- check_multiapp_execute_onFalseWhen false the check between the multiapp and transfer execute on flags is not performed.
Default:False
C++ Type:bool
Controllable:No
Description:When false the check between the multiapp and transfer execute on flags is not performed.
- displaced_source_meshFalseWhether or not to use the displaced mesh for the source mesh.
Default:False
C++ Type:bool
Controllable:No
Description:Whether or not to use the displaced mesh for the source mesh.
- displaced_target_meshFalseWhether or not to use the displaced mesh for the target mesh.
Default:False
C++ Type:bool
Controllable:No
Description:Whether or not to use the displaced mesh for the target mesh.
- execute_onSAME_AS_MULTIAPPThe list of flag(s) indicating when this object should be executed. For a description of each flag, see https://mooseframework.inl.gov/source/interfaces/SetupInterface.html.
Default:SAME_AS_MULTIAPP
C++ Type:ExecFlagEnum
Controllable:No
Description:The list of flag(s) indicating when this object should be executed. For a description of each flag, see https://mooseframework.inl.gov/source/interfaces/SetupInterface.html.
- from_multi_appThe name of the MultiApp to receive data from
C++ Type:MultiAppName
Controllable:No
Description:The name of the MultiApp to receive data from
- parametersA list of parameters (on the sub application) to control with the Sampler data. The order of the parameters listed here should match the order of the items in the Sampler.
C++ Type:std::vector<std::string>
Controllable:No
Description:A list of parameters (on the sub application) to control with the Sampler data. The order of the parameters listed here should match the order of the items in the Sampler.
- samplerA the Sampler object that Transfer is associated..
C++ Type:SamplerName
Controllable:No
Description:A the Sampler object that Transfer is associated..
- to_multi_appThe name of the MultiApp to transfer the data to
C++ Type:MultiAppName
Controllable:No
Description:The name of the MultiApp to transfer the data to
SamplerParameterTransfer
The SamplerParameterTransfer works in union with the Samplers and Controls systems to transfer data to sub-applications to perform stochastic simulations.
The use of this object is explained in detail in stochastic_tools module example: Monte Carlo Example.
Input Parameters
- _called_legacy_paramsTrue
Default:True
C++ Type:bool
Controllable:No
- control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector<std::string>
Controllable:No
Description:Adds user-defined labels for accessing object parameters via control logic.
- enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Controllable:Yes
Description:Set the enabled status of the MooseObject.
- skip_coordinate_collapsingTrueWhether to skip coordinate collapsing (translation and rotation are still performed, only XYZ, RZ etc collapsing is skipped) when performing mapping and inverse mapping coordinate transformation operations. This parameter should only be set by users who really know what they're doing.
Default:True
C++ Type:bool
Controllable:No
Description:Whether to skip coordinate collapsing (translation and rotation are still performed, only XYZ, RZ etc collapsing is skipped) when performing mapping and inverse mapping coordinate transformation operations. This parameter should only be set by users who really know what they're doing.
- use_displaced_meshFalseWhether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Default:False
C++ Type:bool
Controllable:No
Description:Whether or not this object should use the displaced mesh for computation. Note that in the case this is true but no displacements are provided in the Mesh block the undisplaced mesh will still be used.
Advanced Parameters
Input Files
- (modules/stochastic_tools/test/tests/transfers/serialized_solution_transfer/sst_main.i)
- (modules/stochastic_tools/test/tests/multiapps/nested_multiapp/stm_batch.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/parent.i)
- (modules/stochastic_tools/examples/parameter_study/main_time.i)
- (modules/stochastic_tools/examples/workshop/step02.i)
- (modules/stochastic_tools/test/tests/reporters/mapping/map_main.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
- (modules/stochastic_tools/test/tests/reporters/stochastic_matrix/stochastic_matrix.i)
- (modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_reporter/main_batch.i)
- (modules/combined/examples/stochastic/thermomech/lhs_uniform.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_locs.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer.i)
- (modules/stochastic_tools/test/tests/reporters/ActiveLearningGP/main_adam.i)
- (modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
- (modules/stochastic_tools/test/tests/reporters/BFActiveLearning/main_adam.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_transfer_wrong_sampler.i)
- (modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/trainer.i)
- (modules/stochastic_tools/examples/sobol/main.i)
- (modules/stochastic_tools/test/tests/samplers/AdaptiveImportanceSampler/ais.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_mc.i)
- (modules/stochastic_tools/test/tests/transfers/sobol/sobol.i)
- (modules/stochastic_tools/examples/parameter_study/main_vector.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
- (modules/stochastic_tools/test/tests/samplers/ParallelSubsetSimulation/pss.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/require_stochastic_results.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_missing_control.i)
- (modules/stochastic_tools/test/tests/likelihoods/gaussian_derived/main.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_moment.i)
- (modules/stochastic_tools/test/tests/multiapps/user_cli_args/main_transient.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/parent.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_parent_normal.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer_and_surr.i)
- (modules/stochastic_tools/test/tests/userobjects/inverse_mapping/create_mapping_main.i)
- (modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_locs.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_num_parameters_wrong.i)
- (modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_parent_uniform.i)
- (modules/stochastic_tools/examples/workshop/step03.i)
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/parent.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_moment.i)
- (modules/combined/examples/stochastic/thermomech/poly_chaos_train_uniform.i)
- (modules/stochastic_tools/test/tests/transfers/monte_carlo/monte_carlo.i)
- (modules/stochastic_tools/examples/workshop/step04.i)
- (modules/stochastic_tools/test/tests/auxkernels/surrogate_aux/surrogate.i)
- (modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/boundary/trainer.i)
- (modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/parent.i)
- (modules/stochastic_tools/test/tests/multiapps/user_cli_args/main_full_solve.i)
- (modules/stochastic_tools/test/tests/reporters/AISActiveLearning/ais_al.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_not_vector.i)
- (modules/stochastic_tools/examples/batch/transient.i)
- (modules/stochastic_tools/examples/batch/full_solve.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/monte_carlo.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/parent.i)
- (modules/stochastic_tools/examples/parameter_study/main.i)
- (modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/parent_2sub.i)
- (modules/stochastic_tools/test/tests/variablemappings/pod_mapping/pod_mapping_main.i)
- (modules/stochastic_tools/test/tests/reporters/parallel_storage/parallel_storage_main.i)
- (modules/stochastic_tools/examples/paper/full_solve.i)
- (modules/stochastic_tools/test/tests/samplers/ParallelSubsetSimulation/pss_error1.i)
- (modules/stochastic_tools/test/tests/reporters/mapping/load_main.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/sobol.i)
- (modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer_and_surr.i)
- (modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/parent_transient.i)
- (modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/parent.i)
- (modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_multiapp_type_error.i)
- (modules/stochastic_tools/test/tests/multiapps/nested_multiapp/stm_small_batch.i)
- (modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
