Tensorflow.js is an open-source library developed by Google brain team for running deep learning neural networks in the browser or node environment.
The .dispose() function is used to dispose a tensor to the memory.
Syntax:
tensor.dispose()
Parameters: this method don’t have any parameters
Return value: void
Example 1: In this example, we will dispose a tensor using tf.dispose function.
Javascript
// Importing the tensorflow.Js library import * as tf from "@tensorflow/tfjs" // Creating the tensor var tr = tf.tensor([1, 2, 3, 4, 5, 6, 7]); // Disposing the tensor tr.dispose() // Trying to print it now tr.print() |
Output:
An error occurred Tensor is disposed
Example 2: In this example, we will create a rank-2 tensor and try to print to before and after using tf.dispose function.
Javascript
// Importing the tensorflow.Js library import * as tf from "@tensorflow/tfjs" // Create a new tensor var tr2d = tf.tensor2d([1, 2, 3, 4], [2, 2]); // Print the tensor tr2d.print() // Dispose the tensor tr2d.dispose() // Try to print it again tr2d.print() |
Output:
"Tensor
[[1, 2],
[3, 4]]"
Example 3: In this example, we are creating a tensor with value, shape, and dataType. Then, we will dispose it using tf.dispose() function:
Javascript
// Importing the tensorflow.Js library import * as tf from "@tensorflow/tfjs" // Creating a value variable which // stores the value var value = ['1', '2', '3', '4', '5', '6'] // Creating a shape variable // which stores the shape var shape = [2, 3] // Creating a d_Type variable // which stores the data-type var d_Type = 'string' // Creating the tensor var tr3d = tf.tensor(value, shape, d_Type) // Printing the tensor tr3d.print() |
Output:
"Tensor
[['1', '2', '3'],
['4', '5', '6']]"
Reference: https://js.tensorflow.org/api/latest/#dispose
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