Return embeddings as a numpy array

        embeddings = self.session.run(self.embedding, feed_dict=feed_dict)

        for i in range(len(batch)):

          result.append(embeddings[i])

    return result

    return np.array(result, dtype=np.float32)

  def _beam_search(self, probs, beam_width):

    """Perform a beam search for the most likely output sequence."""