CUDA Runtime API error 38: no CUDA-capable device is detected

35,527

Solution 1

I came across this issue, and running

nvidia-smi

informed me of an API mismatch. The problem was that my Linux distro had installed updates that required a system restart, so restarting resolved the issue.

Solution 2

See this stack overflow question Installing cuda 5 samples in Ubuntu 12.10.

  1. Ubuntu 12 is not a supported Linux distro (yet). For reference see CUDA 5.0 Toolkit Release Notes And Errata

    ** Distributions Currently Supported

    Distribution       32 64  Kernel                 GCC         GLIBC        
    -----------------  -- --  ---------------------  ----------  -------------
    Fedora 16          X  X   3.1.0-7.fc16           4.6.2       2.14.90      
    ICC Compiler 12.1     X                                                   
    OpenSUSE 12.1         X   3.1.0-1.2-desktop      4.6.2       2.14.1       
    Red Hat RHEL 6.x      X   2.6.32-131.0.15.el6    4.4.5       2.12         
    Red Hat RHEL 5.5+     X   2.6.18-238.el5         4.1.2       2.5          
    SUSE SLES 11 SP2      X   3.0.13-0.27-pae        4.3.4       2.11.3       
    SUSE SLES 11.1     X  X   2.6.32.12-0.7-pae      4.3.4       2.11.1       
    Ubuntu 11.10       X  X   3.0.0-19-generic-pae   4.6.1       2.13         
    Ubuntu 10.04       X  X   2.6.35-23-generic      4.4.5       2.12.1    
    
  2. If you want to do it run on Ubuntu 12 anyway then see answer of rpardo. It looks like this distro instead of installing 64 bit libraries to /usr/lib64 installs them to /usr/lib/x86_64-linux-gnu/

I'd suggest searching for all instances of libcuda.so and libnvidia-ml.so on the system. Since the driver doesn't support this distro it might have installed libraries to a path that is not pointed by LD_LIBRARY_PATH. Then move the libraries around and/or change the LD_LIBRARY_PATH to point to this location (it should be the first path on the left). Then retry nvidia-smi or deviceQuery

Good luck

Solution 3

I got error 38 for cudaGetDeviceCount on a windows machine with GTX980 GPU. After I downloaded the latest driver for GTX 980 fro the NVIDIA site, installed it and restarted, everything is fine. Looks like the CUDA installer is not installing the latest driver.

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35,527
Framester
Author by

Framester

Updated on February 04, 2020

Comments

  • Framester
    Framester over 4 years

    The Situation

    I have a 2 gpu server (Ubuntu 12.04) where I switched a Tesla C1060 with a GTX 670. Than I installed CUDA 5.0 over the 4.2. Afterwards I compiled all examples execpt for simpleMPI without error. But when I run ./devicequery I get following error message:

    foo@bar-serv2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$ ./deviceQuery
    ./deviceQuery Starting...
    
     CUDA Device Query (Runtime API) version (CUDART static linking)
    
    cudaGetDeviceCount returned 38
    -> no CUDA-capable device is detected
    

    What I have tried

    To solve this I tried all of the thinks recommended by CUDA-capable device, but to no avail:

    • /dev/nvidia* is there and the permissions are 666 (crw-rw-rw-) and owner root:root

       foo@bar-serv2:/dev$ ls -l nvidia*
       crw-rw-rw- 1 root root 195,   0 Oct 24 18:51 nvidia0
       crw-rw-rw- 1 root root 195,   1 Oct 24 18:51 nvidia1
       crw-rw-rw- 1 root root 195, 255 Oct 24 18:50 nvidiactl
      
    • I tried executing the code with sudo

    • CUDA 5.0 installs driver and libraries at the same time

    PS here is lspci | grep -i nvidia:

    foo@bar-serv2:/dev$ lspci | grep -i nvidia
    03:00.0 VGA compatible controller: NVIDIA Corporation GK104 [GeForce GTX 670] (rev a1)
    03:00.1 Audio device: NVIDIA Corporation GK104 HDMI Audio Controller (rev a1)
    04:00.0 VGA compatible controller: NVIDIA Corporation G94 [Quadro FX 1800] (rev a1)
    

    [update]

    foo@bar-serv2:~/NVIDIA_CUDA-5.0_Samples/bin/linux/release$  nvidia-smi -a
    NVIDIA: API mismatch: the NVIDIA kernel module has version 295.59,
    but this NVIDIA driver component has version 304.54.  Please make
    sure that the kernel module and all NVIDIA driver components
    have the same version.
    Failed to initialize NVML: Unknown Error
    

    How could that be, if I use the CUDA 5.0 installer to install driver and libs at the same time. Could the old 4.2 version, that is still lying around mess things up?

  • Framester
    Framester over 11 years
    Thanks for your answer. It is true, that I did not pay attention to the fact that CUDA 5.0 is not running on 12.04. The reason for that is, that CUDA 4.2 just worked fine on 12.04. I furthermore did what rpardo recommended while installing the driver the first time.
  • talonmies
    talonmies over 11 years
    I recommend going back and reading the complete question again. This has nothing to do with the problem.
  • Iwillnotexist Idonotexist
    Iwillnotexist Idonotexist about 9 years
    +!: Searching instances of libcuda.so solved it for me, in a different way: I had a left-over libcuda.346.47 when the version I wanted and that came bundled with CUDA Toolkit 7.0 is 346.46. Since it was more recent, it would get picked up, and who knows that it did then. Deleting it solved my issue.
  • ruoho ruotsi
    ruoho ruotsi over 8 years
    Which version of cuda were you using? CUDA 7.0?