code: def with_pos_embed(self, tensor, pos: Optional[Tensor]):
      return tensor if pos is None else tensor + pos
  
imports: import math
  import torch
  from torch import nn, Tensor
  import torch.nn.functional
  from typing import Optional
  from modules.codeformer.vqgan_arch import VQAutoEncoder, ResBlock
  from basicsr.utils.registry import ARCH_REGISTRY
label_desc: Use image node_id 2 for calling the TransformerSALayer obj's underlying member method code with example usage: obj.with_pos_embed(tensor, pos) and returns: unknown