code: def __init__(self, top_k=1):
      self.top_k = top_k
      self.correct_count = 0
      self.total_count = 0
  
      self._name = "top_" + str(top_k) + ":acc_metric"
  
imports: import torch
  from .utils import th_matrixcorr
  from .meters.averagemeter import AverageMeter
  from .callbacks import Callback
  from .losses import lovaszloss, hingeloss, dice_coeff
label_desc: Use image node_id 1 to create a new CategoricalAccuracy object from inherited base classes: Metric with example: obj = CategoricalAccuracy(top_k)