code: def init_weight(self):
      for layer in self.sublayers():
          if isinstance(layer, nn.Conv2D):
              param_init.kaiming_uniform(layer.weight)
  
imports: from collections import defaultdict
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import numpy
  import scipy
  import paddleseg
  from paddleseg.models import layers, losses
  from paddleseg import utils
  from paddleseg.cvlibs import manager, param_init
label_desc: Use image node_id 3 for calling the MODNetHead obj's underlying member method code with example usage: obj.init_weight() without return types