Skip to content

[MLMC] Update elliptic validation problem #87

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
riccardotosi merged 5 commits into from
Sep 10, 2021
Merged

[MLMC] Update elliptic validation problem #87

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
f5d2f1c
Start cleaning
riccardotosi Jul 23, 2021
1bfebe9
Remove duplicated files
riccardotosi Jul 23, 2021
eb76d59
Working with newer releases
riccardotosi Jul 23, 2021
a56103b
Run MLMC with uniform meshes for validation
riccardotosi Jul 27, 2021
d3294ef
Merge branch 'master' into mlmc-update-elliptic-problem
riccardotosi Jul 27, 2021
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions multilevel_monte_carlo/validation/elliptic_benchmark/README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,9 @@

**Kratos version:** 8.1

**XMC version:** 2.0
**XMC version:** Kratos default version

**PyCOMPSs version:** 2.7
**PyCOMPSs version:** Kratos default version to run in serial, >2.8 to run with `runcompss`

**Source files:** [Synchronous Monte Carlo](synchronous_monte_carlo), [Asynchronous Monte Carlo](asynchronous_monte_carlo), [Synchronous Multilevel Monte Carlo](synchronous_multilevel_monte_carlo), [Asynchronous Multilevel Monte Carlo](asynchronous_multilevel_monte_carlo)

Expand Down
96 changes: 52 additions & 44 deletions ...level_monte_carlo/validation/elliptic_benchmark/asynchronous_monte_carlo/run_mc_Kratos.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,81 +14,89 @@
if(len(sys.argv)==2):
parametersPath = str(sys.argv[1]) # set path to the parameters
else:
parametersPath = "../problem_settings/parameters_xmc_test_mc_Kratos_asynchronous_poisson_2d_with_combined_power_sums.json"
parametersPath = "../problem_settings/parameters_xmc_test_mc_Kratos_asynchronous_poisson_2d.json"

# read parameters
with open(parametersPath,'r') as parameter_file:
parameters = json.load(parameter_file)

# add path of the problem folder to python path
problem_id = parameters["solverWrapperInputDictionary"]["problemId"]
sys.path.append(os.path.join("..","xmc","classDefs_solverWrapper","problemDefs_KratosMultiphysics",problem_id))

# SolverWrapper
parameters["solverWrapperInputDictionary"]["qoiEstimator"] = parameters[
"monteCarloIndexInputDictionary"
]["qoiEstimator"]
# SampleGenerator
samplerInputDictionary = parameters["samplerInputDictionary"]
samplerInputDictionary['randomGeneratorInputDictionary'] = parameters["randomGeneratorInputDictionary"]
samplerInputDictionary['solverWrapperInputDictionary'] = parameters["solverWrapperInputDictionary"]

samplerInputDictionary["randomGeneratorInputDictionary"] = parameters[
"randomGeneratorInputDictionary"
]
samplerInputDictionary["solverWrapperInputDictionary"] = parameters[
"solverWrapperInputDictionary"
]
# MonteCarloIndex
monteCarloIndexInputDictionary = parameters["monteCarloIndexInputDictionary"]
monteCarloIndexInputDictionary["samplerInputDictionary"] = samplerInputDictionary

# Moment Estimators
qoiEstimatorInputDictionary = parameters["qoiEstimatorInputDictionary"]
combinedEstimatorInputDictionary = parameters["combinedEstimatorInputDictionary"]
costEstimatorInputDictionary = parameters["costEstimatorInputDictionary"]
# qoi estimators
monteCarloIndexInputDictionary["qoiEstimator"] = [monteCarloIndexInputDictionary["qoiEstimator"][0] for _ in range (0,parameters["solverWrapperInputDictionary"]["numberQoI"])]
monteCarloIndexInputDictionary["qoiEstimatorInputDictionary"] = [qoiEstimatorInputDictionary]*parameters["solverWrapperInputDictionary"]["numberQoI"]
# combined estimators
monteCarloIndexInputDictionary["combinedEstimator"] = [monteCarloIndexInputDictionary["combinedEstimator"][0] for _ in range (0,parameters["solverWrapperInputDictionary"]["numberCombinedQoi"])]
monteCarloIndexInputDictionary["combinedEstimatorInputDictionary"] = [combinedEstimatorInputDictionary]*parameters["solverWrapperInputDictionary"]["numberCombinedQoi"]
# cost estimator
monteCarloIndexInputDictionary["costEstimatorInputDictionary"] = costEstimatorInputDictionary

