How to assign value to a EagerTensor slice?

In TensorFlow, you can assign a value to a slice of an EagerTensor by using the indexing operator and the assignment operator (=). Here's an explanation with examples:

Example 1: Assigning a Value to a Single Element

import tensorflow as tf
 
# Create an EagerTensor
x = tf.constant([1, 2, 3, 4, 5])
 
# Assign a new value to a single element
x[2].assign(10)
 
print(x.numpy())  # Output: [1 2 10 4 5]

Explanation:

1. Create an EagerTensor x using tf.constant.
2. Use the indexing operator [2] to access the element at index 2 of x.
3. Call the assign() method on the element at index 2 and provide the new value 10.
4. Print the updated EagerTensor using x.numpy(), which returns the tensor values as a NumPy array.

Example 2: Assigning a Value to a Slice of Elements

import tensorflow as tf
 
# Create an EagerTensor
x = tf.constant([1, 2, 3, 4, 5])
 
# Assign a new value to a slice of elements
x[1:4].assign([10, 20, 30])
 
print(x.numpy())  # Output: [1 10 20 30 5]

Explanation:

1. Create an EagerTensor x using tf.constant.
2. Use the indexing operator [1:4] to access a slice of elements from index 1 to 3 (exclusive) of x.
3. Call the assign() method on the slice and provide a new list of values [10, 20, 30].
4. Print the updated EagerTensor using x.numpy().

In both examples, the assignment operation modifies the original EagerTensor in-place, updating the specified element or slice with the new value. The changes made are reflected in the tensor itself.

Note: It's important to remember that EagerTensor objects are mutable, meaning they can be modified directly. However, this assignment behavior may not be available for all types of tensors in TensorFlow, such as those created using the graph mode.