how to solve this error ? : AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'experimental' about tensorflow

[DineshNeupane]

workaround is to limit the tensorflow version and comment out keras from object detection>packages>tf2>setup.py as:

 'tf-models-official >=2.5.1, <2.16.0',
    'tensorflow_io',
    #'keras',

[Venkat6871]

Hi @Rajcr2 ,
-Sorry for the delay, Make sure you have the latest versions of TensorFlow and TensorFlow Object Detection API installed.

pip install --upgrade tensorflow
pip install --upgrade tf-models-official

-Verify the versions of TensorFlow and Keras you have installed to ensure compatibility.

import tensorflow as tf
print(tf.__version__)
print(tf.keras.__version__)

-In your script model_builder_tf2_test.py, ensure that you're importing the correct modules and classes.
-Ensure that your environment is correctly set up with the necessary libraries and dependencies. You might need to restart your environment or kernel after making changes.
Thank you!

[google-ml-butler]

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[Rajcr2]

after installing tf.nightly same issue is occuring.

from tensorflow.keras.layers.experimental import einsum
print("Done")

ModuleNotFoundError Traceback (most recent call last)
in <cell line: 1>()
----> 1 from tensorflow.keras.layers.experimental import einsum
2 print("Done")

ModuleNotFoundError: No module named 'tensorflow.keras.layers.experimental'

How to reslove this.

[nishii-2]

hey how do i ensure whether i'm importing the correct modules and classes in the script model_builder_tf2_test.py?

[girraj96]

Same issue. @DineshNeupane commenting keras also not working.

[nishii-2]

Did you solve it?

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[neverexz]

try this, helped for me
pip install tensorflow==2.13.1

[SuryanarayanaY]

Hi @Rajcr2 ,

The issue seems to be a compatible issues related to TF/Keras version vs tf_models version. As Keras3 now built to support multiple backends there are some changes in design. Please provide more context and environment details like which TF/keras version,tf-models-official version etc for more details.

Please check setup.py of models repo for TF version compatibility.