Comments (16)
ZmeiGorynych
commented on August 27, 2024
1
No particular reason - ran into same issue when using Theano:
ubuntu@ip-172-31-47-104:~/wavenet$ KERAS_BACKEND=theano python wavenet.py predict with models/run_20160920_120916/config.json predict_seconds=1
Using Theano backend.
WARNING - root - Changed type of config entry "run_dir" from NoneType to unicode
WARNING - root - Changed type of config entry "optimizer.epsilon" from NoneType to float
INFO - wavenet - Running command 'predict'
WARNING - wavenet - No observers have been added to this run
INFO - wavenet - Started
INFO - predict - Using checkpoint from epoch: 358
INFO - predict - Saving to "models/run_20160920_120916/samples/sample_epoch-00358_01s__sample-temp-0.001_seed-946674575.wav"
ERROR - wavenet - Failed after 0:00:00!
Traceback (most recent calls WITHOUT Sacred internals):
File "wavenet.py", line 316, in predict
model = build_model()
File "wavenet.py", line 241, in build_model
name='initial_causal_conv')(out)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 286, in __init__
bias=bias, **kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 126, in __init__
super(Convolution1D, self).__init__(**kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 326, in __init__
raise TypeError('Keyword argument not understood:', kwarg)
TypeError: ('Keyword argument not understood:', 'causal')
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basveeling
commented on August 27, 2024
1
I'll take a look tomorrow, the causal flag was something I added in the
wavenet branch of my keras fork, but I think I can arrange something with a
lambda layer and use the main branch of keras.
…On Wed, Jan 25, 2017, 18:34 Egor Kraev ***@***.***> wrote:
It's there in many places, and there's a specific comment that the
function in question is in his keras fork. How the earlier commenters
managed to make it work is a mystery to me ;)
Oh well, unless someone can suggest a solution here I'll go for
https://github.com/ibab/tensorflow-wavenet and
https://github.com/tomlepaine/fast-wavenet instead :)
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beckgom
commented on August 27, 2024
I got same issue, too.
any idea?
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beckgom
commented on August 27, 2024
I solved the problem by reinstalling keras from basveeling github.
try to uninstall the keras and use it from basveeling's one
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yongxuUSTC
commented on August 27, 2024
Yes, you are right. Tks
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ZmeiGorynych
commented on August 27, 2024
Doesn't work for me. I did
$ pip uninstall keras
$ pip install git+https://github.com/basveeling/keras.git
$ KERAS_BACKEND=tensorflow python wavenet.py predict with models/run_20160920_120916/config.json predict_seconds=1
And I get the following error:
Using TensorFlow backend.
Traceback (most recent call last):
File "wavenet.py", line 23, in
from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau, CSVLogger
ImportError: cannot import name ReduceLROnPlateau
Am I doing something wrong?
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Sobsz
commented on August 27, 2024
@ZmeiGorynych I don't think @basveeling's branch of Keras can fix the problem, I tried using it and it's just too old. Try installing the newest version and tell me what shows up.
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ZmeiGorynych
commented on August 27, 2024
newest version of Keras from PyPI?
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ZmeiGorynych
commented on August 27, 2024
Doesn't help I'm afraid:
ubuntu@ip-172-31-47-104:~/wavenet$ pip install keras -U
...
ubuntu@ip-172-31-47-104:~/wavenet$ KERAS_BACKEND=tensorflow python wavenet.py predict with models/run_20160920_120916/config.json predict_seconds=1
Using TensorFlow backend.
WARNING - root - Changed type of config entry "run_dir" from NoneType to unicode
WARNING - root - Changed type of config entry "optimizer.epsilon" from NoneType to float
INFO - wavenet - Running command 'predict'
WARNING - wavenet - No observers have been added to this run
INFO - wavenet - Started
INFO - predict - Using checkpoint from epoch: 358
INFO - predict - Saving to "models/run_20160920_120916/samples/sample_epoch-00358_01s__sample-temp-0.001_seed-946674575.wav"
ERROR - wavenet - Failed after 0:00:00!
Traceback (most recent calls WITHOUT Sacred internals):
File "wavenet.py", line 316, in predict
model = build_model()
File "wavenet.py", line 241, in build_model
name='initial_causal_conv')(out)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 286, in __init__
bias=bias, **kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/layers/convolutional.py", line 126, in __init__
super(Convolution1D, self).__init__(**kwargs)
File "/home/ubuntu/anaconda2/lib/python2.7/site-packages/keras/engine/topology.py", line 326, in __init__
raise TypeError('Keyword argument not understood:', kwarg)
TypeError: ('Keyword argument not understood:', 'causal')
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Sobsz
commented on August 27, 2024
I noticed you're explicitly using TensorFlow. Is there a reason for that?
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Sobsz
commented on August 27, 2024
I mean, it's probably not the reason for the TypeError, but AFAIK the script doesn't like to work with TensorFlow...
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Sobsz
commented on August 27, 2024
From what I can figure out (that is, not a lot), @basveeling used an argument (casual) which is neither in his branch nor the master branch of Keras. The only thing I can think of (and this is probably a terrible solution) is removing casual=True, from line 240 of wavenet.py.
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ZmeiGorynych
commented on August 27, 2024
It's there in many places, and there's a specific comment that the function in question is in his keras fork. How the earlier commenters managed to make it work is a mystery to me ;)
Oh well, unless someone can suggest a solution here I'll go for https://github.com/ibab/tensorflow-wavenet and https://github.com/tomlepaine/fast-wavenet instead :)
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agulli
commented on August 27, 2024
Were you able to solve it?
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basveeling
commented on August 27, 2024
Hi! I've been running into some odd Theano errors, and I lack access to a GPU right now. I'll hopefully figure this out soon :).
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basveeling
commented on August 27, 2024
I think my recent fix should solve this issue. Please let me know if it works :).
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