I have also tried to follow any possible piece of advice given here and in the Theano Google Group (running sudo nvidia-smi, running an example before trying to compute anything, etc.). I have reasons to believe it has something to do with Theano's implementation rather than a bad Ubuntu integration between the GPU and the NVIDIA-CUDA-toolkit as when I installed CUDA from the official NVIDIA webpage, I could run seamlessly any CUDA sample free of hassle but Theano didn't seem to find the GPU. Nevertheless, exactly the same error arose.
#NVIDIA CUDA TOOLKIT UBUNTU 16.04 INSTALL#
Because of that I installed the NVIDIA-CUDA-toolkit following a guide to install CUDA in Ubuntu 16.04 and I could install everything as sugested in the aforementioned guide to using the GPU, in the right folder.
Firstly I thought it was my OS' fault as installing NVIDIA-CUDA-toolkit from the official Ubuntu Mate repo did not create any folder /usr/local/cuda-X.Y, so I could not follow the instructions given in "Using the GPU". I have also tried using the flag device=cuda, as suggested in the Issue 4384. WARNING (): CUDA is installed, but device gpu is not available (error: cuda unavailable)
#NVIDIA CUDA TOOLKIT UBUNTU 16.04 CODE#
I have firstly installed NVIDIA-CUDA-toolkit from the Ubuntu Mate repo, getting the 7.5.18 version and then ran the code to test the GPU provided in with the usual flags THEANO_FLAGS='device=gpu,floatX=float32 but the following error arose:ĮRROR (): Failed to compile cuda_ndarray.cu: ('nvcc return status', 1, 'for cmd', 'nvcc -shared -O3 -m64 -Xcompiler -DCUDA_NDARRAY_CUH=c72d035fdf91890f3b36710688069b2e,-DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION,-fPIC,-fvisibility=hidden -Xlinker -rpath,/home/bee/.theano/compiledir_Linux-4.4-generic-x86_64-with-Ubuntu-16.04-xenial-x86_64-2.7.11+-64/cuda_ndarray -I/usr/local/lib/python2.7/dist-packages/theano/sandbox/cuda -I/usr/local/lib/python2.7/dist-packages/numpy/core/include -I/usr/include/python2.7 -I/usr/local/lib/python2.7/dist-packages/theano/gof -o /home/bee/.theano/compiledir_Linux-4.4-generic-x86_64-with-Ubuntu-16.04-xenial-x86_64-2.7.11+-64/cuda_ndarray/cuda_ndarray.so mod.cu -L/usr/lib -lcublas -lpython2.7 -lcudart') | 0 7931 G /usr/lib/firefox/firefox 1MiB | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
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