(modules/stochastic_tools/test/tests/transfers/serialized_solution_transfer/sst_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[D_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 4
distributions = 'S_dist D_dist'
execute_on = initial
min_procs_per_row = 2
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
min_procs_per_app = 2
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_u/value BCs/right_v/value'
[]
[solution_transfer]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage
variables = 'u v'
serialize_on_root = true
[]
[]
[Reporters]
[parallel_storage]
type = ParallelSolutionStorage
variables = 'u v'
outputs = out
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
execute_system_information_on = none
[]
file_base = "serialization"
[](modules/stochastic_tools/test/tests/multiapps/nested_multiapp/stm_batch.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 2
2 1 2
4 1 2
6 1 2
8 1 2'
[]
[GlobalParams]
sampler = sample
[]
[MultiApps]
[main]
type = SamplerFullSolveMultiApp
input_files = main.i
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = main
parameters = 'BCs/left/value sub:BCs/left/value sub:subsub:BCs/left/value sub:subsub0:BCs/right/value sub:subsub1:BCs/right/value'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = main
stochastic_reporter = storage
from_reporter = 'val/value receive/sub_val receive/subsub0_left_val receive/subsub1_left_val receive/subsub0_right_val receive/subsub1_right_val'
[]
[]
[Reporters/storage]
type = StochasticReporter
parallel_type = ROOT
[]
[Outputs]
csv = true
execute_on = timestep_end
perf_graph = true
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer_vector/parent.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[uniform_right]
type = Uniform
lower_bound = 10
upper_bound = 20
[]
[uniform_prop_a]
type = Uniform
lower_bound = 1980
upper_bound = 1981
[]
[uniform_prop_b]
type = Uniform
lower_bound = 1949
upper_bound = 1950
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_prop_a uniform_prop_b uniform_right'
execute_on = 'initial timestep_end' # create new random numbers on initial and timestep_end
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'initial timestep_end'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value[0] Materials/mat/prop_values[1,2] BCs/right/value[3]'
execute_on = 'initial timestep_end'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'initial timestep_end'
[](modules/stochastic_tools/examples/parameter_study/main_time.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[s]
type = Normal
mean = 100
standard_deviation = 25
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'gamma q_0 T_0 s'
[]
[]
[MultiApps]
[runner]
type = SamplerTransientMultiApp
sampler = hypercube
input_files = 'diffusion_time.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = hypercube
stochastic_reporter = results
from_reporter = 'T_avg/value q_left/value T_vec/T'
[]
[x_transfer]
type = MultiAppReporterTransfer
from_multi_app = runner
subapp_index = 0
from_reporters = T_vec/x
to_reporters = const/x
[]
[]
[Reporters]
[results]
type = StochasticReporter
outputs = none
[]
[stats]
type = StatisticsReporter
reporters = 'results/results:T_avg:value results/results:q_left:value results/results:T_vec:T'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[const]
type = ConstantReporter
real_vector_names = 'x'
real_vector_values = '0'
[]
[]
[Executioner]
type = Transient
num_steps = 4
dt = 0.25
[]
[Outputs]
execute_on = timestep_end
[out]
type = JSON
[]
[](modules/stochastic_tools/examples/workshop/step02.i)
[StochasticTools]
[]
[Distributions]
[D]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q]
type = Normal
mean = 100
standard_deviation = 25
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'D q T_0 q_0'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion.i'
cli_args = 'Outputs/console=false'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values
Kernels/source/value
BCs/left/value
BCs/right/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = hypercube
stochastic_reporter = sampling_matrix
from_reporter = 'T_avg/value q_left/value'
[]
[]
[Reporters]
[sampling_matrix]
type = StochasticMatrix
sampler = hypercube
sampler_column_names = 'D q T_0 q_0'
parallel_type = ROOT
[]
[]
[Outputs]
csv = true
[](modules/stochastic_tools/test/tests/reporters/mapping/map_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 8
distributions = 'S_dist D_dist'
execute_on = initial
min_procs_per_row = 2
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = map_sub.i
sampler = sample
mode = batch-restore
min_procs_per_app = 2
[]
[]
[VariableMappings]
[pod_mapping]
type = PODMapping
solution_storage = parallel_storage
variables = "u v"
num_modes_to_compute = '5 5'
extra_slepc_options = "-svd_monitor_all"
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_u/value BCs/right_v/value'
[]
[solution_transfer]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage
variables = 'u v'
serialize_on_root = false
[]
[]
[Reporters]
[parallel_storage]
type = ParallelSolutionStorage
variables = 'u v'
outputs = none
[]
[reduced_solutions]
type = MappingReporter
sampler = sample
parallel_storage = parallel_storage
mapping = pod_mapping
variables = "u v"
execute_on = timestep_end
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
execute_system_information_on = none
[]
[mapping]
type = MappingOutput
mappings = pod_mapping
[]
file_base = map_training_data
[](modules/stochastic_tools/test/tests/surrogates/load_store/train.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
parallel_type = ROOT
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'poly_chaos'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/reporters/stochastic_matrix/stochastic_matrix.i)
[StochasticTools]
[]
[Samplers]
[sample]
type = InputMatrix
matrix = '11 12 13 14;
21 22 23 24;
31 32 33 34;
41 42 43 44;
51 52 53 54'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Functions/afun/value Functions/bfun/value Functions/cfun/value Functions/dfun/value'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
from_reporter = val/value
stochastic_reporter = matrix
[]
[]
[Reporters]
[matrix]
type = StochasticMatrix
sampler = sample
sampler_column_names = 'a b c d'
parallel_type = ROOT
[]
[]
[Outputs]
execute_on = timestep_end
csv = true
[](modules/stochastic_tools/test/tests/multiapps/transient_with_full_solve/main.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 10
[]
[]
[Samplers]
[dynamic]
type = MonteCarlo
num_rows = 5
distributions = 'uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = dynamic
input_files = 'sub.i'
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = dynamic
parameters = 'BCs/right/value'
[]
[results]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = dynamic
to_vector_postprocessor = results
from_postprocessor = 'center'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
[out]
type = JSON
vectorpostprocessors_as_reporters = true
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_reporter/main_batch.i)
[StochasticTools]
[]
[Samplers]
[sample]
type = CartesianProduct
linear_space_items = '0.0 0.1 10'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
[]
[]
[Transfers]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
stochastic_reporter = storage
from_reporter = 'pp/value constant/str'
[]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value'
[]
[]
[Reporters]
[storage]
type = StochasticReporter
parallel_type = ROOT
[]
[]
[Outputs]
[out]
type = JSON
execute_on = timestep_end
[]
[](modules/combined/examples/stochastic/thermomech/lhs_uniform.i)
[StochasticTools]
[]
[Distributions]
[cond_inner]
type = Uniform
lower_bound = 20
upper_bound = 30
[]
[cond_outer]
type = Uniform
lower_bound = 90
upper_bound = 110
[]
[heat_source]
type = Uniform
lower_bound = 9000
upper_bound = 11000
[]
[alpha_inner]
type = Uniform
lower_bound = 1e-6
upper_bound = 3e-6
[]
[alpha_outer]
type = Uniform
lower_bound = 5e-7
upper_bound = 1.5e-6
[]
[ymod_inner]
type = Uniform
lower_bound = 2e5
upper_bound = 2.2e5
[]
[ymod_outer]
type = Uniform
lower_bound = 3e5
upper_bound = 3.2e5
[]
[prat_inner]
type = Uniform
lower_bound = 0.29
upper_bound = 0.31
[]
[prat_outer]
type = Uniform
lower_bound = 0.19
upper_bound = 0.21
[]
[]
[Samplers]
[sample]
type = LatinHypercube
num_rows = 100000
distributions = 'cond_inner cond_outer heat_source alpha_inner alpha_outer ymod_inner ymod_outer prat_inner prat_outer'
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = graphite_ring_thermomechanics.i
sampler = sample
mode = batch-reset
