[Solved] AttributeError: module ‘tensorflow._api.v1.compat.v2’ has no attribute ‘__internal__’ google colab error

Hello Guys, How are you all? Hope You all Are Fine. I am running a tensorflow model on google colab. Today, I got this error: AttributeError: module ‘tensorflow._api.v1.compat.v2’ has no attribute ‘internal‘ google colab error in Python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How AttributeError: module ‘tensorflow._api.v1.compat.v2’ has no attribute ‘internal‘ google colab error Occurs ?

I am running a tensorflow model on google colab. Today, I got this error:

      File "/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py", line 49, in populate_deserializable_objects
        LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
      File "/usr/local/lib/python3.7/dist-packages/tensorflow_core/python/util/module_wrapper.py", line 193, in __getattr__
        attr = getattr(self._tfmw_wrapped_module, name)
    AttributeError: module 'tensorflow._api.v1.compat.v2' has no attribute '__internal__'

How To Solve AttributeError: module ‘tensorflow._api.v1.compat.v2’ has no attribute ‘internal‘ google colab error?

Solution 1

this parameter works for me

!pip3 uninstall keras-nightly
!pip3 uninstall -y tensorflow
!pip3 install keras==2.1.6
!pip3 install tensorflow==1.15.0
!pip3 install h5py==2.10.0

Solution 2

running this code to downgrade your tensorflow

!pip install tensorflow==1.13.0

I replaced it with:

%tensorflow_version 1.x

Everything else remains the same. It worked!

solution 3

try this one :

!pip uninstall keras-nightly

!pip install h5py==2.10.0

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you?

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