code: def forward(self, x: Tensor) -> Tensor:
      return self.w2(F.silu(self.w1(x)) * self.w3(x))
  
imports: from dataclasses import dataclass
  from typing import Optional
  import torch
  import torch.nn
  from torch import Tensor
  from torch.nn import functional
label_desc: Use image node_id 2 for calling the FeedForward obj's underlying member method code with example usage: obj.forward(x) and returns: self