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AttributeError: module 'tensorflow.python.keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

When I import keras, the error above pops up even though it was working fine yesterday.

How do I resolve this error?

I am working on windows 10 my keras version is: 2.2.4 my tensorflow version is: 2.2.0rc2

complete error traceback is seen below as such:

Traceback (most recent call last):

    from keras import models
  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\__init__.py", line 3, in <module>

    from . import utils
  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\utils\__init__.py", line 6, in <module>

    from . import conv_utils

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\utils\conv_utils.py", line 9, in <module>

    from .. import backend as K

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\backend\__init__.py", line 1, in <module>

    from .load_backend import epsilon

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\backend\load_backend.py", line 90, in <module>

    from .tensorflow_backend import *

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\keras\backend\tensorflow_backend.py", line 5, in <module>

    import tensorflow as tf

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\__init__.py", line 41, in <module>

    from tensorflow.python.tools import module_util as _module_util
  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\__init__.py", line 84, in <module>

    from tensorflow.python import keras

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\__init__.py", line 27, in <module>

    from tensorflow.python.keras import models

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\models.py", line 24, in <module>

    from tensorflow.python.keras import metrics as metrics_module

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\metrics.py", line 37, in <module>

    from tensorflow.python.keras.engine import base_layer

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 51, in <module>

    from tensorflow.python.keras import initializers

  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\initializers\__init__.py", line 127, in <module>

    populate_deserializable_objects()
  File "C:\Users\world\AppData\Local\Programs\Python\Python38\lib\site-packages\tensorflow\python\keras\initializers\__init__.py", line 85, in populate_deserializable_objects
    generic_utils.populate_dict_with_module_objects(
AttributeError: module 'tensorflow.python.keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
over 4 years ago · Santiago Trujillo
17 answers
Answer question

0

I encountered the same problem using Python 3.9 and Tensorflow 2.5. The problem for me was that those two are not yet compatible, and as such, the solution is to install python 3.8 instead, and possibly also downgrade Tensorflow 2.5 to Tensorflow 2.4.

over 4 years ago · Santiago Trujillo Report

0

%env SM_FRAMEWORK=tf.keras

Try this code before importing segmentation models, it solved my problem.

over 4 years ago · Santiago Trujillo Report

0

Please copy "populate_dict_with_module_objects" function from this link (line 1162 to 1167) and add it to "generic_utils.py"

over 4 years ago · Santiago Trujillo Report

0

change from keras import models to from tensorflow.keras import models
this solved the problem for me with tensorflow 2.5.0

over 4 years ago · Santiago Trujillo Report

0

Replaced everything of keras to tf.keras !
Using Libs:

tensorflow-cpu==2.4.0
keras==2.4.0
import tensorflow as tf
from tensorflow import keras

Change layers as :

keras.layers.Conv2D(512, (3, 3), activation='relu', padding='same')(pool4)
tf.keras.layers.Conv2D(512, (3, 3), activation='relu', padding='same')(pool4)

Change Optimizer:

keras.optimizers.Adam(lr=1e-5)
tf.keras.optimizers.Adam(lr=1e-5)

Change Operations:

keras.concatenate
tf.concat
keras.flatten
tf.keras.flatten
keras.sum
tf.keras.sum

Hope it helps someone stuck up there!

over 4 years ago · Santiago Trujillo Report

0

replace: from keras.utils import generic_utils

with: from tensorflow.python.keras.utils import generic_utils

over 4 years ago · Santiago Trujillo Report

0

Had this issue with tensorflow-gpu==2.5.0

I think the problem is caused some interaction between this two files (virtual env):

$ find env -name generic_utils.py
env/lib/python3.9/site-packages/tensorflow/python/keras/utils/generic_utils.py
env/lib/python3.9/site-packages/keras/utils/generic_utils.py

I added this import to env/lib/python3.9/site-packages/keras/utils/generic_utils.py:

from tensorflow.python.keras.utils.generic_utils import populate_dict_with_module_objects, to_snake_case

it seems worked.

See here: https://github.com/keras-team/keras/issues/14657

over 4 years ago · Santiago Trujillo Report

0

I installed Tensorflow and Keras using pip install tensorflow pip install keras and I got the same error in tensorflow 2.5.0. I uninstalled both and reinstalled with conda install tensorflow conda install keras

This resolved my error.

over 4 years ago · Santiago Trujillo Report

0

Try to replace

tensorflow.python.keras.utils.generic_utils

from this link.

over 4 years ago · Santiago Trujillo Report

0

If using Google Colab, run this at the start of the notebook to avoid conflict with the default version provided by Colab. Also please note if tensorflow is already installed, it will restart the runtime. So, its better to do this at the start of the notebook rather than in the middle.

!pip install tensorflow==2.1.0
over 4 years ago · Santiago Trujillo Report

0

I've gotten around this by uninstalling Keras and changing anything I import from Keras to instead import from tensorflow.keras

So this:

    from keras.preprocessing.image import load_img
    from keras.preprocessing.image import img_to_array
    from keras.applications.vgg16 import preprocess_input
    from keras.applications.vgg16 import decode_predictions
    from keras.applications.vgg16 import VGG16

became this:

    from tensorflow.keras.preprocessing.image import load_img
    from tensorflow.keras.preprocessing.image import img_to_array
    from tensorflow.keras.applications.vgg16 import preprocess_input
    from tensorflow.keras.applications.vgg16 import decode_predictions
    from tensorflow.keras.applications.vgg16 import VGG16

and then I didn't have to amend the rest of my work

over 4 years ago · Santiago Trujillo Report

0

Changed from keras.utils import _____

to from tensorflow.python.keras.utils import _____

This worked for me while using TensorFlow 2.5.0

over 4 years ago · Santiago Trujillo Report

0

Try using :

pip install tensorflow --upgrade --force-reinstall
over 4 years ago · Santiago Trujillo Report

0

I upgraded keras and it worked. I used this command:

> pip install --upgrade keras

You might need to restart the kernel to see the effect.

over 4 years ago · Santiago Trujillo Report

0

Rather than downgrading or any other solution, directly import from tensorflow.keras

for eg: rather than using: from keras.models import Sequential use: from tensorflow.keras.model import Sequential

over 4 years ago · Santiago Trujillo Report

0

I had the same problem, and I have successfully solved this issue with downgrading tensorflow version to 2.1.0.

pip install tensorflow==2.1.0
over 4 years ago · Santiago Trujillo Report

0

try uninstalling tf-nightly package with this pip uninstall tf-nightly and check python -c "import tensorflow". Hope this solves the problem

over 4 years ago · Santiago Trujillo Report
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