Tensorflow.js tf.logicalNot() Function

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

The tf.logicalNot() function is used to return a tensor of Boolean values for the result of element-wise NOT operation on the specified tensor of Boolean values.

Syntax:

tf.logicalNot(a, b)

Parameters: This function accepts two parameters which are illustrated below:

a: The first input tensor. It should have a Boolean datatype.
b: The second input tensor. It must have a Boolean datatype.

Return Value: It returns a tensor of Boolean values for the result of element-wise NOT operation on the specified tensor of Boolean values.

Example 1:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Initializing some tensors of boolean values 
const a = tf.tensor1d([false, true], 'bool'); 
const b = tf.tensor1d([true, false], 'bool'); 
  
// Calling the .logicalNot() function 
a.logicalNot().print(); 
b.logicalNot().print();

Output:

Tensor
   [true, false]
Tensor
   [false, true]

Example 2:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Using tensors of boolean values as 
// the parameters of .logicalNot() function 
tf.tensor1d([false, false], 'bool').logicalNot().print(); 
tf.tensor1d([true, true], 'bool').logicalNot().print();

Output:

Tensor
   [true, true]
Tensor
   [false, false]

Reference: https://js.tensorflow.org/api/latest/#logicalNot

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