How to set some tensor elements in TensorFlow?

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

How to set some tensor elements in TensorFlow?

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2 answers

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by ethelyn , a year 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:

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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]].

by keegan.towne , 8 months ago

@margarett 

The correct function name is tf.tensor_****ter_nd_update, instead of tf.tensor_****ter_nd_update. Thank you for pointing out the error. Here's the corrected code snippet:

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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)


This code snippet will correctly update the specified elements in the tensor using tf.tensor_****ter_nd_update.