code: def _is_tensor_video_clip(clip):
      if not torch.is_tensor(clip):
          raise TypeError("clip should be Tensor. Got %s" % type(clip))
  
      if not clip.ndimension() == 4:
          raise ValueError("clip should be 4D. Got %dD" % clip.dim())
  
      return True
  
file_path: vision/torchvision/transforms/_functional_video.py
imports: import warnings
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: _is_tensor_video_clip(clip) and returns: True