code: def __init__(self, mlp: TimmMlp, op=None) -> None:
      super().__init__()
      self.fc1 = mlp.fc1
      self.swiglu = xops.SwiGLU(
          in_features=mlp.fc1.in_features,
          hidden_features=mlp.fc1.out_features,
          bias=True,
      )
      self.op = op
  
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 1 to create a new TimmSwiGLU object from inherited base classes: nn with example: obj = TimmSwiGLU(mlp, op)