class_docstr: Base class for any swiglu operator in :attr:`xformers.ops.swiglu`
class_docstr_tok: ["Base","class","for","any","swiglu","operator","in",":","attr",":","`","xformers.ops.swiglu","`"]
code: def __call__(self, *args: Optional[torch.Tensor]) -> torch.Tensor:
      raise NotImplementedError()
  
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 3 for calling the SwiGLUOp obj's underlying member method code with example usage: obj.__call__() without return types