code: def forward(self, x, **kwargs):
      h_ = x
      h_ = self.attention(h_)
      h_ = self.proj_out(h_)
      return x + h_
  
imports: import logging
  import math
  from typing import Any, Callable, Optional
  import numpy
  import torch
  import torch.nn
  from einops import rearrange
  from packaging import version
  from ...modules.attention import LinearAttention, MemoryEfficientCrossAttention
label_desc: Use image node_id 3 for calling the AttnBlock obj's underlying member method code with example usage: obj.forward(x) and returns: unknown