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Tensorflow.js tf.slice() Function

  • Last Updated : 12 May, 2021

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 in Node.js.

The tf.slice() function is used to extract a slice from tf.Tensor starting at coordinates ‘begin’ and is of size ‘size’.

Syntax:

tf.slice (x, begin, size?)

Parameters:

  • x: the input tensor to slice form.
  • begin: the coordinates to start the slice from.
  • size: the size of the slice

Return Value: It returns tf.Tensor.



Example 1:

Javascript




// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 7]);
  
x.slice([0], [4]).print();

Output:

Tensor
    [1, 2, 3, 4]

Example 2:

Javascript




// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
const x = tf.tensor2d([1, 2, 3, 4, 5, 6], [2, 3]);
  
x.slice([1, 0], [1, 2]).print();

Output:

Tensor
     [1,2,3,4]

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

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