How to get the CUDA version

Question

Is there any quick command or script to check for the version of CUDA installed   I found the manual of 4 0 under the installation directory but I m not sure whether it is of the actual installed version or not

User · Answer

On Ubuntu Cuda V8      cat  usr local cuda version txt

User · Answer

On Ubuntu    Try    cat  usr local cuda version txt or   cat  usr local cuda-8 0 version txt  Sometimes the folder is named  Cuda-version    If none of above works  try going to    usr local  And find the correct name of your Cuda folder   Output should be similar to  CUDA Version 8 0 61

User · Answer

We have three ways to check Version  In my case below is the output - Way 1 -  cat  usr local cuda version txt   Output -  CUDA Version 10 1 243   Way2 -  nvcc --version   Output -  nvcc  NVIDIA  R  Cuda compiler driver Copyright  c  2005-2017 NVIDIA Corporation Built on Fri Nov  3 21 07 56 CDT 2017 Cuda compilation tools  release 9 1  V9 1 85   Way3 -   usr local cuda bin nvcc --version   Output -  nvcc  NVIDIA  R  Cuda compiler driver Copyright  c  2005-2019 NVIDIA Corporation Built on Sun Jul 28 19 07 16 PDT 2019 Cuda compilation tools  release 10 1  V10 1 243   Way4 -  nvidia-smi NVIDIA-SMI 450 36 06    Driver Version  450 36 06    CUDA Version  11 0   Outputs are not same  Don t know why it s happening

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If you are running on linux   dpkg -l   grep cuda

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Apart from the ones mentioned above  your CUDA installations path  if not changed during setup  typically contains the version number  doing a which nvcc should give the path and that will give you the version  PS  This is a quick and dirty way  the above answers are more elegant and will result in the right version with considerable effort

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Found mine after  whereis cuda  at cuda   usr lib cuda  usr include cuda h with nvcc --version   CUDA Version 9 1 85

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If you have installed CUDA SDK  you can run  deviceQuery  to see the version of CUDA

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Open a terminal and run these commands  cd  usr local cuda samples 1 Utilities deviceQuery sudo make   deviceQuery  You can get the information of CUDA Driver version  CUDA Runtime Version  and also detailed information for GPU s   An image example of the output from my end is as below  You can find the image here

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As Jared mentions in a comment  from the command line    nvcc --version    or  usr local cuda bin nvcc --version  gives the CUDA compiler version  which matches the toolkit version      From application code  you can query the runtime API version with  cudaRuntimeGetVersion     or the driver API version with  cudaDriverGetVersion     As Daniel points out  deviceQuery is an SDK sample app that queries the above  along with device capabilities   As others note  you can also check the contents of the version txt using  e g   on Mac or Linux    cat  usr local cuda version txt   However  if there is another version of the CUDA toolkit installed other than the one symlinked from  usr local cuda  this may report an inaccurate version if another version is earlier in your PATH than the above  so use with caution

User · Answer

One can get the cuda version by typing the following in the terminal     nvcc -V    below is the result nvcc  NVIDIA  R  Cuda compiler driver Copyright  c  2005-2017 NVIDIA Corporation Built on Fri Nov  3 21 07 56 CDT 2017 Cuda compilation tools  release 9 1  V9 1 85     Alternatively  one can manually check for the version by first finding out the installation directory using     whereis -b cuda          cuda   usr local cuda   And then cd into that directory and check for the CUDA version

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if nvcc --version is not working for you then use cat  usr local cuda version txt

User · Answer

First you should find where Cuda installed   If it s a default installation like here the location should be   for ubuntu       usr local cuda   in this folder you should have a file      version txt   open this file with any text editor or run   cat version txt   from the folder   OR   cat  usr local cuda version txt

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You can check the version of CUDA using   nvcc -V   or you can use  nvcc --version   or You can check the location of where the CUDA is using   whereis cuda    and then do  cat location of cuda you got from above command

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You could also use  nvidia-smi   grep  quot CUDA Version  quot    To retrieve the explicit line

