42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
from pina.solvers import PINN
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from pina.trainer import Trainer
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from pina.model import FeedForward
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from pina.callbacks import MetricTracker
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from pina.problem.zoo import Poisson2DSquareProblem as Poisson
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# make the problem
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poisson_problem = Poisson()
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boundaries = ['nil_g1', 'nil_g2', 'nil_g3', 'nil_g4']
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n = 10
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poisson_problem.discretise_domain(n, 'grid', locations=boundaries)
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model = FeedForward(len(poisson_problem.input_variables),
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len(poisson_problem.output_variables))
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# make the solver
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solver = PINN(problem=poisson_problem, model=model)
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def test_metric_tracker_constructor():
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MetricTracker()
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def test_metric_tracker_routine():
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# make the trainer
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trainer = Trainer(solver=solver,
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callbacks=[
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MetricTracker()
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],
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accelerator='cpu',
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max_epochs=5)
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trainer.train()
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# get the tracked metrics
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metrics = trainer.callbacks[0].metrics
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# assert the logged metrics are correct
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logged_metrics = sorted(list(metrics.keys()))
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total_metrics = sorted(
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list([key + '_loss' for key in poisson_problem.conditions.keys()])
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+ ['mean_loss'])
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assert logged_metrics == total_metrics
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