Models feature/keep batch sharded #121
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[Draft] This PR improves scalability at large input grid sizes by keeping the input batch and output of the model sharded, never materializing the full in/out grid in gpu memory. The loss/validation metrics are computed locally to then get the global loss via all-reduce across shards.
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