Model Crashes When Starting the Separation

[ZeeroDevo]

I use a Shadow Cloud PC that's an RTX A4500 20GB VRAM and I want to use this model to create my dataset for RVC but for unknown reasons it crashes when I start separation. It seems like #4 has the same situation too so I suspect it doesn't use my GPU but here are the error codes that displayed on CMD.

I also wanna ask how do we apply the arguments like --large_gpu?

edit: I actually decided to read it and it seems it doesnt connect because it's unable to get local issuer certificate. I tried fixed on YT and none worked

CMD LOG:

`C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip>"./Miniconda/python.exe" gui.py GPU use: 0 Use low GPU memory version of code Use device: cuda:0 Go for: C:/Users/Shadow/Downloads/Music/Golden Hour - JVKE ｜ Song Cover by SuRge.wav Input audio: (2, 9257472) Sample rate: 44100 Traceback (most recent call last): File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 1348, in do_open h.request(req.get_method(), req.selector, req.data, headers, File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 1282, in request self._send_request(method, url, body, headers, encode_chunked) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 1328, in _send_request self.endheaders(body, encode_chunked=encode_chunked) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 1277, in endheaders self._send_output(message_body, encode_chunked=encode_chunked) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 1037, in _send_output self.send(msg) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 975, in send self.connect() File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\http\client.py", line 1454, in connect self.sock = self._context.wrap_socket(self.sock, File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\ssl.py", line 513, in wrap_socket return self.sslsocket_class._create( File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\ssl.py", line 1071, in _create self.do_handshake() File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\ssl.py", line 1342, in do_handshake self._sslobj.do_handshake() ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:997)

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\gui.py", line 36, in run predict_with_model(self.options) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\inference.py", line 804, in predict_with_model result, sample_rates = model.separate_music_file(audio.T, sr, update_percent_func, i, len(options['input_audio'])) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\inference.py", line 554, in separate_music_file torch.hub.download_url_to_file(remote_url, model_folder + '04573f0d-f3cf25b2.th') File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\site-packages\torch\hub.py", line 611, in download_url_to_file u = urlopen(req) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 216, in urlopen return opener.open(url, data, timeout) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 519, in open response = self._open(req, data) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 536, in _open result = self._call_chain(self.handle_open, protocol, protocol + File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 496, in _call_chain result = func(*args) File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 1391, in https_open return self.do_open(http.client.HTTPSConnection, req, File "C:\Users\Shadow\Downloads\MDX23\MVSep-MDX23.zip\Miniconda\lib\urllib\request.py", line 1351, in do_open raise URLError(err) urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:997)>`

[ZFTurbo]

The problem is actually not with model but with downloading Neural Net weights from internet.

[ZFTurbo]

May be this will help: https://stackoverflow.com/questions/52805115/certificate-verify-failed-unable-to-get-local-issuer-certificate