def accuracy(output, target, topk=(1,)):
    """Computes the precision@k for the specified values of k"""
    if isinstance(output, list):
        output = output[-1]

    n_classes = output.size()[1]
    maxk = min(max(topk), n_classes)
    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))

    res = []
    for k in topk:
        correct_k = correct[:k].reshape(-1).float().sum(0, keepdim=True)
        res.append(correct_k.mul_(100.0 / batch_size).item())
    return res
Computes the precision@k for the specified values of k
datasets/evaluation/classification_evaluation.py