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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