Tensorflow.js tf.cosh() Function

Tensorflow.js tf.dispose() Function

Last Updated : 22 Apr, 2022

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

Tensorflow.js tf.cosh() Function

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