Traceback (most recent call last):


 "pyannote1.py", line 31, in <module>

diarization = pipeline(OWN_FILE)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/pipeline/speaker_diarization.py", line 154, in __call__

speech_turns = self.speech_turn_segmentation(current_file)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/pipeline/speech_turn_segmentation.py", line 123, in __call__

sad = self.speech_activity_detection(current_file).get_timeline()


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/pipeline/speech_activity_detection.py", line 139, in __call__

sad_scores = self._scores(current_file)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/features/wrapper.py", line 280, in __call__

return self.scorer_(current_file)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/features/base.py", line 152, in __call__

features = self.get_features(y.data, sample_rate)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/features/pretrained.py", line 232, in get_features

progress_hook=self.progress_hook,


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/train/model.py", line 468, in slide

tfX = self(tX, return_intermediate=return_intermediate)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/models/models.py", line 540, in forward

output = self.sincnet_(waveforms)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/models/sincnet.py", line 424, in forward

output = conv1d(output)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/torch/nn/modules/module.py", line 541, in __call__

result = self.forward(*input, **kwargs)


 "/home/serene/anaconda3/envs/myenv/lib/python3.7/site-packages/pyannote/audio/models/sincnet.py", line 212, in forward

groups=1,
RuntimeError: NNPACK SpatialConvolution_updateOutput failed

Traceback (most recent call last):


 "D:\Polis\Sign\web-server\venv\lib\site-packages\werkzeug\serving.py", line 270, in run_wsgi

execute(self.server.app)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\werkzeug\serving.py", line 258, in execute

application_iter = app(environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\flask\app.py", line 2309, in __call__

return self.wsgi_app(environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\flask_socketio\__init__.py", line 44, in __call__

start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\engineio\middleware.py", line 59, in __call__

return self.engineio_app.handle_request(environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\socketio\server.py", line 428, in handle_request

return self.eio.handle_request(environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\engineio\server.py", line 340, in handle_request

environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\engineio\socket.py", line 106, in handle_get_request

start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\engineio\socket.py", line 146, in _upgrade_websocket

return ws(environ, start_response)


 "D:\Polis\Sign\web-server\venv\lib\site-packages\engineio\async_drivers\eventlet.py", line 16, in __call__

raise RuntimeError('You need to use the eventlet server. '
RuntimeError: You need to use the eventlet server. See the Deployment section of the documentation for more information.
