SamplerPostprocessorTransfer

This object is designed to transfer data from a Postprocessor to a VectorPostprocessor on the master application. This object must transfer data to a StochasticResults object.

Example Syntax

[Transfers]
  [runner]
    type = SamplerParameterTransfer
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
    execute_on = INITIAL
    check_multiapp_execute_on = false
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = avg
    execute_on = TIMESTEP_BEGIN
    check_multiapp_execute_on = false
  []
[]

/opt/civet/build_0/moose/modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = SobolSampler
    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
    execute_on = 'INITIAL TIMESTEP_BEGIN'
  []
[]

[Transfers]
  [runner]
    type = SamplerParameterTransfer
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
    execute_on = INITIAL
    check_multiapp_execute_on = false
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = avg
    execute_on = TIMESTEP_BEGIN
    check_multiapp_execute_on = false
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = sample
    execute_on = 'INITIAL TIMESTEP_END'
  []
[]

[Executioner]
  type = Transient
  num_steps = 5
  dt = 0.01
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  csv = true
[]

Input Parameters

multi_appThe name of the MultiApp to use.
C++ Type:MultiAppName
Options:
Description:The name of the MultiApp to use.

Required Parameters

check_multiapp_execute_onFalseWhen false the check between the multiapp and transfer execute on flags is not preformed.
Default:False
C++ Type:bool
Options:
Description:When false the check between the multiapp and transfer execute on flags is not preformed.
displaced_source_meshFalseWhether or not to use the displaced mesh for the source mesh.
Default:False
C++ Type:bool
Options:
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
Options:
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, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM, SAME_AS_MULTIAPP.
Default:SAME_AS_MULTIAPP
C++ Type:ExecFlagEnum
Options:NONE INITIAL LINEAR NONLINEAR TIMESTEP_END TIMESTEP_BEGIN FINAL CUSTOM SAME_AS_MULTIAPP
Description:The list of flag(s) indicating when this object should be executed, the available options include NONE, INITIAL, LINEAR, NONLINEAR, TIMESTEP_END, TIMESTEP_BEGIN, FINAL, CUSTOM, SAME_AS_MULTIAPP.
from_postprocessorThe name of the Postprocessors on the sub-app to transfer from.
C++ Type:PostprocessorName
Options:
Description:The name of the Postprocessors on the sub-app to transfer from.
samplerA the Sampler object that Transfer is associated..
C++ Type:SamplerName
Options:
Description:A the Sampler object that Transfer is associated..
to_vector_postprocessorThe name of the VectorPostprocessor in the MultiApp to transfer values to.
C++ Type:VectorPostprocessorName
Options:
Description:The name of the VectorPostprocessor in the MultiApp to transfer values to.

Optional Parameters

control_tagsAdds user-defined labels for accessing object parameters via control logic.
C++ Type:std::vector
Options:
Description:Adds user-defined labels for accessing object parameters via control logic.
enableTrueSet the enabled status of the MooseObject.
Default:True
C++ Type:bool
Options:
Description:Set the enabled status of the MooseObject.
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
Options:
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/sampler_postprocessor/errors/wrong_multi_app.i
modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i
modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_multiple.i
modules/stochastic_tools/examples/batch/transient.i
modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/require_stochastic_results.i
modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i
modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i
modules/stochastic_tools/test/tests/multiapps/batch_full_solve_multiapp/master_full_solve.i
modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i
modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_single.i
modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i
modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i
modules/stochastic_tools/examples/batch/full_solve.i

modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/errors/wrong_multi_app.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = SobolSampler
    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
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
    execute_on = INITIAL
    check_multiapp_execute_on = false
  []
  [data]
    type = SamplerPostprocessorTransfer
    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
    samplers = sample
  []
[]

[Executioner]
  type = Transient
  num_steps = 5
  dt = 0.01
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  csv = true
[]

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = SobolSampler
    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
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = avg
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    parallel_type = DISTRIBUTED
    samplers = sample
  []
[]

[Executioner]
  type = Transient
  num_steps = 1
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  [out]
    type = CSV
    execute_on = FINAL
  []
[]

modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_multiple.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  type = FEProblem
  solve = false
[]

[Executioner]
  type = Steady
[]

[Distributions]
  [uniform]
    type = UniformDistribution
    lower_bound = 5
    upper_bound = 10
  []
[]

