Jeffrey Ouyang-Zhang

I fixed this by switching pytorch versions `conda install pytorch==1.1.0 torchvision==0.3.0 cudatoolkit=10.0 -c pytorch`

Thanks, looking forward to it!

I think the master addr/ip is not set properly, each node sets itself as the master. see https://discuss.pytorch.org/t/distributed-training-on-slurm-cluster/150417/8

@mavisguan It's very exciting that in near future you plan to release graphormer-3d model pretrained on a large-scale dataset. Is this coming anytime soon? I'm not finding any graphormer-3d pretrained...

I had the same issue, likely did not set CUDA_HOME or other cuda environment variables correctly, so it installed cpu version. You can check the first line output when running...

Sorry its been too long. If I had to guess it would be icifar.

Sorry, the training code of the side models is not provided.