class_docstr: Module to load BERT pre-trained weights.
  Based on:
  LXMERT
  https://github.com/airsplay/lxmert
  BERT (pytorch-transformer)
  https://github.com/huggingface/transformers
code: def init_bert_weights(self, module):
      if isinstance(module, (nn.Linear, nn.Embedding)):
          module.weight.data.normal_(
              mean=0.0, std=self.config.initializer_range
          )
      elif isinstance(module, torch.nn.LayerNorm):
          module.bias.data.zero_()
          module.weight.data.fill_(1.0)
      if isinstance(module, nn.Linear) and module.bias is not None:
          module.bias.data.zero_()
  
imports: from __future__ import annotations
  import math
  from collections.abc import Sequence
  import torch
  from torch import nn
  from monai.config.type_definitions import PathLike
  from monai.utils import optional_import
label_desc: Use image node_id 2 for calling the BertPreTrainedModel obj's underlying member method code with example usage: obj.init_bert_weights(module) without return types