[Samplers]
  [sample]
    type = MonteCarloSampler
    num_rows = 3
    distributions = 'uniform uniform'
    execute_on = 'PRE_MULTIAPP_SETUP'
  []
[]

[MultiApps]
  [sub]
    type = SamplerFullSolveMultiApp
    sampler = sample
    input_files = 'sub.i'
  []
[]

[Transfers]
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = size
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = sample
  []
[]

[Controls]
  [cmdline]
    type = MultiAppCommandLineControl
    multi_app = sub
    sampler = sample
    param_names = 'Mesh/xmax Mesh/ymax'
  []
[]

[Outputs]
  [out]
    type = CSV
    execute_on = FINAL
  []
[]

modules/stochastic_tools/examples/batch/transient.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  kernel_coverage_check = false
  solve = false
[]

[Distributions]
  [uniform]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 9
  []
[]

[Samplers]
  [mc]
    type = MonteCarloSampler
    n_samples = 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
    multi_app = runner
    parameters = 'BCs/left/value BCs/right/value'
    to_control = receiver
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = runner
    vector_postprocessor = storage
    postprocessor = average
  []
[]

[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_postprocessor/errors/require_stochastic_results.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = SobolSampler
    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
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
    execute_on = INITIAL
    check_multiapp_execute_on = false
  []
  [data]
    type = SamplerPostprocessorTransfer
    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
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  csv = true
[]

modules/stochastic_tools/test/tests/multiapps/batch_sampler_transient_multiapp/master_transient.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  kernel_coverage_check = false
  solve = false
[]

[Distributions]
  [uniform]
    type = UniformDistribution
    lower_bound = 2
    upper_bound = 4
  []
[]

[Samplers]
  [mc]
    type = MonteCarloSampler
    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
    multi_app = runner
    sampler = mc
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = runner
    sampler = mc
    to_vector_postprocessor = storage
    from_postprocessor = average
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = mc
    execute_on = 'INITIAL TIMESTEP_END'
  []
[]

[Outputs]
  csv = true
[]

modules/stochastic_tools/test/tests/transfers/sampler_postprocessor/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = SobolSampler
    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
    execute_on = 'INITIAL TIMESTEP_BEGIN'
  []
[]

[Transfers]
  [runner]
    type = SamplerParameterTransfer
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
    execute_on = INITIAL
    check_multiapp_execute_on = false
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = avg
    execute_on = TIMESTEP_BEGIN
    check_multiapp_execute_on = false
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = sample
    execute_on = 'INITIAL TIMESTEP_END'
  []
[]

[Executioner]
  type = Transient
  num_steps = 5
  dt = 0.01
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  csv = true
[]

modules/stochastic_tools/test/tests/multiapps/batch_full_solve_multiapp/master_full_solve.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  kernel_coverage_check = false
  solve = false
[]

[Distributions]
  [uniform_0]
    type = UniformDistribution
    lower_bound = 0.1
    upper_bound = 0.3
  []
[]

[Samplers]
  [mc]
    type = MonteCarloSampler
    num_rows = 5
    distributions = 'uniform_0'
  []
[]

[Executioner]
  type = Steady
[]

[MultiApps]
  [runner]
    type = SamplerFullSolveMultiApp
    sampler = mc
    input_files = 'sub.i'
    mode = batch-reset
  []
[]

[Transfers]
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = runner
    sampler = mc
    to_vector_postprocessor = storage
    from_postprocessor = average
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = mc
  []
[]

[Outputs]
  csv = true
  execute_on = 'FINAL'
[]

modules/stochastic_tools/test/tests/vectorpostprocessors/multiple_stochastic_results/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sobol]
    type = SobolSampler
    num_rows = 3
    distributions = 'uniform_left uniform_right'
    execute_on = INITIAL # create random numbers on initial and use them for each timestep
  []
  [mc]
    type = MonteCarloSampler
    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
    multi_app = sobol
    sampler = sobol
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [sobol_data]
    type = SamplerPostprocessorTransfer
    multi_app = sobol
    sampler = sobol
    to_vector_postprocessor = storage
    from_postprocessor = avg
  []

  [mc]
    type = SamplerParameterTransfer
    multi_app = mc
    sampler = mc
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [mc_data]
    type = SamplerPostprocessorTransfer
    multi_app = mc
    sampler = mc
    to_vector_postprocessor = storage
    from_postprocessor = avg
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    parallel_type = REPLICATED
    samplers = 'sobol mc'
  []
[]

