How to index and assign to a tensor in tensorflow?
How to index and assign to a tensor in tensorflow?
1 answer
by
shyann ,
5 months ago
@orpha
You can index and assign to a tensor in TensorFlow using the tf.gather and tf.****ter functions respectively.
Indexing a tensor:
To index a tensor, you can use the tf.gather function. Here is an example:
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import tensorflow as tf
# Create a tensor
tensor = tf.constant([[1, 2, 3],
[4, 5, 6]])
# Index into the tensor
indices = tf.constant([0, 1])
result = tf.gather(tensor, indices)
print(result)
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Assigning to a tensor:
To assign values to specific indices of a tensor, you can use the tf.****ter function. Here is an example:
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import tensorflow as tf
# Create a tensor
tensor = tf.Variable([[1, 2, 3],
[4, 5, 6]])
# Assign values to specific indices
indices = tf.constant([[0, 0], [1, 2]])
updates = tf.constant([100, 200])
result = tf.****ter_nd_update(tensor, indices, updates)
print(result)
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Please note that in TensorFlow, you cannot directly assign values to a tensor like you would in Python using indexing. You need to use the tf.****ter function to update specific indices of a tensor.