code: def scaled_dot_product_flash_attention_flop(
      inputs: List[Any], outputs: List[Any]
  ):
      # FIXME: this needs to count the flops of this kernel
      # https://github.com/pytorch/pytorch/blob/207b06d099def9d9476176a1842e88636c1f714f/aten/src/ATen/native/cpu/FlashAttentionKernel.cpp#L52-L267
      return 0
  
imports: import os
  from collections import defaultdict
  from numbers import Number
  from typing import Any, List
  import torch
  from torch.utils._python_dispatch import TorchDispatchMode
  from torch.utils._pytree import tree_map
  from torchvision.models._api import Weights
label_desc: Use image node_id 11 for calling a global function with example usage: scaled_dot_product_flash_attention_flop(inputs, outputs) and returns: int