warnings.warn("torch.nn.utils.weight_norm is deprecated in favor of torch.nn.utils.parametrizations.weight_norm.")
Downloading: "https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th" to /root/.cache/torch/hub/checkpoints/encodec_24khz-d7cc33bc.th
Traceback (most recent call last):
File "/usr/lib/python3.10/urllib/request.py", line 1348, in do_open
h.request(req.get_method(), req.selector, req.data, headers,
File "/usr/lib/python3.10/http/client.py", line 1283, in request
self._send_request(method, url, body, headers, encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1329, in _send_request
self.endheaders(body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1278, in endheaders
self._send_output(message_body, encode_chunked=encode_chunked)
File "/usr/lib/python3.10/http/client.py", line 1038, in _send_output
self.send(msg)
File "/usr/lib/python3.10/http/client.py", line 976, in send
self.connect()
File "/usr/lib/python3.10/http/client.py", line 1448, in connect
super().connect()
File "/usr/lib/python3.10/http/client.py", line 942, in connect
self.sock = self._create_connection(
File "/usr/lib/python3.10/socket.py", line 824, in create_connection
for res in getaddrinfo(host, port, 0, SOCK_STREAM):
File "/usr/lib/python3.10/socket.py", line 955, in getaddrinfo
for res in _socket.getaddrinfo(host, port, family, type, proto, flags):
socket.gaierror: [Errno -3] Temporary failure in name resolution
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/tts/VALL-E-X-master/launch-ui.py", line 105, in <module>
audio_tokenizer = AudioTokenizer(device)
File "/tts/VALL-E-X-master/data/tokenizer.py", line 71, in __init__
model = EncodecModel.encodec_model_24khz()
File "/usr/local/lib/python3.10/dist-packages/encodec/model.py", line 279, in encodec_model_24khz
state_dict = EncodecModel._get_pretrained(checkpoint_name, repository)
File "/usr/local/lib/python3.10/dist-packages/encodec/model.py", line 262, in _get_pretrained
return torch.hub.load_state_dict_from_url(url, map_location='cpu', check_hash=True) # type:ignore
File "/usr/local/lib/python3.10/dist-packages/torch/hub.py", line 766, in load_state_dict_from_url
download_url_to_file(url, cached_file, hash_prefix, progress=progress)
File "/usr/local/lib/python3.10/dist-packages/torch/hub.py", line 620, in download_url_to_file
u = urlopen(req)
File "/usr/lib/python3.10/urllib/request.py", line 216, in urlopen
return opener.open(url, data, timeout)
File "/usr/lib/python3.10/urllib/request.py", line 519, in open
response = self._open(req, data)
File "/usr/lib/python3.10/urllib/request.py", line 536, in _open
result = self._call_chain(self.handle_open, protocol, protocol +
File "/usr/lib/python3.10/urllib/request.py", line 496, in _call_chain
result = func(*args)
File "/usr/lib/python3.10/urllib/request.py", line 1391, in https_open
return self.do_open(http.client.HTTPSConnection, req,
File "/usr/lib/python3.10/urllib/request.py", line 1351, in do_open
raise URLError(err)
look at
Downloading: "https://dl.fbaipublicfiles.com/encodec/v0/encodec_24khz-d7cc33bc.th" to /root/.cache/torch/hub/checkpoints/encodec_24khz-d7cc33bc.th
Download the model and copy it to ~/.cache/torch/hub/checkpoints/.
look at
Download the model and copy it to ~/.cache/torch/hub/checkpoints/.