Python – tensorflow.math.not_equal()
Last Updated :
03 Apr, 2023
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
not_equal() is used to find element wise truth value of x!=y. It supports broadcasting
Syntax: tensorflow.math.not_equal( x, y, name)
Parameters:
- x: It is a tensor. Allowed dtypes are float32, float64, int32, uint8, int16, int8, int64, bfloat16, uint16, half, uint32, uint64.
- y: It is a tensor of same dtype as x.
- name(optional): It defines the name of the operation
Returns: It returns a tensor of type bool.
Example 1:
Python3
import tensorflow as tf
a = tf.constant([ 7 , 8 , 13 , 11 ], dtype = tf.float64)
b = tf.constant([ 2 , 8 , 13 , 5 ], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.not_equal(x = a, y = b)
print ( 'Result: ' , res)
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Output:
a: tf.Tensor([ 7. 8. 13. 11.], shape=(4, ), dtype=float64)
b: tf.Tensor([ 2. 8. 13. 5.], shape=(4, ), dtype=float64)
Result: tf.Tensor([ True False False True], shape=(4, ), dtype=bool)
Example 2: In this example broadcasting will be performed on input.
Python3
import tensorflow as tf
a = tf.constant([ 7 , 9 , 13 , 11 ], dtype = tf.float64)
b = ( 9 )
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.not_equal(x = a, y = b)
print ( 'Result: ' , res)
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Output:
a: tf.Tensor([ 7. 9. 13. 11.], shape=(4, ), dtype=float64)
b: 9
Result: tf.Tensor([ True False True True], shape=(4, ), dtype=bool)
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