code: def _adjust_saturation(
      video: torch.Tensor, factor: float, **kwargs
  ) -> torch.Tensor:
      """
      Adjust the saturation of a video.
  
      Args:
          video (torch.Tensor): Video tensor with shape (T, C, H, W).
          factor (float): How much to adjust the saturation. 0 will give a black and
              white video, 1 will give the original video while 2 will enhance the
              saturation by a factor of 2.
      """
      return torchvision.transforms.functional.adjust_saturation(
          video, factor
      )
  
imports: from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  import torch
  import torchvision
  from torch import Tensor
  from torchvision.transforms.functional import InterpolationMode
label_desc: Use image node_id 8 for calling a global function with example usage: _adjust_saturation(video, factor) and returns: torchvision