code: def forward(self, x, shared_rel_pos: Optional[torch.Tensor] = None):
      x = x + self.drop_path1(
          self.norm1(self.attn(x, shared_rel_pos=shared_rel_pos))
      )
      x = x + self.drop_path2(self.norm2(self.mlp(x)))
      return x
  
imports: import logging
  import math
  from functools import partial
  from typing import Optional, Tuple
  import torch
  import torch.nn
  from torch.jit import Final
  from torch.utils.checkpoint import checkpoint
  from timm.data import IMAGENET_INCEPTION_MEAN, IMAGENET_INCEPTION_STD
  from timm.layers import PatchEmbed, Mlp, DropPath, RelPosMlp, RelPosBias, use_fused_attn
  from ._builder import build_model_with_cfg
  from ._registry import generate_default_cfgs, register_model
label_desc: Use image node_id 3 for calling the ResPostRelPosBlock obj's underlying member method code with example usage: obj.forward(x, shared_rel_pos) and returns: x