Python – tensorflow.math.maximum()

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TensorFlow is open-source python library designed by Google to develop Machine Learning models and deep learning neural networks. maximum() is used to find element wise maximum of x and y. Specifically, it returns x > y ? x : y.

Syntax: tf.math.maximum(x, y, name)

Parameter:

x: It’s the input tensor. Allowed dtype for this tensor are bfloat16, half, float32, float64, int32, int64.

y: It’s the input tensor of same dtype as x.

name(optional): It defines the name for the operation.

Returns: It returns a tensor of same dtype as x.

Example 1:

Python3

# Importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([.2, .5, .7, 1], dtype = tf.float64)
b = tf.constant([.1, .3, 1, 5], dtype = tf.float64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Calculating result
res = tf.math.maximum(x = a, y = b)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor([0.2 0.5 0.7 1. ], shape=(4, ), dtype=float64)
b:  tf.Tensor([0.1 0.3 1.  5. ], shape=(4, ), dtype=float64)
Result:  tf.Tensor([0.2 0.5 1.  5. ], shape=(4, ), dtype=float64)

Example 2:

Python3

# importing the library
import tensorflow as tf
 
# Initializing the input tensor
a = tf.constant([-2, -5, 7, 1], dtype = tf.int64)
b = tf.constant([-1, -6, 8, 0], dtype = tf.int64)
 
# Printing the input tensor
print('a: ', a)
print('b: ', b)
 
# Calculating result
res = tf.math.maximum(x = a, y = b)
 
# Printing the result
print('Result: ', res)

Output:

a:  tf.Tensor([-2 -5  7  1], shape=(4, ), dtype=int64)
b:  tf.Tensor([-1 -6  8  0], shape=(4, ), dtype=int64)
Result:  tf.Tensor([-1 -5  8  1], shape=(4, ), dtype=int64)