Fix Codacy Warnings (#477)
--------- Co-authored-by: Dario Coscia <dariocos99@gmail.com>
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committed by
Nicola Demo
parent
e3790e049a
commit
4177bfbb50
@@ -10,18 +10,20 @@ from pina.optim import TorchOptimizer
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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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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(len(poisson_problem.input_variables),
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len(poisson_problem.output_variables))
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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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adam_optimizer = TorchOptimizer(torch.optim.Adam, lr=0.01)
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lbfgs_optimizer = TorchOptimizer(torch.optim.LBFGS, lr= 0.001)
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lbfgs_optimizer = TorchOptimizer(torch.optim.LBFGS, lr=0.001)
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def test_switch_optimizer_constructor():
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SwitchOptimizer(adam_optimizer, epoch_switch=10)
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