code: def forward(self, x: Tensor) -> Tensor:
      x1 = self.w1(x)
      x2 = self.w2(x)
      hidden = F.silu(x1) * x2
      return self.w3(hidden)
  
imports: import logging
  import math
  from functools import partial
  from itertools import repeat
  from typing import Callable, Optional
  import torch
  import torch.nn
  import torch.nn.functional
  import torch.utils.checkpoint
  from mmcv.runner import BaseModule, load_checkpoint
  from mmseg.ops import resize
  from mmseg.utils import get_root_logger
  from torch import Tensor
  from .drop_path import DropPath
label_desc: Use image node_id 2 for calling the SwiGLUFFN obj's underlying member method code with example usage: obj.forward(x) and returns: self