code: def forward(self, x, context=None, mask=None, **unused_kwargs):
      b, c, h, w = x.shape
      x = rearrange(x, "b c h w -> b (h w) c")
      out = super().forward(x, context=context, mask=mask)
      out = rearrange(out, "b (h w) c -> b c h w", h=h, w=w, c=c)
      return x + out
  
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 1 for calling the MemoryEfficientCrossAttentionWrapper obj's underlying member method code with example usage: obj.forward(x, context, mask) and returns: unknown