code: def adjust_brightness_torchvision(img, factor):
      if factor == 0:
          return np.zeros_like(img)
      elif factor == 1:
          return img
  
      if img.dtype == np.uint8:
          return _adjust_brightness_torchvision_uint8(img, factor)
  
      return clip(
          img * factor, img.dtype, MAX_VALUES_BY_DTYPE[img.dtype]
      )
  
imports: from __future__ import division
  from typing import Optional, Sequence, Union
  from warnings import warn
  import cv2
  import numpy
  import skimage
  from albumentations import random_utils
  from albumentations.augmentations.utils import MAX_VALUES_BY_DTYPE, _maybe_process_in_chunks, clip, clipped, ensure_contiguous, is_grayscale_image, is_rgb_image, non_rgb_warning, preserve_channel_dim, preserve_shape
label_desc: Use image node_id 50 for calling a global function with example usage: adjust_brightness_torchvision(img, factor) and returns: clip, np, _adjust_brightness_torchvision_uint8, img