code: def forward(self, x: paddle.Tensor):
      x = x + self.attention(self.ln_1(x))
      x = x + self.mlp(self.ln_2(x))
      return x
  
imports: from collections import OrderedDict
  from typing import Tuple
  from typing import Union
  import numpy
  import paddle
  import paddle.nn.functional
  from disco_diffusion_cnclip_vitb16.cn_clip.clip import _tokenizer
  from disco_diffusion_cnclip_vitb16.cn_clip.clip.configuration_bert import BertConfig
  from disco_diffusion_cnclip_vitb16.cn_clip.clip.modeling_bert import BertModel
  from paddle import nn
  from paddle.nn import MultiHeadAttention
label_desc: Use image node_id 3 for calling the ResidualAttentionBlock obj's underlying member method code with example usage: obj.forward(x) and returns: x