class_docstr: Randomly shuffle channel order of a given image
class_docstr_tok: ["Randomly","shuffle","channel","order","of","a","given","image"]
code: def __init__(self):
      super().__init__()
  
imports: import math
  from typing import Any, Dict, Optional, Tuple, Union
  import numpy
  import torch
  from PIL.Image import Image
  from torch.nn.functional import pad
  from torchvision.transforms import functional
  from torchvision.transforms import transforms
  from ..functional.pytorch import random_shadow
label_desc: Use image node_id 1 to create a new ChannelShuffle object from inherited base classes: torch.nn with example: obj = ChannelShuffle()