AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects' #14632

clime · 2021-05-06T15:32:28Z

Needed to do: cp ./lib64/python3.9/site-packages/tensorflow/python/keras/utils/generic_utils.py ./lib/python3.9/site-packages/keras/utils/generic_utils.py in my virtualenv.

tensorflow-2.5.0rc3-cp39-cp39-manylinux2010_x86_64.whl
Keras-2.4.3-py2.py3-none-any.whl
Python 3.9.4

The text was updated successfully, but these errors were encountered:

- vis keras-team/keras#14632

nzw0301 · 2021-05-21T13:44:13Z

dear keras-team, do you have any plan to release a newer stable version of Keras? Currently, the stable Keras 2.4.3 does not work with TensorFlow 2.5.0 due to the error reported in this issue.

Nikeshbajaj · 2021-05-21T23:33:03Z

Same issue here, with tensoflow 2.5.0, updated verion of keras doesn't work. Any plans to fix this issue.

YiminGao0113 · 2021-05-22T19:02:16Z

Same issue here!

James-Ang · 2021-05-23T11:38:32Z

same issue

a0s · 2021-05-23T13:13:34Z

same issue here with plaidbench keras mobilenet (as described in https://www.micah.soy/posts/machine-learning-ai-on-macos-catalina-with-metal-gpu-support/)

SpeedyCraftah · 2021-05-23T19:13:07Z

same here with a standard keras installation

zaid-kamil · 2021-05-24T05:26:33Z

same issue
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'
File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\streamlit\script_runner.py", line 338, in _run_script exec(code, module.__dict__) File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\app.py", line 11, in <module> from enhancer import resolution_dlss File ".\enhancer.py", line 6, in <module> from keras.models import load_model File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\__init__.py", line 3, in <module> from . import utils File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\utils\__init__.py", line 26, in <module> from .vis_utils import model_to_dot File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\utils\vis_utils.py", line 7, in <module> from ..models import Model File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\models.py", line 10, in <module> from .engine.input_layer import Input File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\engine\__init__.py", line 3, in <module> from .input_layer import Input File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\engine\input_layer.py", line 7, in <module> from .base_layer import Layer File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\engine\base_layer.py", line 12, in <module> from .. import initializers File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\initializers\__init__.py", line 124, in <module> populate_deserializable_objects() File "C:\Users\xaidi\GitHub\Image-resolution-enhancer-using-DLSS\tf25\lib\site-packages\keras\initializers\__init__.py", line 82, in populate_deserializable_objects generic_utils.populate_dict_with_module_objects(

keras == 2.4.3
tensorflow==2.5.0

khanfarhan10 · 2021-05-24T10:46:49Z

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

khanfarhan10 · 2021-05-24T11:32:31Z

Trust me the above might be a long solution but will work in the long run.

aliwelchoo · 2021-05-24T11:50:13Z

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

afdeaf · 2021-05-24T12:27:43Z

same issue when import hyperas

ghost · 2021-05-24T13:38:27Z

Had the same issue, after I uninstalled all tensorflows and keras-nightly, I reinstalled tensorflow with pip install tensorflow --upgrade --force-reinstall and it worked.

a0s · 2021-05-24T14:03:36Z

@aliwelchoo @khanfarhan10 The tensorflow.keras works fine, but using keras directly is the only way to get plaidml-keras and using Metal and AMD GPU during learning on Mac

ghost · 2021-05-27T07:02:57Z

`# import tensorflow.compat.v2 as tf
import tensorflow as tf
from tf import keras
.
tf.keras.generic_utils.populate_dict_with_module_objects(
@keras_export('keras.initializers.serialize')
def serialize(initializer):
return tf.keras.generic_utils.serialize_keras_object(initializer)

@keras_export('keras.initializers.deserialize')
def deserialize(config, custom_objects=None):
"""Return an Initializer object from its config."""
populate_deserializable_objects()
return tf.keras.generic_utils.deserialize_keras_object(
config,
module_objects=LOCAL.ALL_OBJECTS,
custom_objects=custom_objects,
printable_module_name='initializer')

.

`

MatthiasRakotomalala · 2021-05-27T13:40:53Z

same issue

Jeevanvarmap · 2021-05-27T18:53:35Z

replace: import keras.utils as generic_utils

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

Ammyvijay · 2021-05-28T06:53:15Z

Same Issue I had also seen,..

