Comments (2)
您好,当我取cifar10整体训练的5w张拿来训练,存在一个显存溢出问题,请问你这边训练是用了多少数据
按照论文原文,取1000张作为查询图像,5000张作为训练图像。训练完成后,对所有图像生成hash code,然后用1000个查询图像计算mAP。
我记得我最开始的时候也是直接用cifar10所有的数据来训练的,没有溢出的问题。你检查一下是不是batch-size设置的太大了?
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发现是我自己改动了代码的原因,感谢你的回答~
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Related Issues (3)
- NUS-WIDE 数据集 HOT 1
- imagenet100 HOT 1
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