Dev Updates - 0.2.3 by GiovanniCanali · Pull Request #636 · mathLab/PINA

GiovanniCanali · 2025-09-10T13:36:11Z

Description

This PR fixes:

#585
#594
#600
#619
#623
#624
#626
#630
#632
#644
#647
#649

Checklist

Code follows the project’s Code Style Guidelines
Tests have been added or updated
Documentation has been updated if necessary
Pull request is linked to an open issue

Co-authored-by: Dario Coscia <dariocos99@gmail.com>

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

github-actions · 2025-09-10T13:43:15Z

Code Coverage Summary

Filename                                                       Stmts    Miss  Cover    Missing
-----------------------------------------------------------  -------  ------  -------  -------------------------------------------------------------------------------------------------------
__init__.py                                                        7       0  100.00%
graph.py                                                         114      11  90.35%   99-100, 112, 124, 126, 142, 144, 166, 169, 182, 271
label_tensor.py                                                  251      28  88.84%   81, 121, 144-148, 165, 177, 182, 188-193, 273, 280, 332, 334, 348, 444-447, 490, 537, 629, 664-673, 710
operator.py                                                       72       2  97.22%   269, 465
trainer.py                                                        75       5  93.33%   195-204, 293, 314, 318
type_checker.py                                                   22       0  100.00%
utils.py                                                          73      11  84.93%   59, 75, 141, 178, 181, 184, 220-223, 268
adaptive_function/__init__.py                                      3       0  100.00%
adaptive_function/adaptive_function.py                            55       0  100.00%
adaptive_function/adaptive_function_interface.py                  51       6  88.24%   98, 141, 148-151
callback/__init__.py                                               5       0  100.00%
callback/normalizer_data_callback.py                              68       1  98.53%   141
callback/optimizer_callback.py                                    23       0  100.00%
callback/processing_callback.py                                   49       5  89.80%   42-43, 73, 168, 171
callback/refinement/__init__.py                                    3       0  100.00%
callback/refinement/r3_refinement.py                              28       1  96.43%   88
callback/refinement/refinement_interface.py                       50       5  90.00%   32, 59, 67, 72, 78
condition/__init__.py                                              7       0  100.00%
condition/condition.py                                            19       1  94.74%   141
condition/condition_interface.py                                  37       4  89.19%   32, 76, 95, 125
condition/data_condition.py                                       26       1  96.15%   78
condition/domain_equation_condition.py                            19       0  100.00%
condition/input_equation_condition.py                             43       1  97.67%   157
condition/input_target_condition.py                               44       1  97.73%   172
data/__init__.py                                                   3       0  100.00%
data/data_module.py                                              201      22  89.05%   41-52, 132, 172, 193, 232, 313-317, 323-327, 399, 466, 546, 637, 639
data/dataset.py                                                   82       7  91.46%   42, 123-126, 256, 293
domain/__init__.py                                                10       0  100.00%
domain/cartesian.py                                              112      10  91.07%   37, 47, 75-76, 92, 97, 103, 246, 256, 264
domain/difference_domain.py                                       25       2  92.00%   54, 87
domain/domain_interface.py                                        20       5  75.00%   37-41
domain/ellipsoid.py                                              104      24  76.92%   52, 56, 127, 250-257, 269-282, 286-287, 290, 295
domain/exclusion_domain.py                                        28       1  96.43%   86
domain/intersection_domain.py                                     28       1  96.43%   85
domain/operation_interface.py                                     26       1  96.15%   88
domain/simplex.py                                                 72      14  80.56%   62, 207-225, 246-247, 251, 256
domain/union_domain.py                                            25       1  96.00%   43
equation/__init__.py                                               4       0  100.00%
equation/equation.py                                              15       1  93.33%   56
equation/equation_factory.py                                     101       1  99.01%   181
equation/equation_interface.py                                     4       0  100.00%
equation/system_equation.py                                       20       0  100.00%
loss/__init__.py                                                   9       0  100.00%
loss/linear_weighting.py                                          14       0  100.00%
loss/loss_interface.py                                            17       2  88.24%   45, 51
loss/lp_loss.py                                                   15       0  100.00%
loss/ntk_weighting.py                                             18       0  100.00%
loss/power_loss.py                                                15       0  100.00%
loss/scalar_weighting.py                                          16       0  100.00%
loss/self_adaptive_weighting.py                                   12       0  100.00%
loss/weighting_interface.py                                       29       3  89.66%   35, 41-42
model/__init__.py                                                 11       0  100.00%
model/average_neural_operator.py                                  31       2  93.55%   73, 82
model/deeponet.py                                                 93      13  86.02%   187-190, 209, 240, 283, 293, 303, 313, 323, 333, 488, 498
model/feed_forward.py                                             89      11  87.64%   58, 195, 200, 278-292
model/fourier_neural_operator.py                                  78      10  87.18%   96-100, 110, 155-159, 218, 220, 242, 342
