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EagleW avatar EagleW commented on July 21, 2024

@rzhangpku Thank you for your interest in our work. I think maybe you can change the batch_size to 40 by append --batch_size 40 or smaller and uncomment line 254.

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EagleW avatar EagleW commented on July 21, 2024

@rzhangpku You can drop me an email if you still have this problem

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rzhangpku avatar rzhangpku commented on July 21, 2024

As you say, I change the batch_size to 30 by append --batch_size 30 and uncomment line 254 in the train.py, then the problem is solved.
Thanks a lot for your quick and kind reply.

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EagleW avatar EagleW commented on July 21, 2024

Hope you enjoy the experiments and have a good weekend!

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rzhangpku avatar rzhangpku commented on July 21, 2024

Your work "PaperRobot" is very excellent and impressive! Have a nice weekend!

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ClaireZTH avatar ClaireZTH commented on July 21, 2024

I have same question, but i can not solve it by decreasing batch_size.

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EagleW avatar EagleW commented on July 21, 2024

@ClaireZTH Maybe you can further decrease batch size or choose a server with large GPU memory

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