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/cond_inner/prop_values Materials/cond_outer/prop_values
Postprocessors/heat_source/scale_factor
Materials/thermal_strain_inner/thermal_expansion_coeff Materials/thermal_strain_outer/thermal_expansion_coeff
Materials/elasticity_tensor_inner/youngs_modulus Materials/elasticity_tensor_outer/youngs_modulus
Materials/elasticity_tensor_inner/poissons_ratio Materials/elasticity_tensor_outer/poissons_ratio'
check_multiapp_execute_on = false
[]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
stochastic_reporter = storage
from_reporter = 'temp_center_inner/value temp_center_outer/value temp_end_inner/value temp_end_outer/value
dispx_center_inner/value dispx_center_outer/value dispx_end_inner/value dispx_end_outer/value
dispz_inner/value dispz_outer/value'
[]
[]
[Reporters]
[storage]
type = StochasticReporter
parallel_type = ROOT
[]
[stats]
type = StatisticsReporter
reporters = 'storage/data:temp_center_inner:value storage/data:temp_center_outer:value storage/data:temp_end_inner:value storage/data:temp_end_outer:value
storage/data:dispx_center_inner:value storage/data:dispx_center_outer:value storage/data:dispx_end_inner:value storage/data:dispx_end_outer:value
storage/data:dispz_inner:value storage/data:dispz_outer:value'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
[out]
type = JSON
[]
execute_on = TIMESTEP_END
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 2.5 0.5 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[local_sense]
type = PolynomialChaosReporter
pc_name = poly_chaos
local_sensitivity_sampler = grid
local_sensitivity_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[snapshot]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/reporters/ActiveLearningGP/main_adam.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[q_dist]
type = Uniform
lower_bound = 7000
upper_bound = 13000
[]
[Tinf_dist]
type = Uniform
lower_bound = 250
upper_bound = 350
[]
[]
[Samplers]
[mc]
type = ActiveLearningMonteCarloSampler
num_batch = 1
distributions = 'k_dist q_dist Tinf_dist'
flag_sample = 'conditional/flag_sample'
seed = 5
num_samples = 20
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
should_run_reporter = conditional/need_sample
execute_on = TIMESTEP_END
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = mc
parameters = 'Materials/conductivity/prop_values Kernels/source/value BCs/right/value'
to_control = 'stochastic'
check_multiapp_execute_on = false
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'avg/value'
stochastic_reporter = 'conditional'
from_multi_app = sub
sampler = mc
[]
[]
[Reporters]
[conditional]
type = ActiveLearningGPDecision
sampler = mc
parallel_type = ROOT
execute_on = 'timestep_begin'
flag_sample = 'flag_sample'
inputs = 'inputs'
gp_mean = 'gp_mean'
gp_std = 'gp_std'
n_train = 6
al_gp = GP_al_trainer
gp_evaluator = GP_eval
learning_function = 'Ufunction'
learning_function_parameter = 349.345
learning_function_threshold = 2.0
[]
[]
[Trainers]
[GP_al_trainer]
type = ActiveLearningGaussianProcess
covariance_function = 'covar'
standardize_params = 'true'
standardize_data = 'true'
tune_parameters = 'covar:signal_variance covar:length_factor'
num_iters = 1000
learning_rate = 0.005
[]
[]
[Surrogates]
[GP_eval]
type = GaussianProcessSurrogate
trainer = GP_al_trainer
[]
[]
[Covariance]
[covar]
type = SquaredExponentialCovariance
signal_variance = 1.0
noise_variance = 1e-4
length_factor = '1.0 1.0 1.0'
[]
[]
[Executioner]
type = Transient
[]
[Outputs]
file_base = 'single_proc_single_row_ufunction'
[out]
type = JSON
execute_system_information_on = none
[]
[](modules/stochastic_tools/test/tests/surrogates/load_store/train_and_evaluate.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
parallel_type = ROOT
outputs = none
[]
[pc_data]
type = PolynomialChaosReporter
pc_name = poly_chaos
include_data = true
execute_on = final
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Outputs/out]
type = JSON
execute_on = FINAL
[](modules/stochastic_tools/test/tests/reporters/BFActiveLearning/main_adam.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[q_dist]
type = Uniform
lower_bound = 7000
upper_bound = 13000
[]
[Tinf_dist]
type = Uniform
lower_bound = 250
upper_bound = 350
[]
[]
[Samplers]
[mc]
type = ActiveLearningMonteCarloSampler
num_batch = 1
distributions = 'k_dist q_dist Tinf_dist'
flag_sample = 'conditional/flag_sample'
seed = 5
num_samples = 10
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub_lf]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub_lf.i'
[]
[sub]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
should_run_reporter = conditional/need_sample
execute_on = TIMESTEP_END
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = mc
parameters = 'Materials/conductivity/prop_values Kernels/source/value BCs/right/value'
check_multiapp_execute_on = false
[]
[sub_lf]
type = SamplerParameterTransfer
to_multi_app = sub_lf
sampler = mc
parameters = 'Materials/conductivity/prop_values Kernels/source/value BCs/right/value'
check_multiapp_execute_on = false
[]
[reporter_transfer_lf]
type = SamplerReporterTransfer
from_reporter = 'avg/value'
stochastic_reporter = 'constant'
from_multi_app = sub_lf
sampler = mc
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'avg/value'
stochastic_reporter = 'conditional'
from_multi_app = sub
sampler = mc
[]
[]
[Reporters]
[constant]
type = StochasticReporter
[]
[conditional]
type = BiFidelityActiveLearningGPDecision
sampler = mc
parallel_type = ROOT
execute_on = 'timestep_begin'
flag_sample = 'flag_sample'
inputs = 'inputs'
gp_mean = 'gp_mean'
gp_std = 'gp_std'
n_train = 8
al_gp = GP_al_trainer
gp_evaluator = GP_eval
learning_function = 'Ufunction'
learning_function_parameter = 349.345
learning_function_threshold = 2.0
outputs_lf = constant/reporter_transfer_lf:avg:value
[]
[]
[Trainers]
[GP_al_trainer]
type = ActiveLearningGaussianProcess
covariance_function = 'covar'
standardize_params = 'true'
standardize_data = 'true'
tune_parameters = 'covar:signal_variance covar:length_factor'
num_iters = 5000
learning_rate = 0.001
show_every_nth_iteration = 1
batch_size = 200
[]
[]
[Surrogates]
[GP_eval]
type = GaussianProcessSurrogate
trainer = GP_al_trainer
[]
[]
[Covariance]
[covar]
type = SquaredExponentialCovariance
signal_variance = 1.0
noise_variance = 1e-8
length_factor = '1.0 1.0 1.0'
[]
[]
[Executioner]
type = Transient
[]
[Outputs]
file_base = 'single_proc_single_row_ufunction'
[out]
type = JSON
execute_system_information_on = none
[]
[](modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[snapshots]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[pod_modes]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_transfer_wrong_sampler.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[wrong]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
sampler = sample
input_files = sub.i
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = wrong
parameters = 'BCs/left/value BCs/right/value'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/trainer.i)
[StochasticTools]
[]
[Distributions]
[D012_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D1_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D2_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D3_dist]
type = Uniform
lower_bound = 0.15
upper_bound = 0.6
[]
[absxs0_dist]
type = Uniform
lower_bound = 0.0425
upper_bound = 0.17
[]
[absxs1_dist]
type = Uniform
lower_bound = 0.065
upper_bound = 0.26
[]
[absxs2_dist]
type = Uniform
lower_bound = 0.04
upper_bound = 0.16
[]
[absxs3_dist]
type = Uniform
lower_bound = 0.005
upper_bound = 0.02
[]
[src_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'D012_dist D012_dist D012_dist D3_dist
absxs0_dist absxs1_dist absxs2_dist absxs3_dist
src_dist src_dist src_dist'
num_rows = 100
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/D0/prop_values
Materials/D1/prop_values
Materials/D2/prop_values
Materials/D3/prop_values
Materials/absxs0/prop_values
Materials/absxs1/prop_values
Materials/absxs2/prop_values
Materials/absxs3/prop_values
Kernels/src0/value
Kernels/src1/value
Kernels/src2/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'psi'
error_res = '1e-9'
tag_names = 'diff0 diff1 diff2 diff3 abs0 abs1 abs2 abs3 src0 src1 src2'
tag_types = 'op op op op op op op op src src src'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[](modules/stochastic_tools/examples/sobol/main.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[s]
type = Normal
mean = 100
standard_deviation = 25
