class_docstr: Measures top-k accuracy of multi-class predictions.
class_docstr_tok: ["Measures","top-k","accuracy","of","multi-class","predictions","."]
code: def __init__(self, topk=(1,)):
      self.reset()
      self.topk = topk
      self.maxk = max(self.topk)
  
file_path: CrypTen/examples/meters.py
imports: import torch
label_desc: Use image node_id 1 to create a new AccuracyMeter object  with example: obj = AccuracyMeter(topk)