docstr: nn.Module: normalization layer after the second convolution layer
docstr_tok: ["nn.Module",":","normalization","layer","after","the","second","convolution","layer"]
code: def norm2(self):
      """nn.Module: normalization layer after the second convolution layer"""
      return getattr(self, self.norm2_name)
  
imports: import torch.nn
  import torch.utils.checkpoint
  from mmcv.cnn import build_conv_layer, build_norm_layer, build_plugin_layer, constant_init, kaiming_init
  from mmcv.runner import load_checkpoint
  from torch.nn.modules.batchnorm import _BatchNorm
  from mmdet.utils import get_root_logger
  from ..builder import BACKBONES
  from ..utils import ResLayer
label_desc: Use image node_id 5 for calling the Bottleneck obj's underlying member method code with example usage: obj.norm2() and returns: getattr