eval_linear.py [364:373]:
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            loss = criterion(output, target)

            acc1, acc5 = accuracy(output, target, topk=(1, 5))
            losses.update(loss.item(), inp.size(0))
            top1.update(acc1[0], inp.size(0))
            top5.update(acc5[0], inp.size(0))

            # measure elapsed time
            batch_time.update(time.perf_counter() - end)
            end = time.perf_counter()
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eval_semisup.py [323:332]:
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            loss = criterion(output, target)

            acc1, acc5 = accuracy(output, target, topk=(1, 5))
            losses.update(loss.item(), inp.size(0))
            top1.update(acc1[0], inp.size(0))
            top5.update(acc5[0], inp.size(0))

            # measure elapsed time
            batch_time.update(time.perf_counter() - end)
            end = time.perf_counter()
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