How to Disable Tensorflow debugging information

If you are using Tensorflow in your projects, you may have noticed that it prints a lot of debugging information by default. While this can be helpful for troubleshooting purposes, it can also clutter up your console and make it difficult to see your actual output.

Fortunately, there is a way to disable the debugging information in Tensorflow. You can do this by setting the environment variable TF_CPP_MIN_LOG_LEVEL to 3 before running your code. This will suppress all logging messages except for errors.

Here’s a simple example of how you can disable the debugging information in Tensorflow:

        
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
        
# Your Tensorflow code here
...
        
    

By setting TF_CPP_MIN_LOG_LEVEL to 3, you can reduce the amount of logging information that Tensorflow prints to your console and focus on your actual output instead. This can make your code easier to read and debug, especially in larger projects.

So, if you are tired of seeing all the debugging information in Tensorflow, give this simple trick a try and improve your development experience!