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test_sqlite_recorder.py
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test_sqlite_recorder.py
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""" Unit test for the SqliteRecorder. """
import errno
import os
import unittest
import numpy as np
import sqlite3
from shutil import rmtree
from tempfile import mkdtemp
import openmdao.api as om
from openmdao.utils.general_utils import set_pyoptsparse_opt
from openmdao.utils.assert_utils import assert_no_warning
from openmdao.test_suite.components.ae_tests import AEComp
from openmdao.test_suite.components.sellar import SellarDerivatives, SellarDerivativesGrouped, \
SellarProblem, SellarStateConnection, SellarProblemWithArrays, SellarDis1, SellarDis2
from openmdao.test_suite.components.paraboloid import Paraboloid
from openmdao.test_suite.components.paraboloid_problem import ParaboloidProblem
from openmdao.solvers.linesearch.tests.test_backtracking import ImplCompTwoStates
from openmdao.recorders.tests.sqlite_recorder_test_utils import assertMetadataRecorded, \
assertDriverIterDataRecorded, assertSystemIterDataRecorded, assertSolverIterDataRecorded, \
assertViewerDataRecorded, assertSystemMetadataIdsRecorded, assertSystemIterCoordsRecorded, \
assertDriverDerivDataRecorded, assertProblemDerivDataRecorded
from openmdao.recorders.tests.recorder_test_utils import run_driver
from openmdao.utils.assert_utils import assert_near_equal, assert_warning, assert_equal_arrays
from openmdao.utils.general_utils import determine_adder_scaler
from openmdao.utils.testing_utils import use_tempdirs
# check that pyoptsparse is installed. if it is, try to use SLSQP.
OPT, OPTIMIZER = set_pyoptsparse_opt('SLSQP')
if OPTIMIZER:
from openmdao.drivers.pyoptsparse_driver import pyOptSparseDriver
class Cycle(om.Group):
def setup(self):
self.add_subsystem('d1', SellarDis1())
self.add_subsystem('d2', SellarDis2())
self.connect('d1.y1', 'd2.y1')
self.nonlinear_solver = om.NonlinearBlockGS()
self.nonlinear_solver.options['iprint'] = 2
self.nonlinear_solver.options['maxiter'] = 20
self.linear_solver = om.DirectSolver()
# paths are relative, not absolute like for Driver and Problem
self.nonlinear_solver.recording_options['includes'] = ['d1*']
self.nonlinear_solver.recording_options['excludes'] = ['*z']
class SellarMDAConnect(om.Group):
def setup(self):
indeps = self.add_subsystem('indeps', om.IndepVarComp())
indeps.add_output('x', 1.0)
indeps.add_output('z', np.array([5.0, 2.0]))
self.add_subsystem('cycle', Cycle())
self.add_subsystem('obj_cmp', om.ExecComp('obj = x**2 + z[1] + y1 + exp(-y2)',
z=np.array([0.0, 0.0]), x=0.0))
self.add_subsystem('con_cmp1', om.ExecComp('con1 = 3.16 - y1'))
self.add_subsystem('con_cmp2', om.ExecComp('con2 = y2 - 24.0'))
self.connect('indeps.x', ['cycle.d1.x', 'obj_cmp.x'])
self.connect('indeps.z', ['cycle.d1.z', 'cycle.d2.z', 'obj_cmp.z'])
self.connect('cycle.d1.y1', ['obj_cmp.y1', 'con_cmp1.y1'])
self.connect('cycle.d2.y2', ['obj_cmp.y2', 'con_cmp2.y2'])
@use_tempdirs
class TestSqliteRecorder(unittest.TestCase):
def setUp(self):
self.filename = "sqlite_test"
self.recorder = om.SqliteRecorder(self.filename, record_viewer_data=False)
self.eps = 1e-3
def test_only_desvars_recorded(self):
prob = SellarProblem()
driver = prob.driver
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = False
driver.recording_options['record_constraints'] = False
driver.recording_options['includes'] = []
driver.add_recorder(self.recorder)
prob.setup()
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'Driver', (0, )]
expected_outputs = {"x": [1.0, ], "z": [5.0, 2.0]}
