diff --git a/examples/simpleTransient/adjoint.i b/examples/simpleTransient/adjoint.i index 68251102..6ccdd02c 100644 --- a/examples/simpleTransient/adjoint.i +++ b/examples/simpleTransient/adjoint.i @@ -76,6 +76,7 @@ coord_y = src_values/coordy time = src_values/time value = src_values/values + time_shift_factor = 0.5 [] [] @@ -97,6 +98,9 @@ solve_type = NEWTON petsc_options_iname = '-pc_type -pc_hypre_type' petsc_options_value = 'hypre boomeramg' + [TimeIntegrator] + type = ImplicitEuler + [] [] [Outputs] diff --git a/examples/simpleTransient/forward.i b/examples/simpleTransient/forward.i index 77e51cea..99ec6129 100644 --- a/examples/simpleTransient/forward.i +++ b/examples/simpleTransient/forward.i @@ -24,13 +24,13 @@ [] [] -[ICs] - [initial] - type = FunctionIC - variable = u - function = exact - [] -[] +#[ICs] +# [initial] +# type = FunctionIC +# variable = u +# function = exact +# [] +#[] [Kernels] [dt] @@ -76,10 +76,12 @@ num_steps = 100 end_time = 1 - solve_type = NEWTON petsc_options_iname = '-pc_type -pc_hypre_type' petsc_options_value = 'hypre boomeramg' + [TimeIntegrator] + type = ImplicitEuler + [] [] [Reporters] diff --git a/examples/simpleTransient/gold/main_bfgs_out.json b/examples/simpleTransient/gold/main_bfgs_out.json new file mode 100644 index 00000000..f47154a4 --- /dev/null +++ b/examples/simpleTransient/gold/main_bfgs_out.json @@ -0,0 +1,40207 @@ +{ + "reporters": { + "OptimizationReporter": { + "type": "ObjectiveGradientMinimize", + "values": { + "adjoint": { + "type": "std::vector" + }, + "measurement_time": { + "type": "std::vector" + }, + "measurement_values": { + "type": "std::vector" + }, + "measurement_xcoord": { + "type": "std::vector" + }, + "measurement_ycoord": { + "type": "std::vector" + }, + "measurement_zcoord": { + "type": "std::vector" + }, + "misfit_values": { + "type": "std::vector" + }, + "simulation_values": { + "type": "std::vector" + }, + "source": { + "type": "std::vector" + } + } + } + }, + "time_steps": [ + { + 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0.02019945032110107 - ] - }, - "time": 1.0, - "time_step": 1 - } - ] -} diff --git a/examples/simpleTransient/homogeneous_forward.i b/examples/simpleTransient/homogeneous_forward.i new file mode 100755 index 00000000..99ec6129 --- /dev/null +++ b/examples/simpleTransient/homogeneous_forward.i @@ -0,0 +1,105 @@ +[Mesh] + [gmg] + type = GeneratedMeshGenerator + dim = 2 + nx = 10 + ny = 10 + xmin = -1 + xmax = 1 + ymin = -1 + ymax = 1 + [] +[] + +[Variables] + [u] + [] +[] + +[VectorPostprocessors] + [src_values] + type = CSVReader + csv_file = source_params.csv + header = true + [] +[] + +#[ICs] +# [initial] +# type = FunctionIC +# variable = u +# function = exact +# [] +#[] + +[Kernels] + [dt] + type = TimeDerivative + variable = u + [] + [diff] + type = Diffusion + variable = u + [] + [src] + type = BodyForce + variable = u + function = source + [] +[] + +[BCs] + [dirichlet] + type = DirichletBC + variable = u + boundary = 'left right top bottom' + value = 0 + [] +[] + +[Functions] + [exact] + type = ParsedFunction + value = '2*exp(-2.0*(x - sin(2*pi*t))^2)*exp(-2.0*(y - cos(2*pi*t))^2)*cos((1/2)*x*pi)*cos((1/2)*y*pi)/pi' + [] + [source] + type = VectorNearestPointFunction + coord_x = src_values/coordx + coord_y = src_values/coordy + time = src_values/time + value = src_values/values + [] +[] + +[Executioner] + type = Transient + + num_steps = 100 + end_time = 1 + solve_type = NEWTON + petsc_options_iname = '-pc_type -pc_hypre_type' + petsc_options_value = 'hypre boomeramg' + [TimeIntegrator] + type = ImplicitEuler + [] +[] + +[Reporters] + [measured_data] + type = OptimizationData + measurement_file = mms_data.csv + file_xcoord = x + file_ycoord = y + file_zcoord = z + file_time = t + file_value = u + variable = u + execute_on = timestep_end + outputs = csv + [] +[] + +[Outputs] + exodus = true + console = false +[] diff --git a/examples/simpleTransient/main.i b/examples/simpleTransient/main.i deleted file mode 100644 index bf01457d..00000000 --- a/examples/simpleTransient/main.i +++ /dev/null @@ -1,47 +0,0 @@ -[StochasticTools] -[] - -[OptimizationReporter] - type = ObjectiveMinimize - - parameter_names = 'source' - num_values = '44' -[] - -[MultiApps] - [forward] - type = OptimizeFullSolveMultiApp - input_files = forward.i - execute_on = FORWARD - [] -[] - -[Transfers] - [params] - type = MultiAppReporterTransfer - to_multi_app = forward - from_reporters = 'OptimizationReporter/source' - to_reporters = 'src_values/values' - [] - [data] - type = MultiAppReporterTransfer - from_multi_app = forward - from_reporters = 'measured_data/misfit_values measured_data/simulation_values' - to_reporters = 'OptimizationReporter/misfit_values OptimizationReporter/simulation_values' - [] -[] - -[Executioner] - type = Optimize - solve_on = none - tao_solver = taonm - petsc_options_iname='-tao_gatol' - petsc_options_value='1e-2' - verbose = true -[] - -[Outputs] - [out] - type = JSON - [] -[] diff --git a/examples/simpleTransient/main_gradient.i b/examples/simpleTransient/main_bfgs.i old mode 100644 new mode 100755 similarity index 54% rename from examples/simpleTransient/main_gradient.i rename to examples/simpleTransient/main_bfgs.i index ac032aa0..a09020dc --- a/examples/simpleTransient/main_gradient.i +++ b/examples/simpleTransient/main_bfgs.i @@ -31,14 +31,22 @@ [from_forward] type = MultiAppReporterTransfer from_multi_app = forward - from_reporters = 'measured_data/misfit_values measured_data/simulation_values' - to_reporters = 'OptimizationReporter/misfit_values OptimizationReporter/simulation_values' + from_reporters = 'measured_data/misfit_values + measured_data/simulation_values + measured_data/measurement_values + measured_data/measurement_time' + to_reporters = 'OptimizationReporter/misfit_values + OptimizationReporter/simulation_values + OptimizationReporter/measurement_values + OptimizationReporter/measurement_time' [] [to_adjoint] type = MultiAppReporterTransfer to_multi_app = adjoint - from_reporters = 'OptimizationReporter/source OptimizationReporter/misfit_values' - to_reporters = 'src_values/values measured_data/misfit_values' + from_reporters = 'OptimizationReporter/source + OptimizationReporter/misfit_values' + to_reporters = 'src_values/values + measured_data/misfit_values' [] [from_adjoint] type = MultiAppReporterTransfer @@ -52,13 +60,16 @@ type = Optimize solve_on = none tao_solver = taolmvm - petsc_options_iname='-tao_gatol -tao_ls_type' - petsc_options_value='1e-3 unit' + petsc_options_iname='-tao_gatol -tao_ls_type' + petsc_options_value='2e-4 unit' +# petsc_options_iname='-tao_gatol -tao_ls_type -tao_test_gradient' +# petsc_options_value='1e-3 unit true' verbose = true [] [Outputs] [out] + execute_system_information_on=none type = JSON [] [] diff --git a/examples/simpleTransient/main_gradcheck.i b/examples/simpleTransient/main_gradcheck.i new file mode 100755 index 00000000..d8b71321 --- /dev/null +++ b/examples/simpleTransient/main_gradcheck.i @@ -0,0 +1,74 @@ +[StochasticTools] +[] + +[OptimizationReporter] + type = ObjectiveGradientMinimize + + parameter_names = 'source' + num_values = '44' +[] + +[MultiApps] + [forward] + type = OptimizeFullSolveMultiApp + input_files = forward.i + execute_on = FORWARD + [] + [adjoint] + type = OptimizeFullSolveMultiApp + input_files = adjoint.i + execute_on = ADJOINT + [] +[] + +[Transfers] + [to_forward] + type = MultiAppReporterTransfer + to_multi_app = forward + from_reporters = 'OptimizationReporter/source' + to_reporters = 'src_values/values' + [] + [from_forward] + type = MultiAppReporterTransfer + from_multi_app = forward + from_reporters = 'measured_data/misfit_values + measured_data/simulation_values + measured_data/measurement_values + measured_data/measurement_time' + to_reporters = 'OptimizationReporter/misfit_values + OptimizationReporter/simulation_values + OptimizationReporter/measurement_values + OptimizationReporter/measurement_time' + [] + [to_adjoint] + type = MultiAppReporterTransfer + to_multi_app = adjoint + from_reporters = 'OptimizationReporter/source + OptimizationReporter/misfit_values' + to_reporters = 'src_values/values + measured_data/misfit_values' + [] + [from_adjoint] + type = MultiAppReporterTransfer + from_multi_app = adjoint + from_reporters = 'adjoint/inner_product' + to_reporters = 'OptimizationReporter/adjoint' + [] +[] + +[Executioner] + type = Optimize + solve_on = none + tao_solver =taolmvm + petsc_options_iname='-tao_max_it -tao_fd_test -tao_test_gradient -tao_fd_gradient -tao_fd_delta' + petsc_options_value='1 true true false 1e-6' + #petsc_options = '-tao_test_gradient_view' + verbose = true +[] + +[Outputs] + [out] + execute_system_information_on=none + type = JSON + [] +[] diff --git a/examples/simpleTransient/main_nls.i b/examples/simpleTransient/main_nls.i new file mode 100755 index 00000000..4866b141 --- /dev/null +++ b/examples/simpleTransient/main_nls.i @@ -0,0 +1,101 @@ +[StochasticTools] +[] + +[OptimizationReporter] + type = ObjectiveGradientMinimize + + parameter_names = 'source' + num_values = '44' +[] + +[MultiApps] + [forward] + type = OptimizeFullSolveMultiApp + input_files = forward.i + execute_on = FORWARD + [] + [adjoint] + type = OptimizeFullSolveMultiApp + input_files = adjoint.i + execute_on = ADJOINT + [] + [homogeneous_forward] + type = OptimizeFullSolveMultiApp + input_files = homogeneous_forward.i + execute_on = HOMOGENEOUS_FORWARD + [] +[] + +[Transfers] + [to_forward] + type = MultiAppReporterTransfer + to_multi_app = forward + from_reporters = 'OptimizationReporter/source' + to_reporters = 'src_values/values' + [] + [from_forward] + type = MultiAppReporterTransfer + from_multi_app = forward + from_reporters = 'measured_data/misfit_values + measured_data/simulation_values + measured_data/measurement_values + measured_data/measurement_time' + to_reporters = 'OptimizationReporter/misfit_values + OptimizationReporter/simulation_values + OptimizationReporter/measurement_values + OptimizationReporter/measurement_time' + [] + [to_adjoint] + type = MultiAppReporterTransfer + to_multi_app = adjoint + from_reporters = 'OptimizationReporter/source + OptimizationReporter/misfit_values' + to_reporters = 'src_values/values + measured_data/misfit_values' + [] + [from_adjoint] + type = MultiAppReporterTransfer + from_multi_app = adjoint + from_reporters = 'adjoint/inner_product' + to_reporters = 'OptimizationReporter/adjoint' + [] + [to_homogeneous_forward] + type = MultiAppReporterTransfer + to_multi_app = homogeneous_forward + from_reporters = 'OptimizationReporter/source' + to_reporters = 'src_values/values' + [] + [from_homogeneous_forward] + type = MultiAppReporterTransfer + from_multi_app = homogeneous_forward + from_reporters = 'measured_data/misfit_values + measured_data/simulation_values + measured_data/measurement_values + measured_data/measurement_time' + to_reporters = 'OptimizationReporter/misfit_values + OptimizationReporter/simulation_values + OptimizationReporter/measurement_values + OptimizationReporter/measurement_time' + [] +[] + +[Executioner] + type = Optimize + solve_on = none + tao_solver = taonls + petsc_options_iname='-tao_gatol -tao_nls_pc_type -tao_nls_ksp_type' + petsc_options_value='2e-4 none cg' + #tao_solver = lmvm + #petsc_options_iname='-tao_gatol -tao_ls_type' + #petsc_options_value='1e-3 unit' + #petsc_options_iname='-tao_gatol -tao_ls_type -tao_test_gradient' + #petsc_options_value='1e-3 unit true' + verbose = true +[] + +[Outputs] + [out] + execute_system_information_on=none + type = JSON + [] +[] diff --git a/examples/simpleTransient/tests b/examples/simpleTransient/tests index daf4d22c..2ced74ce 100644 --- a/examples/simpleTransient/tests +++ b/examples/simpleTransient/tests @@ -3,26 +3,24 @@ design = 'ObjectiveMinimize.md' issues = '#42' requirement = 'The system shall be able to perform force-inversion optimization with time-dependent parameters and outputs with' - [objective] + [gradient] type = JSONDiff - input = main.i - cli_args = "-tao_gatol 90 Outputs/out/execute_system_information_on=none - OptimizationReporter/initial_condition='0.017248124297389537 -0.4383269038787613 -1.0120688493193575 -0.604005388481836 -1.4561640635027022 3.231744273062789 0.30497109596745786 0.44633697183648136 0.01016924485170484 2.102321678477381 -0.6633902660583816 0.8744951418636224 -1.6563188219465808 -0.7960335532123246 -0.8868197436891168 3.4789948727882036 1.221786635733348 -1.3649297188353513 0.6718141978617336 1.073784058368632 -0.20990475499085504 -0.23140796936323005 2.719922596118634 0.49032306047413676 0.5754881340320752 -1.4387408219638242 0.5868285452264156 -0.26563061173982583 0.7632228812045031 0.5847693390767825 1.2297597229219401 0.018872725738175458 1.3701093737026238 0.5124595468128872 0.388110595828123 0.11247112873355217 0.9234434408370418 0.3748330890983532 -0.1772288909293001 -0.9744206675334496 -0.3917172574619362 -0.2538603477404897 0.5517774216239373 0.07213835476751881'" - jsondiff = main_out.json - rel_err = 1e-4 + input = main_bfgs.i + jsondiff = main_bfgs_out.json + rel_err = 1e-2 + abs_zero = 1e-2 heavy = true method = OPT - detail = 'only forward solve;' + detail = ' bfgs solve;' [] - [gradient] + [hessian] type = JSONDiff - input = main_gradient.i - cli_args = 'Outputs/out/execute_system_information_on=none' - jsondiff = main_gradient_out.json + input = main_nls.i + jsondiff = main_nls_out.json rel_err = 1e-4 heavy = true method = OPT - detail = 'adjoint solve;' + detail = ' nls solve;' [] [] -[] \ No newline at end of file +[] diff --git a/include/functions/VectorNearestPointFunction.h b/include/functions/VectorNearestPointFunction.h index 6f09b0db..33f54858 100644 --- a/include/functions/VectorNearestPointFunction.h +++ b/include/functions/VectorNearestPointFunction.h @@ -19,7 +19,6 @@ class VectorNearestPointFunction : public OptimizationFunction, public ReporterI VectorNearestPointFunction(const InputParameters & parameters); - using Function::value; virtual Real value(Real t, const Point & p) const override; virtual RealGradient gradient(Real t, const Point & p) const override; virtual Real timeDerivative(Real t, const Point & p) const override; @@ -47,6 +46,8 @@ class VectorNearestPointFunction : public OptimizationFunction, public ReporterI const std::vector & _coordt; /// values from reporter const std::vector & _values; + /// time-shift factor for gradient + const Real & _time_shift_factor; /// Number of values from coordinate vectors mutable std::size_t _nval; diff --git a/src/functions/VectorNearestPointFunction.C b/src/functions/VectorNearestPointFunction.C index c11a6d44..634b16e2 100644 --- a/src/functions/VectorNearestPointFunction.C +++ b/src/functions/VectorNearestPointFunction.C @@ -29,6 +29,10 @@ VectorNearestPointFunction::validParams() "Vector value containing z-coordinate of