folivo/PINA
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Improve conditions and refactor dataset classes (#475)

Browse Source 
* Reimplement conditions

* Refactor datasets and implement LabelBatch

---------

Co-authored-by: Dario Coscia <dariocos99@gmail.com>
This commit is contained in:
Filippo Olivo
2025-03-07 11:24:09 +01:00
committed by Nicola Demo
parent bdad144461
commit a0cbf1c44a
40 changed files with 943 additions and 550 deletions
Download Patch File Download Diff File Expand all files Collapse all files

12
tests/test_solver/test_rba_pinn.py
View File

@@ -6,8 +6,8 @@ from pina.model import FeedForward
from pina.trainer import Trainer
from pina.solver import RBAPINN
from pina.condition import (
InputOutputPointsCondition,
InputPointsEquationCondition,
InputTargetCondition,
InputEquationCondition,
DomainEquationCondition
)
from pina.problem.zoo import (
@@ -32,8 +32,8 @@ input_pts = LabelTensor(input_pts, problem.input_variables)
output_pts = torch.rand(50, len(problem.output_variables))
output_pts = LabelTensor(output_pts, problem.output_variables)
problem.conditions['data'] = Condition(
input_points=input_pts,
output_points=output_pts
input=input_pts,
target=output_pts
)
@@ -46,8 +46,8 @@ def test_constructor(problem, eta, gamma):
solver = RBAPINN(model=model, problem=problem, eta=eta, gamma=gamma)
assert solver.accepted_conditions_types == (
InputOutputPointsCondition,
InputPointsEquationCondition,
InputTargetCondition,
InputEquationCondition,
DomainEquationCondition
)