expected_data = ((coordinate, (t0, t1), expected_outputs, None, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_add_recorder_after_setup(self):
prob = SellarProblem()
driver = prob.driver
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = False
driver.recording_options['record_constraints'] = False
driver.recording_options['includes'] = []
driver.add_recorder(self.recorder)
prob.setup()
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'Driver', (0, )]
expected_outputs = {"x": [1.0, ], "z": [5.0, 2.0]}
expected_data = ((coordinate, (t0, t1), expected_outputs, None, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_only_objectives_recorded(self):
prob = SellarProblem()
driver = prob.driver
driver.recording_options['record_desvars'] = False
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = False
driver.recording_options['includes'] = []
driver.add_recorder(self.recorder)
prob.setup()
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'Driver', (0, )]
expected_objectives = {"obj_cmp.obj": [28.58830817, ]}
expected_outputs = expected_objectives
expected_data = ((coordinate, (t0, t1), expected_outputs, None, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_only_constraints_recorded(self):
prob = SellarProblem()
driver = prob.driver
driver.recording_options['record_desvars'] = False
driver.recording_options['record_objectives'] = False
driver.recording_options['record_constraints'] = True
driver.recording_options['includes'] = []
driver.add_recorder(self.recorder)
prob.setup()
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'Driver', (0, )]
expected_constraints = {
"con_cmp1.con1": [-22.42830237, ],
"con_cmp2.con2": [-11.94151185, ],
}
expected_outputs = expected_constraints
expected_data = ((coordinate, (t0, t1), expected_outputs, None, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_simple_driver_recording(self):
prob = ParaboloidProblem()
driver = prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = True
driver.recording_options['record_derivatives'] = True
driver.recording_options['includes'] = ['*']
driver.add_recorder(self.recorder)
prob.setup()
prob.set_solver_print(0)
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'ScipyOptimize_SLSQP', (4, )]
expected_desvars = {"p1.x": [7.16706813], "p2.y": [-7.83293187]}
expected_objectives = {"comp.f_xy": [-27.0833]}
expected_constraints = {"con.c": [-15.0]}
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_data = ((coordinate, (t0, t1), expected_outputs, expected_inputs, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
expected_derivs = {
"comp.f_xy!p1.x": np.array([[0.50120438]]),
"comp.f_xy!p2.y": np.array([[-0.49879562]]),
"con.c!p1.x": np.array([[-1.0]]),
"con.c!p2.y": np.array([[1.0]])
}
expected_data = ((coordinate, (t0, t1), expected_derivs),)
assertDriverDerivDataRecorded(self, expected_data, self.eps)
def test_driver_recording_ndarray_var_settings(self):
prob = SellarProblemWithArrays()
driver = prob.driver
driver.recording_options['record_desvars'] = False
driver.recording_options['record_objectives'] = False
driver.recording_options['record_constraints'] = True
driver.recording_options['includes'] = []
driver.add_recorder(self.recorder)
prob.setup()
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'Driver', (0, )]
expected_constraints = {
"con_cmp1.con1": [-22.42830237, ],
"con_cmp2.con2": [-11.94151185, ],
}
expected_outputs = expected_constraints
expected_data = ((coordinate, (t0, t1), expected_outputs, None, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
@unittest.skipIf(OPT is None, "pyoptsparse is not installed")
