code: def state_dict(
      self, *args, destination=None, prefix="", keep_vars=False
  ):
      if self.lora_linear_layer is None:
          return self.regular_linear_layer.state_dict(
              *args,
              destination=destination,
              prefix=prefix,
              keep_vars=keep_vars,
          )
  
      return super().state_dict(
          *args,
          destination=destination,
          prefix=prefix,
          keep_vars=keep_vars,
      )
  
imports: from typing import Optional, Tuple, Union
  import torch
  import torch.nn.functional
  from torch import nn
  from ..utils import logging
  from ..utils.import_utils import is_transformers_available
label_desc: Use image node_id 2 for calling the PatchedLoraProjection obj's underlying member method code with example usage: obj.state_dict() and returns: super, self