def get_out_of_order(list_of_numbers):
    """Returns elements that break the monotonically non-decreasing trend.

  This is used to find instances of global step values that are "out-of-order",
  which may trigger TensorBoard event discarding logic.

  Args:
    list_of_numbers: A list of numbers.

  Returns:
    A list of tuples in which each tuple are two elements are adjacent, but the
    second element is lower than the first.
  """
    result = []
    for i in range(len(list_of_numbers)):
        if i == 0:
            continue
        if list_of_numbers[i] < list_of_numbers[i - 1]:
            result.append((list_of_numbers[i - 1], list_of_numbers[i]))
    return result
