module 'keras.src.backend' has no attribute 'convert_to_numpy' about tensorflow

[Efekahya]

This happened to me when I tried to fit the model. I don't have any real solutions for this but if it helps, restarting the kernel has fixed it for me.

[Venkat6871]

Hi @salmankdurrani ,

• I tried to run your code on colab using TF v2.16.1 and i am not facing any issue. Please find the gist here for reference.
• Here i imported the keras from tensorflow, It works fine for me.

import tensorflow.keras as keras

Thank you!

[github-actions]

This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you.

[salmankdurrani]

Thank you, I don't know why, but it did not work for me. I tried other ways to do it.

[rbouhal]

I am still facing a similar issue even with tf version 2.16.1, which version of keras should i have?

[Adityajha23]

i was facing the same issue and try to fix the issue from several website but did not find the right one and then at the end i tried chat-gpt and finally it worked for me.

here is what GPT told me :-

Update TensorFlow and Keras: Make sure you are using compatible versions of TensorFlow and Keras. You can update these packages using pip:

pip install --upgrade tensorflow keras

Use the correct method: If convert_to_numpy is not available, you might need to use an alternative method to convert your tensors to numpy arrays. You can use the numpy() method for TensorFlow tensors.

import tensorflow as tf

Create a TensorFlow tensor

tensor = tf.constant([1, 2, 3])

Convert the tensor to a numpy array

numpy_array = tensor.numpy()

print(numpy_array) # Output: [1 2 3]