cuda can be installed in docker; upload the downloaded software package to the specified directory and execute "sudo sh cuda_downloaded version_linux.run" to install it. cuda is the operation exited by the graphics card manufacturer NVIDIA Platform, after the installation is complete, you can use "nvidia-smi" to view the installed cuda version.
The operating environment of this tutorial: linux7.3 system, docker version 19.03, Dell G3 computer.
docker can install cuda
CUDA (Compute Unified Device Architecture) is a computing platform launched by graphics card manufacturer NVIDIA. CUDA is a general-purpose parallel computing architecture introduced by NVIDIA that enables GPUs to solve complex computing problems. It includes the CUDA instruction set architecture (ISA) and the parallel computing engine inside the GPU. Developers can use C language to write programs for the CUDA™ architecture, and the written programs can run at ultra-high performance on CUDA™-enabled processors. CUDA3.0 has begun to support C and FORTRAN.
The example is as follows:
Installing cuda under docker_Ubuntu16.04
(1) Download the installation file. First go to NVIDIA official website to download the cuda installation package: https://developer.nvidia.com/cuda-toolkit-archive
(2) Update the system driver
System Settings - Software and Updates - Additional Drivers - Update nvidia and intel
If there is a problem of looping into the system when updating the driver, please uninstall the driver first, and then use the installation method with the driver to solve the problem (panacea ).
How to uninstall the driver at this time: Since the graphical user interface (GUI) cannot be entered after logging in, we can enter the text user interface (TUI). In the login interface state, press Ctrl Alt f1 to enter the TUI Execute
sudo /usr/bin/nvidia-uninstall
and then restart
sudo reboot
(3) cuda installation
After uploading the downloaded software package to the directory you defined, execute the following command
sudo sh cuda_9.0.176_384.81_linux.run
Then Use the corner of a book to hold down the Enter key until the Terms of Service display reaches 100%. Then follow the steps below to select
Accept
n (Do not install the driver)
y
y
- failed--compilation aborted at ./cuda-installer.pl line 5
sudo apt install freeglut3-dev build-essential libx11-dev libxmu-dev libxi-dev libgl1-mesa-glx libglu1-mesa libglu1-mesa-dev libglfw3-dev libgles2-mesa-dev(4) Set environment variables Open the main Add the following path to the .bashrc file in the directory. For example, my .bashrc file is under /home/wangyuanwei. If it is not found, press the Ctrl H key to display the hidden file.
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64 export PATH=$PATH:/usr/local/cuda-9.0/bin export CUDA_HOME=$CUDA_HOME:/usr/local/cuda-9.0
然后在终端运行: cat /usr/local/cuda/version.txtRecommended learning: «
docker Video Tutorial
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Docker is a Linux container technology-based tool used to package, distribute and run applications to improve application portability and scalability. 1) Dockerbuild and dockerrun commands can be used to build and run Docker containers. 2) DockerCompose is used to define and run multi-container Docker applications to simplify microservice management. 3) Using multi-stage construction can optimize the image size and improve the application startup speed. 4) Viewing container logs is an effective way to debug container problems.

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