Dear all,
how can I use GPU in my SWAN session?
When I configure a new environment I cannot choose GPU.
Thank you
Gianfranco
Dear Gianfranco,
You should be able to access the GPUs in a few hours, please connect to https://swan-k8s.cern.ch, for the moment that’s the only instance that has access to GPUs.
Dear Enric,
thank you for your response.
My doubt regards this warning that I receive every time i run my application:
2022-05-18 11:16:35.218633: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library ‘libcudart.so.11.0’; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /cvmfs/sft.cern.ch/lcg/releases/MCGenerators/thepeg/2.2.1-8d929/x86_64-centos7-gcc8-opt/lib/ThePEG:/cvmfs/sft.cern.ch/lcg/releases/MCGenerators/herwig++/7.2.1-f3599/x86_64-centos7-gcc8-opt/lib/Herwig:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib/python3.9/site-packages/torch/lib:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib/python3.9/site-packages/tensorflow:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib/python3.9/site-packages/tensorflow/contrib/tensor_forest:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib/python3.9/site-packages/tensorflow/python/framework:/cvmfs/sft.cern.ch/lcg/releases/java/8u222-884d8/x86_64-centos7-gcc8-opt/jre/lib/amd64:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib64:/cvmfs/sft.cern.ch/lcg/views/LCG_101swan/x86_64-centos7-gcc8-opt/lib:/cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/lib:/cvmfs/sft.cern.ch/lcg/releases/gcc/8.3.0-cebb0/x86_64-centos7/lib64:/cvmfs/sft.cern.ch/lcg/releases/binutils/2.30-e5b21/x86_64-centos7/lib:/usr/local/lib/:/cvmfs/sft.cern.ch/lcg/releases/R/3.6.3-dfb24/x86_64-centos7-gcc8-opt/lib64/R/library/readr/rcon
2022-05-18 11:16:35.218664: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
It concern the lack of GPU in this session?
Hi,
for support questions please open a ticket on Service Now . In your case, the issue is that you didn’t select the ‘CUDA’ software stack when starting the session.
Cheers,
Riccardo
Hi,
thank you, I solved my problem selecting ‘CUDA’ stack at session start.
Cheers,
Gianfranco