code: def _load_from_state_dict(
      self,
      state_dict,
      prefix,
      local_metadata,
      strict,
      missing_keys,
      unexpected_keys,
      error_msgs,
  ):
      skey = "_agg_layer._model.skey"
      bkey = "_agg_layer._model.bkey"
  
      if skey in state_dict:
          self.register_buffer(
              "skey", t.randn(*state_dict[skey].size())
          )
      if bkey in state_dict:
          self.register_buffer(
              "bkey", t.randn(*state_dict[bkey].size())
          )
  
      if "_out_scale" in state_dict:
          self.scale = nn.Parameter(
              t.randn(*state_dict["_out_scale"].size())
          )
  
      if "_out_bias" in state_dict:
          self.bias = nn.Parameter(
              t.randn(*state_dict["_out_bias"].size())
          )
  
      super(PassportBlock, self)._load_from_state_dict(
          state_dict,
          prefix,
          local_metadata,
          strict,
          missing_keys,
          unexpected_keys,
          error_msgs,
      )
  
imports: import random
  import torch
  from torch import nn
  import numpy
  from typing import Literal
label_desc: Use image node_id 5 for calling the PassportBlock obj's underlying member method code with example usage: obj._load_from_state_dict(state_dict, prefix, local_metadata, strict, missing_keys, unexpected_keys, error_msgs) without return types