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  • Singularity Containers
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      • Example Container (TensorFlow)
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    • Installing your own version of Quantum Espresso
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  • Large Language Models
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  1. Singularity Containers

Building Images

This page is designed to give a brief introduction to how to build a singularity image through the various methods available.

PreviousIntro to ApptainerNextRunning Images

Last updated 1 year ago

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For more information regarding building a singularity container, the documentation is excellent and we recommend becoming familiar with it.

Container images can take up a lot of disk space. You may want to save them in a location with a large quota and it is also a good idea to change singularity's default cache directory ( i.e~/.singularity)to a location that gets cleaned up regularly i.e ~/.scratch. In order to change the chache directory, you need to set the appropiate variable in your ~/.bashrc file. For instance:

# set SINGULARITY_CACHEDIR. Make sure directory exists!
export SINGULARITY_CACHEDIR=~/scratch/.singularity

From SingularityHub

You can use the build command to download a container from Singularity Hub.

$ singularity build <finalImageName>.simg shub://<singularityHubURL>

The first argument (<finalImageName>.simg) specifies a path and name for your container. The second argument (shub://<singularityHubURL>) gives the Singularity Hub URI from which to download.

Note, you do not actually use the <> when entering your path/name or url.

From DockerHub

If you already have a desired docker container that you would like to build as a singularity image for use on OSCAR, you can build directly from dockerHub using the build command:

$ singularity build <finalImageName>.simg docker://<dockerHubURL>

This will pull the docker image from DockerHub and build it as a singularity image locally.

Building a Container