Refactoring for 0.2
* Data module, data loader and dataset
* Refactor LabelTensor
* Refactor solvers
Co-authored-by: dario-coscia <dariocos99@gmail.com>
* 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 <dariocoscia@Dario-Coscia.local>
* Modify min max formulation to max min for paper consistency
* Adding SAPINN solver (#291)
* rom solver
* fix import
---------
Co-authored-by: Dario Coscia <dariocoscia@Dario-Coscia.local>
Co-authored-by: Anna Ivagnes <75523024+annaivagnes@users.noreply.github.com>
Co-authored-by: valc89 <103250118+valc89@users.noreply.github.com>
Co-authored-by: Monthly Tag bot <mtbot@noreply.github.com>
Co-authored-by: Nicola Demo <demo.nicola@gmail.com>
* Implementing a callback to switch between optimizers during training
* Implementing the R3Refinment for collocation points
* Modify trainer -> dataloader is created or updated by calling `_create_or_update_loader`
* Adding `add_points` routine to AbstractProblem so that new points can be added without resampling from scratch
* Solvers for multiple models
- Implementing the possibility to add multiple models for solvers (e.g. GAN)
- Implementing GAROM solver, see https://arxiv.org/abs/2305.15881
- Implementing tests for GAROM solver (cpu only)
- Fixing docs PINNs
- Creating a solver directory, for consistency in the package
---------
Co-authored-by: Dario Coscia <dariocoscia@dhcp-040.eduroam.sissa.it>
