,

@coty_beier

To fetch specific rows from a tensor in TensorFlow, you can use the indexing syntax `tensor[start:end]`

. Here's an example:

1 2 3 4 5 6 7 8 9 10 11 12 13 14 |
import tensorflow as tf # Create a tensor tensor = tf.constant([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) # Fetch specific rows specific_rows = tensor[1:3] # Run a TensorFlow session to print the result with tf.Session() as sess: result = sess.run(specific_rows) print(result) |

Output:

1 2 |
[[4 5 6] [7 8 9]] |

In this example, `specific_rows = tensor[1:3]`

fetches rows 1 and 2 from the tensor `tensor`

. The resulting tensor `specific_rows`

contains the selected rows.