Tensorflow.js tf.ones() Function

Tensorflow.js is an open-source library for running machine learning models and deep learning neural networks in the browser or node environment. The tf.ones() function is used to create a new tensor where all elements are set to 1.

Syntax:

tf.ones(shape, dtype, name)

Parameters:

• shape: It takes the shape of the tensor. It can be a multi-dimensional array or an int32
• dtype: It takes the data type of the 1 we are inserting. It is by default set to float32, however, it can be int32 as well. It is an optional parameter.
• name: It takes the name of the operation we are performing. It is None by default. It is an optional parameter.

Return Value: It returns a tensor with the same data type.

Example 1: In this example, we will create a 2D Tensor with all values set to 1 of integer data type.

// Import tensorflow
import tensorflow as tf

// Get a Tensor
val = tf.ones([10, 10], tf.int32)

// Print the Tensor
print(val)

Output:

tf.Tensor(
[[1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]
 [1 1 1 1 1 1 1 1 1 1]], shape=(10, 10), dtype=int32)

Example 2: In this example, we will create a 1D Tensor with all values set to 1 of float data type.

// Import tensorflow
import tensorflow as tf

// Get a Tensor
val = tf.ones(5, tf.float32)

// Print a Tensor
print(val)

Output:

tf.Tensor([1. 1. 1. 1. 1.], shape=(5,), dtype=float32)