Python | Tensorflow logical_not() method
Last Updated :
10 Dec, 2018
Tensorflow is an open-source machine learning library developed by Google. One of its applications is to develop deep neural networks.
The module
tensorflow.math
provides support for many basic logical operations. Function
tf.logical_not()
[alias
tf.math.logical_not
or
tf.Tensor.__invert__
] provides support for the
logical NOT function in Tensorflow. It expects the input of bool type. The input type is tensor and if the input contains more than one element, an element-wise logical NOT is computed,
.
Syntax: tf.logical_not(x, name=None) or tf.math.logical_not(x, name=None) or tf.Tensor.__invert__(x, name=None)
Parameters:
x: A Tensor of type bool.
name (optional): The name for the operation.
Return type: A Tensor of bool type with the same size as that of x.
Code:
import tensorflow as tf
a = tf.constant([ True , False , False , True ], dtype = tf. bool )
b = tf.logical_not(a, name = 'logical_not' )
with tf.Session() as sess:
print ( 'Input type:' , a)
print ( 'Input a:' , sess.run(a))
print ( 'Return type:' , b)
print ( 'Output:' , sess.run(b))
|
Output:
Input type: Tensor("Const:0", shape=(4, ), dtype=bool)
Input: [ True False False True]
Return type: Tensor("logical_and:0", shape=(4, ), dtype=bool)
Output: [ False True True False]
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