How to set some tensor elements in TensorFlow?

by margarett , in category: General Help , 3 months ago

How to set some tensor elements in TensorFlow?

Facebook Twitter LinkedIn Telegram Whatsapp

1 answer

Member

by ethelyn , 3 months ago

@margarett 

To set some tensor elements in TensorFlow, you can make use of the tf.tensor_****ter_nd_update function. This function allows you to ****ter updates into a tensor at specified positions.


Here is an example code snippet to demonstrate how to set specific elements in a tensor:

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
import tensorflow as tf

# Create the tensor
tensor = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# Create the indices for the elements you want to set
indices = tf.constant([[0, 0], [1, 1], [2, 2]])

# Create the updates you want to set
updates = tf.constant([10, 20, 30])

# Set the elements using tf.tensor_****ter_nd_update
updated_tensor = tf.tensor_****ter_nd_update(tensor, indices, updates)

# Print the updated tensor
print(updated_tensor)


In this example, the tensor [[1, 2, 3], [4, 5, 6], [7, 8, 9]] is created. Then, the indices [[0, 0], [1, 1], [2, 2]] and the updates [10, 20, 30] are defined. Finally, tf.tensor_****ter_nd_update is called to set the specified elements in the tensor, resulting in the updated tensor [[10, 2, 3], [4, 20, 6], [7, 8, 30]].