code: def forward(self, rays_d: torch.Tensor) -> torch.Tensor:
      if random.random() < self.random_ratio:
          return torch.rand(rays_d.shape[0], self.num_output_dims).to(
              rays_d
          )
      else:
          return self.base_background.to(rays_d).expand(
              rays_d.shape[0], -1
          )
  
imports: import random
  from typing import Tuple
  import torch
  import torch.nn
label_desc: Use image node_id 2 for calling the RandomBackground obj's underlying member method code with example usage: obj.forward(rays_d) and returns: torch, self