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Fix README

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FilippoOlivo
2025-03-20 09:17:15 +01:00
parent e084f85386
commit a02c3386f6
1 changed files with 15 additions and 6 deletions
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README.md
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@@ -195,12 +195,20 @@ class Poisson(SpatialProblem):
laplacian_u = laplacian(output_, input_, components=['u'], d=['x', 'y']) laplacian_u = laplacian(output_, input_, components=['u'], d=['x', 'y'])
return laplacian_u - force_term return laplacian_u - force_term
domains = {
'g1': CartesianDomain({'x': [0, 1], 'y': 1}),
'g2': CartesianDomain({'x': [0, 1], 'y': 0}),
'g3': CartesianDomain({'x': 1, 'y': [0, 1]}),
'g4': CartesianDomain({'x': 0, 'y': [0, 1]}),
'D': CartesianDomain({'x': [0, 1], 'y': [0, 1]})
}
conditions = { conditions = {
'gamma1': Condition(location=CartesianDomain({'x': [0, 1], 'y': 1}), equation=FixedValue(0.)), 'gamma1': Condition(domain='g1', equation=FixedValue(0.)),
'gamma2': Condition(location=CartesianDomain({'x': [0, 1], 'y': 0}), equation=FixedValue(0.)), 'gamma2': Condition(domain='g2', equation=FixedValue(0.)),
'gamma3': Condition(location=CartesianDomain({'x': 1, 'y': [0, 1]}), equation=FixedValue(0.)), 'gamma3': Condition(domain='g3', equation=FixedValue(0.)),
'gamma4': Condition(location=CartesianDomain({'x': 0, 'y': [0, 1]}), equation=FixedValue(0.)), 'gamma4': Condition(domain='g4', equation=FixedValue(0.)),
'D': Condition(location=CartesianDomain({'x': [0, 1], 'y': [0, 1]}), equation=Equation(laplace_equation)), 'D': Condition(domain='D', equation=Equation(laplace_equation)),
} }
``` ```
@@ -215,7 +223,8 @@ model = FeedForward(
output_dimensions=len(problem.output_variables), output_dimensions=len(problem.output_variables),
input_dimensions=len(problem.input_variables) input_dimensions=len(problem.input_variables)
) )
pinn = PINN(problem, model, optimizer_kwargs={'lr':0.006, 'weight_decay':1e-8}) optimizer = TorchOptimizer(torch.optim.Adam, lr=0.006, weight_decay=1e-8)
pinn = PINN(problem, model, optimizer=optimizer)
trainer = Trainer(pinn, max_epochs=1000, accelerator='gpu', enable_model_summary=False, batch_size=8) trainer = Trainer(pinn, max_epochs=1000, accelerator='gpu', enable_model_summary=False, batch_size=8)
# train # train