Tensorflow.js tf.logicalOr() Function
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.logicalOr() function is used to return a tensor of Boolean values for the result of element-wise OR operation on the two specified tensors of Boolean values.
Syntax:
tf.logicalOr(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 should have a Boolean datatype.
Return Value: It returns a tensor of Boolean values for the result of element-wise OR operation on the two specified tensors of Boolean values.
Example 1:
Javascript
import * as tf from "@tensorflow/tfjs"
const a = tf.tensor1d([ false , true ], 'bool' );
const b = tf.tensor1d([ true , false ], 'bool' );
a.logicalOr(b).print();
|
Output:
Tensor
[true, true]
Example 2:
Javascript
import * as tf from "@tensorflow/tfjs"
tf.tensor1d([ false , true , false , true ], 'bool' ).logicalOr(
tf.tensor1d([ false , true , true , false ], 'bool' )).print();
|
Output:
Tensor
[false, true, true, true]
Reference: https://js.tensorflow.org/api/latest/#logicalOr
Last Updated :
10 May, 2021
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