code: def attention(self, x: torch.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, need_weights=False, attn_mask=self.attn_mask
      )[0]
  
imports: from collections import OrderedDict
  from itertools import repeat
  import collections.abc
  import math
  import torch
  import torch.nn.functional
  from torch import nn
  from fairscale.nn.checkpoint.checkpoint_activations import checkpoint_wrapper
  from lavis.models.eva_vit import convert_weights_to_fp16
  from lavis.common.dist_utils import download_cached_file
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