# MonoCriterion
criteriaArray = []
criteriaInputs = []
for monoCriterion in (parameters["monoCriteriaInpuctDictionary"]):
criteriaArray.append(xmc.monoCriterion.MonoCriterion(\
parameters["monoCriteriaInpuctDictionary"][monoCriterion]["criteria"],\
parameters["monoCriteriaInpuctDictionary"][monoCriterion]["tolerance"]))
criteriaInputs.append([parameters["monoCriteriaInpuctDictionary"][monoCriterion]["input"]])

for monoCriterion in parameters["monoCriteriaInputDictionary"]:
criteriaArray.append(
xmc.monoCriterion.MonoCriterion(
parameters["monoCriteriaInputDictionary"][monoCriterion]["criteria"],
parameters["monoCriteriaInputDictionary"][monoCriterion]["tolerance"],
)
)
criteriaInputs.append(
[parameters["monoCriteriaInputDictionary"][monoCriterion]["input"]]
)
# MultiCriterion
multiCriterionInputDictionary=parameters["multiCriterionInputDictionary"]
multiCriterionInputDictionary = parameters["multiCriterionInputDictionary"]
multiCriterionInputDictionary["criteria"] = criteriaArray
multiCriterionInputDictionary["inputsForCriterion"] = criteriaInputs
criterion = xmc.multiCriterion.MultiCriterion(**multiCriterionInputDictionary)

# ErrorEstimator
statErrorEstimator = xmc.errorEstimator.ErrorEstimator(**parameters["errorEstimatorInputDictionary"])

statErrorEstimator = xmc.errorEstimator.ErrorEstimator(
**parameters["errorEstimatorInputDictionary"]
)
# HierarchyOptimiser
hierarchyCostOptimiser = xmc.hierarchyOptimiser.HierarchyOptimiser(**parameters["hierarchyOptimiserInputDictionary"])

# Set tolerance from stopping criterion
parameters["hierarchyOptimiserInputDictionary"]["tolerance"] = parameters["monoCriteriaInputDictionary"]["statisticalError"]["tolerance"]
hierarchyCostOptimiser = xmc.hierarchyOptimiser.HierarchyOptimiser(
**parameters["hierarchyOptimiserInputDictionary"]
)
# EstimationAssembler
if "expectationAssembler" in parameters["estimationAssemblerInputDictionary"].keys():
expectationAssembler = xmc.estimationAssembler.EstimationAssembler(**parameters["estimationAssemblerInputDictionary"]["expectationAssembler"])
if (
"expectationAssembler"
in parameters["estimationAssemblerInputDictionary"].keys()
):
expectationAssembler = xmc.estimationAssembler.EstimationAssembler(
**parameters["estimationAssemblerInputDictionary"]["expectationAssembler"]
)
if "varianceAssembler" in parameters["estimationAssemblerInputDictionary"].keys():
varianceAssembler = xmc.estimationAssembler.EstimationAssembler(**parameters["estimationAssemblerInputDictionary"]["varianceAssembler"])

varianceAssembler = xmc.estimationAssembler.EstimationAssembler(
**parameters["estimationAssemblerInputDictionary"]["varianceAssembler"]
)
# MonteCarloSampler
monteCarloSamplerInputDictionary = parameters["monteCarloSamplerInputDictionary"]
monteCarloSamplerInputDictionary["indexConstructorDictionary"] = monteCarloIndexInputDictionary
monteCarloSamplerInputDictionary["assemblers"] = [expectationAssembler,varianceAssembler]
monteCarloSamplerInputDictionary[
"indexConstructorDictionary"
] = monteCarloIndexInputDictionary
monteCarloSamplerInputDictionary["assemblers"] = [
expectationAssembler,
varianceAssembler,
]
monteCarloSamplerInputDictionary["errorEstimators"] = [statErrorEstimator]
mcSampler = xmc.monteCarloSampler.MonteCarloSampler(**monteCarloSamplerInputDictionary)

