code: def div255(x):
      """
      Scale clip frames from [0, 255] to [0, 1].
      Args:
          x (Tensor): A tensor of the clip's RGB frames with shape:
              (channel, time, height, width).
  
      Returns:
          x (Tensor): Scaled tensor by divide 255.
      """
      return x / 255.0
  
imports: import functools
  import os
  from typing import Dict
  import torch
  from torch.utils.data import DistributedSampler, RandomSampler, SequentialSampler
  from torchvision.transforms import Compose, Lambda
  from torchvision.transforms._transforms_video import NormalizeVideo, RandomCropVideo, RandomHorizontalFlipVideo
  import slowfast.utils.logging
  from pytorchvideo.data import Charades, LabeledVideoDataset, SSv2, make_clip_sampler
  from pytorchvideo.data.labeled_video_paths import LabeledVideoPaths
  from pytorchvideo.transforms import ApplyTransformToKey, RandomShortSideScale, ShortSideScale, UniformCropVideo, UniformTemporalSubsample
  from .None import utils
  from .build import DATASET_REGISTRY
label_desc: Use image node_id 1 for calling a global function with example usage: div255(x) and returns: unknown