@unittest.skipIf(OPTIMIZER is None, "pyoptsparse is not providing SLSQP")
def test_simple_driver_recording_pyoptsparse(self):
prob = ParaboloidProblem()
driver = prob.driver = pyOptSparseDriver(optimizer='SLSQP')
driver.options['print_results'] = False
driver.opt_settings['ACC'] = 1e-9
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = True
driver.recording_options['record_derivatives'] = True
driver.recording_options['includes'] = ['*']
driver.add_recorder(self.recorder)
prob.setup()
prob.set_solver_print(0)
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'pyOptSparse_SLSQP', (3, )]
expected_desvars = {"p1.x": [7.16706813], "p2.y": [-7.83293187]}
expected_objectives = {"comp.f_xy": [-27.0833]}
expected_constraints = {"con.c": [-15.0]}
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_data = ((coordinate, (t0, t1), expected_outputs, expected_inputs, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
expected_derivs = {
"comp.f_xy!p1.x": np.array([[0.50120438]]),
"comp.f_xy!p2.y": np.array([[-0.49879562]]),
"con.c!p1.x": np.array([[-1.0]]),
"con.c!p2.y": np.array([[1.0]])
}
expected_data = ((coordinate, (t0, t1), expected_derivs),)
assertDriverDerivDataRecorded(self, expected_data, self.eps)
def test_simple_driver_recording_with_prefix(self):
prob = ParaboloidProblem()
driver = prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = True
driver.recording_options['record_derivatives'] = True
driver.recording_options['includes'] = ['*']
driver.add_recorder(self.recorder)
prob.setup()
prob.set_solver_print(0)
run1_t0, run1_t1 = run_driver(prob, case_prefix='Run1')
run2_t0, run2_t1 = run_driver(prob, case_prefix='Run2')
prob.cleanup()
run1_coord = [0, 'ScipyOptimize_SLSQP', (4, )] # 1st run, 5 iterations
run2_coord = [0, 'ScipyOptimize_SLSQP', (0, )] # 2nd run, 1 iteration
expected_desvars = {"p1.x": [7.16706813], "p2.y": [-7.83293187]}
expected_objectives = {"comp.f_xy": [-27.0833]}
expected_constraints = {"con.c": [-15.0]}
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_data = (
(run1_coord, (run1_t0, run1_t1), expected_outputs, expected_inputs, None),
)
assertDriverIterDataRecorded(self, expected_data, self.eps, prefix='Run1')
expected_data = (
(run2_coord, (run2_t0, run2_t1), expected_outputs, expected_inputs, None),
)
assertDriverIterDataRecorded(self, expected_data, self.eps, prefix='Run2')
expected_derivs = {
"comp.f_xy!p1.x": np.array([[0.50120438]]),
"comp.f_xy!p2.y": np.array([[-0.49879562]]),
"con.c!p1.x": np.array([[-1.0]]),
"con.c!p2.y": np.array([[1.0]])
}
expected_data = (
(run1_coord, (run1_t0, run1_t1), expected_derivs),
)
assertDriverDerivDataRecorded(self, expected_data, self.eps, prefix='Run1')
def test_driver_everything_recorded_by_default(self):
prob = ParaboloidProblem()
driver = prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
driver.add_recorder(self.recorder)
driver.recording_options['includes'] = ['*']
prob.setup()
prob.set_solver_print(0)
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'ScipyOptimize_SLSQP', (3, )]
expected_desvars = {"p1.x": [7.16706813, ], "p2.y": [-7.83293187]}
expected_objectives = {"comp.f_xy": [-27.0833]}
expected_constraints = {"con.c": [-15.0]}
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_data = ((coordinate, (t0, t1), expected_outputs, expected_inputs, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_driver_records_metadata(self):
prob = SellarProblem()
recorder = om.SqliteRecorder(self.filename)
driver = prob.driver
driver.recording_options['includes'] = ["p1.x"]
driver.add_recorder(recorder)
prob.setup()
prob.final_setup() # Conclude setup but don't run model.
