class_docstr: Apply the augmentors with randomized order.
class_docstr_tok: ["Apply","the","augmentors","with","randomized","order","."]
docstr: Args:
      aug_lists (list): list of augmentors.
          The augmentors are assumed to not change the shape of images.
docstr_tok: ["Args",":","aug_lists","(","list",")",":","list","of","augmentors",".","The","augmentors","are","assumed","to","not","change","the","shape","of","images","."]
code: def __init__(self, aug_lists):
      """
      Args:
          aug_lists (list): list of augmentors.
              The augmentors are assumed to not change the shape of images.
      """
      self._init(locals())
      super(RandomOrderAug, self).__init__()
  
imports: from .base import ImageAugmentor
  from .transform import NoOpTransform, TransformList, TransformFactory
label_desc: Use image node_id 1 to create a new RandomOrderAug object from inherited base classes: ImageAugmentor with example: obj = RandomOrderAug(aug_lists)