code: def attention(self, x: paddle.Tensor):
      self.attn_mask = (
          self.attn_mask.to(dtype=x.dtype, device=x.device)
          if self.attn_mask is not None
          else None
      )
      return self.attn(x, x, x, attn_mask=self.attn_mask)
  
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 2 for calling the ResidualAttentionBlock obj's underlying member method code with example usage: obj.attention(x) and returns: self