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You might find CUDA-Z useful  here is a quote from their Site    This program was born as a parody of another Z-utilities such as CPU-Z and GPU-Z  CUDA-Z shows some basic information about CUDA-enabled GPUs and GPGPUs  It works with nVIDIA Geforce  Quadro and Tesla cards  ION chipsets    http   cuda-z sourceforge net   On the Support Tab there is the URL for the Source Code  http   sourceforge net p cuda-z code  and the download is not actually an Installer but the Executable itself  no installation  so this is  quick     This Utility provides lots of information and if you need to know how it was derived there is the Source to look at  There are other Utilities similar to this that you might search for

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Use the following command to check CUDA installation by Conda   conda list cudatoolkit   And the following command to check CUDNN version installed by conda   conda list cudnn   If you want to install update CUDA and CUDNN through CONDA  please use the following commands   conda install -c anaconda cudatoolkit conda install -c anaconda cudnn   Alternatively you can use following commands to check CUDA installation   nvidia-smi   OR  nvcc --version   If you are using tensorflow-gpu through Anaconda package  You can verify this by simply opening Python in console and check if the default python shows Anaconda  Inc  when it starts  or you can run which python and check the location   then manually installing CUDA and CUDNN will most probably not work  You will have to update through conda instead    If you want to install CUDA  CUDNN  or tensorflow-gpu manually  you can check out the instructions here https   www tensorflow org install gpu

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If you run  nvidia-smi   You should find the CUDA Version on the top right corner of the comand s output  At least I found that output for CUDA version 10 0 e g

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After installing CUDA one can check the versions by  nvcc -V  I have installed both 5 0 and 5 5 so it gives   Cuda Compilation Tools release 5 5 V5 5 0  This command works for both Windows and Ubuntu

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i get  usr local - no such file or directory  Though nvcc -V gives   nvcc  NVIDIA  R  Cuda compiler driver Copyright  c  2005-2016 NVIDIA Corporation Built on Sun Sep  4 22 14 01 CDT 2016 Cuda compilation tools  release 8 0  V8 0 44

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For CUDA version  nvcc --version  Or use  nvidia-smi  For cuDNN version  For Linux  Use following to find path for cuDNN    whereis cuda cuda   usr local cuda  Then use this to get version from header file    cat  usr local cuda include cudnn h   grep CUDNN MAJOR -A 2  For Windows  Use following to find path for cuDNN  C   gt where cudnn  C  Program Files cuDNN7 cuda bin cudnn64 7 dll  Then use this to dump version from header file  type  quot  PROGRAMFILES  cuDNN7 cuda include cudnn h quot    findstr CUDNN MAJOR  If you re getting two different versions for CUDA on Windows - Different CUDA versions shown by nvcc and NVIDIA-smi

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If there is a version mismatch between nvcc and nvidia-smi then different versions of cuda are used as driver and run time environemtn  To ensure same version of CUDA drivers are used what you need to do is to get CUDA on system path  First run whereis cuda and find the location of cuda driver  Then go to  bashrc and modify the path variable and set the directory precedence order of search using variable  LD LIBRARY PATH   for instance   whereis cuda cuda   usr lib cuda  usr include cuda h  usr local cuda  CUDA is installed at  usr local cuda  now we need to to  bashrc and add the path variable as  vim     bashrc export PATH  quot  usr local cuda bin   PATH  quot   and after this line set the directory search path as  export LD LIBRARY PATH  quot  usr local cuda lib64   LD LIBRARY PATH  quot   Then save the  bashrc file  And refresh it as    source    bashrc  This will ensure you have nvcc -V and nvidia-smi to use the same version of drivers

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Programmatically with the CUDA Runtime API C   wrappers   auto v1   cuda  version  maximum supported by driver    auto v2   cuda  version  runtime      This gives you a cuda  version t structure  which you can compare and also stream  e g    if  v2  lt  cuda  version t  8  0           std  cerr  lt  lt   CUDA version    lt  lt  v2  lt  lt    is insufficient   std  endl

[cuda] How to get the CUDA version?

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