Linux check cuda version

Jongbhin / check_cuda_cudnn.md

Maybe your cudnn.h is in another directory, use the following command to check:

sudo updatedb locate cudnn.h

Then replace the path with the path it shows

I use the command : cat /usr/include/cudnn.h | grep CUDNN_MAJOR -A 2
but it prints nothing

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/* cudnn : Neural Networks Library

#if !defined(CUDNN_H_)
#define CUDNN_H_

#include «cudnn_version.h»
#include «cudnn_ops_infer.h»
#include «cudnn_ops_train.h»
#include «cudnn_adv_infer.h»
#include «cudnn_adv_train.h»
#include «cudnn_cnn_infer.h»
#include «cudnn_cnn_train.h»

#if defined(__cplusplus)
extern «C» #endif

#if defined(__cplusplus)
>
#endif

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How to find cuda version in ubuntu?

I installed cuda 8.0 in my ubuntu 16.04 machine and checked the cuda version using the command «nvcc —version». it shows version as 7.5. How Can I be sure that it is accurate? Are there other commands that I can also use to verify my result?

I downloaded the package from «developer.nvidia.com/compute/cuda/8.0/prod/local_installers/…» and I followed the installation instructions.

4 Answers 4

$ cat /usr/local/cuda/version.json 

For cuda-8.0 on Ubuntu16.04, you should be able to read

$ cat /usr/local/cuda/version.txt CUDA Version 8.0.44 

I agree with Robert Crovella, you might need to check your PATH

/usr/local/cuda is a symlink to the version you have installed. You can install cuda without the symlink and then this will not work.

Starting from CUDA 8.0, it’s possible to have multiple CUDA versions installed. You can then activate different values for $PATH environment variable that will present you with different CUDA version.

Command to immediately obtain the CUDA version:

$ nvcc --version | grep "release" | awk '' | cut -c2- 

You can confirm the result by checking the install status of CUDA libraries:

For installing multiple versions of CUDA, you can refer to this article.

Thank you all. Previously I tried to install cuda8.0 using run file from https://developer.nvidia.com/compute/cuda/8.0/prod/local_installers/cuda_8.0.44_linux-run. After that I tried to check «nvcc —version», but it shows the following error «The program ‘nvcc’ is currently not installed. You can install it by typing: sudo apt-get install nvidia-cuda-toolkit». So I tried the above command. It gave the cuda7.5 version.

Later I tried to install cuda using debian package which by default contained nvcc. Now I am getting correct version.

Follow the directions in the linux getting started guide. When you use a runfile installer, you must update your PATH environment variable. If you don’t do that, you will get the message about nvcc not being installed.

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How to Get the Version of CUDA Installed on Linux

CUDA is a programming language for NVIDIA GPUs. It is used to speed up complex calculations using NVIDIA GPUs, i.e. Artificial Intelligence programs.

In this article, we will show you how to find the version of CUDA which is supported by the NVIDIA GPU drivers that is installed on Linux. We will also show you how to find the version number of CUDA that is installed on your Linux computer.

Topic of Contents:

Getting the Max Supported Version Number of CUDA on Linux

If you want to know the CUDA versions that the currently installed NVIDIA drivers of your Linux computer support, open a “Terminal” app and run the following command:

In the given output of the command, you will see the version number of the NVIDIA driver that you installed on your Linux computer[1]. You will also see the maximum version of CUDA that the installed version of the NVIDIA driver supports [2] .

In this example, the NVIDIA driver version 525.105.17 supports the CUDA version 12.0 or lower.

Getting the Version Number of Installed CUDA on Linux

To find the version number of CUDA that is installed on your Linux computer, open a “Terminal” app and run the following command:

The version number of CUDA installed on your Linux computer should be displayed.

In this example, the CUDA version that is installed on our Ubuntu machine is v11.5.119.

Conclusion

We showed you how to find out the versions of CUDA that are supported by the currently installed NVIDIA GPU drivers of your Linux computer. We also showed you how to find the version number of CUDA that is
installed on your Linux computer.

References:

About the author

Shahriar Shovon

Freelancer & Linux System Administrator. Also loves Web API development with Node.js and JavaScript. I was born in Bangladesh. I am currently studying Electronics and Communication Engineering at Khulna University of Engineering & Technology (KUET), one of the demanding public engineering universities of Bangladesh.

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How to Check CUDA Version on Ubuntu 18.04

Here you will learn how to check CUDA version on Ubuntu 18.04. The 3 methods are NVIDIA driver’s nvidia-smi , CUDA toolkit’s nvcc , and simply checking a file.

