.backwards
Something is not quite working here, but I haven't dug deeply into it
ipdb> y_ref, y_ref_std, y_pred, y_pred_std = predict( dataset=thermo_data, force_field=current_ff, epoch_dir=root / f"EPOCH_{epoch}", ) ipdb> loss = (y_pred - y_ref).square().mean() ipdb> loss.backward() *** RuntimeError: Function RemoteEnsembleAverageBackward returned an invalid gradient at index 2 - got [208] but expected shape compatible with [287]
This is dropping in around here
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mattwthompson commentedon Oct 20, 2026
Something is not quite working here, but I haven't dug deeply into it
This is dropping in around here