# build Monte Carlo sampler object
mcSampler = xmc.monteCarloSampler.MonteCarloSampler(
**monteCarloSamplerInputDictionary
)
# XMCAlgorithm
XMCAlgorithmInputDictionary = parameters["XMCAlgorithmInputDictionary"]
XMCAlgorithmInputDictionary["monteCarloSampler"] = mcSampler
XMCAlgorithmInputDictionary["hierarchyOptimiser"] = hierarchyCostOptimiser
XMCAlgorithmInputDictionary["stoppingCriterion"] = criterion

algo = xmc.XMCAlgorithm(**XMCAlgorithmInputDictionary)

if (parameters["solverWrapperInputDictionary"]["asynchronous"] is True):
if parameters["solverWrapperInputDictionary"]["asynchronous"] is True:
algo.runAsynchronousXMC()
else:
algo.runXMC()
108 changes: 62 additions & 46 deletions ...arlo/validation/elliptic_benchmark/asynchronous_multilevel_monte_carlo/run_mlmc_Kratos.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -14,83 +14,99 @@
if(len(sys.argv)==2):
parametersPath = str(sys.argv[1]) # set path to the parameters
else:
parametersPath = "../problem_settings/parameters_xmc_test_mlmc_Kratos_asynchronous_poisson_2d_with_combined_power_sums.json"
parametersPath = "../problem_settings/parameters_xmc_test_mlmc_Kratos_asynchronous_poisson_2d.json"

# read parameters
with open(parametersPath,'r') as parameter_file:
parameters = json.load(parameter_file)

# add path of the problem folder to python path
problem_id = parameters["solverWrapperInputDictionary"]["problemId"]
sys.path.append(os.path.join("..","xmc","classDefs_solverWrapper","problemDefs_KratosMultiphysics",problem_id))

# SolverWrapper
parameters["solverWrapperInputDictionary"]["qoiEstimator"] = parameters[
"monteCarloIndexInputDictionary"
]["qoiEstimator"]
# SampleGenerator
samplerInputDictionary = parameters["samplerInputDictionary"]
samplerInputDictionary['randomGeneratorInputDictionary'] = parameters["randomGeneratorInputDictionary"]
samplerInputDictionary['solverWrapperInputDictionary'] = parameters["solverWrapperInputDictionary"]

samplerInputDictionary["randomGeneratorInputDictionary"] = parameters[
"randomGeneratorInputDictionary"
]
samplerInputDictionary["solverWrapperInputDictionary"] = parameters[
"solverWrapperInputDictionary"
]
# MonteCarloIndex Constructor
monteCarloIndexInputDictionary = parameters["monteCarloIndexInputDictionary"]
monteCarloIndexInputDictionary["samplerInputDictionary"] = samplerInputDictionary

# Moment Estimators
qoiEstimatorInputDictionary = parameters["qoiEstimatorInputDictionary"]
combinedEstimatorInputDictionary = parameters["combinedEstimatorInputDictionary"]
costEstimatorInputDictionary = parameters["costEstimatorInputDictionary"]
# qoi estimators
monteCarloIndexInputDictionary["qoiEstimator"] = [monteCarloIndexInputDictionary["qoiEstimator"][0] for _ in range (0,parameters["solverWrapperInputDictionary"]["numberQoI"])]
monteCarloIndexInputDictionary["qoiEstimatorInputDictionary"] = [qoiEstimatorInputDictionary]*parameters["solverWrapperInputDictionary"]["numberQoI"]
# combined estimators
monteCarloIndexInputDictionary["combinedEstimator"] = [monteCarloIndexInputDictionary["combinedEstimator"][0] for _ in range (0,parameters["solverWrapperInputDictionary"]["numberCombinedQoi"])]
monteCarloIndexInputDictionary["combinedEstimatorInputDictionary"] = [combinedEstimatorInputDictionary]*parameters["solverWrapperInputDictionary"]["numberCombinedQoi"]
# cost estimator
monteCarloIndexInputDictionary["costEstimatorInputDictionary"] = costEstimatorInputDictionary

