multiprocessing.pool.RemoteTraceback:
"""
Traceback (most recent call last):
File "/usr/lib/python3.5/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "/data/ghostvlad-speaker-original/src/utils.py", line 28, in load_data
linear_spect = lin_spectogram_from_wav(wav, hop_length, win_length, n_fft)
File "/data/ghostvlad-speaker-original/src/utils.py", line 22, in lin_spectogram_from_wav
linear = librosa.stft(wav, n_fft=n_fft, win_length=win_length, hop_length=hop_length) # linear spectrogram
File "/usr/local/lib/python3.5/dist-packages/librosa/core/spectrum.py", line 165, in stft
y = np.pad(y, int(n_fft // 2), mode=pad_mode)
File "/usr/local/lib/python3.5/dist-packages/numpy/lib/arraypad.py", line 1290, in pad
" in axis {} of `array`".format(axis))
ValueError: There aren't any elements to reflect in axis 0 of `array`
"""
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "main.py", line 196, in <module>
main()
File "main.py", line 136, in main
verbose=1)
File "/usr/local/lib/python3.5/dist-packages/keras/legacy/interfaces.py", line 91, in wrapper
return func(*args, **kwargs)
File "/usr/local/lib/python3.5/dist-packages/keras/engine/training.py", line 1418, in fit_generator
initial_epoch=initial_epoch)
File "/usr/local/lib/python3.5/dist-packages/keras/engine/training_generator.py", line 181, in fit_generator
generator_output = next(output_generator)
File "/usr/local/lib/python3.5/dist-packages/keras/utils/data_utils.py", line 601, in get
six.reraise(*sys.exc_info())
File "/usr/local/lib/python3.5/dist-packages/six.py", line 693, in reraise
raise value
File "/usr/local/lib/python3.5/dist-packages/keras/utils/data_utils.py", line 595, in get
inputs = self.queue.get(block=True).get()
File "/usr/lib/python3.5/multiprocessing/pool.py", line 608, in get
raise self._value
File "/usr/lib/python3.5/multiprocessing/pool.py", line 119, in worker
result = (True, func(*args, **kwds))
File "/usr/local/lib/python3.5/dist-packages/keras/utils/data_utils.py", line 401, in get_index
return _SHARED_SEQUENCES[uid][i]
File "/data/ghostvlad-speaker-original/src/generator.py", line 42, in __getitem__
X, y = self.__data_generation_mp(list_IDs_temp, indexes)
File "/data/ghostvlad-speaker-original/src/generator.py", line 58, in __data_generation_mp
X = np.expand_dims(np.array([p.get() for p in X]), -1)
File "/data/ghostvlad-speaker-original/src/generator.py", line 58, in <listcomp>
X = np.expand_dims(np.array([p.get() for p in X]), -1)
File "/usr/lib/python3.5/multiprocessing/pool.py", line 608, in get
raise self._value
ValueError: There aren't any elements to reflect in axis 0 of `array`
I0528 18:57:06.038911 22079 executor.cpp:675] Container exited with status 1
W0528 18:57:06.038911 22072 logging.cpp:93] RAW: Received signal SIGTERM from process 16635 of user 0; exiting
And I think the accuracy is too low. How about in your case?
I tried to train with voxceleb2
and got message while training
And I think the accuracy is too low. How about in your case?