How to do slice assignment in TensorFlow?

by maddison_wintheiser , in category: General Help , 7 months ago

How to do slice assignment in TensorFlow?

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2 answers

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by adelia , 7 months 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:

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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:

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[ 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 , 2 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.