prob.cleanup()
prom2abs = {
'input': {
'z': ['d1.z', 'd2.z', 'obj_cmp.z'],
'x': ['d1.x', 'obj_cmp.x'],
'y2': ['d1.y2', 'obj_cmp.y2', 'con_cmp2.y2'],
'y1': ['d2.y1', 'obj_cmp.y1', 'con_cmp1.y1']
},
'output': {
'_auto_ivc.v0': ['_auto_ivc.v0'],
'_auto_ivc.v1': ['_auto_ivc.v1'],
'y1': ['d1.y1'],
'y2': ['d2.y2'],
'obj': ['obj_cmp.obj'],
'con1': ['con_cmp1.con1'],
'con2': ['con_cmp2.con2']
}
}
abs2prom = {
'input': {
'd1.z': 'z',
'd1.x': 'x',
'd1.y2': 'y2',
'd2.z': 'z',
'd2.y1': 'y1',
'obj_cmp.x': 'x',
'obj_cmp.y1': 'y1',
'obj_cmp.y2': 'y2',
'obj_cmp.z': 'z',
'con_cmp1.y1': 'y1',
'con_cmp2.y2': 'y2'
},
'output': {
'_auto_ivc.v0': '_auto_ivc.v0',
'_auto_ivc.v1': '_auto_ivc.v1',
'd1.y1': 'y1',
'd2.y2': 'y2',
'obj_cmp.obj': 'obj',
'con_cmp1.con1': 'con1',
'con_cmp2.con2': 'con2'
}
}
assertMetadataRecorded(self, prom2abs, abs2prom)
expected_problem_metadata = {
'connections_list_length': 11,
'tree_length': 10,
'tree_children_length': 5,
'abs2prom': abs2prom,
}
assertViewerDataRecorded(self, expected_problem_metadata)
def test_system_record_model_metadata(self):
# first check to see if recorded recursively, which is the default
prob = om.Problem(model=SellarDerivatives())
prob.setup()
recorder = om.SqliteRecorder("cases.sql")
prob.model.add_recorder(recorder)
prob.set_solver_print(level=0)
prob.run_model()
prob.cleanup()
cr = om.CaseReader("cases.sql")
# Quick check to see that keys and values were recorded
for key in ['root', '_auto_ivc', 'd1', 'd2', 'obj_cmp', 'con_cmp1', 'con_cmp2']:
self.assertTrue(key in cr.system_options.keys())
value = cr.system_options['root']['component_options']['assembled_jac_type']
self.assertEqual(value, 'csc') # quick check only. Too much to check exhaustively
def test_record_system_options(self):
# Regardless what object the case recorder is attached to, system options
# should be recorded for all systems in the model
expected_system_options_keys = ['root', '_auto_ivc', 'd1', 'd2', 'obj_cmp', 'con_cmp1',
'con_cmp2']
# Recorder on Driver
prob = om.Problem(model=SellarDerivatives())
prob.setup()
recorder = om.SqliteRecorder("cases_driver.sql")
prob.driver.add_recorder(recorder)
prob.set_solver_print(level=0)
prob.run_model()
prob.cleanup()
cr = om.CaseReader("cases_driver.sql")
# Quick check to see that keys and values were recorded
for key in expected_system_options_keys:
self.assertTrue(key in cr.system_options.keys())
value = cr.system_options['root']['component_options']['assembled_jac_type']
self.assertEqual('csc', value) # quick check only. Too much to check exhaustively
# Recorder on Problem
prob = om.Problem(model=SellarDerivatives())
prob.setup()
recorder = om.SqliteRecorder("cases_problem.sql")
prob.add_recorder(recorder)
prob.set_solver_print(level=0)
prob.run_model()
prob.cleanup()
cr = om.CaseReader("cases_problem.sql")
# Quick check to see that keys and values were recorded
for key in expected_system_options_keys:
self.assertTrue(key in cr.system_options.keys())
value = cr.system_options['root']['component_options']['assembled_jac_type']
self.assertEqual(value, 'csc') # quick check only. Too much to check exhaustively
# Recorder on a subsystem
prob = om.Problem(model=SellarDerivatives())
prob.setup()
recorder = om.SqliteRecorder("cases_subsystem.sql")
prob.model.d1.add_recorder(recorder)
prob.set_solver_print(level=0)
prob.run_model()
prob.cleanup()
cr = om.CaseReader("cases_subsystem.sql")
# Quick check to see that keys and values were recorded
for key in expected_system_options_keys:
self.assertTrue(key in cr.system_options.keys())
value = cr.system_options['root']['component_options']['assembled_jac_type']
self.assertEqual(value, 'csc') # quick check only. Too much to check exhaustively
# Recorder on a solver
prob = om.Problem(model=SellarDerivatives())
prob.setup()
recorder = om.SqliteRecorder("cases_solver.sql")
prob.model.nonlinear_solver.add_recorder(recorder)
prob.set_solver_print(level=0)
prob.run_model()
prob.cleanup()
cr = om.CaseReader("cases_solver.sql")
# Quick check to see that keys and values were recorded
for key in expected_system_options_keys:
self.assertTrue(key in cr.system_options.keys())
value = cr.system_options['root']['component_options']['assembled_jac_type']
self.assertEqual(value, 'csc') # quick check only. Too much to check exhaustively
def test_warning_system_options_overwriting(self):
prob = ParaboloidProblem()
prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
prob.add_recorder(self.recorder)
prob.setup()
prob.set_solver_print(0)
prob.run_driver()
prob.record('final')
prob.setup()
msg = "The model is being run again, if the options or scaling of any components " \
"has changed then only their new values will be recorded."
