code: def load_video(path):
      """
      rtype: torch, T x C x H x W
      """
      vid = torchvision.io.read_video(
          path, pts_unit="sec", output_format="THWC"
      )[0]
      vid = vid.permute((0, 3, 1, 2))
      return vid
  
file_path: audio/examples/avsr/lrs3.py
imports: import os
  import torchaudio
  import torchvision
  from torch.utils.data import Dataset
label_desc: Use image node_id 2 for calling a global function with example usage: load_video(path) and returns: vid