code: def _init_weights(self):
      nn.initializer.XavierNormal(self.fc1.weight)
      nn.initializer.XavierNormal(self.fc2.weight)
      nn.initializer.Normal(mean=0, std=1e-6)(self.fc1.bias)
      nn.initializer.Normal(mean=0, std=1e-6)(self.fc2.bias)
  
imports: import copy
  import math
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  from medicalseg.cvlibs import manager
  from medicalseg.utils import load_pretrained_model
label_desc: Use image node_id 2 for calling the Mlp obj's underlying member method code with example usage: obj._init_weights() without return types