with assert_warning(UserWarning, msg):
prob.run_driver()
def test_without_n2_data(self):
prob = SellarProblem()
recorder = om.SqliteRecorder(self.filename, record_viewer_data=False)
prob.driver.add_recorder(recorder)
prob.setup()
prob.final_setup() # Conclude setup but don't run model.
prob.cleanup()
assertViewerDataRecorded(self, None)
def test_record_system(self):
prob = SellarProblem()
prob.setup()
model = prob.model
model.recording_options['record_inputs'] = True
model.recording_options['record_outputs'] = True
model.recording_options['record_residuals'] = True
model.add_recorder(self.recorder)
model.nonlinear_solver.options['use_apply_nonlinear'] = True
d1 = model.d1 # SellarDis1withDerivatives, an ExplicitComp
d1.recording_options['record_inputs'] = True
d1.recording_options['record_outputs'] = True
d1.recording_options['record_residuals'] = True
d1.add_recorder(self.recorder)
obj_cmp = model.obj_cmp # an ExecComp
obj_cmp.recording_options['record_inputs'] = True
obj_cmp.recording_options['record_outputs'] = True
obj_cmp.recording_options['record_residuals'] = True
obj_cmp.add_recorder(self.recorder)
t0, t1 = run_driver(prob)
expected_data = [
# data from 'd1'
[
# coords
[0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ),
'NonlinearBlockGS', (6, ), 'd1._solve_nonlinear', (6, )],
# timestamps
(t0, t1),
# inputs
{"d1.y2": [12.05848815], "d1.z": [5.0, 2.0], "d1.x": [1.0, ]},
# outputs
{"d1.y1": [25.58830237]},
# residuals
{"d1.y1": [0.0]}
],
# data from 'obj_cmp'
[
# coords
[0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ),
'NonlinearBlockGS', (6, ), 'obj_cmp._solve_nonlinear', (6, )],
# timestamps
(t0, t1),
# inputs
{"obj_cmp.z": [5.0, 2.0],
"obj_cmp.y1": [25.58830236],
"obj_cmp.x": [1.0, ],
"obj_cmp.y2": [12.05857185]},
# outputs
{"obj_cmp.obj": [28.58830816]},
# residuals
{"obj_cmp.obj": [0.0]}
],
]
assertSystemIterDataRecorded(self, expected_data, self.eps)
# run again with prefix, only changes should be iter count reset and timestamps
t0, t1 = run_driver(prob, case_prefix='Run#2')
prob.cleanup()
expected_data[0][0] = [0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ),
'NonlinearBlockGS', (0, ), 'd1._solve_nonlinear', (0, )]
expected_data[0][1] = (t0, t1)
expected_data[1][0] = [0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ),
'NonlinearBlockGS', (0, ), 'obj_cmp._solve_nonlinear', (0, )]
expected_data[1][1] = (t0, t1)
assertSystemIterDataRecorded(self, expected_data, self.eps, prefix='Run#2')
def test_includes(self):
prob = ParaboloidProblem()
driver = prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = True
driver.recording_options['includes'] = ['*']
driver.recording_options['excludes'] = ['y*']
driver.add_recorder(self.recorder)
prob.setup()
prob.set_solver_print(0)
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'ScipyOptimize_SLSQP', (3, )]
expected_desvars = {"p1.x": prob["p1.x"], "p2.y": prob["p2.y"]}
expected_objectives = {"comp.f_xy": prob['comp.f_xy']}
expected_constraints = {"con.c": prob['con.c']}
expected_responses = expected_objectives.copy()
expected_responses.update(expected_constraints)
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_data = ((coordinate, (t0, t1), expected_outputs, expected_inputs, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_includes_post_setup(self):
prob = ParaboloidProblem()
driver = prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
prob.setup()