I update the importing header keras instead with tensorflow... Its working.. all my model

from tensorflow.keras import Sequential
from tensorflow.keras.models import load_model
from tensorflow.keras.layers import Dense,LSTM

Maximevdm · 2021-05-28T08:31:53Z

I'm having trouble with keras_self_attention import SeqSelfAttention.
It gives the error:
generic_utils.populate_dict_with_module_objects(
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

Does someone know how to solve this problem?

anasfathi0 · 2021-05-31T09:40:38Z

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

can someone explain to how to do this, i still new and do not understand

wings-cofandt · 2021-05-31T22:07:59Z

Yes it worked for me thanks everyone. Replacing keras with tensorflow.keras will definitely run your program

khanfarhan10 · 2021-06-01T04:30:29Z

@anasfathi0 Instead of using the keras library explicitly, use tensorflow backend and call keras implicitly.

wings-cofandt · 2021-06-01T06:18:24Z

Hi Farhan, Yeah I did that and it worked. Thanks very much

…

On Tue, Jun 1, 2021, 09:30 Farhan Hai Khan ***@***.***> wrote: @anasfathi0 <https://github.com/anasfathi0> Instead of using the keras library explicitly, use tensorflow backend and call keras implicitly. — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#14632 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/ANRLWQ7UW2P4JVB57RDU4KTTQRO7DANCNFSM44HJHL4A> .

phaneendhra-ch · 2021-06-02T10:27:48Z

This sorted me out.
I have uninstalled tensorflow, keras and keras-nightly
and i have reinstalled again tensorflow and keras only.
I hope this might be helpful.

immanuelweule · 2021-07-07T12:33:35Z

Had the same issue, after I uninstalled all tensorflows and keras-nightly, I reinstalled tensorflow with pip install tensorflow --upgrade --force-reinstall and it worked.

THANK YOU SO MUCH!!!! YOU'RE A GOD!!

mgioioso · 2021-07-13T19:28:56Z

Replaced everything of keras to tf.keras

This is the way to go. Tensorflow will ensure the compatibility with keras if you use the sub-package.

Thanks to this had to run a fun pip install force reinstall keras-team/keras#14632 Solution found here after reinstalling tensorflow with updated keras https://stackoverflow.com/questions/67703871/importerror-cannot-import-name-to-categorical-from-keras-utils-usr-local Things run now.

- fixes keras-team/keras#14632

Well2333 · 2021-07-24T07:10:50Z

same issue here QwQ

Well2333 · 2021-07-24T07:22:37Z

Yes it worked for me thanks everyone. Replacing keras with tensorflow.keras will definitely run your program

THANKSSSSSS, IT WORK!!!!!!

BertramGilfoyle1 · 2021-08-06T12:33:10Z

If you work on ubuntu and conda:

cp ./anaconda3/envs/{ENV}/lib/python3.9/site-packages/tensorflow/python/keras/utils/generic_utils.py ./anaconda3/envs/{ENV}/lib/python3.9/site-packages/keras/utils/generic_utils.py

{ENV} = your conda environment name

nschang · 2021-08-16T11:49:18Z

Solved on google Colab (CUDA==11.0; tensorflow==1.15) by adding tensorflow.python. to keras. in import:

# NOT WORKING
>>> from keras.initializers import initializers_v1
>>> from keras.initializers import initializers_v2
>>> from keras.utils import generic_utils
>>> from keras.utils import tf_inspect as inspect

this gives an error:

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-35-fa830678264f> in <module>()
----> 1 from keras.utils import generic_utils
      2 from tensorflow.python.keras.utils import tf_inspect as inspect

8 frames
/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py in populate_deserializable_objects()
     80     v2_objs = {}
     81     base_cls = initializers_v2.Initializer
---> 82     generic_utils.populate_dict_with_module_objects(
     83         v2_objs,
     84         [initializers_v2],

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

this works:

>>> from tensorflow.python.keras.initializers import initializers_v1
>>> from tensorflow.python.keras.initializers import initializers_v2
>>> from tensorflow.python.keras.utils import generic_utils
>>> from tensorflow.python.keras.utils import tf_inspect as inspect

Abdurrasith · 2021-08-17T13:15:56Z

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

Where and what is the file i must edit this?

Gabriel0598 · 2021-08-25T04:35:49Z

Hello, i updated the TensorFlow through Anaconda Prompt with command line: pip install tensorflow --update, after it is in version 3.1.1. With it the problem was solved, it in my case, because i'm using the tensorflow through Anaconda platform.

ymodak · 2021-09-04T01:39:22Z

Closing this issue since its resolved. Feel free to post a new issue if still have problems. Thanks!

going back to Tensorflow 2.2.1 as 2.5.1 is not compatible with Keras version. For details see keras-team/keras#14632

mdrhmn · 2021-09-20T00:25:41Z

I'm having trouble with keras_self_attention import SeqSelfAttention.
It gives the error:
generic_utils.populate_dict_with_module_objects(
AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects'

Does someone know how to solve this problem?