[]
[]
[Samplers]
[hypercube_a]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2011
[]
[hypercube_b]
type = LatinHypercube
num_rows = 10000
distributions = 'gamma q_0 T_0 s'
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = hypercube_a
sampler_b = hypercube_b
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = sobol
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = sobol
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = sobol
stochastic_reporter = results
from_reporter = 'T_avg/value q_left/value'
[]
[]
[Reporters]
[results]
type = StochasticReporter
outputs = none
[]
[stats]
type = StatisticsReporter
reporters = 'results/results:T_avg:value results/results:q_left:value'
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[sobol]
type = SobolReporter
sampler = sobol
reporters = 'results/results:T_avg:value results/results:q_left:value'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
execute_on = 'FINAL'
[out]
type = JSON
[]
[](modules/stochastic_tools/test/tests/samplers/AdaptiveImportanceSampler/ais.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.0
standard_deviation = 0.5
[]
[mu2]
type = Normal
mean = 1
standard_deviation = 0.5
[]
[]
[Samplers]
[sample]
type = AdaptiveImportance
distributions = 'mu1 mu2'
proposal_std = '1.0 1.0'
output_limit = 0.65
num_samples_train = 30
num_importance_sampling_steps = 30
std_factor = 0.9
initial_values = '-0.103 1.239'
inputs_reporter = 'adaptive_MC/inputs'
use_absolute_value = true
seed = 1012
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'average/value'
stochastic_reporter = 'constant'
from_multi_app = sub
sampler = sample
[]
[]
[Reporters]
[constant]
type = StochasticReporter
[]
[adaptive_MC]
type = AdaptiveMonteCarloDecision
output_value = constant/reporter_transfer:average:value
inputs = 'inputs'
sampler = sample
[]
[ais_stats]
type = AdaptiveImportanceStats
output_value = constant/reporter_transfer:average:value
sampler = sample
[]
[]
[Executioner]
type = Transient
[]
[Outputs]
[out]
type = JSON
[]
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_mc.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = initial
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = sample
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = sample
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
parallel_type = ROOT
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = sample
response = storage/data:avg:value
regression_type = integration
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/transfers/sobol/sobol.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/examples/parameter_study/main_vector.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[s]
type = Normal
mean = 100
standard_deviation = 25
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'gamma q_0 T_0 s'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion_vector.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = hypercube
stochastic_reporter = results
from_reporter = 'acc/T_avg:value acc/q_left:value'
[]
[]
[Reporters]
[results]
type = StochasticReporter
outputs = none
[]
[stats]
type = StatisticsReporter
reporters = 'results/results:acc:T_avg:value results/results:acc:q_left:value'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
execute_on = 'FINAL'
[out]
type = JSON
[]
[](modules/stochastic_tools/test/tests/multiapps/partitioning/main_transient.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerTransientMultiApp
input_files = sub_transient.i
[]
[Controls/cli]
type = MultiAppSamplerControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
from_multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
from_multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[Outputs]
csv = true
execute_on = timestep_end
[](modules/stochastic_tools/test/tests/samplers/ParallelSubsetSimulation/pss.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.0
standard_deviation = 0.5
[]
[mu2]
type = Normal
mean = 1
standard_deviation = 0.5
[]
[]
[Samplers]
[sample]
type = ParallelSubsetSimulation
distributions = 'mu1 mu2'
num_samplessub = 20
num_subsets = 6
num_parallel_chains = 2
output_reporter = 'constant/reporter_transfer:average:value'
inputs_reporter = 'adaptive_MC/inputs'
seed = 1012
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'average/value'
stochastic_reporter = 'constant'
from_multi_app = sub
sampler = sample
[]
[]
[Reporters]
[constant]
type = StochasticReporter
outputs = none
[]
[adaptive_MC]
type = AdaptiveMonteCarloDecision
output_value = constant/reporter_transfer:average:value
inputs = 'inputs'
sampler = sample
[]
[]
[Executioner]
type = Transient
[]
[Outputs]
[out]
type = JSON
execute_system_information_on = none
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = timestep_end
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[](modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/require_stochastic_results.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = timestep_end
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = ConstantVectorPostprocessor
value = 0
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_missing_control.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub_missing_control.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/test/tests/likelihoods/gaussian_derived/main.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.0
standard_deviation = 0.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'mu1 mu1'
num_rows = 3
seed = 2547
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
# to_control = 'stochastic'
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'average/value'
stochastic_reporter = 'constant'
from_multi_app = sub
sampler = sample
[]
[]
[Reporters]
[constant]
type = StochasticReporter
[]
[noise_specified]
type = ConstantReporter
real_names = 'noise_specified'
real_values = '0.2'
[]
[likelihoodtest]
type = TestLikelihood
likelihoods = 'gaussian'
model_pred = constant/reporter_transfer:average:value
sampler = sample
[]
[]
[Likelihood]
[gaussian]
type = Gaussian
noise = 'noise_specified/noise_specified'
file_name = 'exp1.csv'
log_likelihood=true
[]
[]
[Executioner]
type = Steady
[]
[Outputs]
file_base ='loglikelihood_scalar'
[out]
type = JSON
execute_system_information_on = NONE
[]
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = timestep_end
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
parallel_type = ROOT
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[pc_moments]
type = PolynomialChaosReporter
pc_name = poly_chaos
statistics = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/multiapps/user_cli_args/main_transient.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '1 1 3
1 1 3'
execute_on = 'PRE_MULTIAPP_SETUP'
[]
[MultiApps/sub]
type = SamplerTransientMultiApp
sampler = sample
input_files = 'sub_transient.i'
cli_args = 'Mesh/xmax=10;Mesh/ymax=10'
[]
[Transfers]
inactive = 'param'
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Functions/fun/value Postprocessors/function_val/scale_factor'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
from_reporter = 'size/value function_val/value'
stochastic_reporter = 'storage'
[]
[]
[Controls]
[cmdline]
type = MultiAppSamplerControl
multi_app = sub
sampler = sample
param_names = 'Functions/fun/value Postprocessors/function_val/scale_factor'
[]
[]
[Reporters/storage]
type = StochasticReporter
parallel_type = ROOT
[]
[Executioner]
type = Transient
num_steps = 3
[]
[Outputs]
csv = true
execute_on = timestep_end
[](modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/parent.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = DISTRIBUTED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[](modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_parent_normal.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.3
standard_deviation = 0.045
[]
[mu2]
type = Normal
mean = 9
standard_deviation = 1.35
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
[]
[results]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Reporters]
[stats]
type = StatisticsReporter
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[](modules/stochastic_tools/test/tests/surrogates/pod_rb/internal/trainer_and_surr.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[train_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[test_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 10
seed = 17
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = train_sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = train_sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Surrogates]
