code: def operator_flop(
      cls, a: torch.Tensor, b: torch.Tensor, out1, out2
  ) -> int:
      M, N, K = a.shape[0], b.shape[1], a.shape[1]
      return M * N * K * 2
  
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 GemmFusedSumOp obj's underlying member method code with example usage: obj.operator_flop(cls, a, b, out1, out2) and returns: unknown