Update callbacks and tests (#482)

---------

Co-authored-by: giovanni <giovanni.canali98@yahoo.it>
This commit is contained in:
Dario Coscia
2025-03-13 16:19:38 +01:00
committed by FilippoOlivo
parent 18d178ab3a
commit 9dab6380f8
8 changed files with 264 additions and 229 deletions

View File

@@ -5,29 +5,32 @@ from pina.callback.processing_callback import PINAProgressBar
from pina.problem.zoo import Poisson2DSquareProblem as Poisson
# # make the problem
# poisson_problem = Poisson()
# boundaries = ['nil_g1', 'nil_g2', 'nil_g3', 'nil_g4']
# n = 10
# poisson_problem.discretise_domain(n, 'grid', locations=boundaries)
# poisson_problem.discretise_domain(n, 'grid', locations='laplace_D')
# model = FeedForward(len(poisson_problem.input_variables),
# len(poisson_problem.output_variables))
# make the problem
poisson_problem = Poisson()
boundaries = ["g1", "g2", "g3", "g4"]
n = 10
condition_names = list(poisson_problem.conditions.keys())
poisson_problem.discretise_domain(n, "grid", domains=boundaries)
poisson_problem.discretise_domain(n, "grid", domains="D")
model = FeedForward(
len(poisson_problem.input_variables), len(poisson_problem.output_variables)
)
# # make the solver
# solver = PINN(problem=poisson_problem, model=model)
# make the solver
solver = PINN(problem=poisson_problem, model=model)
# def test_progress_bar_constructor():
# PINAProgressBar(['mean'])
def test_progress_bar_constructor():
PINAProgressBar()
# def test_progress_bar_routine():
# # make the trainer
# trainer = Trainer(solver=solver,
# callback=[
# PINAProgressBar(['mean', 'laplace_D'])
# ],
# accelerator='cpu',
# max_epochs=5)
# trainer.train()
# # TODO there should be a check that the correct metrics are displayed
def test_progress_bar_routine():
# make the trainer
trainer = Trainer(
solver=solver,
callbacks=[PINAProgressBar(["val", condition_names[0]])],
accelerator="cpu",
max_epochs=5,
)
trainer.train()
# TODO there should be a check that the correct metrics are displayed