more work

  y: tf.Tensor

    Input Tensor

  """

  denom = (backend.sqrt(backend.sum(tf.square(x)) * backend.sum(tf.square(y))) +

           backend.epsilon())

  return backend.dot(x, tf.transpose(y)) / denom

  x_reshape = tf.reshape(backend.sum(tf.square(x), axis=1), (-1, 1))

  y_reshape = tf.reshape(backend.sum(tf.square(y), axis=1), (1, -1))

  backend.dot(, ) + backend.epsilon()

  denom = backend.sqrt()

  return tf.math.divide(backend.dot(x, tf.transpose(y)), denom)

class AttnLSTMEmbedding(tf.keras.layers.Layer):