code: def initialize(self):
      for m in self.modules():
          if isinstance(m, nn.Conv2d):
              nn.init.kaiming_normal(m.weight)
          elif isinstance(m, nn.BatchNorm2d):
              nn.init.constant(m.weight, 1)
              nn.init.constant(m.bias, 0)
  
imports: import numpy
  import torch
  from torch import nn
  from torch.autograd import Variable
  from torchvision.models import ResNet
  from pytorch2keras.converter import pytorch_to_keras
label_desc: Use image node_id 2 for calling the CifarSEResNet obj's underlying member method code with example usage: obj.initialize() without return types