docstr: nn.Module: normalization layer after the first convolution layer
docstr_tok: ["nn.Module",":","normalization","layer","after","the","first","convolution","layer"]
code: def norm1(self):
      """nn.Module: normalization layer after the first convolution layer"""
      return getattr(self, self.norm1_name)
  
imports: import warnings
  import torch.nn
  import torch.utils.checkpoint
  from mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer
  from mmengine.model import BaseModule
  from torch.nn.modules.batchnorm import _BatchNorm
  from mmdet.registry import MODELS
  from ..layers import ResLayer
label_desc: Use image node_id 4 for calling the Bottleneck obj's underlying member method code with example usage: obj.norm1() and returns: getattr