code: def _pool_flops_compute(
      input,
      kernel_size,
      stride=None,
      padding=0,
      dilation=None,
      ceil_mode=False,
      count_include_pad=True,
      divisor_override=None,
      return_indices=None,
  ):
      return input.numel(), 0
  
imports: import time
  import torch
  import torch.nn
  import torch.nn.functional
  from functools import partial
  from typing import List, Optional
  from collections import OrderedDict
  import numpy
label_desc: Use image node_id 10 for calling a global function with example usage: _pool_flops_compute(input, kernel_size, stride, padding, dilation, ceil_mode, count_include_pad, divisor_override, return_indices) and returns: input,  int