class_docstr: Fully-connected layer module.
  
  Args:
      in_channels (int): Input channels.
      out_channels (int): Ourput channels.
      norm_cfg (dict, optional): Configuration of normlization method
          after fc. Defaults to None.
      act_cfg (dict, optional): Configuration of activation method after fc.
          Defaults to dict(type='ReLU').
      inplace (bool, optional): Whether inplace the activatation module.
          Defaults to True.
      init_cfg (dict, optional): Initialization config dict.
          Defaults to dict(type='Kaiming', layer='Linear').
docstr: Normalization.
code: def norm(self):
      """Normalization."""
      return getattr(self, self.norm_name)
  
file_path: mmdetection/mmdet/models/reid/fc_module.py
imports: import torch.nn
  from mmcv.cnn import build_activation_layer, build_norm_layer
  from mmengine.model import BaseModule
  from mmdet.registry import MODELS
label_desc: Use image node_id 2 for calling the FcModule obj's underlying member method code with example usage: obj.norm() and returns: getattr