code: def forward(self, x: Tensor) -> Tensor:
      x12 = self.w12(x)
      x1, x2 = x12.chunk(2, dim=-1)
      hidden = F.silu(x1) * x2
      return self.w3(hidden)
  
file_path: dinov2/dinov2/layers/swiglu_ffn.py
imports: import os
  from typing import Callable, Optional
  import warnings
  from torch import Tensor, nn
  import torch.nn.functional
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