Traceback (most recent call last):
File "C:\Users\calvinap\miniconda3\lib\runpy.py", line 188, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "C:\Users\calvinap\miniconda3\lib\runpy.py", line 111, in _get_module_details
import(pkg_name)
File "C:\Users\calvinap\whisper-diarization\diarize.py", line 118, in
msdd_model.diarize()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 1180, in diarize
self.clustering_embedding.prepare_cluster_embs_infer()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 699, in prepare_cluster_embs_infer
self.emb_sess_test_dict, self.emb_seq_test, self.clus_test_labeldict, = self.run_clustering_diarizer(
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 866, in run_clustering_diarizer
scores = self.clus_diar_model.diarize(batch_size=self.cfg_diar_infer.batch_size)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 437, in diarize
self._perform_speech_activity_detection()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 325, in _perform_speech_activity_detection
self._run_vad(manifest_vad_input)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 218, in _run_vad
for i, test_batch in enumerate(
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\tqdm\std.py", line 1178, in iter
for obj in iterable:
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 441, in iter
return self._get_iterator()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 1042, in init
w.start()
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <class 'nemo.collections.common.parts.preprocessing.collections.SpeechLabelEntity'>: attribute lookup SpeechLabelEntity on nemo.collections.common.parts.preprocessing.collections failed
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
Windows 11 GPU, cuda12.2
Traceback (most recent call last): File "C:\Users\calvinap\miniconda3\lib\runpy.py", line 188, in _run_module_as_main mod_name, mod_spec, code = _get_module_details(mod_name, _Error) File "C:\Users\calvinap\miniconda3\lib\runpy.py", line 111, in _get_module_details import(pkg_name) File "C:\Users\calvinap\whisper-diarization\diarize.py", line 118, in
msdd_model.diarize()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 1180, in diarize
self.clustering_embedding.prepare_cluster_embs_infer()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 699, in prepare_cluster_embs_infer
self.emb_sess_test_dict, self.emb_seq_test, self.clus_test_labeldict, = self.run_clustering_diarizer(
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\msdd_models.py", line 866, in run_clustering_diarizer
scores = self.clus_diar_model.diarize(batch_size=self.cfg_diar_infer.batch_size)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 437, in diarize
self._perform_speech_activity_detection()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 325, in _perform_speech_activity_detection
self._run_vad(manifest_vad_input)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\nemo\collections\asr\models\clustering_diarizer.py", line 218, in _run_vad
for i, test_batch in enumerate(
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\tqdm\std.py", line 1178, in iter
for obj in iterable:
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 441, in iter
return self._get_iterator()
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 388, in _get_iterator
return _MultiProcessingDataLoaderIter(self)
File "C:\Users\calvinap\whisper-diarization\env\lib\site-packages\torch\utils\data\dataloader.py", line 1042, in init
w.start()
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\process.py", line 121, in start
self._popen = self._Popen(self)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\context.py", line 224, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\context.py", line 327, in _Popen
return Popen(process_obj)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\popen_spawn_win32.py", line 93, in init
reduction.dump(process_obj, to_child)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\reduction.py", line 60, in dump
ForkingPickler(file, protocol).dump(obj)
_pickle.PicklingError: Can't pickle <class 'nemo.collections.common.parts.preprocessing.collections.SpeechLabelEntity'>: attribute lookup SpeechLabelEntity on nemo.collections.common.parts.preprocessing.collections failed
Traceback (most recent call last):
File "", line 1, in
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "C:\Users\calvinap\miniconda3\lib\multiprocessing\spawn.py", line 126, in _main
self = reduction.pickle.load(from_parent)
EOFError: Ran out of input