Utilization 0% on all but one GPU using torch

[creepyghost]

Hi, I was trying to run the dbpedia text-classification example ( https://github.com/NVIDIA/DIGITS/tree/master/examples/text-classification ) on an Ubuntu 14.04 server with 4x Tesla K10s. The job started but GPU utilization is 99% only on one GPU. The other GPUs are stuck at 0%. I can see luajit processes in nvidia-smi on the other GPUs though. I can also see 6-8% memory utilization on the three GPUs as opposed to the 50%+ on the GPU that seems to be in use in the training phase.

Is this expected behaviour?

[gheinrich]

HI @creepyghost thanks for the feedback. Yes this is the expected behaviour for now as I haven't made the couple of changes required to do multi-GPU training in the text classification model. If you wish to try it as an exercise you have to encapsulate the model in a DataParallelTable as in there

[gheinrich]

@creepyghost are you willing to test #828 which I think should fix this issue?

[gheinrich]

No feedback => closing.