class_docstr: CrossModel for DRL.
class_docstr_tok: ["CrossModel","for","DRL","."]
code: def initialize_parameters(self):
      proj_std = (self.transformer.width**-0.5) * (
          (2 * self.transformer.layers) ** -0.5
      )
      attn_std = self.transformer.width**-0.5
      fc_std = (2 * self.transformer.width) ** -0.5
      for block in self.transformer.resblocks:
          nn.init.normal_(block.attn.in_proj_weight, std=attn_std)
          nn.init.normal_(block.attn.out_proj.weight, std=proj_std)
          nn.init.normal_(block.mlp.c_fc.weight, std=fc_std)
          nn.init.normal_(block.mlp.c_proj.weight, std=proj_std)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import logging
  import torch
  from torch import nn
  from towhee.models.drl.until_module import LayerNorm
  from collections import OrderedDict
label_desc: Use image node_id 1 for calling the CrossModel obj's underlying member method code with example usage: obj.initialize_parameters() without return types