[rbpod]
type = PODReducedBasisSurrogate
trainer = pod_rb
[]
[]
[VectorPostprocessors]
[res]
type = PODSurrogateTester
model = rbpod
sampler = test_sample
variable_name = "u"
to_compute = nodal_max
execute_on = 'final'
[]
[]
[Outputs]
execute_on = 'final'
csv = true
[](modules/stochastic_tools/test/tests/userobjects/inverse_mapping/create_mapping_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[D_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 8
distributions = 'S_dist D_dist'
execute_on = PRE_MULTIAPP_SETUP
min_procs_per_row = 2
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-reset
min_procs_per_app = 2
[]
[]
[Trainers]
[polyreg_v]
type = PolynomialRegressionTrainer
sampler = sample
regression_type = ols
max_degree = 1
response = reduced_solutions/v_pod_mapping
response_type = vector_real
execute_on = FINAL
[]
[polyreg_v_aux]
type = PolynomialRegressionTrainer
sampler = sample
regression_type = ols
max_degree = 1
response = reduced_solutions/v_aux_pod_mapping
response_type = vector_real
execute_on = FINAL
[]
[]
[VariableMappings]
[pod_mapping]
type = PODMapping
solution_storage = parallel_storage
variables = "v v_aux"
num_modes_to_compute = '8 8'
extra_slepc_options = "-svd_monitor_all"
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_v/value BCs/right_v/value'
[]
[solution_transfer]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage
variables = 'v'
serialize_on_root = false
[]
[solution_transfer_aux]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage_aux
variables = 'v_aux'
serialize_on_root = false
[]
[]
[Controls]
[cmd_line]
type = MultiAppSamplerControl
multi_app = worker
sampler = sample
param_names = 'S D'
[]
[]
[Reporters]
[parallel_storage]
type = ParallelSolutionStorage
variables = 'v v_aux'
outputs = none
[]
[reduced_solutions]
type = MappingReporter
sampler = sample
parallel_storage = parallel_storage
mapping = pod_mapping
variables = "v v_aux"
execute_on = timestep_end # To make sure the trainer sees the results on FINAL
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
[]
[mapping]
type = MappingOutput
mappings = pod_mapping
execute_on = FINAL
[]
[rom]
type = SurrogateTrainerOutput
trainers = 'polyreg_v polyreg_v_aux'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/multiapps/dynamic_sub_app_number/main.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = TestDynamicNumberOfSubAppsSampler
num_rows = 5
distributions = 'uniform'
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = mc
parameters = 'BCs/right/value'
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = center
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
[out]
type = JSON
vectorpostprocessors_as_reporters = true
[]
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad_locs.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[grid]
type = CartesianProduct
linear_space_items = '2.5 0.5 10 3 1 10'
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[local_sense]
type = PolynomialChaosReporter
pc_name = poly_chaos
local_sensitivity_sampler = grid
local_sensitivity_points = '3.14159 3.14159 2.7182 3.14159 3.14159 2.7182 2.7182 2.7182'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_num_parameters_wrong.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value BCs/right/value'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/examples/parameter_study/nonlin_diff_react/nonlin_diff_react_parent_uniform.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Uniform
lower_bound = 0.21
upper_bound = 0.39
[]
[mu2]
type = Uniform
lower_bound = 6.3
upper_bound = 11.7
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'nonlin_diff_react_sub.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Kernels/nonlin_function/mu1 Kernels/nonlin_function/mu2'
[]
[results]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = hypercube
to_vector_postprocessor = results
from_postprocessor = 'max min average'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Reporters]
[stats]
type = StatisticsReporter
vectorpostprocessors = results
compute = 'mean'
ci_method = 'percentile'
ci_levels = '0.05'
[]
[]
[Outputs]
csv = true
execute_on = 'FINAL'
[](modules/stochastic_tools/examples/workshop/step03.i)
[StochasticTools]
[]
[Distributions]
[D]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q]
type = Normal
mean = 100
standard_deviation = 25
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'D q T_0 q_0'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion.i'
cli_args = 'Outputs/console=false'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values
Kernels/source/value
BCs/left/value
BCs/right/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = hypercube
stochastic_reporter = sampling_matrix
from_reporter = 'T_avg/value q_left/value'
[]
[]
[Reporters]
[sampling_matrix]
type = StochasticMatrix
sampler = hypercube
sampler_column_names = 'D q T_0 q_0'
parallel_type = ROOT
[]
[stats]
type = StatisticsReporter
reporters = 'sampling_matrix/results:T_avg:value sampling_matrix/results:q_left:value'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
json = true
[](modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/parent.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0 uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data]
type = SamplerData
sampler = mc
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2d_quad_moment.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[pc_moments]
type = PolynomialChaosReporter
pc_name = poly_chaos
statistics = 'mean stddev skewness kurtosis'
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
[]
[](modules/combined/examples/stochastic/thermomech/poly_chaos_train_uniform.i)
[StochasticTools]
[]
[Distributions]
[cond_inner]
type = Uniform
lower_bound = 20
upper_bound = 30
[]
[cond_outer]
type = Uniform
lower_bound = 90
upper_bound = 110
[]
[heat_source]
type = Uniform
lower_bound = 9000
upper_bound = 11000
[]
[alpha_inner]
type = Uniform
lower_bound = 1e-6
upper_bound = 3e-6
[]
[alpha_outer]
type = Uniform
lower_bound = 5e-7
upper_bound = 1.5e-6
[]
[ymod_inner]
type = Uniform
lower_bound = 2e5
upper_bound = 2.2e5
[]
[ymod_outer]
type = Uniform
lower_bound = 3e5
upper_bound = 3.2e5
[]
[prat_inner]
type = Uniform
lower_bound = 0.29
upper_bound = 0.31
[]
[prat_outer]
type = Uniform
lower_bound = 0.19
upper_bound = 0.21
[]
[]
[GlobalParams]
distributions = 'cond_inner cond_outer heat_source alpha_inner alpha_outer ymod_inner ymod_outer prat_inner prat_outer'
[]
[Samplers]
[sample]
type = Quadrature
sparse_grid = smolyak
order = 5
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = graphite_ring_thermomechanics.i
sampler = sample
mode = batch-reset
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/cond_inner/prop_values Materials/cond_outer/prop_values
Postprocessors/heat_source/scale_factor
Materials/thermal_strain_inner/thermal_expansion_coeff Materials/thermal_strain_outer/thermal_expansion_coeff
Materials/elasticity_tensor_inner/youngs_modulus Materials/elasticity_tensor_outer/youngs_modulus
Materials/elasticity_tensor_inner/poissons_ratio Materials/elasticity_tensor_outer/poissons_ratio'
check_multiapp_execute_on = false
[]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
stochastic_reporter = storage
from_reporter = 'temp_center_inner/value temp_center_outer/value temp_end_inner/value temp_end_outer/value
dispx_center_inner/value dispx_center_outer/value dispx_end_inner/value dispx_end_outer/value
dispz_inner/value dispz_outer/value'
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[Trainers]
[temp_center_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_center_inner:value
[]
[temp_center_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_center_outer:value
[]
[temp_end_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_end_inner:value
[]
[temp_end_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:temp_end_outer:value
[]
[dispx_center_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_center_inner:value
[]
[dispx_center_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_center_outer:value
[]
[dispx_end_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_end_inner:value
[]
[dispx_end_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispx_end_outer:value
[]
[dispz_inner]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispz_inner:value
[]
[dispz_outer]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 4
sampler = sample
