code: def forward(self, x: torch.Tensor) -> torch.Tensor:
      return self.swiglu(x)
  
imports: import itertools
  from functools import partial, reduce
  from typing import Iterator
  import timm
  import torch
  import torch.nn
  from timm.models.layers import Mlp
  from timm.models.vision_transformer import Attention
  from timm.models.vision_transformer import Block
  from torch.utils import benchmark
  from utils import benchmark_main_helper
  import xformers.ops
label_desc: Use image node_id 2 for calling the TimmSwiGLU obj's underlying member method code with example usage: obj.forward(x) and returns: self