Please, I really need some help here.
I am trying to use the pytorch-wavenet architecture to predict a time series data (csv files), but I get the following error:
Traceback (most recent call last):
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/runpy.py", line 193, in _run_module_as_main
"main", mod_spec)
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/jupyter-belona/Untitled_Folder/deep-learning-clinical-forecast/mimic3newmodels/decompensation/main.py", line
74, in
model_module = imp.load_source(os.path.basename(args.network), args.network)
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/imp.py", line 171, in load_source
module = _load(spec)
File "", line 696, in _load
File "", line 677, in _load_unlocked
File "", line 728, in exec_module
File "", line 219, in _call_with_frames_removed
File "pytorch_wavenet/wavenet_model.py", line 5, in
from pytorch_wavenet.audio_data import
File "/home/jupyter-belona/Untitled_Folder/deep-learning-clinical-forecast/pytorch_wavenet/audio_data.py", line 8, in <mo
dule>
import librosa as lr
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/init.py", line 13, in
from . import core
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/core/init.py", line 115, in <mo
dule>
from .audio import # pylint: disable=wildcard-import
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/core/audio.py", line 8, in
import soundfile as sf
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/soundfile.py", line 142, in
raise OSError('sndfile library not found')
OSError: sndfile library not found
Has anyone used the architecture for such task before? Can anyone help me out?
Please, I really need some help here. I am trying to use the pytorch-wavenet architecture to predict a time series data (csv files), but I get the following error:
Traceback (most recent call last): File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/runpy.py", line 193, in _run_module_as_main "main", mod_spec) File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/runpy.py", line 85, in _run_code exec(code, run_globals) File "/home/jupyter-belona/Untitled_Folder/deep-learning-clinical-forecast/mimic3newmodels/decompensation/main.py", line 74, in
model_module = imp.load_source(os.path.basename(args.network), args.network)
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/imp.py", line 171, in load_source
module = _load(spec)
File "", line 696, in _load
File "", line 677, in _load_unlocked
File "", line 728, in exec_module
File "", line 219, in _call_with_frames_removed
File "pytorch_wavenet/wavenet_model.py", line 5, in
from pytorch_wavenet.audio_data import
File "/home/jupyter-belona/Untitled_Folder/deep-learning-clinical-forecast/pytorch_wavenet/audio_data.py", line 8, in <mo
dule>
import librosa as lr
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/init.py", line 13, in
from . import core
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/core/init.py", line 115, in <mo
dule>
from .audio import # pylint: disable=wildcard-import
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/librosa/core/audio.py", line 8, in
import soundfile as sf
File "/home/jupyter-belona/.conda/envs/mimic-proj/lib/python3.7/site-packages/soundfile.py", line 142, in
raise OSError('sndfile library not found')
OSError: sndfile library not found
Has anyone used the architecture for such task before? Can anyone help me out?
Please, treat as urgent. Thank you