code: def forward(cls, ctx, x, w1, b1, w2, b2, w3, b3):
      x1, x2, x4 = DualGemmSiluOp.OPERATOR(x, w1, b1, w2, b2)
  
      x5 = F.linear(x4, w3, b3)
      ctx.save_for_backward(x, w1, w2, w3, x1, x2)
      ctx.bias = [b1 is not None, b2 is not None, b3 is not None]
      return x5
  
imports: from dataclasses import dataclass
  from typing import Dict, Optional, Sequence, Tuple, Union
  import torch
  import torch.nn.functional
  from torch import nn
  from .common import BaseOperator, get_xformers_operator, register_operator
  from .unbind import stack_or_none, unbind
label_desc: Use image node_id 1 for calling the _SwiGLUFusedFunc obj's underlying member method code with example usage: obj.forward(cls, ctx, x, w1, b1, w2, b2, w3, b3) and returns: x5