code: def scale_layer(self, scale: float) -> None:
      if scale == 1:
          return
  
      for active_adapter in self.active_adapters:
          if active_adapter not in self.lora_A.keys():
              continue
  
          self.scaling[active_adapter] *= scale
  
imports: import math
  import warnings
  from typing import Any, List, Optional, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers.pytorch_utils import Conv1D
  from peft.tuners.tuners_utils import BaseTunerLayer
  from peft.utils.other import transpose
  from .config import LoraConfig
label_desc: Use image node_id 6 for calling the LoraLayer obj's underlying member method code with example usage: obj.scale_layer(scale) without return types