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Tensorflow.js tf.abs() Function

  • Last Updated : 10 May, 2021

Tensorflow.js is an open-source library developed by Google for running machine learning models as well as deep learning neural networks in the browser or node environment.

The .abs() function is used to find the absolute value of the stated element.

Syntax :  

tf.abs (x)


  • x: It is the tensor input element whose absolute value is to be computed.

Return Value: It returns the absolute value of the given element.

Example 1: In this example, we are defining an input tensor of integer type and then printing the absolute value of it. For creating an input tensor we are utilizing the .tensor1d() method and in order to print the output we are using the .print() method.  


// Defining tensor input elements
const y = tf.tensor1d([-7, 8, -9, 13]);
// Calling abs() method and
// printing the output


    [7, 8, 9, 13]

Example 2: In this example, float type values are considered as tensor input and the parameter is passed directly to the abs function.


// Defining tensor input elements
const z = tf.tensor1d([-3.91, 5.73]);
// Calling abs() method and directly
// passing tensor inputs
res = tf.abs(z);
// Prints output


    [3.9100001, 5.73]


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