Prerequisite

Before we start, you should have installed NVIDIA driver on your system as well as Nvidia CUDA toolkit.

Method 1 — Use nvidia-smi from Nvidia Linux driver

The first way to check CUDA version is to run nvidia-smi that comes from your Ubuntu 18.04’s NVIDIA driver, specifically the NVIDIA-utils package. You can install either Nvidia driver from the official repository of Ubuntu, or from the NVIDIA website.

$ which nvidia-smi /usr/bin/nvidia-smi

To use nvidia-smi to check your CUDA version on Ubuntu 18.04, directly run from command line

You will see similar output to the screenshot below. The details about the CUDA version is to the top right of the output. My version is 10.2 here. Whether you have 10.0, 10.1 or even the older 9.0 installed, it will differ.

Surprisingly, except for the CUDA version, you can also find more detail from nvidia-smi, such as driver version (440.64), GPU name, GPU fan ratio, power consumption / capacity, memory usage. Also you can find the processes that actually use the GPU.

Here is the full text output:

vh@varhowto-com:~$ nvidia-smi Fri Aug 21 22:14:58 2020 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 440.64 Driver Version: 440.64 CUDA Version: 10.2 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 1070 Off | 00000000:01:00.0 On | N/A | | 32% 49C P0 35W / 151W | 4422MiB / 8116MiB | 1% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 2071 G /usr/lib/xorg/Xorg 73MiB | | 0 2251 G /usr/bin/gnome-shell 51MiB | | 0 7168 G /usr/lib/xorg/Xorg 2616MiB | | 0 7284 G /usr/bin/gnome-shell 523MiB | | 0 14958 G /usr/lib/rstudio/bin/rstudio 319MiB | | 0 15193 G /usr/lib/rstudio/bin/rstudio 307MiB | | 0 19471 G …AAAAAAAAAAAACAAAAAAAAAA= --shared-files 524MiB | +-----------------------------------------------------------------------------+ vh@varhowto-com:~$

What is nvidia-smi?

nvidia-smi (NVSMI) is NVIDIA System Management Interface program. It is also known as NVSMI. nvidia-smi provides tracking and maintenance features for all of the Tesla, Quadro, GRID and GeForce NVIDIA GPUs and higher architectural families in Fermi. For most functions, GeForce Titan Series products are supported with only a limited amount of detail provided for the rest of the Geforce range.

NVSMI is also a cross-platform program which supports all common NVIDIA driver-supported Linux distros and 64-bit versions of Windows starting with Windows Server 2008 R2. Metrics can be used by users directly via stdout, or saved in CSV and XML formats for scripting purposes.

For more information, check out nvidia-smi ‘s manpage.

Method 2 — Use nvcc to check CUDA version on Ubuntu 18.04

If you have installed the cuda-toolkit package either from Ubuntu 18.04’s or NVIDIA’s official Ubuntu 18.04 repository through sudo apt install nvidia-cuda-toolkit , or by downloading from NVIDIA’s official website and install it manually, you will have nvcc in your path ( $PATH ) and its location would be /usr/bin/nvcc (by running which nvcc ).

To check the CUDA version with nvcc on Ubuntu 18.04, execute

Different output can be seen in the screenshot below. The last line reveals a version of your CUDA version. This version here is 10.1. Yours may vary, and may be 10.0 or 10.2. You will see the full text output after the screenshot too.

vh@varhowto-com:~$ nvcc --version 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

What is nvcc?

nvcc is the NVIDIA CUDA Compiler, thus the name. It is the main wrapper for the CUDA compiler suite. For the other use of nvcc , you can use it to compile and link both host and GPU code.

Check out the manpage of nvcc for more information.

Method 3 — cat /usr/local/cuda/version.txt

cat /usr/local/cuda/version.txt

Note that this method might not work on Ubuntu 18.04 if you install Nvidia driver and CUDA from Ubuntu 18.04’s own official repository.

3 ways to check CUDA version on Ubuntu 18.04

Time Needed : 5 minutes

There are three ways to identify the CUDA version on Ubuntu 18.04.

1. The best way is by the NVIDIA driver’s nvidia-smi command you may have installed. Simply run nvidia-smi
2. A simpler way is possibly to test a file, but this may not work on Ubuntu 18.04 Run cat /usr/local/cuda/version.txt
   
3. Another approach is through the cuda-toolkit command nvcc. nvcc –version

Tools

Materials

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