code: def create_adapter_parameters(
      self,
      adapter_name: str,
      r: int,
      shape,
      use_w1: bool,
      use_w2: bool,
      use_effective_conv2d: bool,
  ):
      if use_w1:
          self.lokr_w1[adapter_name] = nn.Parameter(
              torch.empty(shape[0][0], shape[1][0])
          )
      else:
          self.lokr_w1_a[adapter_name] = nn.Parameter(
              torch.empty(shape[0][0], r)
          )
          self.lokr_w1_b[adapter_name] = nn.Parameter(
              torch.empty(r, shape[1][0])
          )
  
      if len(shape) == 4:
          # Conv2d
          if use_w2:
              self.lokr_w2[adapter_name] = nn.Parameter(
                  torch.empty(shape[0][1], shape[1][1], *shape[2:])
              )
          elif use_effective_conv2d:
              self.lokr_t2[adapter_name] = nn.Parameter(
                  torch.empty(r, r, shape[2], shape[3])
              )
              self.lokr_w2_a[adapter_name] = nn.Parameter(
                  torch.empty(r, shape[0][1])
              )  # b, 1-mode
              self.lokr_w2_b[adapter_name] = nn.Parameter(
                  torch.empty(r, shape[1][1])
              )  # d, 2-mode
          else:
              self.lokr_w2_a[adapter_name] = nn.Parameter(
                  torch.empty(shape[0][1], r)
              )
              self.lokr_w2_b[adapter_name] = nn.Parameter(
                  torch.empty(r, shape[1][1] * shape[2] * shape[3])
              )
      else:
          # Linear
          if use_w2:
              self.lokr_w2[adapter_name] = nn.Parameter(
                  torch.empty(shape[0][1], shape[1][1])
              )
          else:
              self.lokr_w2_a[adapter_name] = nn.Parameter(
                  torch.empty(shape[0][1], r)
              )
              self.lokr_w2_b[adapter_name] = nn.Parameter(
                  torch.empty(r, shape[1][1])
              )
  
imports: import math
  from typing import Any, Optional, Set, Tuple, Union
  import torch
  import torch.nn
  import torch.nn.functional
  from peft.tuners.lycoris_utils import LycorisLayer
label_desc: Use image node_id 3 for calling the LoKrLayer obj's underlying member method code with example usage: obj.create_adapter_parameters(adapter_name, r, shape, use_w1, use_w2, use_effective_conv2d) without return types