core
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add deps-tf1 and docker-cuda-tf1
this would allow specifying FROM ocrd/core-cuda-tf1 for all modules depending on Tensorflow 1 – so this (huge!) Docker layer can be shared
same could be worked out for TF2 and Pytorch.