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Tensorflow tf.mul() Function

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  • Last Updated : 16 Jun, 2022
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The tf.mul() function returns the multiplication of two tf.Tensor objects element wise. The tf.Tensor object represents the multidimensional array of numbers.

Syntax:

tf.mul( a, b )

Parameters:

  • a: It contains the first tf.Tensor object that multiplied by second tf.Tensor object element-wise. The value of this parameter can be tf.TensorTypedArray|Array.
  • b: It contains the second tf.Tensor object that multiplied by first tf.Tensor object. The value of this parameter can be (tf.Tensor|TypedArray|Array). The type of this parameter is same as type of a.

Return Value: This function returns the tf.Tensor object.

Example 1:

Javascript




// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
 
// Declare the Tensor array
const arr1 = tf.tensor1d([10, 20, 30, 40, 50]);
const arr2 = tf.tensor1d([5, 10, 15, 20, 25]);
 
// Use mul() function to multiply
// two Tensor objects
arr1.mul(arr2).print();


Output:

Tensor
    [50, 200, 450, 800, 1250]

Example 2:

Javascript




// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
 
// Declare the Tensor array
const arr1 = tf.tensor1d([30, 40, 50]);
const arr2 = tf.tensor1d([5, 10, 15, 20, 25]);
 
// Use mul() function to multiply
// two Tensor objects
arr1.mul(arr2).print();


Output:

An error occurred on line: 7
Operands could not be broadcast together with shapes 3 and 5.

Example 3:

Javascript




// Importing the tensorflow.js library
import * as tf from "@tensorflow/tfjs"
 
// Declare the Tensor array
const arr = tf.tensor1d([5, 10, 15, 20, 25]);
 
// Declare a number
const num = tf.scalar(30);
 
// Use mul() function to multiply
// Tensor object and a number
arr.mul(num).print();


Output:

Tensor
    [150, 300, 450, 600, 750]

Reference: https://js.tensorflow.org/api/latest/#mul


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