training with multiple GPU

[gokceay]

Hello Mrs. Liyues,

I would like to use more than one GPU, how can I achieve this? In trainer net at line 25: self.model = nn.DataParallel(self.model).cuda(), I should add gpu ids inside DataParallel besides self.model right? Should I also increase the batch size to be more than the used GPU? Also did you tried batch size more than 1? What was the result if you tried?
Thanks in advance.

[yinyin-llll]

hi，i also want to retrain the model but it need the csv file with annotation.Do you know this file or how to design this file?Thank you very much

[quocbao2772004]

@yinyin-llll hi bro, have you successfully retrained the model?

[yinyin-llll]

No   CR7.xxl ***@***.***  

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[liyues]

Hi all, thanks for your interests in this work and code. This codebase has been quite a few years ago with many changes happened later. I will try to recall my memory to answer these questions to my best but sorry if there is anything unclear.
For the csv file, that should be just a file to store the path to the data file names where you store your data. So you may want to change this file to the one that can direct to your data path so the images can be loaded. Hope this can be helpful and let me know if there is any question.

[liyues]

For the multi-GPU training, I think you are right it is possible to assign different batch of data onto different GPUs so that you can increase your total training batch size. That is to say, this is data parallel training. The PyTorch version may be too old now and you may want to check the new version for the data parallel training in the new PyTorch version. Hope this can be helpful