code: def _init_params(self):
      for name, module in self.named_modules():
          if isinstance(module, nn.Conv2d):
              init.kaiming_uniform_(module.weight)
              if module.bias is not None:
                  init.constant_(module.bias, 0)
  
imports: import numpy
  from torch.autograd import Variable
  from pytorch2keras.converter import pytorch_to_keras
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.nn.init
label_desc: Use image node_id 2 for calling the MENet obj's underlying member method code with example usage: obj._init_params() without return types