RNN classification question

[jhagege]

Hi, first of all, great book !
Quick question: in chapter 5:

with tf.name_scope('linear_layer_weights') as scope:
    # Iterate across time, apply linear layer to all RNN outputs
    all_outputs = tf.map_fn(get_linear_layer, all_hidden_states)
    # Get last output
    output = all_outputs[-1]

Why do we calculate "all_outputs", since we are interested only by the last one ?
I'm not worried about optimization, just trying to make sure I understand well the process.

Thanks !

[Hezi-Resheff]

Hello! Thanks for your comment on the book.
I believe we did this to demonstrate the more general case. As you mentioned, optimization is another matter altogether.

Best,
Hezi