The tf.sub() function returns the subtraction of two tf.Tensor objects element wise. The tf.Tensor object represents the multidimensional array of numbers.
Syntax:
tf.sub( a, b )
Parameters:
- a: It contains the first tf.Tensor object. The value of this parameter can be tf.TensorTypedArray|Array.
- b: It contains the second tf.Tensor object that subtract from 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 arrayconst arr1 = tf.tensor1d([10, 20, 30, 40, 50]);const arr2 = tf.tensor1d([5, 10, 15, 20, 25]);// Use sub() function to subtract// two Tensor objectsarr1.sub(arr2).print(); |
Output:
Tensor
[5, 10, 15, 20, 25]
Example 2:
Javascript
// Importing the tensorflow.js library import * as tf from "@tensorflow/tfjs"// Declare the Tensor arrayconst arr1 = tf.tensor1d([30, 40, 50]);const arr2 = tf.tensor1d([5, 10, 15, 20, 25]);// Use sub() function to subtract// two Tensor objectsarr1.sub(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 arrayconst arr = tf.tensor1d([15, 10, 25, 20, 35]);// Declare a numberconst num = tf.scalar(30);// Use sub() function to subtract number// from Tensor objectarr.sub(num).print(); |
Output:
Tensor
[-15, -20, -5, -10, 5]
Reference: https://js.tensorflow.org/api/latest/#sub
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