Build RNN
| def build_rnn(cell, inputs): | |
| outputs, state = tf.nn.dynamic_rnn(cell, inputs, dtype=tf.float32) | |
| final_state = tf.identity(state, name="final_state") | |
| return outputs, final_state |
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