,

@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) |

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) |

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.