File ~\Documents\GitHub\bark-with-voice-clone\rvc_infer.py:114
112 sys.path.append(os.path.join(now_dir,"Retrieval-based-Voice-Conversion-WebUI"))
113 from vc_infer_pipeline import VC
--> 114 from infer.lib.infer_pack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid_nono, SynthesizerTrnMs768NSFsid, SynthesizerTrnMs768NSFsid_nono
115 from fairseq import checkpoint_utils
116 from scipy.io import wavfile
File ~\Documents\GitHub\bark-with-voice-clone\Retrieval-based-Voice-Conversion-WebUI\infer.py:10
8 from infer_pack.models import SynthesizerTrnMs256NSF as SynthesizerTrn256
9 from scipy.io import wavfile
---> 10 from fairseq import checkpoint_utils
11 import scipy.signal as signal
12 from vc_infer_pipeline import VC
dagshub[bot]
commented
10 months ago
I'm getting this error when using the test_models.ipynb with use_rvc set to True
`TypeError Traceback (most recent call last) Cell In[7], line 17 1 preload_models( 2 text_use_gpu=True, 3 text_use_small=False, (...) 13 path="models" 14 ) 16 if use_rvc: ---> 17 from rvc_infer import get_vc, vc_single 18 get_vc(rvc_path, device, is_half)
File ~\Documents\GitHub\bark-with-voice-clone\rvc_infer.py:114 112 sys.path.append(os.path.join(now_dir,"Retrieval-based-Voice-Conversion-WebUI")) 113 from vc_infer_pipeline import VC --> 114 from infer.lib.infer_pack.models import SynthesizerTrnMs256NSFsid, SynthesizerTrnMs256NSFsid_nono, SynthesizerTrnMs768NSFsid, SynthesizerTrnMs768NSFsid_nono 115 from fairseq import checkpoint_utils 116 from scipy.io import wavfile
File ~\Documents\GitHub\bark-with-voice-clone\Retrieval-based-Voice-Conversion-WebUI\infer.py:10 8 from infer_pack.models import SynthesizerTrnMs256NSF as SynthesizerTrn256 9 from scipy.io import wavfile ---> 10 from fairseq import checkpoint_utils 11 import scipy.signal as signal 12 from vc_infer_pipeline import VC
File ~\AppData\Local\anaconda3\envs\bark\lib\site-packages\fairseq__init__.py:40 38 import fairseq.optim.lr_scheduler # noqa 39 import fairseq.pdb # noqa ---> 40 import fairseq.scoring # noqa 41 import fairseq.tasks # noqa 42 import fairseq.token_generation_constraints # noqa
File ~\AppData\Local\anaconda3\envs\bark\lib\site-packages\fairseq\scoring__init__.py:34 29 @abstractmethod 30 def result_string(self) -> str: 31 pass ---> 34 _build_scorer, register_scorer, SCORERREGISTRY, = registry.setup_registry( 35 "--scoring", default="bleu" 36 ) 39 def build_scorer(choice, tgt_dict): 40 _choice = choice._name if isinstance(choice, DictConfig) else choice
TypeError: cannot unpack non-iterable NoneType object`