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"Â Â // Calling env() and getBool() method // along with its parameter const res = tf.env().getBool('WEBGL_RENDER_FLOAT32_ENABLED'); Â Â // Printing output console.log(res); |
Output:
true
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs"Â Â // Calling env() method's feature const res1 = tf.env().features; Â Â // 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
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