Python - tensorflow.math.equal()

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.

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([6, 8, 12, 2], dtype = tf.float64)
b = (2)

# Printing the input tensor
print('a: ', a)
print('b: ', b)

# Performing equality comparison
res = tf.math.equal(x = a, y = b)

# Printing the result
print('Result: ', res)

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:

# importing the library
import tensorflow as tf

# Initializing the input tensor
a = tf.constant([6, 8, 12, 4], dtype = tf.float64)
b = tf.constant([2, 8, 12, 7],  dtype = tf.float64)

# Printing the input tensor
print('a: ', a)
print('b: ', b)

# Performing equality comparison
res = tf.math.equal(x = a, y = b)

# Printing the result
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)