model/graph_neural_operator.py                                    40       2  95.00%   58, 60
model/kernel_neural_operator.py                                   34       6  82.35%   83-84, 103-104, 123-124
model/low_rank_neural_operator.py                                 27       2  92.59%   89, 98
model/multi_feed_forward.py                                       12       5  58.33%   25-31
model/pirate_network.py                                           27       1  96.30%   118
model/spline.py                                                   89      37  58.43%   30, 41-66, 69, 128-132, 135, 159-177, 180
model/block/__init__.py                                           13       0  100.00%
model/block/average_neural_operator_block.py                      12       0  100.00%
model/block/convolution.py                                        64      13  79.69%   77, 81, 85, 91, 97, 111, 114, 151, 161, 171, 181, 191, 201
model/block/convolution_2d.py                                    146      27  81.51%   155, 162, 282, 314, 379-433, 456
model/block/embedding.py                                          48       7  85.42%   93, 143-146, 155, 168
model/block/fourier_block.py                                      31       0  100.00%
model/block/gno_block.py                                          22       4  81.82%   73-77, 87
model/block/integral.py                                           18       4  77.78%   22-25, 71
model/block/low_rank_block.py                                     24       0  100.00%
model/block/orthogonal.py                                         37       0  100.00%
model/block/pirate_network_block.py                               25       1  96.00%   89
model/block/pod_block.py                                          75      10  86.67%   56-59, 71, 84, 114, 151-156, 191, 216
model/block/rbf_block.py                                         179      25  86.03%   18, 42, 53, 64, 75, 86, 97, 223, 280, 282, 298, 301, 329, 335, 363, 367, 511-524
model/block/residual.py                                           46       0  100.00%
model/block/spectral.py                                           83       4  95.18%   132, 140, 262, 270
model/block/stride.py                                             28       7  75.00%   55, 58, 61, 67, 72-74
model/block/utils_convolution.py                                  22       3  86.36%   58-60
model/block/message_passing/__init__.py                            5       0  100.00%
model/block/message_passing/deep_tensor_network_block.py          21       0  100.00%
model/block/message_passing/en_equivariant_network_block.py       39       0  100.00%
model/block/message_passing/interaction_network_block.py          23       0  100.00%
model/block/message_passing/radial_field_network_block.py         20       0  100.00%
optim/__init__.py                                                  5       0  100.00%
optim/optimizer_interface.py                                       7       0  100.00%
optim/scheduler_interface.py                                       7       0  100.00%
optim/torch_optimizer.py                                          14       0  100.00%
optim/torch_scheduler.py                                          19       2  89.47%   5-6
problem/__init__.py                                                6       0  100.00%
problem/abstract_problem.py                                      117      12  89.74%   39-40, 59-70, 149, 161, 179, 253, 257, 286
problem/inverse_problem.py                                        22       0  100.00%
problem/parametric_problem.py                                      8       1  87.50%   29
problem/spatial_problem.py                                         8       0  100.00%
problem/time_dependent_problem.py                                  8       0  100.00%
problem/zoo/__init__.py                                            8       0  100.00%
problem/zoo/advection.py                                          23       4  82.61%   20, 73-75
problem/zoo/allen_cahn.py                                         23       3  86.96%   20-22
problem/zoo/diffusion_reaction.py                                 32       5  84.38%   103-113
problem/zoo/helmholtz.py                                          22       4  81.82%   59, 78-82
problem/zoo/inverse_poisson_2d_square.py                          48       3  93.75%   44-50
problem/zoo/poisson_2d_square.py                                  16       3  81.25%   61-66
problem/zoo/supervised_problem.py                                 11       0  100.00%
solver/__init__.py                                                 6       0  100.00%
solver/garom.py                                                  107       2  98.13%   129-130
solver/solver.py                                                 188      10  94.68%   195, 218, 290, 293-294, 353, 435, 518, 559, 565
solver/ensemble_solver/__init__.py                                 4       0  100.00%
solver/ensemble_solver/ensemble_pinn.py                           23       1  95.65%   104
solver/ensemble_solver/ensemble_solver_interface.py               27       0  100.00%
solver/ensemble_solver/ensemble_supervised.py                      9       0  100.00%
solver/physics_informed_solver/__init__.py                         8       0  100.00%
solver/physics_informed_solver/causal_pinn.py                     47       3  93.62%   157, 166-167
solver/physics_informed_solver/competitive_pinn.py                58       0  100.00%
solver/physics_informed_solver/gradient_pinn.py                   17       0  100.00%
solver/physics_informed_solver/pinn.py                            18       0  100.00%
solver/physics_informed_solver/pinn_interface.py                  54       3  94.44%   75, 166, 222
solver/physics_informed_solver/rba_pinn.py                        74       1  98.65%   324
solver/physics_informed_solver/self_adaptive_pinn.py             104       1  99.04%   392
solver/supervised_solver/__init__.py                               4       0  100.00%
solver/supervised_solver/reduced_order_model.py                   24       1  95.83%   137
solver/supervised_solver/supervised.py                             7       0  100.00%
solver/supervised_solver/supervised_solver_interface.py           25       1  96.00%   90
TOTAL                                                           4889     432  91.16%

