Gate values corresponding to the examples in the per-expert `Tensor`s.

    Returns:
      a list of `num_experts` one-dimensional `Tensor`s of type `tf.float32`.

def expert_to_gates(self):
    """Gate values corresponding to the examples in the per-expert `Tensor`s.

    Returns:
      a list of `num_experts` one-dimensional `Tensor`s of type `tf.float32`.
    """
    return self._ep(
        tf.concat,
        transpose_list_of_lists(
            self._dp(lambda d: d.expert_to_gates(), self._dispatchers)), 0)