Fix GPU training in inverse problem #283
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* gpinn/basepinn new classes, pinn restructure * codacy fix gpinn/basepinn/pinn * inverse problem fix * Causal PINN (#267) * fix GPU training in inverse problem (#283) * Create a `compute_residual` attribute for `PINNInterface` * Modify dataloading in solvers (#286) * Modify PINNInterface by removing _loss_phys, _loss_data * Adding in PINNInterface a variable to track the current condition during training * Modify GPINN,PINN,CausalPINN to match changes in PINNInterface * Competitive Pinn Addition (#288) * fixing after rebase/ fix loss * fixing final issues --------- Co-authored-by: Dario Coscia <[email protected]> * Modify min max formulation to max min for paper consistency * Adding SAPINN solver (#291) * rom solver * fix import --------- Co-authored-by: Dario Coscia <[email protected]> Co-authored-by: Anna Ivagnes <[email protected]> Co-authored-by: valc89 <[email protected]> Co-authored-by: Monthly Tag bot <[email protected]> Co-authored-by: Nicola Demo <[email protected]>
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Fix issue #281: in
pina/trainer.pyadd the conversion of device for the unknown parameters in the inverse problem.