Reputation: 531
I am trying to run a script, but I struggle already at the imports. This import
from keras.preprocessing.image import save_img
raises the following error:
AttributeError: module 'tensorflow' has no attribute 'name_scope'.
I am using the following packages.
Keras 2.2.2,
Keras-Applications 1.0.4,
Keras-Preprocessing 1.0.2,
tensorflow 1.9.0,
tensorflow-gpu 1.9.0
Upvotes: 12
Views: 45765
Reputation: 716
My tensorflow version is 2.1, and I found my tensorflow-estimator version is 2.2
My fix is to downgrade the estimator to the same version
Upvotes: 0
Reputation: 1171
I also encountered this same problem when I stopped my IDE while executing. Restarting my IDE works for me. Just save your program and restart IDE. Hope it will work for you as well.
Upvotes: 1
Reputation: 1390
For everyone who use Tensorflow 2.0 and stumble upon this question with the same error, like I did: I solved it by changing the imports from keras.xxx
to tensorflow.keras.xxx
Upvotes: 4
Reputation: 1150
My IDE offered me two different import paths
keras
or
tensorflow_core.python.keras
In my example I could either import like this:
from keras.layers import Dense, Dropout, LSTM, Input, Activation
from keras import optimizers, Model
or like that:
from tensorflow_core.python.keras import Input, Model, optimizers
from tensorflow_core.python.keras.layers import LSTM, Dropout, Dense
Mixing up tensorflow_core.python.keras and plain keras led to the problem in my case. After I imported everything directly from keras and keras.layers, it worked for me.
Upvotes: 0
Reputation: 8086
I encountered this same bug and reinstalling tensorflow made no difference, and this caused me some headscratching.
Eventually I noticed that my IDE autocomplete had added the following line to my code:
from tensorflow_core.python.keras.callbacks import EarlyStopping
It seems that directly referencing tensorflow_core.python
will break tensorflow
.
Replacing this with the normal tensorflow import solved the problem!
from tensorflow.keras.callbacks import EarlyStopping
Upvotes: 0
Reputation: 22021
I was unable to reproduce with the same versions of the keras and tensorflow, reinstalling keras and tensorflow, may solve the issue, please use commands below:
pip install --upgrade pip setuptools wheel
pip install -I tensorflow
pip install -I keras
NOTE: The -I
parameter stands for ignore installed package.
Upvotes: 15
Reputation: 1
As Andriy Ivaneyko mentioned above, reinstalling tensorflow
helps. I'm not sure why, but installing tensorflow-serving-api
breaks something somewhere along the way. We solved this by running:
pip install --force-reinstall tensorflow
Note that this applies to both tensorflow
and tensorflow-gpu
installations. Specifically, the above command will fix this problem in situations where you're specifically using tensorlfow-gpu
. tensorflow-serving-api
installs regular tensorflow
if it's not already installed.
Upvotes: 0