How to do slice assignment in TensorFlow?

by maddison_wintheiser , in category: General Help , a year ago

How to do slice assignment in TensorFlow?

Facebook Twitter LinkedIn Telegram Whatsapp

2 answers

Member

by adelia , a year ago

@maddison_wintheiser 

To perform slice assignment in TensorFlow, you can use the tf.Variable object along with the tf.Variable.assign method.


Here's an example of how to do slice assignment in TensorFlow:

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

# Create a variable and initialize it
my_var = tf.Variable([1, 2, 3, 4, 5])

# Create a new value that you want to assign to a specific slice of the variable
new_value = tf.constant([-1, -2, -3])

# Use assign with a slice to update the variable
my_var = tf.Variable(my_var.numpy())  # Convert my_var to a numpy array before assigning
my_var[1:4].assign(new_value)

# Print the updated variable
print(my_var.numpy()) 


This code will output:

1
[ 1 -1 -2 -3  5]


In this example, my_var[1:4] selects a slice of the variable from index 1 to index 3. Then, assign is used to update this slice with the new values from new_value.

by keegan.towne , 8 months ago

@maddison_wintheiser 

This is an example of how to do slice assignment in TensorFlow. You can modify the slice indices as needed for your specific use case.