response = storage/data:dispz_outer:value
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'temp_center_inner temp_center_outer temp_end_inner temp_end_outer
dispx_center_inner dispx_center_outer dispx_end_inner dispx_end_outer
dispz_inner dispz_outer'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/transfers/monte_carlo/monte_carlo.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 10
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/examples/workshop/step04.i)
[StochasticTools]
[]
[Distributions]
[D]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q]
type = Normal
mean = 100
standard_deviation = 25
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 1000
distributions = 'D q T_0 q_0'
[]
[resample]
type = LatinHypercube
num_rows = 1000
seed = 2025
distributions = 'D q T_0 q_0'
[]
[sobol]
type = Sobol
sampler_a = hypercube
sampler_b = resample
resample = false
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = sobol
input_files = 'diffusion.i'
cli_args = 'Outputs/console=false'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = sobol
parameters = 'Materials/constant/prop_values
Kernels/source/value
BCs/left/value
BCs/right/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = sobol
stochastic_reporter = sampling_matrix
from_reporter = 'T_avg/value q_left/value'
[]
[]
[Reporters]
[sampling_matrix]
type = StochasticMatrix
sampler = sobol
sampler_column_names = 'D q T_0 q_0'
parallel_type = ROOT
[]
[sobol]
type = SobolReporter
sampler = sobol
reporters = 'sampling_matrix/results:T_avg:value sampling_matrix/results:q_left:value'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
json = true
[](modules/stochastic_tools/test/tests/auxkernels/surrogate_aux/surrogate.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 0
upper_bound = 1
[]
[]
[Samplers]
[mc]
type = MonteCarlo
distributions = 'uniform uniform uniform uniform'
num_rows = 50
[]
[]
[GlobalParams]
sampler = mc
[]
[MultiApps]
[model]
type = SamplerFullSolveMultiApp
input_files = model.i
mode = batch-restore
no_restore = true
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = model
parameters ='Postprocessors/x1/value Postprocessors/x2/value Postprocessors/x3/value Postprocessors/x4/value'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = model
stochastic_reporter = storage
from_reporter = 'val/value'
[]
[]
[Reporters]
[storage]
type = StochasticReporter
[]
[]
[Trainers]
[poly_regression]
type = PolynomialRegressionTrainer
regression_type = ols
max_degree = 2
response = storage/data:val:value
[]
[]
[Outputs]
[trainer]
type = SurrogateTrainerOutput
trainers = poly_regression
[]
[](modules/stochastic_tools/test/tests/multiapps/partitioning/main.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '0 1 5'
execute_on = PRE_MULTIAPP_SETUP
[]
[GlobalParams]
sampler = sample
[]
[MultiApps/sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
[]
[Controls/cli]
type = MultiAppSamplerControl
multi_app = sub
param_names = 'Postprocessors/pp1/scale_factor'
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
parameters = 'Postprocessors/pp2/scale_factor'
[]
[rep]
type = SamplerReporterTransfer
from_multi_app = sub
stochastic_reporter = reporter
from_reporter = 'pp1/value'
[]
[pp]
type = SamplerPostprocessorTransfer
from_multi_app = sub
to_vector_postprocessor = vpp
from_postprocessor = 'pp2'
[]
[]
[VectorPostprocessors/vpp]
type = StochasticResults
[]
[Reporters]
[reporter]
type = StochasticReporter
outputs = none
[]
[check]
type = TestReporterPartitioning
sampler = sample
reporters = 'reporter/rep:pp1:value vpp/pp:pp2'
[]
[]
[Outputs]
csv = true
execute_on = timestep_end
[](modules/stochastic_tools/test/tests/surrogates/pod_rb/boundary/trainer.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[Dir_dist]
type = Uniform
lower_bound = 0
upper_bound = 1
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist Dir_dist'
num_rows = 5
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value BCs/left/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf dir_src dir_imp'
tag_types = 'op op src src_dir op_dir'
execute_on = 'timestep_begin final'
[]
[]
[Outputs]
[out]
type = SurrogateTrainerOutput
trainers = 'pod_rb'
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/surrogates/poly_chaos/main_2dnorm_quad.i)
[StochasticTools]
[]
[Distributions]
[D_dist]
type = Normal
mean = 5
standard_deviation = 0.5
[]
[S_dist]
type = Normal
mean = 8
standard_deviation = 0.7
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 100
distributions = 'D_dist S_dist'
execute_on = timestep_end
[]
[quadrature]
type = Quadrature
distributions = 'D_dist S_dist'
execute_on = INITIAL
order = 5
[]
[]
[MultiApps]
[quad_sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = quadrature
mode = batch-restore
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = quad_sub
sampler = quadrature
parameters = 'Materials/diffusivity/prop_values Materials/xs/prop_values'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = quad_sub
sampler = quadrature
stochastic_reporter = storage
from_reporter = avg/value
[]
[]
[Reporters]
[storage]
type = StochasticReporter
outputs = none
[]
[pc_samp]
type = EvaluateSurrogate
model = poly_chaos
sampler = sample
parallel_type = ROOT
execute_on = final
[]
[]
[Surrogates]
[poly_chaos]
type = PolynomialChaos
trainer = poly_chaos
[]
[]
[Trainers]
[poly_chaos]
type = PolynomialChaosTrainer
execute_on = timestep_end
order = 5
distributions = 'D_dist S_dist'
sampler = quadrature
response = storage/data:avg:value
[]
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/parent.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sobol]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[mc]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = mc
[]
[]
[Transfers]
[sobol]
type = SamplerParameterTransfer
to_multi_app = sobol
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
[]
[sobol_data]
type = SamplerPostprocessorTransfer
from_multi_app = sobol
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[mc]
type = SamplerParameterTransfer
to_multi_app = mc
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
[]
[mc_data]
type = SamplerPostprocessorTransfer
from_multi_app = mc
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = "avg max"
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = CSV
execute_on = FINAL
[]
[](modules/stochastic_tools/test/tests/multiapps/user_cli_args/main_full_solve.i)
[StochasticTools]
[]
[Samplers/sample]
type = CartesianProduct
linear_space_items = '1 1 3
1 1 3'
execute_on = 'PRE_MULTIAPP_SETUP'
[]
[MultiApps/sub]
type = SamplerFullSolveMultiApp
sampler = sample
input_files = 'sub_steady.i'
cli_args = 'Mesh/xmax=10;Mesh/ymax=10'
[]
[Transfers]
inactive = 'param'
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'Functions/fun/value Postprocessors/function_val/scale_factor'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = sub
sampler = sample
from_reporter = 'size/value function_val/value'
stochastic_reporter = 'storage'
[]
[]
[Controls]
[cmdline]
type = MultiAppSamplerControl
multi_app = sub
sampler = sample
param_names = 'Functions/fun/value Postprocessors/function_val/scale_factor'
[]
[]
[Reporters/storage]
type = StochasticReporter
parallel_type = ROOT
[]
[Outputs]
csv = true
execute_on = timestep_end
[](modules/stochastic_tools/test/tests/reporters/AISActiveLearning/ais_al.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.0
standard_deviation = 0.5
[]
[mu2]
type = Normal
mean = 1
standard_deviation = 0.5
[]
[]
[Samplers]
[sample]
type = AISActiveLearning
distributions = 'mu1 mu2'
proposal_std = '1.0 1.0'
output_limit = 0.65
num_samples_train = 15
num_importance_sampling_steps = 5
std_factor = 0.9
initial_values = '-0.103 1.239'
inputs_reporter = 'adaptive_MC/inputs'
use_absolute_value = true
flag_sample = 'conditional/flag_sample'
seed = 9874
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-reset
should_run_reporter = conditional/need_sample
execute_on = TIMESTEP_END
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
to_control = 'stochastic'
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'average/value'
stochastic_reporter = 'conditional'
from_multi_app = sub
sampler = sample
[]
[]
[Reporters]
[conditional]
type = ActiveLearningGPDecision
sampler = sample
parallel_type = ROOT
execute_on = 'initial timestep_begin'
flag_sample = 'flag_sample'
inputs = 'inputs'
gp_mean = 'gp_mean'
gp_std = 'gp_std'
n_train = 5
al_gp = GP_al_trainer
gp_evaluator = GP_eval
learning_function = 'Ufunction'
