Time-dependent with multiple timesteps #20
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examples/burgers_n2n/config.py
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| from models.burgers_n2n import * | |||
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If this file is identical to examples/burgers/config.py, perhaps you could avoid duplicating all these lines by just having the single line from examples.burgers.config import *?
examples/burgers_one2n/config.py
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| from models.burgers_one2n import * | |||
examples/burgers_n2n/network.py
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| from nn_adapt.layout import NetLayoutBase | |||
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Similarly, you could plausibly import from examples/burgers/network.py, unless you plan to change the network architecture.
examples/burgers_one2n/network.py
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| from nn_adapt.layout import NetLayoutBase | |||
examples/makefile
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| MODEL = steady_turbine | ||
| NUM_TRAINING_CASES = 100 | ||
| MODEL = burgers | ||
| NUM_TRAINING_CASES = 1 |
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This is okay to start off with. However, further down the line I think it would be a good idea to use a larger number of cases.
nn_adapt/solving_one2n.py
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| q_plus = solver_obj_plus.solution | ||
| # J = config.get_qoi(refined_mesh[-1])(q_plus[-1]) |
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I don't think you need these lines.
nn_adapt/solving_one2n.py
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| V_plus = adj_sol_plus[step].function_space() | ||
| fwd_sol_plg = Function(V_plus) | ||
| tm.prolong(out["forward"][step], fwd_sol_plg) | ||
| adj_sol_plg = Function(V_plus) | ||
| tm.prolong(out["adjoint"][step], adj_sol_plg) |
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Yes, this looks right.
nn_adapt/solving_one2n.py
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| # Evaluate errors | ||
| dwr += dwr_indicator(config, mesh, fwd_sol_plg, adj_error) | ||
| dwr_list.append(dwr_indicator(config, mesh, fwd_sol_plg, adj_error)) |
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Nice. So these can be used as the "target" data for each timestep.
nn_adapt/solving_one2n.py
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| return out if retall else out["dwr"] | ||
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| def dwr_indicator(config, mesh, q, q_star): |
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Again, if this is unmodified then you can just import it from solving.py, to avoid duplication.
examples/models/burgers_one2n.py
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| self._solver.solve() | ||
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| class Solver_one2n(nn_adapt.solving.Solver): |
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If this is largely the same as the Solver class in examples.models.burgers then you could just define this to be a subclass of it. That way, you only need to write out the methods that are different and don't need to repeat the others.
This PR mainly exists to provide feedback,