Comments (4)
Hello, considering that our model utilizes SyncBatchNorm, it is important to note that it cannot be used with a single worker on either CPU or GPU. To address this issue, I suggest referring to this link in the Detectron2 repository, where you may find a resolution for this problem.
from cutler.
Hello, considering that our model utilizes SyncBatchNorm, it is important to note that it cannot be used with a single worker on either CPU or GPU. To address this issue, I suggest referring to this link in the Detectron2 repository, where you may find a resolution for this problem.
Thanks for your reply!
I‘ve read the code and find these configs. Finally, I used at least 2 GPU which could address the issue.
from cutler.
Hello, considering that our model utilizes SyncBatchNorm, it is important to note that it cannot be used with a single worker on either CPU or GPU. To address this issue, I suggest referring to this link in the Detectron2 repository, where you may find a resolution for this problem.
Thanks for your reply! I‘ve read the code and find these configs. Finally, I used at least 2 GPU which could address the issue.
BTW, I found that if I use python=3.8 torch=1.8.1 cudatoolkit=11.3
with RTX30 series , this CUDA error index >= -sizes[i] && index < sizes[i] && "index out of bounds
will appear which should already fixed according to this issue and this issue.
Confusing. So I have to replace GPU with RTX20 series and cudatoolkit=10.2 .But the batch size must be set smaller in config file. I don't know why only me have met these problems. T_T
from cutler.
This bug seems to be a hardware related issue, sorry for not being able to help much. Let me know if there is any code related bugs.
from cutler.
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