Correctly calculate distributed loss average #269
Merged
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We previously first calculated the loss average per DDP replica and then averaged across replicas. This leads to wrong results since not every replica has the same number of atoms or even systems. This PR changes the computation to instead calculate an average over all replicas by aggregating the number of samples.
This seems to give a tiny improvement in MAE (0.5% or so). But training looks very similar to previously.