求助 一键三连 1Ab-SSL自监督特征提取 报错

ning

F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2>runtime\python.exe webui.py
Running on local URL:  http://0.0.0.0:9874
"F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\runtime\python.exe" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
"F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\runtime\python.exe" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
Traceback (most recent call last):
  File "F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\GPT_SoVITS\prepare_datasets\2-get-hubert-wav32k.py", line 9, in <module>
Traceback (most recent call last):
  File "F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\GPT_SoVITS\prepare_datasets\2-get-hubert-wav32k.py", line 9, in <module>
    os.environ["CUDA_VISIBLE_DEVICES"]= os.environ.get("_CUDA_VISIBLE_DEVICES")
  File "os.py", line 684, in __setitem__
    os.environ["CUDA_VISIBLE_DEVICES"]= os.environ.get("_CUDA_VISIBLE_DEVICES")
  File "os.py", line 684, in __setitem__
  File "os.py", line 742, in check_str
  File "os.py", line 742, in check_str
TypeError: str expected, not NoneType
TypeError: str expected, not NoneType
"F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\runtime\python.exe" GPT_SoVITS/prepare_datasets/2-get-hubert-wav32k.py
F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\runtime\lib\site-packages\transformers\utils\generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
  _torch_pytree._register_pytree_node(
F:\BaiduNetdiskDownload\GPT-SoVITS-beta0306fix2\runtime\lib\site-packages\transformers\utils\generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
  _torch_pytree._register_pytree_node(
Some weights of the model checkpoint at GPT_SoVITS/pretrained_models/chinese-hubert-base were not used when initializing HubertModel: ['encoder.pos_conv_embed.conv.weight_v', 'encoder.pos_conv_embed.conv.weight_g']
- This IS expected if you are initializing HubertModel 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 HubertModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of HubertModel were not initialized from the model checkpoint at GPT_SoVITS/pretrained_models/chinese-hubert-base and are newly initialized: ['encoder.pos_conv_embed.conv.parametrizations.weight.original0', 'encoder.pos_conv_embed.conv.parametrizations.weight.original1']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.