def alltoall_pointtwise(xs, devices, split_axis, concat_axis):
  """MPI alltoall operation.

  Implementation of alltoall using pointwise communication.

  Args:
    xs: a list of n tf.Tensors
    devices: a list of n strings
    split_axis: an integer
    concat_axis: an integer

  Returns:
    a list of n Tensors
  """
  n = len(xs)
  if n == 1:
    return xs
  # [target, source]
  parts = mtf.transpose_list_of_lists(
      mtf.parallel(devices, tf.split, xs, [n] * n, axis=[split_axis] * n))
  return mtf.parallel(devices, tf.concat, parts, axis=[concat_axis] * n)
MPI alltoall operation.

  Implementation of alltoall using pointwise communication.

  Args:
    xs: a list of n tf.Tensors
    devices: a list of n strings
    split_axis: an integer
    concat_axis: an integer

  Returns:
    a list of n Tensors