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@ -24,9 +24,9 @@ class AverageMeter:
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def accuracy(output, target, topk=(1,)):
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"""Computes the accuracy over the k top predictions for the specified values of k"""
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maxk = max(topk)
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maxk = min(max(topk), output.size()[1])
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batch_size = target.size(0)
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_, pred = output.topk(maxk, 1, True, True)
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pred = pred.t()
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correct = pred.eq(target.reshape(1, -1).expand_as(pred))
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return [correct[:k].reshape(-1).float().sum(0) * 100. / batch_size for k in topk]
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return [correct[:min(k, maxk)].reshape(-1).float().sum(0) * 100. / batch_size for k in topk]
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