Python – tensorflow.math.equal()
Last Updated :
28 Jul, 2020
TensorFlow is open-source Python library designed by Google to develop Machine Learning models and deep learning neural networks.
equal() is used to perform element by equality comparison. It performs argument broadcasting before applying the comparison.
Syntax: tensorflow.math.equal( x, y, name)
Parameters:
- x: It can be a tensor or sparse tensor or indexed slices.
- y: It can be a tensor or sparse tensor or indexed slices.
- name(optional): It defines the name for the operation.
Returns: It returns a bool tensor.
Example 1: In this example broadcasting is performed.
Python3
import tensorflow as tf
a = tf.constant([ 6 , 8 , 12 , 2 ], dtype = tf.float64)
b = ( 2 )
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.equal(x = a, y = b)
print ( 'Result: ' , res)
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Output:
a: tf.Tensor([ 6. 8. 12. 2.], shape=(4, ), dtype=float64)
b: 2
Result: tf.Tensor([False False False True], shape=(4, ), dtype=bool)
Example 2:
Python3
import tensorflow as tf
a = tf.constant([ 6 , 8 , 12 , 4 ], dtype = tf.float64)
b = tf.constant([ 2 , 8 , 12 , 7 ], dtype = tf.float64)
print ( 'a: ' , a)
print ( 'b: ' , b)
res = tf.math.equal(x = a, y = b)
print ( 'Result: ' , res)
|
Output:
a: tf.Tensor([ 6. 8. 12. 4.], shape=(4, ), dtype=float64)
b: tf.Tensor([ 2. 8. 12. 7.], shape=(4, ), dtype=float64)
Result: tf.Tensor([False True True False], shape=(4, ), dtype=bool)
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