class_docstr: Implements the default empty space model where all queries are rendered as background.
class_docstr_tok: ["Implements","the","default","empty","space","model","where","all","queries","are","rendered","as","background","."]
code: def __init__(self, background, channel_scale=255.0):
      super().__init__()
      background = nn.Parameter(
          torch.from_numpy(np.array(background)).to(dtype=torch.float32)
          / channel_scale
      )
  
      self.register_buffer("background", background)
  
imports: import math
  from dataclasses import dataclass
  from typing import Dict, Optional, Tuple
  import numpy
  import torch
  import torch.nn.functional
  from torch import nn
  from ...configuration_utils import ConfigMixin, register_to_config
  from ...models import ModelMixin
  from ...utils import BaseOutput
  from .camera import create_pan_cameras
label_desc: Use image node_id 1 to create a new VoidNeRFModel object from inherited base classes: nn with example: obj = VoidNeRFModel(background, channel_scale)