# MonoCriterion
criteriaArray = []
criteriaInputs = []
for monoCriterion in (parameters["monoCriteriaInpuctDictionary"]):
criteriaArray.append(xmc.monoCriterion.MonoCriterion(\
parameters["monoCriteriaInpuctDictionary"][monoCriterion]["criteria"],\
parameters["monoCriteriaInpuctDictionary"][monoCriterion]["tolerance"]))
criteriaInputs.append([parameters["monoCriteriaInpuctDictionary"][monoCriterion]["input"]])

for monoCriterion in parameters["monoCriteriaInputDictionary"]:
criteriaArray.append(
xmc.monoCriterion.MonoCriterion(
parameters["monoCriteriaInputDictionary"][monoCriterion]["criteria"],
parameters["monoCriteriaInputDictionary"][monoCriterion]["tolerance"],
)
)
criteriaInputs.append(
[parameters["monoCriteriaInputDictionary"][monoCriterion]["input"]]
)
# MultiCriterion
multiCriterionInputDictionary=parameters["multiCriterionInputDictionary"]
multiCriterionInputDictionary = parameters["multiCriterionInputDictionary"]
multiCriterionInputDictionary["criteria"] = criteriaArray
multiCriterionInputDictionary["inputsForCriterion"] = criteriaInputs
criterion = xmc.multiCriterion.MultiCriterion(**multiCriterionInputDictionary)

# ErrorEstimator
MSEErrorEstimator = xmc.errorEstimator.ErrorEstimator(**parameters["errorEstimatorInputDictionary"])

MSEErrorEstimator = xmc.errorEstimator.ErrorEstimator(
**parameters["errorEstimatorInputDictionary"]
)
# HierarchyOptimiser
hierarchyCostOptimiser = xmc.hierarchyOptimiser.HierarchyOptimiser(**parameters["hierarchyOptimiserInputDictionary"])

# Set tolerance from stopping criterion
parameters["hierarchyOptimiserInputDictionary"]["tolerance"] = parameters["monoCriteriaInputDictionary"]["statisticalError"]["tolerance"]
hierarchyCostOptimiser = xmc.hierarchyOptimiser.HierarchyOptimiser(
**parameters["hierarchyOptimiserInputDictionary"]
)
# EstimationAssembler
if "expectationAssembler" in parameters["estimationAssemblerInputDictionary"].keys():
expectationAssembler = xmc.estimationAssembler.EstimationAssembler(**parameters["estimationAssemblerInputDictionary"]["expectationAssembler"])
if "discretizationErrorAssembler" in parameters["estimationAssemblerInputDictionary"].keys():
discretizationErrorAssembler = xmc.estimationAssembler.EstimationAssembler(**parameters["estimationAssemblerInputDictionary"]["discretizationErrorAssembler"])
if (
"expectationAssembler"
in parameters["estimationAssemblerInputDictionary"].keys()
):
expectationAssembler = xmc.estimationAssembler.EstimationAssembler(
**parameters["estimationAssemblerInputDictionary"]["expectationAssembler"]
)
if (
"discretizationErrorAssembler"
in parameters["estimationAssemblerInputDictionary"].keys()
):
discretizationErrorAssembler = xmc.estimationAssembler.EstimationAssembler(
**parameters["estimationAssemblerInputDictionary"][
"discretizationErrorAssembler"
]
)
if "varianceAssembler" in parameters["estimationAssemblerInputDictionary"].keys():
varianceAssembler = xmc.estimationAssembler.EstimationAssembler(**parameters["estimationAssemblerInputDictionary"]["varianceAssembler"])

varianceAssembler = xmc.estimationAssembler.EstimationAssembler(
**parameters["estimationAssemblerInputDictionary"]["varianceAssembler"]
)
# MonteCarloSampler
monteCarloSamplerInputDictionary = parameters["monteCarloSamplerInputDictionary"]
monteCarloSamplerInputDictionary["indexConstructorDictionary"] = monteCarloIndexInputDictionary
monteCarloSamplerInputDictionary["assemblers"] = [expectationAssembler,discretizationErrorAssembler,varianceAssembler]
monteCarloSamplerInputDictionary[
"indexConstructorDictionary"
] = monteCarloIndexInputDictionary
monteCarloSamplerInputDictionary["assemblers"] = [
expectationAssembler,
discretizationErrorAssembler,
varianceAssembler,
]
monteCarloSamplerInputDictionary["errorEstimators"] = [MSEErrorEstimator]
mcSampler = xmc.monteCarloSampler.MonteCarloSampler(**monteCarloSamplerInputDictionary)

