The most likely usage of your singularity environment will be via utilizing either singularity exec or singularity run. These can be directly executed via a batch script or through an interactive job in place of your traditional execution scripts. For more information about the methods of running a singularity image, the Singularity quickstart guide is pretty handy.
This will launch an interactive shell within a singularity instance based on the designated image. This should be used when you are testing/debugging the image or intend to use it via the interact/VNC methods.
$ singularity shell <imagePath>
This method is only applicable when working with an interact slurm job, or via the terminal within a VNC session.
The next method is to launch the image with a defined set of instructions. This will launch the singularity image, and execute whatever commands are defined by the user.
$ singularity exec <imagePath> <commands>
Here, the commands can range from running a script, loading modules, or piping multiple instructions together. To see an example of this process, see the Example - Tensorflow section where we execute a script to run within the singularity image.
The last method we will go over here is via singularities run command, which will execute a series of instructions provided to the image in the form of a runscript. This script will automatically execute if the image is either launch using the run command, or if the singularity image is directly executed.
$ singularity run <imagePath>
In both cases, we are executing the container’s “runscript” (the executable
/singularity at the root of the image).