@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
.
@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.