code: def __init__(
      self,
      num_classes,
      split,
      num_samples,
      frames_per_clip,
      video_width,
      video_height,
      audio_samples,
      clips_per_video,
      seed=10,
  ):
      self.num_classes = num_classes
      self.split = split
      # video config
      self.video_channels = 3
      self.num_samples = num_samples
      self.frames_per_clip = frames_per_clip
      self.video_width = video_width
      self.video_height = video_height
      # audio config
      self.audio_samples = audio_samples
      self.clips_per_video = clips_per_video
      # misc config
      self.seed = seed
  
imports: import torch
  from ...generic.util import torch_seed
label_desc: Use image node_id 1 to create a new RandomVideoDataset object  with example: obj = RandomVideoDataset(num_classes, split, num_samples, frames_per_clip, video_width, video_height, audio_samples, clips_per_video, seed)