docstr: Class Method: *.to, not convert, please check whether it is torch.Tensor.*/Optimizer.*/nn.Module.*, and convert manually
docstr_tok: ["Class","Method",":","*",".to",",","not","convert",",","please","check","whether","it","is","torch.Tensor.","*","\/Optimizer.","*","\/nn.Module",".","*",",","and","convert","manually"]
code: def attention(self, x: paddle.Tensor):
      """Class Method: *.to, not convert, please check whether it is torch.Tensor.*/Optimizer.*/nn.Module.*, and convert manually"""
      self.attn_mask = (
          self.attn_mask.astype(x.dtype)
          if self.attn_mask is not None
          else None
      )
      x = x.transpose([1, 0, 2])
      x = self.attn(x, x, x, attn_mask=self.attn_mask)
      return x.transpose([1, 0, 2])
  
imports: from collections import OrderedDict
  from typing import Tuple, Union
  import numpy
  import paddle
  from paddle.nn.initializer import Constant
  from paddle.vision.transforms import Compose, Resize, CenterCrop, ToTensor, Normalize
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: x