code: def accuracy(output, target, topk=(1,)):
      """Computes the precision@k for the specified values of k"""
      maxk = max(topk)
      batch_size = target.size(0)
  
      _, pred = output.topk(maxk, 1, True, True)
      pred = pred.t()
  
      correct = pred.eq(target.unsqueeze(0).expand_as(pred))
  
      res = []
      for k in topk:
          correct_k = (
              correct[:k]
              .contiguous()
              .view(-1)
              .float()
              .sum(0, keepdim=True)
          )
          res.append(correct_k.mul_(100.0 / batch_size))
      return res
  
file_path: insightface/recognition/idmmd/utils.py
imports: import os
  import numpy
  import torch
  import torch.nn.functional
label_desc: Use image node_id 10 for calling a global function with example usage: accuracy(output, target, topk) and returns: res