MarbHarmsen <[email protected]> writes: > My goal is to speed up my python FEA (finite elements analysis) with my > quadro GPU. I however have issues when I import pycuda.autoinit or > pycuda.driver into my python code. See the example from my Console: > > **code > In [6] import pycuda.autoinit > Traceback (most recent call last): > > File "<ipython-input-7-78816ba4a0fc>", line 1, in <module> > import pycuda.autoinit > > File > "/home/bram/.anaconda3/lib/python3.6/site-packages/pycuda-2017.1-py3.6-linux-x86_64.egg/pycuda/autoinit.py", > line 2, in <module> > import pycuda.driver as cuda > > File > "/home/bram/.anaconda3/lib/python3.6/site-packages/pycuda-2017.1-py3.6-linux-x86_64.egg/pycuda/driver.py", > line 5, in <module> > from pycuda._driver import * # noqa > > ImportError: libcurand.so.8.0: cannot open shared object file: No such file > or directory > /***code > > Some details of my setup: > - HP Zbook Studio G3 (Quadro M1000M) Ubuntu 18.04 > - Cuda 9.1 (.run installer)(I added the path variables to ~/.bashrc > - nvidia-driver-390 as driver > pycuda 2017.1 (from anaconda) > > I've tried the solutions proposed by people encountering similar issues when > using tensorflow-gpu: It was proposed to make a softlink from > libcurand.se.8.0 to the libcurand.se.9.1 using the terminal: > "user@device:~$ sudo ln -s libcublas.so.9.1 libcublas.so.8.0" This did not > help however. > > I've checked the installation of CUDA by running a simple vectorAdd example > in Exlips. That worked without any issues and when profiling it showed that > the gpu was working as expected. > > I probably made a mistake somewhere and tell me if you need more information
It appears that your PyCUDA was built against CUDA 8. (it refers to curand version 8) Since you're using CUDA 9, it cannot find that component. Either rebuild pycuda yourself, or ask whoever provided your version of PyCUDA (neither upstream Anaconda nor conda-forge ship it AFAIK) to supply an updated version built against CUDA 9. HTH, Andreas _______________________________________________ PyCUDA mailing list [email protected] https://lists.tiker.net/listinfo/pycuda
