code: def fix(module: nn.MultiheadAttention) -> DPMultiheadAttention:
      dp_attn = DPMultiheadAttention(
          embed_dim=module.embed_dim,
          num_heads=module.num_heads,
          dropout=module.dropout,
          bias=module.in_proj_bias is not None,
          add_bias_kv=module.bias_k is not None,
          add_zero_attn=module.add_zero_attn,
          kdim=module.kdim,
          vdim=module.vdim,
          batch_first=module.batch_first,
      )
      dp_attn.load_state_dict(module.state_dict())
      return dp_attn
  
imports: from typing import List
  import torch.nn
  from opacus.layers import DPMultiheadAttention
  from .errors import ShouldReplaceModuleError, UnsupportedModuleError
  from .utils import register_module_fixer, register_module_validator
label_desc: Use image node_id 2 for calling a global function with example usage: fix(module) and returns: dp_attn