learning_function_parameter = 0.65
learning_function_threshold = 2.0
[]
[adaptive_MC]
type = AdaptiveMonteCarloDecision
output_value = conditional/gp_mean
inputs = 'inputs'
sampler = sample
gp_decision = conditional
[]
[ais_stats]
type = AdaptiveImportanceStats
output_value = conditional/gp_mean
sampler = sample
flag_sample = 'conditional/flag_sample'
[]
[]
[Trainers]
[GP_al_trainer]
type = ActiveLearningGaussianProcess
covariance_function = 'covar'
standardize_params = 'true'
standardize_data = 'true'
tune_parameters = 'covar:signal_variance covar:length_factor'
num_iters = 2000
learning_rate = 0.005
[]
[]
[Surrogates]
[GP_eval]
type = GaussianProcessSurrogate
trainer = GP_al_trainer
[]
[]
[Covariance]
[covar]
type = SquaredExponentialCovariance
signal_variance = 1.0
noise_variance = 1e-8
length_factor = '1.0 1.0'
[]
[]
[Executioner]
type = Transient
[]
[Outputs]
file_base = 'ais_al'
[out]
type = JSON
execute_system_information_on = NONE
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_not_vector.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value[0] BCs/right/value[0,1]'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/examples/batch/transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[Executioner]
type = Transient
num_steps = 10
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_END'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[](modules/stochastic_tools/examples/batch/full_solve.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/monte_carlo.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 5
distributions = 'uniform_left uniform_right'
execute_on = INITIAL
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/parent.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = sub
sampler = sobol
to_vector_postprocessor = storage
from_postprocessor = avg
execute_on = TIMESTEP_BEGIN
check_multiapp_execute_on = false
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
csv = true
[](modules/stochastic_tools/examples/parameter_study/main.i)
[StochasticTools]
[]
[Distributions]
[gamma]
type = Uniform
lower_bound = 0.5
upper_bound = 2.5
[]
[q_0]
type = Weibull
location = -110
scale = 20
shape = 1
[]
[T_0]
type = Normal
mean = 300
standard_deviation = 45
[]
[s]
type = Normal
mean = 100
standard_deviation = 25
[]
[]
[Samplers]
[hypercube]
type = LatinHypercube
num_rows = 5000
distributions = 'gamma q_0 T_0 s'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = hypercube
input_files = 'diffusion.i'
mode = batch-restore
[]
[]
[Transfers]
[parameters]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = hypercube
parameters = 'Materials/constant/prop_values Kernels/source/value BCs/right/value BCs/left/value'
[]
[results]
type = SamplerReporterTransfer
from_multi_app = runner
sampler = hypercube
stochastic_reporter = results
from_reporter = 'T_avg/value q_left/value'
[]
[]
[Reporters]
[results]
type = StochasticReporter
[]
[stats]
type = StatisticsReporter
reporters = 'results/results:T_avg:value results/results:q_left:value'
compute = 'mean stddev'
ci_method = 'percentile'
ci_levels = '0.05 0.95'
[]
[]
[Outputs]
execute_on = 'FINAL'
[out]
type = JSON
[]
[](modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/parent_2sub.i)
[StochasticTools]
[]
[Distributions]
[uniform_0]
type = Uniform
lower_bound = 100
upper_bound = 200
[]
[uniform_1]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[mc0]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_0'
execute_on = INITIAL
[]
[mc1]
type = MonteCarlo
num_rows = 15
distributions = 'uniform_1'
execute_on = INITIAL
[]
[]
[MultiApps]
[runner0]
type = SamplerFullSolveMultiApp
sampler = mc0
input_files = 'sub.i'
mode = batch-reset
[]
[runner1]
type = SamplerFullSolveMultiApp
sampler = mc1
input_files = 'sub.i'
mode = batch-reset
[]
[]
[Transfers]
[runner0]
type = SamplerParameterTransfer
to_multi_app = runner0
sampler = mc0
parameters = 'BCs/left/value'
[]
[runner1]
type = SamplerParameterTransfer
to_multi_app = runner1
sampler = mc1
parameters = 'BCs/right/value'
[]
[data0]
type = SamplerPostprocessorTransfer
from_multi_app = runner0
sampler = mc0
to_vector_postprocessor = storage0
from_postprocessor = average
[]
[data1]
type = SamplerPostprocessorTransfer
from_multi_app = runner1
sampler = mc1
to_vector_postprocessor = storage1
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage0]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[storage1]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[data0]
type = SamplerData
sampler = mc0
[]
[data1]
type = SamplerData
sampler = mc1
[]
[]
[Outputs]
csv = true
execute_on = 'TIMESTEP_END'
[](modules/stochastic_tools/test/tests/variablemappings/pod_mapping/pod_mapping_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[D_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 4
distributions = 'S_dist D_dist'
execute_on = initial
min_procs_per_row = 2
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-restore
min_procs_per_app = 2
[]
[]
[VariableMappings]
[pod_mapping]
type = PODMapping
solution_storage = parallel_storage
variables = "v"
num_modes_to_compute = '2'
extra_slepc_options = "-svd_monitor_all"
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_v/value BCs/right_v/value'
[]
[solution_transfer]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage
variables = 'v'
serialize_on_root = true
[]
[]
[Reporters]
[parallel_storage]
type = ParallelSolutionStorage
variables = 'v'
outputs = none
[]
[svd_output]
type = SingularTripletReporter
variables = 'v'
pod_mapping = pod_mapping
execute_on = FINAL
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
execute_system_information_on = NONE
[]
[](modules/stochastic_tools/test/tests/reporters/parallel_storage/parallel_storage_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[D_dist]
type = Uniform
lower_bound = 0
upper_bound = 10
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 4
distributions = 'S_dist D_dist'
min_procs_per_row = 2
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
mode = batch-reset
min_procs_per_app = 2
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_u/value BCs/right_v/value'
[]
[solution_transfer]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage
variables = 'u v'
serialize_on_root = false
[]
[solution_transfer_aux]
type = SerializedSolutionTransfer
parallel_storage = parallel_storage
from_multi_app = worker
sampler = sample
solution_container = solution_storage_aux
variables = 'u_aux'
serialize_on_root = false
[]
[]
[Controls]
[cmd_line]
type = MultiAppSamplerControl
multi_app = worker
sampler = sample
param_names = 'S D'
[]
[]
[Reporters]
[parallel_storage]
type = ParallelSolutionStorage
variables = 'u v u_aux'
outputs = out
[]
[]
[Outputs]
[out]
type = JSON
execute_on = FINAL
execute_system_information_on = none
[]
[](modules/stochastic_tools/examples/paper/full_solve.i)
[StochasticTools]
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 9
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 10
distributions = 'uniform uniform'
execute_on = 'initial timestep_end'
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
sampler = mc
input_files = 'sub.i'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
parameters = 'BCs/left/value BCs/right/value'
sampler = mc
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
to_vector_postprocessor = storage
from_postprocessor = average
sampler = mc
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Postprocessors]
[total]
type = MemoryUsage
execute_on = 'INITIAL TIMESTEP_END'
[]
[per_proc]
type = MemoryUsage
value_type = "average"
execute_on = 'INITIAL TIMESTEP_END'
[]
[max_proc]
type = MemoryUsage
value_type = "max_process"
execute_on = 'INITIAL TIMESTEP_END'
[]
[total_time]
type = PerfGraphData
execute_on = 'INITIAL TIMESTEP_END'
data_type = 'TOTAL'
section_name = 'Root'
[]
[run_time]
type = ChangeOverTimePostprocessor
postprocessor = total_time
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
perf_graph = true
[](modules/stochastic_tools/test/tests/samplers/ParallelSubsetSimulation/pss_error1.i)
[StochasticTools]
[]
[Distributions]
[mu1]
type = Normal
mean = 0.0
standard_deviation = 0.5
[]
[mu2]
type = Normal
mean = 1
standard_deviation = 0.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 1
distributions = 'mu1 mu2'
[]
[]
[MultiApps]
[sub]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[reporter_transfer]
type = SamplerReporterTransfer
from_reporter = 'average/value'
stochastic_reporter = 'constant'
from_multi_app = sub
sampler = sample
