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Hi there,
This PR adds the ability to use MPI to parallelize SOM training, by adding a reduction step in the merge_updates. it should make no difference to non-MPI usage, but allow people to scale across clusters, including GPU clusters.
To make use of it, users pass their mpi4py communicator object, e.g. MPI_COMM_WORLD, to the relevant functions. I've added some tests, which require the MPI mocking library mockmpi.
No worries if this isn't a feature you're interested in having in the code - I can always maintain it separately.
Cheers,
Joe