# Set up recorder after intitial setup.
driver.add_recorder(self.recorder)
driver.recording_options['record_desvars'] = True
driver.recording_options['record_objectives'] = True
driver.recording_options['record_constraints'] = True
driver.recording_options['includes'] = ['*']
driver.recording_options['excludes'] = ['y*']
prob.set_solver_print(0)
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [0, 'ScipyOptimize_SLSQP', (3, )]
expected_desvars = {"p1.x": prob["p1.x"], "p2.y": prob["p2.y"]}
expected_objectives = {"comp.f_xy": prob['comp.f_xy']}
expected_constraints = {"con.c": prob['con.c']}
expected_outputs = expected_desvars
expected_outputs.update(expected_objectives)
expected_outputs.update(expected_constraints)
expected_inputs = {
"con.x": 7.1666667,
"comp.y": -7.83333333,
"comp.x": 7.1666667,
"con.y": -7.8333333
}
expected_data = ((coordinate, (t0, t1), expected_outputs, expected_inputs, None),)
assertDriverIterDataRecorded(self, expected_data, self.eps)
def test_record_system_with_hierarchy(self):
prob = SellarProblem(SellarDerivativesGrouped, nonlinear_solver=om.NonlinearRunOnce)
prob.setup(mode='rev')
model = prob.model
model.recording_options['record_inputs'] = True
model.recording_options['record_outputs'] = True
model.recording_options['record_residuals'] = True
model.add_recorder(self.recorder)
model.mda.nonlinear_solver.options['use_apply_nonlinear'] = True
d1 = model.mda.d1
d1.recording_options['record_inputs'] = True
d1.recording_options['record_outputs'] = True
d1.recording_options['record_residuals'] = True
d1.add_recorder(self.recorder)
d2 = model.mda.d2
d2.recording_options['record_inputs'] = True
d2.recording_options['record_outputs'] = True
d2.recording_options['record_residuals'] = True
d2.add_recorder(self.recorder)
prob.driver = om.ScipyOptimizeDriver(disp=False, tol=1e-9)
t0, t1 = run_driver(prob)
prob.cleanup()
#
# check data for 'd1'
#
coordinate = [
0,
'ScipyOptimize_SLSQP', (1, ),
'root._solve_nonlinear', (1, ),
'NLRunOnce', (0, ),
'mda._solve_nonlinear', (1, ),
'NonlinearBlockGS', (0,),
'mda.d1._solve_nonlinear', (7, )
]
expected_inputs = {
"mda.d1.z": [5.0, 2.0],
"mda.d1.x": [1.0, ],
"mda.d1.y2": [12.0584865, ],
}
expected_outputs = {"mda.d1.y1": [25.5883027, ], }
expected_residuals = {"mda.d1.y1": [0.0, ], }
expected_data = (
(coordinate, (t0, t1), expected_inputs, expected_outputs, expected_residuals),
)
assertSystemIterDataRecorded(self, expected_data, self.eps)
#
# check data for 'd2'
#
coordinate = [
0,
'ScipyOptimize_SLSQP', (1, ),
'root._solve_nonlinear', (1, ),
'NLRunOnce', (0, ),
'mda._solve_nonlinear', (1, ),
'NonlinearBlockGS', (0,),
'mda.d2._solve_nonlinear', (7, )
]
expected_inputs = None
expected_outputs = {"pz.z": [2.8640616, 0.825643, ], }
expected_residuals = {"pz.z": [0.0, 0.0], }
expected_inputs = {
"mda.d2.z": [5.0, 2.0],
"mda.d2.y1": [25.5883027, ],
}
