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Tensorflow.js tf.registerBackend() Function

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  • Last Updated : 24 Jun, 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.

Tensorflow.js tf.registerBackend() function is used to register a global backend at the time of importing module files. The registered backend is used for modular builds.

Syntax:

tf.registerBackend (name, factory, priority?)

Parameters:

  • name (string): It specifies name of the backend to be registered.
  • factory: It specifies the backend factory function. This function returns a backend instance or a promise of an instance.
  • priority (number): It specifies the priority of this backend. More importance is given to a backend with a higher priority. Default value of this parameter is 1.

Return value: It returns a boolean value.

Example 1:

Javascript




// Importing the tensorflow.js library 
const tf = require("@tensorflow/tfjs"); 
  
// Try to register a 'webgl' backend
const status = tf.registerBackend("webgl")
  
// Print status
console.log(status)

Output:

true

Example 2:

Javascript




// Importing the tensorflow.js library 
const tf = require("@tensorflow/tfjs"); 
  
// Try to register a 'cpu' backend
const status = tf.registerBackend("cpu")
  
// Print status
console.log(status)

Output:

false

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

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