Tensorflow.js tf.keep() Function
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 .keep() function is used to hold a tensor input that is formed within a tf.tidy() method from being spontaneously discarded.
Syntax:
tf.keep(result)
Parameters:
- result: It is the stated tensor input which is to be held from being discarded.
Return Value: It returns tf.Tensor object.
Example 1:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Declaring a variable let res1; // Calling tidy method const res2 = tf.tidy(() => { // Defining result parameter const result = tf.scalar(121); // Calling tf.keep() method res1 = tf.keep(result.sqrt()); }); // Printing output res1.print(); |
Output:
Tensor
11
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs" // Declaring a variable let res1; // Calling tidy method const res2 = tf.tidy(() => { // Calling tf.keep() method with its // parameter res1 = tf.keep(tf.tensor1d( [1.3, 0.5, 0, NaN, null, -.5]).cos()); }); // Printing output res1.print(); |
Output:
Tensor
[0.2675007, 0.8775977, 1, NaN, 1, 0.8775977]
Reference: https://js.tensorflow.org/api/latest/#keep
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