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
--
Sent from: http://pycuda.2962900.n2.nabble.com/
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