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Sometimes it can be unclear whether to load with module or with spack.

As a general rule, if it is a licensed application such as Matlab.

For example if you enter the commands module avail, and spack list while on the rc cluster, both return a loadable package of py-torchvision.

Generally speaking, you should always use spack load when possible. This is because you will always get the correct version and it will also handle all dependencies.

If you were to module load py-torchvision, you would have to specify the version, as well as make sure you have the correct version of python.

For most python packages you should use spack load, as it also loads the correct version of python and all other dependencies.

Module Load can be useful when you want a specific version of a package. Spack load will always load the newest version, or the version specified by RC. 

If you would like to use an older version of the package for any reason, it may be available in Module avail.

If there are any further questions, or there is an issue with the documentation, please contact rc-help@rit.edu for additional assistance.

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