n dealing with
probabilistic models in PyTorch as generators are random states that are advanced and can thus be
passed to multiple pipelines in a sequence.
Great! Now, we know how to write reproducible pipelines, but it gets a bit trickier since the above example only runs on the CPU. How do we also achieve reproducibility on GPU?
In short, one should not expect full reproducibility across different hardware when running pipelines on GPU
as ma