[Executioner]
  type = Transient
  num_steps = 1
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  [out]
    type = CSV
    execute_on = FINAL
  []
[]

modules/stochastic_tools/test/tests/multiapps/batch_commandline_control/master_single.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  type = FEProblem
  solve = false
[]

[Executioner]
  type = Steady
[]

[Distributions]
  [uniform]
    type = UniformDistribution
    lower_bound = 5
    upper_bound = 10
  []
[]

[Samplers]
  [sample]
    type = MonteCarloSampler
    num_rows = 3
    distributions = 'uniform'
    execute_on = 'PRE_MULTIAPP_SETUP'
  []
[]

[MultiApps]
  [sub]
    type = SamplerFullSolveMultiApp
    sampler = sample
    input_files = 'sub.i'
    mode = batch-reset
  []
[]

[Transfers]
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = size
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = sample
  []
[]

[Controls]
  [cmdline]
    type = MultiAppCommandLineControl
    multi_app = sub
    sampler = sample
    param_names = 'Mesh/xmax'
  []
[]

[Outputs]
  [out]
    type = CSV
    execute_on = FINAL
  []
[]

modules/stochastic_tools/test/tests/vectorpostprocessors/stochastic_results_complete_history/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
  nx = 1
  ny = 1
[]

[Variables]
  [u]
  []
[]

[Distributions]
  [uniform_left]
    type = UniformDistribution
    lower_bound = 0
    upper_bound = 0.5
  []
  [uniform_right]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [sample]
    type = MonteCarloSampler
    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
    multi_app = sub
    sampler = sample
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = sub
    sampler = sample
    to_vector_postprocessor = storage
    from_postprocessor = avg
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    parallel_type = REPLICATED
    samplers = sample
    contains_complete_history = true
    execute_on = 'INITIAL TIMESTEP_END'
  []
[]

[Executioner]
  type = Transient
  num_steps = 2
[]

[Problem]
  solve = false
  kernel_coverage_check = false
[]

[Outputs]
  [out]
    type = CSV
  []
[]

modules/stochastic_tools/test/tests/transfers/batch_sampler_transfer/master.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  kernel_coverage_check = false
  solve = false
[]

[Distributions]
  [uniform_0]
    type = UniformDistribution
    lower_bound = 100
    upper_bound = 200
  []
  [uniform_1]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 2
  []
[]

[Samplers]
  [mc]
    type = MonteCarloSampler
    num_rows = 15
    distributions = 'uniform_0 uniform_1'
    execute_on = INITIAL
  []
[]

[Executioner]
  type = Steady
[]

[MultiApps]
  [runner]
    type = SamplerFullSolveMultiApp
    sampler = mc
    input_files = 'sub.i'
    mode = batch-reset
  []
[]

[Transfers]
  [runner]
    type = SamplerParameterTransfer
    multi_app = runner
    sampler = mc
    parameters = 'BCs/left/value BCs/right/value'
    to_control = 'stochastic'
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = runner
    sampler = mc
    to_vector_postprocessor = storage
    from_postprocessor = average
  []
[]

[VectorPostprocessors]
  [storage]
    type = StochasticResults
    samplers = mc
    execute_on = 'INITIAL TIMESTEP_END'
  []
  [data]
    type = SamplerData
    sampler = mc
  []
[]

[Outputs]
  csv = true
  execute_on = 'TIMESTEP_END'
[]

modules/stochastic_tools/examples/batch/full_solve.i

[Mesh]
  type = GeneratedMesh
  dim = 1
[]

[Problem]
  kernel_coverage_check = false
  solve = false
[]

[Distributions]
  [uniform]
    type = UniformDistribution
    lower_bound = 1
    upper_bound = 9
  []
[]

[Samplers]
  [mc]
    type = MonteCarloSampler
    n_samples = 10
    distributions = 'uniform uniform'
  []
[]

[Executioner]
  type = Steady
[]

[MultiApps]
  [runner]
    type = SamplerFullSolveMultiApp
    sampler = mc
    input_files = 'sub.i'
    mode = batch-restore
  []
[]

[Transfers]
  [runner]
    type = SamplerParameterTransfer
    multi_app = runner
    parameters = 'BCs/left/value BCs/right/value'
    to_control = receiver
  []
  [data]
    type = SamplerPostprocessorTransfer
    multi_app = runner
    vector_postprocessor = storage
    postprocessor = average
  []
[]

[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
[]

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SamplerPostprocessorTransfer

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