code: def init_weight(self):
      for layer in self.sublayers():
          if isinstance(layer, nn.Conv2D):
              param_init.kaiming_normal_init(layer.weight)
              if layer.bias is not None:
                  zeros_(layer.bias)
  
imports: import math
  import itertools
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from paddleseg.utils import utils
  from paddleseg.cvlibs import manager, param_init
  from paddleseg.models.backbones.transformer_utils import *
label_desc: Use image node_id 3 for calling the Mlp obj's underlying member method code with example usage: obj.init_weight() without return types