points, default is assumed to be all 0s."); params.addParam("time", "Vector value containing time, default is assumed to be all 0s."); + params.addParam("time_shift_factor", + 1.0, + "Fractional split in time step to get the correct parameter gradient"); + params.addRequiredParam("value", "Reporter containing value data."); return params; } @@ -40,7 +44,8 @@ VectorNearestPointFunction::VectorNearestPointFunction(const InputParameters & p _coordy(isParamValid("coord_y") ? getReporterValue>("coord_y") : _empty_vec), _coordz(isParamValid("coord_z") ? getReporterValue>("coord_z") : _empty_vec), _coordt(isParamValid("time") ? getReporterValue>("time") : _empty_vec), - _values(getReporterValue>("value")) + _values(getReporterValue>("value")), + _time_shift_factor(getParam("time_shift_factor")) { } diff --git a/src/vectorpostprocessors/ElementOptimizationSourceFunctionInnerProduct.C b/src/vectorpostprocessors/ElementOptimizationSourceFunctionInnerProduct.C index 9aebe2fe..39a0461e 100644 --- a/src/vectorpostprocessors/ElementOptimizationSourceFunctionInnerProduct.C +++ b/src/vectorpostprocessors/ElementOptimizationSourceFunctionInnerProduct.C @@ -21,7 +21,7 @@ ElementOptimizationSourceFunctionInnerProduct::validParams() params.addParam( "reverse_time_end", 0.0, - "End time used for reversiing the time integration when evaluating function derivative."); + "End time used for reversing the time integration when evaluating function derivative."); return params; } @@ -61,6 +61,7 @@ ElementOptimizationSourceFunctionInnerProduct::execute() for (unsigned int qp = 0; qp < _qrule->n_points(); ++qp) { const std::vector pg = _function->parameterGradient(at, _q_point[qp]); + const std::vector pg_old = _function->parameterGradient(at - _dt, _q_point[qp]); _curr_time_ip->resize(std::max(pg.size(), _curr_time_ip->size()), 0.0); for (const auto & i : index_range(pg)) (*_curr_time_ip)[i] += _JxW[qp] * _coord[qp] * _var[qp] * pg[i]; @@ -95,14 +96,15 @@ ElementOptimizationSourceFunctionInnerProduct::finalize() it.second.resize(nvar); _vec.assign(nvar, 0.0); - // Integrate in time using quadrature rule + // Compute the inner product by summing. No quadrature in time since the + // goal is to make it consistent with discretize and differentiate approach + // as opposed to differentiate then discretize std::sort(_time_ip.begin(), _time_ip.end(), [](const std::pair> & a, const std::pair> & b) { return a.first < b.first; }); - for (std::size_t ti = 1; ti < _time_ip.size(); ++ti) + for (std::size_t ti = 0; ti < _time_ip.size(); ++ti) for (const auto & i : make_range(nvar)) - _vec[i] += (_time_ip[ti].second[i] + _time_ip[ti - 1].second[i]) / 2.0 * - (_time_ip[ti].first - _time_ip[ti - 1].first); + _vec[i] += _time_ip[ti].second[i]; } } diff --git a/test/tests/vectorpostprocessors/element_source_inner_product/gold/element_source_inner_product_out_inner_product_0011.csv b/test/tests/vectorpostprocessors/element_source_inner_product/gold/element_source_inner_product_out_inner_product_0011.csv index 682d70ba..06431272 100644 --- a/test/tests/vectorpostprocessors/element_source_inner_product/gold/element_source_inner_product_out_inner_product_0011.csv +++ b/test/tests/vectorpostprocessors/element_source_inner_product/gold/element_source_inner_product_out_inner_product_0011.csv @@ -1,25 +1,25 @@ inner_product -0.01125 -0.01125 -0.01125 -0.01125 -0.01125 -0.01125 -0.01125 -0.01125 -0.03125 -0.03125 -0.03125 -0.03125 -0.03125 -0.03125 -0.03125 -0.03125 -0.02625 -0.02625 -0.02625 -0.02625 -0.02625 -0.02625 -0.02625 -0.02625 +0.175 +0.175 +0.175 +0.175 +0.175 +0.175 +0.175 +0.175 +0.3125 +0.3125 +0.3125 +0.3125 +0.3125 +0.3125 +0.3125 +0.3125 +0.325 +0.325 +0.325 +0.325 +0.325 +0.325 +0.325 +0.325