Tensorflow.js tf.env() Function

0 0 1 minute read

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

The .env() function is used to return the present environment i.e. a global entity. Moreover, the environment object includes the assessed attribute values along with the dynamic platform.

Syntax:

tf.env()

Parameters: This method do not holds any parameter.

Return Value: It returns tf.Environment.

Example 1:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Calling env() and getBool() method 
// along with its parameter 
const res = tf.env().getBool('WEBGL_RENDER_FLOAT32_ENABLED'); 
  
// Printing output 
console.log(res);

Output:

true

Example 2:

Javascript

// Importing the tensorflow.js library 
import * as tf from "@tensorflow/tfjs"
  
// Calling env() method's feature 
const res1 = tf.env().features; 
  
// Printing output 
console.log(res1); 

Output:

{
  "WEBGL_FORCE_F16_TEXTURES": false,
  "WEBGL_VERSION": 2,
  "WEBGL_RENDER_FLOAT32_CAPABLE": true,
  "WEBGL_RENDER_FLOAT32_ENABLED": true,
  "PROD": true,
  "DEBUG": true
}

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

Whether you’re preparing for your first job interview or aiming to upskill in this ever-evolving tech landscape, zambiatek Courses are your key to success. We provide top-quality content at affordable prices, all geared towards accelerating your growth in a time-bound manner. Join the millions we’ve already empowered, and we’re here to do the same for you. Don’t miss out – check it out now!