Segmentation fault (core dumped)

[Ryoo72]

The following error occurs.
I am using Ubuntu 22.04, and I utilized the provided conda environment.

Loaded checkpoint 'checkpoints_v2/converter/checkpoint.pth'
missing/unexpected keys: [] []
OpenVoice version: v2
Segmentation fault (core dumped)

[NguyenGPhuc]

Same problem with version 2. I get pass that part but runs into another problem. (idk how to put in code segment)

****\env\lib\site-packages\torch\nn\modules\conv.py:456: UserWarning: Plan failed with a cudnnException: CUDNN_BACKEND_EXECUTION_PLAN_DESCRIPTOR: cudnnFinalize Descriptor Failed cudnn_status: CUDNN_STATUS_NOT_SUPPORTED (Triggered internally at ..\aten\src\ATen\native\cudnn\Conv_v8.cpp:919.)
return F.conv2d(input, weight, bias, self.stride,
Hello

0%| | 0/1 [00:00<?, ?it/s]Some weights of the model checkpoint at bert-base-uncased were not used when initializing BertForMaskedLM: ['bert.pooler.dense.bias', 'bert.pooler.dense.weight', 'cls.seq_relationship.bias', 'cls.seq_relationship.weight']

• This IS expected if you are initializing BertForMaskedLM from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing BertForMaskedLM from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
  0%| | 0/1 [00:01<?, ?it/s]
  Error during audio generation: too many dimensions 'str'

[lazzarello]

I had to add a bunch of CUDA shared libraries to my laptop's search path. No idea why this didn't happen automatically like it does for every other project. I'll probably have to debug this for real eventually.

I'm using python through pyenv with the venv module for a virtual environment.

(.venv) lee@suzanne:~/src/OpenVoice$ echo $LD_LIBRARY_PATH 
/home/lee/src/OpenVoice/.venv/lib/python3.10/site-packages/nvidia/cublas/lib:/home/lee/src/OpenVoice/.venv/lib/python3.10/site-packages/nvidia/cudnn/lib:/home/lee/.pyenv/versions/3.10.13/lib/python3.10/site-packages/nvidia/cublas/lib/