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Tensorflow.js tf.split() Function

Tensorflow.js tf.print() Function

Last Updated : 10 May, 2021

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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. It helps developers to develop ML models in JavaScript, and use ML directly in the browser or in Node.js.

The tf.print() function is used to print information about the tf.tensor along with its data.

Syntax:

tf.print (x, verbose)

Parameter:

x: The tensor which is to be printed
verbose: It is an optional argument. These are the boolean parameter which decides whether to print the verbose information about the Tensor, including dtype and size.

Return: It returns nothing i.e, void.

Example 1:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Setting the value of verbose 
const verbose = true; 
  
// Creating the tensor 
var val = tf.tensor2d([8, 2, 5, 6], [2, 2]); 
  
// Printing the tensor 
val.print(verbose)

Output:

Tensor     dtype: float32     rank: 2     shape: [2,2]     values:        [[8, 2],         [5, 6]]

Example 2:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Setting the value of verbose 
const verbose = false; 
  
// Creating the tensor 
var val = tf.tensor2d([8, 2, 5, 6], [2, 2]); 
  
// Printing the tensor 
val.print(verbose)

Output:

Tensor     [[8, 2],      [5, 6]]

Reference: https://js.tensorflow.org/api/3.4.0/#print

Tensorflow.js tf.split() Function

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Article Tags :

JavaScript
Web Technologies
Tensorflow.js

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