code: def video_normalize(
      vid: torch.Tensor, mean: List[float], std: List[float]
  ) -> torch.Tensor:
      shape = (-1,) + (1,) * (vid.dim() - 1)
      mean = torch.as_tensor(mean).reshape(shape)
      std = torch.as_tensor(std).reshape(shape)
      return (vid - mean) / std
  
file_path: mmf/mmf/datasets/processors/functional.py
imports: from typing import List, Tuple, Union
  import torch
label_desc: Use image node_id 7 for calling a global function with example usage: video_normalize(vid, mean, std) and returns: unknown