code: def normalize_video(
      video: torch.Tensor,
      mean: List[float],
      std: List[float],
      inplace: bool = False,
  ) -> torch.Tensor:
      return normalize_image(video, mean, std, inplace=inplace)
  
imports: import math
  from typing import List, Optional
  import PIL.Image
  import torch
  from torch.nn.functional import conv2d, pad
  from torchvision import tv_tensors
  from torchvision.transforms._functional_tensor import _max_value
  from torchvision.transforms.functional import pil_to_tensor, to_pil_image
  from torchvision.utils import _log_api_usage_once
  from ._utils import _get_kernel, _register_kernel_internal
label_desc: Use image node_id 3 for calling a global function with example usage: normalize_video(video, mean, std, inplace) and returns: normalize_image