libtensorflow_framework.so: undefined symbol: cuDevicePrimaryCtxGetState

1
votes

I have installed tensorflow-gpu with conda successfully. When I test doing import tensorflow I have the issue mentioned above. Any idea? I have checked my drivers, the nvidia toolkit and cudnn are intalled correctly and set the values of PATH, LD_LIBRARY_PATH and CUDA_HOME respectively. ...Fri Nov 23 12:00:18 2018
+------------------------------------------------------+
| NVIDIA-SMI 340.107 Driver Version: 340.107 |
|-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Quadro FX 5600 Off | 0000:02:00.0 N/A | N/A | | 61% 77C P0 N/A / N/A | 2MiB / 1535MiB | N/A Default | +-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+ | Compute processes: GPU Memory | | GPU PID Process name Usage | |=============================================================================| | 0 Not Supported | +-----------------------------------------------------------------------------+

2
tensorflow

2 Answers

0
votes

You need to have the proper minimum CUDA support (seems like it's 7 https://askubuntu.com/questions/988787/nvidia-cuda-theano-could-not-find-symbol-cudeviceprimaryctxgetstate) with cuDNN 3.

Upgrade your drivers if possible to get this version.

Otherwise, use either tensorflow-mkl or for older CPU models tensorflow-eigen.

0
votes

I had the same problem - I had already installed the required NVIDIA drivers on my Ubuntu machine, but when I tried to import Tensorflow I got the same error.

So for me the problem was that I was using the Nouveau driver instead of the NVIDIA driver. In order to fix the issue you need to go to System Settings->Software & Updates->Additional Drivers and select the option Using NVIDIA binary driver ... and then click at the Apply Changes button. Then just reboot and you're done.