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class StatValue:
def __init__(self):
self.clear()
def reset(self):
self.val = 0
def clear(self):
self.reset()
self.history = []
def update(self, val):
self.val = val
self.history.append(self.val)
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.clear()
self.has_new_data = False
def reset(self):
self.avg = 0
self.val = 0
self.sum = 0
self.count = 0
def clear(self):
self.reset()
self.history = []
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
def new_epoch(self):
if self.count > 0:
self.history.append(self.avg)
self.reset()
self.has_new_data = True
else:
self.has_new_data = False
def topk_accuracy(output, target, topk=(1,)):
"""Computes the precision@k for the specified values of k"""
single_input = not isinstance(topk, (tuple, list))
if single_input:
topk = (topk,)
maxk = max(topk)
batch_size = target.size(0)
_, pred = output.topk(maxk, 1, True, True)
pred = pred.t()
correct = pred.eq(target.view(1, -1).expand_as(pred))
res = []
for k in topk:
correct_k = correct[:k].view(-1).float().sum(0, keepdim=True)[0]
res.append(correct_k * 100.0 / batch_size)
if single_input:
return res[0]
return res
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