Try using non-CUDA container image for IRIS CI #32
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Before this was avoided due to it causing issues with `cupy` and GPU-related package installation in the container launched by the IRIS runner, but this may not be an issue when using a container image that doesn't contain a CUDA installation.
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An experiment in trying to not have CUDA in the container (to replicate the installation environment we use at DLS - we don't use any CUDA installed on the host, we only rely on whatever installing
cupyfrom a conda channel does to the conda env).