code: def __init__(
      self, base_background: Tuple, random_ratio: float
  ) -> None:
      super().__init__()
      self.random_ratio = random_ratio
      self.num_output_dims = len(base_background)
      self.register_buffer(
          "base_background", torch.tensor(base_background)
      )
  
imports: import random
  from typing import Tuple
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new RandomBackground object from inherited base classes: nn with example: obj = RandomBackground(base_background, random_ratio)