Results for commit: 8442969

Minimum allowed coverage is 80.123%

♻️ This comment has been updated with latest results

GiovanniCanali · 2025-09-10T13:53:31Z

Hi @dario-coscia @FilippoOlivo!
I would aim to merge also the following issues for this update:

Most of them are almost ready, let's try to finish them all.

dario-coscia · 2025-09-11T15:49:19Z

Hi @dario-coscia @FilippoOlivo! I would aim to merge also the following issues for this update:

Coverage workflow on PR #548

Add possibility to normalize data #585

Tutorial HTML export #587

Improve Condition documentation #594

Implement EGNO #616

Graph Based ROM tutorial #623

Tutorial 16 writing error #630

Most of them are almost ready, let's try to finish them all.

Hi @GiovanniCanali, I commented some of them because I believe they will require a bit more time. Are you ok with this change?

GiovanniCanali · 2025-09-12T07:59:58Z

Hi @dario-coscia @FilippoOlivo! I would aim to merge also the following issues for this update:

Coverage workflow on PR #548

Add possibility to normalize data #585

Tutorial HTML export #587

Improve Condition documentation #594

Implement EGNO #616

Graph Based ROM tutorial #623

Tutorial 16 writing error #630

Most of them are almost ready, let's try to finish them all.

Hi @GiovanniCanali, I commented some of them because I believe they will require a bit more time. Are you ok with this change?

Sure, fine for me!

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

Co-authored-by: Federico Pichi <fpichi@sissa.it>

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

dario-coscia · 2025-09-15T17:40:43Z

We are almost there, it would be great to have it merged in a week time. #585 is in a good shape! If we cannot merge #548 and #587, it's not a problem. Instead, I would push for #638

GiovanniCanali · 2025-09-16T07:49:52Z

We are almost there, it would be great to have it merged in a week time. #585 is in a good shape! If we cannot merge #548 and #587, it's not a problem. Instead, I would push for #638

Great! Let's set Friday 19th as deadline.

* add normalizer callback * implement shift and scale parameters computation * change name files normalizer data callback * reduce tests * fix documentation * add NotImplementedError for PinaGraphDataset --------- Co-authored-by: FilippoOlivo <filippo@filippoolivo.com> Co-authored-by: giovanni <giovanni.canali98@yahoo.it>

* fix gpu data moving

GiovanniCanali · 2025-09-22T21:45:38Z

I would add #602 and #639, and then merge. What do you think @dario-coscia @FilippoOlivo?

