code: def batchnorm(self, planes, zero_init=False):
      bn_cfg = {}
      if self.config.bn_momentum is not None:
          bn_cfg["momentum"] = self.config.bn_momentum
      if self.config.bn_epsilon is not None:
          bn_cfg["eps"] = self.config.bn_epsilon
  
      bn = nn.BatchNorm2d(planes, **bn_cfg)
      gamma_init_val = 0 if zero_init else 1
      nn.init.constant_(bn.weight, gamma_init_val)
      nn.init.constant_(bn.bias, 0)
  
      return bn
  
imports: import copy
  from collections import OrderedDict
  from dataclasses import dataclass
  from typing import Optional
  import torch
  import warnings
  from torch import nn
  import torch.nn.functional
label_desc: Use image node_id 8 for calling the LayerBuilder obj's underlying member method code with example usage: obj.batchnorm(planes, zero_init) and returns: bn