My notebook was working up till today. At the beginning of my colab notebook I install tf-nightly, but now it is giving me this error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-589c442233c5> in <module>()
7 import tensorflow as tf
8 from tensorflow.keras import datasets, layers, models
----> 9 from keras.preprocessing import image
10 from keras_preprocessing.image import ImageDataGenerator #check underscore or not
11 from tensorflow.keras.preprocessing import image_dataset_from_directory
2 frames
/usr/local/lib/python3.7/dist-packages/keras/backend.py in <module>()
35 from tensorflow.python.distribute import distribute_coordinator as dc
36 from tensorflow.python.distribute import distribute_coordinator_context as dc_context
---> 37 from tensorflow.python.eager.context import get_config
38 from tensorflow.python.framework import config
39 from keras import backend_config
ImportError: cannot import name 'get_config' from 'tensorflow.python.eager.context' (/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/eager/context.py)
My code:
!pip install tf-nightly
import tensorflow as tf
from tensorflow.keras import datasets, layers, models
from keras.preprocessing import image
from keras_preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing import image_dataset_from_directory
from keras.callbacks import Callback, ModelCheckpoint, ReduceLROnPlateau, EarlyStopping
Installing tensorflow==2.1.0 did not work either.
14 Answers
Instead of:
import keras
Try:
from tensorflow import keras
These commands fixed the issue:
pip install --upgrade tensorflow
pip install --upgrade tensorflow-gpu
Try the version of Keras 2.3.1
pip install keras==2.3.1
then also install that
pip install git+
instead of
from keras.preprocessing import image
do this:
from tensorflow.keras.preprocessing import image
In my case with Google colab, I downgraded tensorflow to 2.2 and replaced all import keras.xxxx to import tensorflow.keras.xxxx. That fixed it.
I just solved this problem for myself.
# Instead of this:
from keras.preprocessing import image
# Do this:
from tensorflow.keras.preprocessing import image
I've updated
from keras.preprocessing.image import ImageDataGenerator
from keras.preprocessing.image import img_to_array, load_img
from keras import layers, models, optimizers
from keras import backend as K
to
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from tensorflow.keras.preprocessing.image import img_to_array, load_img
from tensorflow.keras import layers, models, optimizers
from tensorflow.keras import backend as K
and it works :)
In my case I changed the import from the following:
from keras.preprocessing.image import ImageDataGenerator
To this:
from tensorflow.keras.preprocessing.image import ImageDataGenerator
pip install --upgrade tensorflow
pip install --upgrade tensorflow-gpu
Works, but will interfere with the Tensorflow/NVIDIA CUDA Toolkit/NVIDIA cuDNN GPU-support set up. Better solution: unistall Keras 2.6.0, install Keras 2.4.3
The bug is fixed and GPU is running!
I had Tensorflow===2.2.0 and when I updated it to Tensorflow==2.4.0 this issue occurred.
I think there is a conflict of keras.models.load_model and the base version of tensorflow you are using.
Try running -
import tensorflow as tf
tf.keras.models.load_model(model_path)
It worked for me.
This strange problem corresponds with imports of tensorflow. If you change from keras.preprocessing import image to from tensorflow.keras.preprocessing import image it will work.
For me it just work upgrading tensorflow. Note: if you're using special tensorflow as gpu version, you must update this one because it's a separate module.
pip install --upgrade tensorflow
pip install --upgrade tensorflow
Then restart the kernal
I had the same problem after installing tensorflow cpu with the instructions from anaconda. I used the following codes
from keras_preprocessing.text import Tokenizer
from keras_preprocessing.sequence import pad_sequences
