Tensorflow.js tf.all() 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. It also helps the developers to develop ML models in JavaScript language and can use ML directly in the browser or Node.js.

The tf. all() function is used to compute the logical and of elements across dimensions of a tf.Tensor.

Syntax:

tf.all(x, axis?, keepDims?)

Parameters:

• x: The input tensor.
• axis: The dimension(s) to reduce.
• keepDims: If true, retains reduced dimensions with size 1.

Return Value: It returns tf.Tensor

Example 1:

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
const gfg = tf.tensor1d([1, 2, 3], 'bool');

gfg.all().print();

Output:

Tensor
    true

Example 2:

Javascript

// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
const x = tf.tensor2d([1, 1, 0, 0], [4, 1], 'bool');

// Initialize the axis
const axis = 1;
x.all(axis).print();

Output:

Tensor
   [true, true, false, false]

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

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