code: def forward(self, x):
      x = x + self.drop_path(self.attn(self.norm1(x)))
      with torch.cuda.amp.autocast(True):
          x = x + self.drop_path(self.mlp(self.norm2(x)))
      return x
  
imports: import torch
  import torch.nn
  from timm.models.layers import DropPath, to_2tuple, trunc_normal_
  from typing import Optional, Callable
label_desc: Use image node_id 2 for calling the Block obj's underlying member method code with example usage: obj.forward(x) and returns: x