generate_music_generator.py

def generateSongs(self, songs):
    with tf.Session() as sess:
        init = tf.global_variables_initializer()
        sess.run(init)
        for epoch in tqdm(range(self.num_of_epochs)):
            for song in songs:
                song = np.array(song)
                song = song[:int(np.floor(song.shape[0]/self.num_timesteps)*self.num_timesteps)]
                song = np.reshape(song, [song.shape[0]/self.num_timesteps, song.shape[1]*self.num_timesteps])
                for i in range(1, len(song), self.batch_size): 
                    tr_x = song[i:i+self.batch_size]
                    sess.run(self._updates, feed_dict={self._input: tr_x})

        sample = self.gibsSampling(1).eval(session=sess, feed_dict={self._input: np.zeros((50, self._visible_dim))})
        for i in range(sample.shape[0]):
            if not any(sample[i,:]):
                continue
            matrix = np.reshape(sample[i,:], (self.num_timesteps, 2*self._midi_coordinator._span))
            self._midi_coordinator.matrixToMidi(matrix, "song_{}".format(i))