[Solved] module ‘tensorflow.compat.v2.__internal__’ has no attribute ‘tf2’

Hello Guys, How are you all? Hope You all Are Fine. Today when I run my project I found module ‘tensorflow.compat.v2.internal’ has no attribute ‘tf2’ in Python. So Here I am Explain to you all the possible solutions here.

Without Wasting your time, Lets start This Article to Solve This Error.

How module ‘tensorflow.compat.v2__.internal__’ has no attribute ‘tf2’ Error Occurs ?

Today I am trying to use TensorFlow as backend yesterday I can use it, but today when I use it to show some error message when I’m trying to import Keras. it shows this error:

<ipython-input-3-9c78a7be919d> in <module>()
      5 
      6 import cv2
----> 7 import keras
      8 import numpy as np
      9 import matplotlib.pyplot as plt

8 frames

/usr/local/lib/python3.7/dist-packages/keras/initializers/__init__.py in populate_deserializable_objects()
     47 
     48   LOCAL.ALL_OBJECTS = {}
---> 49   LOCAL.GENERATED_WITH_V2 = tf.__internal__.tf2.enabled()
     50 
     51   # Compatibility aliases (need to exist in both V1 and V2).

AttributeError: module 'tensorflow.compat.v2.__internal__' has no attribute 'tf2'

How To Solve module ‘tensorflow.compat.v2.__internal__’ has no attribute ‘tf2’ Error ?

Solution 1

Use this solution instead of what are you trying.

!pip install -U -q segmentation-models
!pip install -q tensorflow==2.1
!pip install -q keras==2.3.1
!pip install -q tensorflow-estimator==2.1.

## Imports libs
import os
os.environ['CUDA_VISIBLE_DEVICES'] = '0'
os.environ["SM_FRAMEWORK"] = "tf.keras"

from tensorflow import keras
import segmentation_models as sm

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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