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The user-private and project-wide installations are now versioned by the system-wide software stack deployment date. For instance, user-private software is now located at

$MYSOFTWARE/setonix/<DATE_TAG> 

where <DATE_TAG> is  is the date of the related software stack deployment in the YYYY.MM format  format. When you select which pawseyenv version to use, you select also what user and project installations are visible.

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Machine learning frameworks Tensorflow and PyTorch are provided by means of containers and made visible using the module system. Once the respective module is loaded, the python3 interpreter from within the container has access to the Tensorflow or PyTorch Python modules.

Singularity Container Engine

Singularity version is going from 3.8.

Users own software

Manual builds

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The version of R provided as a module has changed from 4.1.0 to 4.2.1. This may cause issues with your installed R libraries and packages and require you to update your installed versions to be compatible with this newer version of R. 

# Load the newold R module version 
$ module swap pawseyenv TODO --> Confirm versions
$ module load r/4.21.10
# Open an R session
R
# Get a list of your installed packages
installed_packages <- installed.packages()
write.csv(installed_packages, file = "installed_packages.csv")
# close th
# Load the new R version
$ module swap pawseyenv TODO --> Confirm versions

Python virtual environment

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