Tensorflow tf.add() Function
The tf.add() function returns the addition of two tf.Tensor objects element wise. The tf.Tensor object represents the multidimensional array of numbers.
Syntax:
tf.add( a, b )
Parameters:
- a: It contains the first tf.Tensor object that is to be added. The value of this parameter can be tf.TensorTypedArray|Array.
- b: It contains the second tf.Tensor object that is to be added into the 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 add() function to add // two Tensor objects arr1.add(arr2).print(); |
Output:
Tensor [15, 30, 45, 60, 75]
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 add() function to add // two Tensor objects arr1.add(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 add() function to add // Tensor object and a number arr.add(num).print(); |
Output:
Tensor [35, 40, 45, 50, 55]
Reference: https://js.tensorflow.org/api/latest/#add
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