Send the inputs to the experts.

    Args:
      inp: a `Tensor` of shape "[batch, length, depth]`
    Returns:
      a tensor with shape [batch, num_experts, expert_capacity, depth]

def dispatch(self, inp):
    """Send the inputs to the experts.

    Args:
      inp: a `Tensor` of shape "[batch, length, depth]`
    Returns:
      a tensor with shape [batch, num_experts, expert_capacity, depth]
    """
    inp = tf.reshape(inp, [self._batch * self._length, -1])
    # [batch, num_experts, expert_capacity, depth]
    ret = tf.gather(inp, self._flat_indices)
    return ret