class_docstr: Args:
      clip (torch.tensor, dtype=torch.uint8): Size is (C, T, H, W)
  Return:
      clip (torch.tensor, dtype=torch.float): Size is (T, H, W, C)
code: def __call__(self, tensor):
      return tensor.permute(1, 2, 3, 0)
  
imports: import torch
  from lavis.common.registry import registry
  from lavis.datasets.data_utils import load_video, load_clip
  from lavis.processors import transforms_video
  from lavis.processors.base_processor import BaseProcessor
  from lavis.processors.randaugment import VideoRandomAugment
  from lavis.processors import functional_video
  from omegaconf import OmegaConf
  from torchvision import transforms
label_desc: Use image node_id 2 for calling the ToTHWC obj's underlying member method code with example usage: obj.__call__(tensor) and returns: tensor