41 lines
1.1 KiB
Python
41 lines
1.1 KiB
Python
from pina.solver 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.callback 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 = ["g1", "g2", "g3", "g4"]
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n = 10
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poisson_problem.discretise_domain(n, "grid", domains=boundaries)
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poisson_problem.discretise_domain(n, "grid", domains="D")
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model = FeedForward(
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len(poisson_problem.input_variables), len(poisson_problem.output_variables)
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)
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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(
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solver=solver,
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callbacks=[MetricTracker()],
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accelerator="cpu",
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max_epochs=5,
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log_every_n_steps=1,
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)
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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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assert logged_metrics == ["train_loss"]
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