code: def reset_ia3_parameters(self, adapter_name):
      if adapter_name in self.ia3_l.keys():
          # initialize learned vector with torch.ones
          nn.init.constant_(self.ia3_l[adapter_name], 1.0)
  
imports: import warnings
  from typing import Any, List, Optional
  import torch
  import torch.nn
  from transformers.pytorch_utils import Conv1D
  from peft.tuners.tuners_utils import BaseTunerLayer
  from peft.utils import transpose
label_desc: Use image node_id 3 for calling the IA3Layer obj's underlying member method code with example usage: obj.reset_ia3_parameters(adapter_name) without return types