How to Silence TensorFlow Debugging Messages?

How to Suppress TensorFlow Debugging Information

TensorFlow users may encounter extraneous console messages regarding loaded libraries and available devices. These messages can be intrusive, especially in production environments or when debugging Python code.

Solution: Disable Debugging Information

To disable this debugging information, set the TF_CPP_MIN_LOG_LEVEL environment variable:

<code class="python">import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf</code>

Explanation:

The TF_CPP_MIN_LOG_LEVEL environment variable controls the minimum severity level of messages that are printed. By setting it to '3', all messages with severity level less than 3 (i.e., INFO, WARNING, and ERROR) are suppressed.

Log Level Hierarchy:

• 0: All messages are printed (default behavior)
• 1: INFO messages are not printed
• 2: INFO and WARNING messages are not printed
• 3: INFO, WARNING, and ERROR messages are not printed

This solution has been tested and confirmed to work with TensorFlow versions 0.12 and 1.0.

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