class_docstr: Modified Alighed Xception
code: def __init_weight(self):
      for m in self.modules():
          if isinstance(m, nn.Conv2d):
              # n = m.kernel_size[0] * m.kernel_size[1] * m.out_channels
              # m.weight.data.normal_(0, math.sqrt(2. / n))
              torch.nn.init.kaiming_normal_(m.weight)
          elif isinstance(m, nn.BatchNorm2d):
              m.weight.data.fill_(1)
              m.bias.data.zero_()
  
imports: import math
  import torch
  import torch.nn
  import torch.nn.functional
  from collections import OrderedDict
  import torch.utils.model_zoo
  from torch.nn.parameter import Parameter
label_desc: Use image node_id 3 for calling the Xception obj's underlying member method code with example usage: obj.__init_weight() without return types