""" Eval metrics and related
Hacked together by / Copyright 2020 Ross Wightman
"""
[docs]class AverageMeter:
"""Computes and stores the average and current value"""
[docs] def __init__(self):
self.reset()
[docs] def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
[docs] def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
[docs]def accuracy(output, target, topk=(1,)):
"""Computes the accuracy over the k top predictions for the specified values of k"""
maxk = min(max(topk), output.size()[1])
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.reshape(1, -1).expand_as(pred))
return [correct[:min(k, maxk)].reshape(-1).float().sum(0) * 100. / batch_size for k in topk]