code: def resized_crop(
      clip, i, j, h, w, size, interpolation_mode="bilinear"
  ):
      """
      Do spatial cropping and resizing to the video clip
      Args:
          clip (torch.tensor): Video clip to be cropped. Size is (C, T, H, W)
          i (int): i in (i,j) i.e coordinates of the upper left corner.
          j (int): j in (i,j) i.e coordinates of the upper left corner.
          h (int): Height of the cropped region.
          w (int): Width of the cropped region.
          size (tuple(int, int)): height and width of resized clip
      Returns:
          clip (torch.tensor): Resized and cropped clip. Size is (C, T, H, W)
      """
      if not _is_tensor_video_clip(clip):
          raise ValueError("clip should be a 4D torch.tensor")
      clip = crop(clip, i, j, h, w)
      clip = resize(clip, size, interpolation_mode)
      return clip
  
file_path: vision/torchvision/transforms/_functional_video.py
imports: import warnings
  import torch
label_desc: Use image node_id 4 for calling a global function with example usage: resized_crop(clip, i, j, h, w, size, interpolation_mode) and returns: clip