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Python - tensorflow.get_logger()

Last Updated : 07 Mar, 2023
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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

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