PyTorch problem

[Yichong Xu]

Just wondering - can Tensorflow run well on these machines? I hope someone to confirm about this so that we can isolate the problem.
OK so here’s a further test: I tried running the cuda examples from the cuda installation (in /usr/local/cuda/sample), on gpu2 in my scratch directory. Simple jobs like deviceQuery succeeds, but simpleCUBLAS failed:
yichongx at gpu2$ cd /home/scratch/yichongx/
yichongx at gpu2$ cd
0_Simple/        2_Graphics/      4_Finance/       6_Advanced/      bin/             conda/
1_Utilities/     3_Imaging/       5_Simulations/   7_CUDALibraries/ common/          miniconda3/
yichongx at gpu2$ cd 7_CUDALibraries/
yichongx at gpu2$ cd simpleCUBLAS
yichongx at gpu2$ CUDA_VISIBLE_DEVICES=3 ./simpleCUBLAS
GPU Device 0: "TITAN X (Pascal)" with compute capability 6.1

simpleCUBLAS test running..
!!!! CUBLAS initialization error
yichongx at gpu2$


This is also consistent with our previous errors from pytorch, which say cublas library not initialized.

So this means at least there is some problem with CUBLAS on gpu2. This post suggests that using sudo can resolve this problem, and this is probably because of some permission problems on CUBLAS libraries:
https://devtalk.nvidia.com/default/topic/1027602/cuda-setup-and-installation/cublas-libraries-with-incorrect-permissions/
@Predrag: Can you try running the simpleCUBLAS example from the CUDA library, with and without root privilege? I think that might be something that you are more familiar with. Thank you very much!


Thanks,
Yichong

On Sep 4, 2018, at 3:18 PM, Emre Yolcu <eyolcu at cs.cmu.edu<mailto:eyolcu at cs.cmu.edu>> wrote:

Hi,

We are trying to troubleshoot the PyTorch issue with Predrag and were wondering:

Is anybody able to run PyTorch GPU models on gpu1-9? If you can, we would appreciate if you can respond.

Also, is it a problem for anyone if gpu8 is rebooted today?

Thanks,

Emre

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