[]
[]
[Reporters]
[constant]
type = StochasticReporter
outputs = none
[]
[adaptive_MC]
type = AdaptiveMonteCarloDecision
output_value = constant/reporter_transfer:average:value
inputs = 'inputs'
sampler = sample
[]
[]
[Executioner]
type = Transient
num_steps = 1
[]
[Outputs]
[out]
type = JSON
[]
[](modules/stochastic_tools/test/tests/reporters/mapping/load_main.i)
[StochasticTools]
[]
[Distributions]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[D_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 8
distributions = 'S_dist D_dist'
execute_on = initial
min_procs_per_row = 2
[]
[]
[MultiApps]
[worker]
type = SamplerFullSolveMultiApp
input_files = map_sub.i
sampler = sample
mode = batch-restore
min_procs_per_app = 2
[]
[]
[Transfers]
[param_transfer]
type = SamplerParameterTransfer
to_multi_app = worker
sampler = sample
parameters = 'Kernels/source_u/value BCs/right_v/value'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = worker
stochastic_reporter = results
from_reporter = 'pod_coeffs/u_pod pod_coeffs/v_pod'
sampler = sample
[]
[]
[Reporters]
[results]
type = StochasticReporter
[]
[]
[Outputs]
[json]
type = JSON
execute_on = FINAL
execute_system_information_on = none
[]
file_base = map_variable
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/sobol.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2011
[]
[resample]
type = MonteCarlo
distributions = 'uniform_left uniform_right'
num_rows = 3
seed = 2013
[]
[sobol]
type = Sobol
sampler_a = sample
sampler_b = resample
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sobol
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sobol
parameters = 'BCs/left/value BCs/right/value'
execute_on = INITIAL
check_multiapp_execute_on = false
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/test/tests/surrogates/pod_rb/errors/trainer_and_surr.i)
[StochasticTools]
[]
[Distributions]
[k_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[alpha_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[S_dist]
type = Uniform
lower_bound = 2.5
upper_bound = 7.5
[]
[]
[Samplers]
[train_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 3
execute_on = PRE_MULTIAPP_SETUP
max_procs_per_row = 1
[]
[test_sample]
type = LatinHypercube
distributions = 'k_dist alpha_dist S_dist'
num_rows = 10
seed = 17
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[sub]
type = PODFullSolveMultiApp
input_files = sub.i
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin final'
max_procs_per_app = 1
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = train_sample
parameters = 'Materials/k/prop_values Materials/alpha/prop_values Kernels/source/value'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[data]
type = PODSamplerSolutionTransfer
from_multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'timestep_begin'
check_multiapp_execute_on = false
[]
[mode]
type = PODSamplerSolutionTransfer
to_multi_app = sub
sampler = train_sample
trainer_name = 'pod_rb'
execute_on = 'final'
check_multiapp_execute_on = false
[]
[res]
type = PODResidualTransfer
from_multi_app = sub
sampler = train_sample
trainer_name = "pod_rb"
execute_on = 'final'
check_multiapp_execute_on = false
[]
[]
[Trainers]
[pod_rb]
type = PODReducedBasisTrainer
var_names = 'u'
error_res = '1e-9'
tag_names = 'diff react bodyf'
tag_types = 'op op src'
execute_on = 'timestep_begin final'
[]
[]
[Surrogates]
[rbpod]
type = PODReducedBasisSurrogate
trainer = pod_rb
[]
[]
[VectorPostprocessors]
[res]
type = PODSurrogateTester
model = rbpod
sampler = test_sample
variable_name = "u"
to_compute = nodal_max
execute_on = 'final'
[]
[](modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/parent_transient.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 2
upper_bound = 4
[]
[]
[Samplers]
[mc]
type = MonteCarlo
num_rows = 5
distributions = 'uniform uniform'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Executioner]
type = Transient
num_steps = 3
[]
[MultiApps]
[runner]
type = SamplerTransientMultiApp
sampler = mc
input_files = 'sub.i'
execute_on = 'INITIAL TIMESTEP_BEGIN'
mode = batch-restore
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = mc
parameters = 'BCs/left/value BCs/right/value'
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = mc
to_vector_postprocessor = storage
from_postprocessor = average
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Outputs]
csv = true
[](modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/parent.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform_left]
type = Uniform
lower_bound = 0
upper_bound = 0.5
[]
[uniform_right]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform_left uniform_right'
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[MultiApps]
[sub]
type = SamplerTransientMultiApp
input_files = sub.i
sampler = sample
execute_on = 'INITIAL TIMESTEP_BEGIN'
[]
[]
[Transfers]
[runner]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[data]
type = SamplerPostprocessorTransfer
from_multi_app = sub
sampler = sample
to_vector_postprocessor = storage
from_postprocessor = avg
[]
[]
[VectorPostprocessors]
[storage]
type = StochasticResults
parallel_type = REPLICATED
contains_complete_history = true
execute_on = 'INITIAL TIMESTEP_END'
[]
[]
[Executioner]
type = Transient
num_steps = 2
[]
[Outputs]
[out]
type = CSV
[]
[](modules/stochastic_tools/test/tests/transfers/sampler_transfer/errors/parent_multiapp_type_error.i)
[StochasticTools]
auto_create_executioner = false
[]
[Distributions]
[uniform]
type = Uniform
lower_bound = 1
upper_bound = 2
[]
[]
[Samplers]
[sample]
type = MonteCarlo
num_rows = 3
distributions = 'uniform'
execute_on = INITIAL # create random numbers on initial and use them for each timestep
[]
[]
[MultiApps]
[sub]
type = TransientMultiApp
input_files = sub.i
positions = '0 0 0'
[]
[]
[Transfers]
[sub]
type = SamplerParameterTransfer
to_multi_app = sub
sampler = sample
parameters = 'BCs/left/value BCs/right/value'
[]
[]
[Executioner]
type = Transient
num_steps = 5
dt = 0.01
[]
[Outputs]
execute_on = 'INITIAL TIMESTEP_END'
[](modules/stochastic_tools/test/tests/multiapps/nested_multiapp/stm_small_batch.i)
[StochasticTools]
[]
[Samplers/sample]
type = InputMatrix
matrix = '0 4 8 12 16;
1 5 9 13 17;
2 6 10 14 18;
3 7 11 15 19'
[]
[GlobalParams]
sampler = sample
[]
[MultiApps]
[main]
type = SamplerFullSolveMultiApp
input_files = main.i
[]
[]
[Transfers]
[param]
type = SamplerParameterTransfer
to_multi_app = main
parameters = 'BCs/left/value sub:BCs/left/value sub:subsub:BCs/left/value sub:subsub0:BCs/right/value sub:subsub1:BCs/right/value'
[]
[data]
type = SamplerReporterTransfer
from_multi_app = main
stochastic_reporter = storage
from_reporter = 'val/value receive/sub_val receive/subsub0_left_val receive/subsub1_left_val receive/subsub0_right_val receive/subsub1_right_val'
[]
[]
[Reporters/storage]
type = StochasticReporter
parallel_type = ROOT
[](modules/stochastic_tools/examples/surrogates/pod_rb/2d_multireg/full_order.i)
[StochasticTools]
[]
[Distributions]
[D012_dist]
type = Uniform
lower_bound = 0.2
upper_bound = 0.8
[]
[D3_dist]
type = Uniform
lower_bound = 0.15
upper_bound = 0.6
[]
[absxs0_dist]
type = Uniform
lower_bound = 0.0425
upper_bound = 0.17
[]
[absxs1_dist]
type = Uniform
lower_bound = 0.065
upper_bound = 0.26
[]
[absxs2_dist]
type = Uniform
lower_bound = 0.04
upper_bound = 0.16
[]
[absxs3_dist]
type = Uniform
lower_bound = 0.005
upper_bound = 0.02
[]
[src_dist]
type = Uniform
lower_bound = 5
upper_bound = 20
[]
[]
[Samplers]
[sample]
type = LatinHypercube
distributions = 'D012_dist D012_dist D012_dist D3_dist
absxs0_dist absxs1_dist absxs2_dist absxs3_dist
src_dist src_dist src_dist'
num_rows = 1000
execute_on = PRE_MULTIAPP_SETUP
[]
[]
[MultiApps]
[runner]
type = SamplerFullSolveMultiApp
input_files = sub.i
sampler = sample
execute_on = 'timestep_begin'
[]
[]
[Transfers]
[quad]
type = SamplerParameterTransfer
to_multi_app = runner
sampler = sample
parameters = 'Materials/D0/prop_values
Materials/D1/prop_values
Materials/D2/prop_values
Materials/D3/prop_values
Materials/absxs0/prop_values
Materials/absxs1/prop_values
Materials/absxs2/prop_values
Materials/absxs3/prop_values
Kernels/src0/value
Kernels/src1/value
Kernels/src2/value'
execute_on = 'timestep_begin'
[]
[results]
type = SamplerPostprocessorTransfer
from_multi_app = runner
sampler = sample
to_vector_postprocessor = results
from_postprocessor = 'nodal_l2'
[]
[]
[VectorPostprocessors]
[results]
type = StochasticResults
[]
[]
[Outputs]
csv = true
[]