code: def __init__(self) -> None:
      super().__init__()
      mean = torch.tensor([-0.030, -0.088, -0.188])[None, :, None, None]
      std = torch.tensor([0.458, 0.448, 0.450])[None, :, None, None]
      self.register_buffer("mean", mean)
      self.register_buffer("std", std)
  
imports: import torch
  from torch import nn
  from torch import Tensor
  from ..misc.toolkit import download_model
  from ..misc.toolkit import set_requires_grad
  from ..modules.blocks import HijackConv2d
label_desc: Use image node_id 1 to create a new ScalingLayer object from inherited base classes: nn with example: obj = ScalingLayer()