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CUDA out of memory when training using resneSt200
Hi, thanks for your work. I use 8GPUs with each 12G memory to train the deeplab using resneSt200 on ADE20K with base-size=512/crop-size=480, however it raises "CUDA out of memory", how do you make it work?
I used Pascal V100 (32 GB) memory GPU to train the model, but I think 16GB should be enough.
For 12GB GPU, you can try using pytorch checkpoint, which is very helpful.