TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
get_logger() is used to get the logger instance.
Syntax: tensorflow.get_logger()
Parameters: It doesn’t accept any parameters.
Returns: It returns the logger instance.
Example 1:
Python3
# Importing the library import tensorflow as tf # Getting logger instance logger = tf.get_logger() # Checking if propagation is enabled res = logger.propagate # Printing the result print ( 'res: ' ,res) |
Output:
res: True
Example 2:
Python3
# Importing the library import tensorflow as tf # Getting logger instance logger = tf.get_logger() # Disabling the propagation logger.propagate = False # Checking if propagation is enabled res = logger.propagate # Printing the result print ( 'res: ' ,res) |
Output:
res: False