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)