code: def _embedding_flops_compute(
      input,
      weight,
      padding_idx=None,
      max_norm=None,
      norm_type=2.0,
      scale_grad_by_freq=False,
      sparse=False,
  ):
      return 0, 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 19 for calling a global function with example usage: _embedding_flops_compute(input, weight, padding_idx, max_norm, norm_type, scale_grad_by_freq, sparse) and returns: int,  int