code: def create_adapter_parameters(
      self,
      adapter_name: str,
      r: int,
      shape: Tuple[int, ...],
      block_share: bool,
  ):
      if block_share:
          self.oft_r[adapter_name] = nn.Parameter(
              torch.empty(
                  1, math.ceil(shape[0] / r), math.ceil(shape[0] / r)
              )
          )
      else:
          self.oft_r[adapter_name] = nn.Parameter(
              torch.empty(
                  r, math.ceil(shape[0] / r), math.ceil(shape[0] / r)
              )
          )
  
imports: import math
  import warnings
  from typing import Any, List, Optional, Set, Tuple
  import torch
  import torch.nn
  from peft.tuners.lycoris_utils import LycorisLayer
label_desc: Use image node_id 3 for calling the OFTLayer obj's underlying member method code with example usage: obj.create_adapter_parameters(adapter_name, r, shape, block_share) without return types