# build Monte Carlo sampler object
mcSampler = xmc.monteCarloSampler.MonteCarloSampler(
**monteCarloSamplerInputDictionary
)
# XMCAlgorithm
XMCAlgorithmInputDictionary = parameters["XMCAlgorithmInputDictionary"]
XMCAlgorithmInputDictionary["monteCarloSampler"] = mcSampler
XMCAlgorithmInputDictionary["hierarchyOptimiser"] = hierarchyCostOptimiser
XMCAlgorithmInputDictionary["stoppingCriterion"] = criterion

algo = xmc.XMCAlgorithm(**XMCAlgorithmInputDictionary)

if (parameters["solverWrapperInputDictionary"]["asynchronous"] is True):
if parameters["solverWrapperInputDictionary"]["asynchronous"] is True:
algo.runAsynchronousXMC()
else:
algo.runXMC()
49 changes: 49 additions & 0 deletions ...ilevel_monte_carlo/validation/elliptic_benchmark/problem_settings/parameters_level_1.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,49 @@
{
"problem_data" : {
"problem_name" : "poisson_square_2d",
"model_part_name" : "MainModelPart",
"domain_size" : 2,
"parallel_type" : "OpenMP",
"time_step" : 1.1,
"start_time" : 0.0,
"end_time" : 1.0,
"echo_level" : 0
},
"solver_settings" : {
"model_part_name" : "MainModelPart",
"domain_size" : 2,
"solver_type" : "stationary",
"echo_level": 0,
"model_import_settings": {
"input_type": "mdpa",
"input_filename": "../problem_settings/square_level_1"
},
"material_import_settings" : {
"materials_filename" : "../problem_settings/materials_poisson_square_2d.json"
},
"time_stepping" : {
"time_step": 1.1
},
"compute_reactions": false,
"element_replace_settings" : {
"element_name" : "LaplacianElement",
"condition_name" : "ThermalFace"
},
"problem_domain_sub_model_part_list": ["Parts_Domain"],
"processes_sub_model_part_list": ["Subpart_Boundary"],
"auxiliary_variables_list" : []
},
"processes" : {
"constraints_process_list" : [{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"Parameters" : {
"model_part_name" : "MainModelPart.Subpart_Boundary",
"variable_name" : "TEMPERATURE",
"constrained" : true,
"value" : 0.0,
"interval" : [0.0,"End"]
}
}]
}
}
49 changes: 49 additions & 0 deletions ...ilevel_monte_carlo/validation/elliptic_benchmark/problem_settings/parameters_level_2.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,49 @@
{
"problem_data" : {
"problem_name" : "poisson_square_2d",
"model_part_name" : "MainModelPart",
"domain_size" : 2,
"parallel_type" : "OpenMP",
"time_step" : 1.1,
"start_time" : 0.0,
"end_time" : 1.0,
"echo_level" : 0
},
"solver_settings" : {
"model_part_name" : "MainModelPart",
"domain_size" : 2,
"solver_type" : "stationary",
"echo_level": 0,
"model_import_settings": {
"input_type": "mdpa",
"input_filename": "../problem_settings/square_level_2"
},
"material_import_settings" : {
"materials_filename" : "../problem_settings/materials_poisson_square_2d.json"
},
"time_stepping" : {
"time_step": 1.1
},
"compute_reactions": false,
"element_replace_settings" : {
"element_name" : "LaplacianElement",
"condition_name" : "ThermalFace"
},
"problem_domain_sub_model_part_list": ["Parts_Domain"],
"processes_sub_model_part_list": ["Subpart_Boundary"],
"auxiliary_variables_list" : []
},
"processes" : {
"constraints_process_list" : [{
"python_module" : "assign_scalar_variable_process",
"kratos_module" : "KratosMultiphysics",
"Parameters" : {
"model_part_name" : "MainModelPart.Subpart_Boundary",
"variable_name" : "TEMPERATURE",
"constrained" : true,
"value" : 0.0,
"interval" : [0.0,"End"]
}
}]
}
}
Loading