Have you managed to solve the issue?

eman85 · 2021-12-29T16:07:21Z

pip install keras-self-attention==0.50.0

this is works for me

yoyoisaboy · 2022-01-06T06:53:03Z

from keras.utils import np_utils
change
from keras.utils.np_utils import *

sometime work...

ravi-aii · 2022-10-23T03:27:34Z

Reinstalling the tensorflow solved my same issue
pip install tensorflow --upgrade --force-reinstall --user

mikechen66 · 2022-11-15T10:36:20Z

Please add the snippet of the code into the program of general_utils.py

1. Find out your path

For me, the path is listed as follows:

/home/user/miniconda3/lib/python3.7/site-packages/tensorflow/python/keras/utils/generic_utils.py

2. Paste the code into the program of generic_utils.py


def populate_dict_with_module_objects(target_dict, modules, obj_filter):
  for module in modules:
    for name in dir(module):
      obj = getattr(module, name)
      if obj_filter(obj):
        target_dict[name] = obj

3. Initialize the dev tool

It will be working after initializing the dev tool (it is Terminal for me in Linux)

google-ml-butler bot added the backend:tensorflow label May 6, 2021

clime mentioned this issue May 6, 2021

module 'tensorflow.python.keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects' tensorflow/tensorflow#38012

Closed

JGSweets mentioned this issue May 19, 2021

Fix for avro reader test files format, limit TF version till fix. capitalone/DataProfiler#220

Merged

casperdcl added a commit to tqdm/tqdm that referenced this issue May 20, 2021

tests: fix keras

6218221

- vis keras-team/keras#14632

casperdcl added a commit to tqdm/tqdm that referenced this issue May 20, 2021

tests: fix keras

f4dbe42

- vis keras-team/keras#14632

lpla mentioned this issue May 25, 2021

Bump tensorflow from 2.4.1 to 2.5.0 in /requirements bitextor/bitextor#212

Merged

nickyoungforu mentioned this issue May 28, 2021

keras error binghong-ml/MolEvol#2

Closed

dxq77dxq mentioned this issue Jul 9, 2021

Model.from_keras_model got an error sassoftware/python-dlpy#371

Closed

neon-ninja mentioned this issue Jul 9, 2021

One question regarding config.devices UoA-eResearch/leapmotion_gestures#17

Closed

haven-jeon added a commit to haven-jeon/PyKoSpacing that referenced this issue Jul 10, 2021

fix according to keras-team/keras#14632

7bd81fe

keighrim mentioned this issue Jul 13, 2021

does not work with TF2.5 ina-foss/inaSpeechSegmenter#64

Closed

sscdotopen mentioned this issue Jul 15, 2021

Problematic tensorflow/keras dependency stefan-grafberger/mlinspect#78

Open

ravnoor added a commit to ravnoor/ANTsPyNet that referenced this issue Jul 16, 2021

remove import keras

283d7b3

- fixes keras-team/keras#14632

ravnoor mentioned this issue Jul 16, 2021

keras import cleanup ANTsX/ANTsPyNet#38

Merged

rb643 mentioned this issue Jul 22, 2021

Tensorflow and keras issues BBillot/SynthSeg#12

Closed

harupy mentioned this issue Jul 26, 2021

Avoid using tensorflow 2.5.0 which is incompatible with keras 2.4.3 mlflow/mlflow#4600

Merged

27 tasks

nlathia mentioned this issue Aug 25, 2021

Bump tensorflow from 2.4.2 to 2.5.1 operatorai/modelstore#59

Merged

ymodak closed this as completed Sep 4, 2021

hluetck added a commit to HelmchenLabSoftware/Cascade that referenced this issue Sep 6, 2021

Update requirements_mac.txt

0165787

going back to Tensorflow 2.2.1 as 2.5.1 is not compatible with Keras version. For details see keras-team/keras#14632

gokceneraslan mentioned this issue Sep 17, 2021

pip install : ModuleNotFoundError: No module named 'keras.objectives' theislab/dca#48

Closed

valerie-ducret mentioned this issue Feb 15, 2022

what i missing here? valerie-ducret/pyx_COV19#3

Open

laebe mentioned this issue Nov 8, 2022

Problem in the first version PRBonn/OverlapNet#36

Closed

AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects' #14632

AttributeError: module 'keras.utils.generic_utils' has no attribute 'populate_dict_with_module_objects' #14632

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