code: def attention(
      self, x: torch.Tensor, key_padding_mask: torch.Tensor = None
  ):
      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,
          key_padding_mask=key_padding_mask,
          need_weights=False,
          attn_mask=self.attn_mask,
      )[0]
  
imports: import os
  from collections import OrderedDict
  import torch
  from mmcv.cnn.bricks import DropPath
  from torch import nn
  from transformers import CLIPTokenizer
  from .utils import get_prompt_templates
label_desc: Use image node_id 2 for calling the ResidualAttentionBlock obj's underlying member method code with example usage: obj.attention(x, key_padding_mask) and returns: self