Docker Containers BKMs¶
Installation¶
Follow the official guide for your OS or distro.
Change location of the images on the system¶
By default Docker stores images in /var/lib/docker
, but that can be changed.
Create a new file called /etc/docker/daemon.json
and put the following
content:
{
"data-root": "/path/to/data/root",
"exec-root": "/path/to/exec/root"
}
Running Docker without sudo¶
Add your local user to docker
group to be able to run docker commands without
sudo.
Docker vs Podman¶
Docker and Podman are very similar tools, that allow you to manage and run container images. Unlike Docker, Podman runs without a daemon and allows you to run containers without root permissions. The command line syntax is mostly identical for Docker and Podman. Choose whatever is available on your system.
SYCL Containers overview¶
The following containers are publicly available for DPC++ compiler development:
ghcr.io/intel/llvm/ubuntu2204_base
: contains basic Ubuntu 22.04 environment setup for building DPC++ compiler from source.ghcr.io/intel/llvm/ubuntu2404_base
: contains basic Ubuntu 24.04 environment setup for building DPC++ compiler from source.ghcr.io/intel/llvm/ubuntu2204_intel_drivers
: contains everything from the Ubuntu 22.04 base container + pre-installed Intel drivers. The image comes in two flavors/tags:latest
: Intel drivers are downloaded from release/tag and saved in dependencies.json. The drivers are tested/validated everytime we upgrade the driver.alldeps
: Includes the same Intel drivers aslatest
, as well as the development kits for NVidia/AMD from theubuntu2204_build
container.
ghcr.io/intel/llvm/ubuntu2404_intel_drivers
: contains everything from the Ubuntu 24.04 base container + pre-installed Intel drivers. The image comes in three flavors/tags:latest
: Intel drivers are downloaded from release/tag and saved in dependencies.json. The drivers are tested/validated everytime we upgrade the driver.devigc
: Intel Graphics Compiler driver from github actions artifacts, other drivers are downloaded from release/tag and saved in dependencies.json.unstable
: Intel drivers are downloaded from release/latest. The drivers are installed as it is, not tested or validated.
ghcr.io/intel/llvm/ubuntu2204_build
: has development kits installed for NVidia/AMD and can be used for building DPC++ compiler from source with all backends enabled or for end-to-end testing with HIP/CUDA on machines with corresponding GPUs available.ghcr.io/intel/llvm/sycl_ubuntu2204_nightly
: contains the latest successfully built nightly build of DPC++ compiler. The image comes in three flavors: with pre-installed Intel drivers (latest
), without them (no-drivers
) and with development kits installed (build
).
Running Docker container interactively¶
The main application of Docker is containerizing services. But it also allows you to run containers interactively, so that you can use them as you would use a terminal or SSH session. The following command allows you to do that:
docker run --name <friendly_name> -it <image_name>[:<tag>] /bin/bash
This command will download an image if it does not exist locally. If you’ve
downloaded an image previously, and you want to update it, use
docker pull <image_name>
command.
Persisting data¶
Persisting data with volumes¶
Docker container images are read-only. When container is destroyed, all its data is lost. To persist data when working with containers (i.e. when upgrading container version) one can use Docker volumes.
Creating a volume:
docker volume create <volume name>
Listing all volumes:
docker volume list
Mounting volume to the container:
docker run <options> -v <volume_name>:/path/inside/container <image_name> bash
Deleting a volume:
docker volume rm <image_name>
See official documentation for more info.
Passthrough a directory to a container¶
Use -v path/on/host:path/in/container
argument for run
command to
passthrough a host directory or a file.
GPU passthrough¶
Intel¶
Add --device=/dev/dri
argument to run
command to passthrough you Intel GPU.
Make sure you’re a member of video
group to be able to access GPU.
In case the container is running under WSL, add --device=/dev/dxg -v /usr/lib/wsl:/usr/lib/wsl
argument to run
command. See official guide
for more information.
AMD¶
Follow the official guide.
Nvidia¶
Follow these instructions.
Changing Docker user¶
By default all processes within our containers are run as the sycl
user which
has password-less sudo
access.
If you want to change the user, you can do that by specifying the
-u <username or uid>
option when running the container.
Managing downloaded Docker images¶
List local images:
docker image ls
Remove local image:
docker image rm <image_name_or_id>
Managing disk usage¶
See how much space is taken by docker:
docker system df
Cleaning unused data:
docker system prune
See official documentation for more info.
Building a Docker Container from scratch¶
Docker containers can be built with the following command:
docker build -f path/to/devops/containers/file.Dockerfile path/to/devops/
The ubuntu2204_preinstalled.Dockerfile
script expects llvm_sycl.tar.xz
file
to be present in devops/
directory.
Containers other than base provide several configurable arguments, the most
commonly used are base_image
and base_tag
, which specify the base Docker
image and its tag. You can set additional arguments with --build-arg ARG=value
argument.