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()

{

tf.keras = new KerasInterface();

var inputs = np.random.random((32, 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]`.

if (output.shape == (32, 4))

{

}

/*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]`.

whole_sequence_output, final_state = simple_rnn(inputs)*/

}

}

}