class_docstr: Transformer MLP block.
class_docstr_tok: ["Transformer","MLP","block","."]
code: def init_weights(self):
      nn.init.xavier_uniform_(self.linear_1.weight)
      nn.init.xavier_uniform_(self.linear_2.weight)
      nn.init.normal_(self.linear_1.bias, std=1e-6)
      nn.init.normal_(self.linear_2.bias, std=1e-6)
  
imports: import copy
  import logging
  import math
  from collections import OrderedDict
  from functools import partial
  from typing import Dict, List, Mapping, NamedTuple, Union
  import torch
  import torch.nn
  from classy_vision.models import ClassyModel, register_model
  from .lecun_normal_init import lecun_normal_init
label_desc: Use image node_id 2 for calling the MLPBlock obj's underlying member method code with example usage: obj.init_weights() without return types