using System;
using System.Collections.Generic;
using System.Text;
using Tensorflow.Keras;
using Tensorflow.NumPy;
using static Tensorflow.Binding;
using static Tensorflow.KerasApi;

namespace Tensorflow
{
    public class SimpleRnnTest
    {
        public void Run()
        {
            var inputs = np.random.random((6, 10, 8)).astype(np.float32);
            //var simple_rnn = tf.keras.layers.SimpleRNN(4);
            //var output = simple_rnn.Apply(inputs);  // The output has shape `[32, 4]`.

            var simple_rnn = tf.keras.layers.SimpleRNN(4, return_sequences: true, return_state: true);

            // whole_sequence_output has shape `[32, 10, 4]`.
            // final_state has shape `[32, 4]`.
            var (whole_sequence_output, final_states) = simple_rnn.Apply(inputs);
        }
    }
}