mcomin
2018-04-25 20:22:56 UTC
Hello,
I have an error while importing Theano when using the CVMFS stack on the
helios cluster. I want to use this stack as it is the only way to have
MAGMA on the Helios cluster.
Currently Loaded Modules:
1) nixpkgs/16.09 (S) 2) icc/.2016.4.258 (H) 3) gcccore/.5.4.0 (H)
4) ifort/.2016.4.258 (H) 5) intel/2016.4 (t) 6) imkl/11.3.4.258
(math) 7) StdEnv/2016.4 (S) 8) cuda/8.0.44 (t) 9) openmpi/2.1.1 (m)
Where:
S: Module is Sticky, requires --force to unload or purge
m: MPI implementations / Implémentations MPI
math: Mathematical libraries / BibliothÚques mathématiques
t: Tools for development / Outils de développement
H: Hidden Module
And my .theanorc is the following :
[global]
device = cuda
floatX = float32
intX = int32
optimizer_including = cudnn
[dnn]
base_path =
/cvmfs/soft.computecanada.ca/easybuild/software/2017/avx/Compiler/intel2016.4/cuda/8.0.44
[gpuarray]
preallocate=0.9
[blas]
ldflags = -lmkl -lguide -lpthread
The base_path is the value of the environment variable $CUDA_PATH which is
automatically set when loading any cuda module.
I tried to ask for help to Calcul Québec but they could not help me with
Theano.
Thank you !
I have an error while importing Theano when using the CVMFS stack on the
helios cluster. I want to use this stack as it is the only way to have
MAGMA on the Helios cluster.
libnvrtc.so: cannot open shared object file: No such file or directory'
The stack loads the following modules (this is the output of 'module list'):Currently Loaded Modules:
1) nixpkgs/16.09 (S) 2) icc/.2016.4.258 (H) 3) gcccore/.5.4.0 (H)
4) ifort/.2016.4.258 (H) 5) intel/2016.4 (t) 6) imkl/11.3.4.258
(math) 7) StdEnv/2016.4 (S) 8) cuda/8.0.44 (t) 9) openmpi/2.1.1 (m)
Where:
S: Module is Sticky, requires --force to unload or purge
m: MPI implementations / Implémentations MPI
math: Mathematical libraries / BibliothÚques mathématiques
t: Tools for development / Outils de développement
H: Hidden Module
And my .theanorc is the following :
[global]
device = cuda
floatX = float32
intX = int32
optimizer_including = cudnn
[dnn]
base_path =
/cvmfs/soft.computecanada.ca/easybuild/software/2017/avx/Compiler/intel2016.4/cuda/8.0.44
[gpuarray]
preallocate=0.9
[blas]
ldflags = -lmkl -lguide -lpthread
The base_path is the value of the environment variable $CUDA_PATH which is
automatically set when loading any cuda module.
I tried to ask for help to Calcul Québec but they could not help me with
Theano.
Thank you !
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