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代码问题 #72
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这是因为前10轮我们的backbone是冻结未参与训练的,因此前10轮内存开销较小。第10轮backbone放开训练会导致内存开销增加,可以试着将config.yaml中的BACKBONE.TRAIN_EPOCH从10改成0,将batch size调好之后再将其改回0。 |
您好,我想问一下,在您的机器的训练了多久才结束的呢,在我的机器上配置没那么好,感觉训练4天才会结束,期待您的回复 |
在4张2080ti上大约需要1~2天 |
好的,谢谢您 |
您好,我看您的论文里写的使用COCO , ImageNet DET, ImageNet VID, and YouTube-BB数据集进行训练的,请问一下这几个数据集一共多大数据量呢,我看一下我的空间够不够,我单独使用got10k数据集进行训练的,发现结果并不好,您使用got10k数据集训练了么 |
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您好,我想请问一下,我在训练到10轮的时候,内存突然溢出了,是因为代码吃内存呢,还是怎么回事呢,期待您的回复
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