code: def __init__(self):
      super(BaseNet, self).__init__()
  
      # register buffer
      self.register_buffer(
          "mean",
          torch.Tensor([-0.030, -0.088, -0.188])[None, :, None, None],
      )
      self.register_buffer(
          "std",
          torch.Tensor([0.458, 0.448, 0.450])[None, :, None, None],
      )
  
imports: from typing import Sequence
  from itertools import chain
  import torch
  import torch.nn
  from torchvision import models
  from .utils import normalize_activation
label_desc: Use image node_id 1 to create a new BaseNet object from inherited base classes: nn with example: obj = BaseNet()