class_docstr: Apply Random color distortions to the input image.
  There are multiple different ways of applying these distortions.
  This implementation follows SimCLR - https://arxiv.org/abs/2002.05709
  It randomly distorts the hue, saturation, brightness of an image and can
  randomly convert the image to grayscale.
code: def __call__(self, image):
      return self.transforms(image)
  
file_path: vissl/vissl/data/ssl_transforms/img_pil_color_distortion.py
imports: import logging
  from typing import Any, Dict
  import torchvision.transforms
  from classy_vision.dataset.transforms import register_transform
  from classy_vision.dataset.transforms.classy_transform import ClassyTransform
label_desc: Use image node_id 2 for calling the ImgPilColorDistortion obj's underlying member method code with example usage: obj.__call__(image) and returns: self