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I prefer a solution compatible with Singularity and VirtualBox. First, image modules must be defined. These modules are chainable image modification recipes. They could be defined inside the Capsul project (accessible using a simple name for the user) or eventually in an external project. I am not found of modules not included in the project because they require more work for their specification and may be an easy entry point for Trojan horses (to date building recipes are Python code that will have to be downloaded and executed). The image would simply be tagged as customized in metadata and could not be upgraded anymore. If we will probably have to double think about the user API because of the differences between Singularity and VirtualBox. In Singularity we have only image files. In VirtualBox, we have not only images files that cannot be modified and virtual machines that are the result of the importation of an image in VirtualBox and can be modified. What is the expected behavior in the two cases ? It is not yet very clear to me. |
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Many thanks, Yann, for your answers.
casa_distro_admin create_base_image type="dev" base="casa-dev-5.0-8.sif" name="casa-dev-<toolbox>-5.0-8.sif" |
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In my case I need to add tensorflow-gpu to be able to run an external implementation of efficientunet. To be able to install it, I need to install many dependencies provided by external NVidia repository. There is at least 3 possibilities to reach that goal :
Which of these solutions should we use ?
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