Issue with add method in tensorflow : AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'

Question

import keras as K
from keras.models import Sequential
from keras.layers import Dense
from tensorflow import set_random_seed

for hidden_neuron in hidden_neurons:
  model = Sequential()

model.add(Dense(hidden_neuron, input_dim=61, activation='relu'))

-> i am getting error at this line. I am not really sure what am i missing here.

Traceback (most recent call last):

File "PycharmProjects/HW2/venv/bin/hw3q4.py", line 46, in model.add(Dense(hidden_neuron, input_dim=61, activation='relu')) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/sequential.py", line 165, in add layer(x) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/base_layer.py", line 414, in call self.assert_input_compatibility(inputs) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/engine/base_layer.py", line 279, in assert_input_compatibility K.is_keras_tensor(x) File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 472, in is_keras_tensor if not is_tensor(x): File "/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/site-packages/keras/backend/tensorflow_backend.py", line 480, in is_tensor return isinstance(x, tf_ops._TensorLike) or tf_ops.is_dense_tensor_like(x) AttributeError: module 'tensorflow.python.framework.ops' has no attribute '_TensorLike'

Enrique Avina · Accepted Answer · 2020-05-30 02:24:56Z

56

For me, the fix was importing

from tensorflow.keras import Sequential
from tensorflow.keras.layers import Conv2D, Flatten, Dense

instead of

from keras import Sequential
from keras.layers import Conv2D, Flatten, Dense

There seems to be some weird compatibility issues between keras and tensorflow.keras

answered May 30, 2020 at 2:24

Enrique Avina

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1 Comment

Sergey Bushmanov Over a year ago

Why not sync tf and keras and import properly from keras?

Rene B. · Accepted Answer · 2021-05-10 08:00:01Z

6

You can use the following import command:

from tensorflow.keras.layers import ...

instead of the 'old' one:

from keras.layers import ....

As described here.

edited May 10, 2021 at 8:00

answered Jul 30, 2020 at 17:43

Rene B.

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1 Comment

武状元 Woa Over a year ago

Great! You made my day!

ask0ne · Accepted Answer · 2020-05-12 20:39:43Z

4

For those who stumbled on to this, reinstalling Keras and Tensorflow fixes the issue.

answered May 12, 2020 at 20:39

ask0ne

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1 Comment

Cadoiz Over a year ago

Actually, that is not entirely true. It depends on the combination of keras and tensorflow versions as keras was integrated into tf as tensorflow.keras. Nevertheless you could get lucky by updating.

groenhen · Accepted Answer · 2021-02-07 09:50:15Z

4

It is due to version incompatibility.
Update keras to the latest version compatible with tensorflow:

pip install --upgrade keras==x.x.x

edited Feb 7, 2021 at 9:50

groenhen

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answered Feb 7, 2021 at 8:46

vikram singh

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Comments

Ruli · Accepted Answer · 2021-03-04 21:50:30Z

4

!pip uninstall tensorflow 
!pip install tensorflow==1.14

!pip uninstall keras 
!pip install keras==2.2.4

Installing the above versions of keras and tensorflow have solved the problem for me.

edited Mar 4, 2021 at 21:50

Ruli

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answered Mar 4, 2021 at 8:23

Bharath Kumar

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1 Comment

John_Doe Over a year ago

Can't find that version of tensorflow available anymore (only from 2.2.0 onwards via pip)

Bendemann · Accepted Answer · 2020-12-06 12:00:06Z

1

Simply updating both TensorFlow as well as Keras might fix the issue

answered Dec 6, 2020 at 12:00

Bendemann

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Comments

Lakpa Tamang · Accepted Answer · 2020-12-23 07:21:14Z

1

It depends on how you are importing the preliminaries. If importing tensorflow as tf and importing keras within the tensorflow, you should start with tf.keras. otherwise, if you are importing directly keras.models then you can just start off with Input() or Conv().

answered Dec 23, 2020 at 7:21

Lakpa Tamang

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RKALM · Accepted Answer · 2023-03-23 16:52:54Z

0

Many people saying about updating TensorFlow or Keras, which is a good solution but in a few cases it might not be applicable, (depends on the situation). The idea of uninstalling and re-installing Keras and Tensorflow, by installing first TensorFlow, is one of the approaches that can solve the issue. For the ones that have the problem in Jupyter notebook, you may wish to close and reopen your Jupyter notebook, when you have installed the libraries, because sometimes it doesn't update properly.

answered Mar 23, 2023 at 16:52

RKALM

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