code: def forward(
      self, x: torch.Tensor, key_padding_mask: torch.Tensor = None
  ):
      x = x + self.drop_path(
          self.attention(
              self.ln_1(x), key_padding_mask=key_padding_mask
          )
      )
      x = x + self.drop_path(self.mlp(self.ln_2(x)))
      return x
  
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 3 for calling the ResidualAttentionBlock obj's underlying member method code with example usage: obj.forward(x, key_padding_mask) and returns: x