How to import tensorflow in google colab - tensorflow

Question

Google Colab seems throwing the below error while trying to import Tensorflow, while it was working okey couple of weeks ago
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd
/usr/local/lib/python3.6/dist-packages/keras/__init__.py in <module>()
4 except ImportError:
5 raise ImportError(
----> 6 'Keras requires TensorFlow 2.2 or higher. '
7 'Install TensorFlow via `pip install tensorflow`')
8
ImportError: Keras requires TensorFlow 2.2 or higher. Install TensorFlow via `pip install tensorflow`
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
NOTE : am running on TPU and alreadt tried !pip install tensorflow but reuirements are satisfaied

Answer 1

This should suffice i feel
%tensorflow_version 2.x
import tensorflow as tf
This has always worked for me in Google Colab. I think the issue is that you are giving %tensorflow_version as 1.x please try changing that to 2.x

Answer 2

I had to re-order my imports like below and used keras version 2.3.0
%tensorflow_version 1.x
import sys
import codecs
import tensorflow as tf
!pip install keras-bert
!pip install keras-rectified-adam
!pip install keras==2.3.0
from tqdm import tqdm
from chardet import detect
from keras_radam import RAdam
from keras import backend as K
from keras_bert import load_trained_model_from_checkpoint
import os
import numpy as np
import pandas as pd