lalimili6
commented
5 years ago It ran well, it about tensorfllow version
Closed lalimili6 closed 5 years ago
lalimili6
commented
5 years ago It ran well, it about tensorfllow version
Lukelluke
commented
4 years ago It ran well, it about tensorfllow version
How did u resolve this problem, i countered with this problem too.:TF ver=1.12
Lukelluke
commented
4 years ago It ran well, it about tensorfllow version
How did u resolve this problem, i countered with this problem too.:TF ver=1.12
It owe to the problem of numpy. I change it from 1.16 to 1.15.4 and problem disappear, and the folder of training finally have results come out.
error is:
~/tacotron$ python3 preprocess.py --dataset ljspeech /home/ubuntu/.local/lib/python3.5/site-packages/scipy/signal/signaltools.py:1363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; usearr[tuple(seq)]instead ofarr[seq]. In the future this will be interpreted as an array index,arr[np.array(seq)], which will result either in an error or a different result. out = out_full[ind] /home/ubuntu/.local/lib/python3.5/site-packages/scipy/signal/signaltools.py:1363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; usearr[tuple(seq)]instead ofarr[seq]. In the future this will be interpreted as an array index,arr[np.array(seq)], which will result either in an error or a different result. out = out_full[ind] /home/ubuntu/.local/lib/python3.5/site-packages/scipy/signal/signaltools.py:1363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; usearr[tuple(seq)]instead ofarr[seq]. In the future this will be interpreted as an array index,arr[np.array(seq)], which will result either in an error or a different result. out = out_full[ind] /home/ubuntu/.local/lib/python3.5/site-packages/scipy/signal/signaltools.py:1363: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; usearr[tuple(seq)]instead ofarr[seq]. In the future this will be interpreted as an array index,arr[np.array(seq)]`, which will result either in an error or a different result. out = out_full[ind] 0%| | 0/13100 [00:00<?, ?it/s]concurrent.futures.process._RemoteTraceback: """ Traceback (most recent call last): File "/usr/lib/python3.5/concurrent/futures/process.py", line 175, in _process_worker r = call_item.fn(*call_item.args, **call_item.kwargs) File "/home/ubuntu/tacotron/datasets/ljspeech.py", line 60, in _process_utterance mel_spectrogram = audio.melspectrogram(wav).astype(np.float32) File "/home/ubuntu/tacotron/util/audio.py", line 51, in melspectrogram S = _amp_to_db(_linear_to_mel(np.abs(D))) - hparams.ref_level_db File "/home/ubuntu/tacotron/util/audio.py", line 128, in _linear_to_mel _mel_basis = _build_mel_basis() File "/home/ubuntu/tacotron/util/audio.py", line 133, in _build_mel_basis return librosa.filters.mel(hparams.sample_rate, n_fft, n_mels=hparams.num_mels) File "/home/ubuntu/.local/lib/python3.5/site-packages/librosa/filters.py", line 247, in mel lower = -ramps[i] / fdiff[i] ValueError: operands could not be broadcast together with shapes (1,1025) (0,) """The above exception was the direct cause of the following exception:
Traceback (most recent call last): File "preprocess.py", line 50, in
main()
File "preprocess.py", line 46, in main
preprocess_ljspeech(args)
File "preprocess.py", line 21, in preprocess_ljspeech
metadata = ljspeech.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
File "/home/ubuntu/tacotron/datasets/ljspeech.py", line 33, in build_from_path
return [future.result() for future in tqdm(futures)]
File "/home/ubuntu/tacotron/datasets/ljspeech.py", line 33, in
return [future.result() for future in tqdm(futures)]
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 398, in result
return self.get_result()
File "/usr/lib/python3.5/concurrent/futures/_base.py", line 357, in get_result
raise self._exception
ValueError: operands could not be broadcast together with shapes (1,1025) (0,)`