(
RuntimeError: cuDNN error: CUDNN_STATUS_NOT_SUPPORTED. This error may appear if you passed in a non-contiguous input.

Traceback (most recent call last):
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\routes.py", line 321, in run_predict
output = await app.blocks.process_api(
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\blocks.py", line 1007, in process_api
data = self.postprocess_data(fn_index, result["prediction"], state)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\blocks.py", line 953, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\components.py", line 2076, in postprocess
processing_utils.audio_to_file(sample_rate, data, file.name)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\processing_utils.py", line 206, in audio_to_file
data = convert_to_16_bit_wav(data)
File "C:\RVC20240604Nvidia50x0\runtime\lib\site-packages\gradio\processing_utils.py", line 219, in convert_to_16_bit_wav
if data.dtype in [np.float64, np.float32, np.float16]:
AttributeError: 'NoneType' object has no attribute 'dtype

Start with infer/modules/vc/pipeline.py at get_f0 and infer/lib/rmvpe.py at infer_from_audio and mel2hidden. Reproduce RMVPE inference on a 16-minute file with the updated PyTorch, then determine whether the cuDNN GRU error is triggered there. Done means inference completes without the reported cuDNN error or the follow-on NoneType failure.