@mstrazzu

* add maintainers * add codeowners * add governance * add affiliation Filippo Olivo in the committee/maintainers list * update affiliation for Nicola Demo in the committee/maintainers list * update governance policy to reflect PINA terminology * Clarify PINA Organisation references in charter (#651) * rm @mstrazzu from maintainers --------- Co-authored-by: FilippoOlivo <filippo@filippoolivo.com> Co-authored-by: Nicola Demo <demo.nicola@gmail.com>

dario-coscia and others added 9 commits September 8, 2025 14:22

fix compile issue (#627)

973d0c0

add mutual solver-weighting link

bacd7e2

add self-adaptive weighting

c42bdd5

weighting refactory

96402ba

Co-authored-by: Dario Coscia <dariocos99@gmail.com>

add linear weighting

ef35424

remove back compatibility files for version 0.2

684d691

simplify kwargs logic for equations

7469543

fix tensor getitem in graph_dataset (#633)

85b9edc

export tutorials changed in 85b9edc (#634)

f3ccfd4

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

GiovanniCanali requested review from FilippoOlivo and dario-coscia September 10, 2025 13:36

GiovanniCanali assigned dario-coscia, GiovanniCanali and FilippoOlivo Sep 10, 2025

GiovanniCanali added pr-to-fix Label for PR that needs modification maintenance labels Sep 10, 2025

GiovanniCanali linked an issue Sep 10, 2025 that may be closed by this pull request

Getitem in GraphDataset not working for 2d tensors #632

Closed

GiovanniCanali removed a link to an issue Sep 10, 2025

Tutorial 16 writing error #630

Closed

add exhaustive doc for condition module (#629)

a0015c3

GiovanniCanali linked an issue Sep 11, 2025 that may be closed by this pull request

Improve Condition documentation #594

Closed

fix minor errors tut 16/21 (#635)

e033f3b

export tutorials changed in e033f3b (#641)

c709f38

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

dario-coscia mentioned this pull request Sep 14, 2025

Add Normalizer Callback #631

Merged

4 tasks

GiovanniCanali linked an issue Sep 15, 2025 that may be closed by this pull request

Tutorial 16 writing error #630

Closed

dario-coscia marked this pull request as ready for review September 15, 2025 17:28

dario-coscia and others added 2 commits September 15, 2025 19:31

tut22 (#637)

9c60f61

Co-authored-by: Federico Pichi <fpichi@sissa.it>

export tutorials changed in 9c60f61 (#643)

ef75f13

Co-authored-by: dario-coscia <dario-coscia@users.noreply.github.com>

GiovanniCanali linked an issue Sep 16, 2025 that may be closed by this pull request

Graph Based ROM tutorial #623

Closed

GiovanniCanali linked an issue Sep 16, 2025 that may be closed by this pull request

Add possibility to normalize data #585

Closed

pass method argument to fast laplacian (#648)

87c5c6a

GiovanniCanali linked an issue Sep 18, 2025 that may be closed by this pull request

laplacian method argument not used #647

Closed

FilippoOlivo and others added 4 commits September 19, 2025 13:42

Fix basis device transfer in PODBlock (#650)

4a6e73f

* fix gpu data moving

Update Laplace class and add unit tests (#645)

4e37468

version 0.2.3

da3bc62

fix codacy

8dbefe8

dario-coscia added pr-to-review Label for PR that are ready to been reviewed and removed pr-to-fix Label for PR that needs modification labels Sep 23, 2025

dario-coscia approved these changes Sep 23, 2025

View reviewed changes

FilippoOlivo approved these changes Sep 23, 2025

View reviewed changes

dario-coscia changed the title ~~Dev update~~ Dev Updates - 0.2.3 Sep 23, 2025

dario-coscia merged commit b5e4d13 into master Sep 23, 2025
18 of 19 checks passed

This was referenced Sep 23, 2025

PODBlock doesn't work on GPU #649

Closed

Add the possibility to enforce a fixed laplacian + equation factory tests #644

Closed

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Dev Updates - 0.2.3#636

Dev Updates - 0.2.3#636
dario-coscia merged 21 commits intomasterfrom
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