expected_outputs = {"mda.d2.y2": [12.0584865, ], }
expected_residuals = {"mda.d2.y2": [0.0, ], }
expected_data = (
(coordinate, (t0, t1), expected_inputs, expected_outputs, expected_residuals),
)
assertSystemIterDataRecorded(self, expected_data, self.eps)
def test_record_solver(self):
prob = SellarProblem()
prob.setup()
nl = prob.model.nonlinear_solver
nl.options['use_apply_nonlinear'] = True
nl.recording_options['record_abs_error'] = True
nl.recording_options['record_rel_error'] = True
nl.recording_options['record_solver_residuals'] = True
nl.add_recorder(self.recorder)
t0, t1 = run_driver(prob)
coordinate = [0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ), 'NonlinearBlockGS', (6, )]
expected_abs_error = 1.318802844707e-10
expected_rel_error = 3.62990740e-12
expected_solver_output = {
"con_cmp1.con1": [-22.42830237],
"d1.y1": [25.58830237],
"con_cmp2.con2": [-11.941511849],
"_auto_ivc.v0": [5.0, 2.0],
"obj_cmp.obj": [28.588308165],
"d2.y2": [12.058488150],
"_auto_ivc.v1": [1.0]
}
expected_solver_residuals = {
"con_cmp1.con1": [0.0],
"d1.y1": [-1.318802844707534e-10],
"con_cmp2.con2": [0.0],
"_auto_ivc.v0": [0.0, 0.0],
"obj_cmp.obj": [0.0],
"d2.y2": [0.0],
"_auto_ivc.v1": [0.0]
}
expected_data = ((coordinate, (t0, t1), expected_abs_error, expected_rel_error,
expected_solver_output, expected_solver_residuals),)
assertSolverIterDataRecorded(self, expected_data, self.eps)
#
# run again with a prefix, iter_counts should be reset
#
t0, t1 = run_driver(prob, case_prefix='run_again')
prob.cleanup()
coordinate = [0, 'Driver', (0, ), 'root._solve_nonlinear', (0, ), 'NonlinearBlockGS', (0, )]
expected_abs_error = 2.60769184e-12
expected_rel_error = 0.01977317421405673
expected_solver_residuals = {
"con_cmp1.con1": [0.0],
"d1.y1": [2.60769184e-12],
"con_cmp2.con2": [0.0],
"_auto_ivc.v0": [0.0, 0.0],
"obj_cmp.obj": [0.0],
"d2.y2": [0.0],
"_auto_ivc.v1": [0.0]
}
expected_data = ((coordinate, (t0, t1), expected_abs_error, expected_rel_error,
expected_solver_output, expected_solver_residuals),)
assertSolverIterDataRecorded(self, expected_data, self.eps, prefix='run_again')
def test_record_solver_includes_excludes(self):
prob = om.Problem()
prob.model = SellarMDAConnect()
prob.driver = om.ScipyOptimizeDriver()
prob.driver.options['optimizer'] = 'SLSQP'
prob.driver.options['tol'] = 1e-8
prob.set_solver_print(level=0)
prob.model.add_design_var('indeps.x', lower=0, upper=10)
prob.model.add_design_var('indeps.z', lower=0, upper=10)
prob.model.add_objective('obj_cmp.obj')
prob.model.add_constraint('con_cmp1.con1', upper=0)
prob.model.add_constraint('con_cmp2.con2', upper=0)
prob.setup()
nl = prob.model._get_subsystem('cycle').nonlinear_solver
nl.add_recorder(self.recorder)
prob['indeps.x'] = 2.
prob['indeps.z'] = [-1., -1.]
prob.run_driver()
cr = om.CaseReader(self.filename)
solver_cases = cr.list_cases('root.cycle.nonlinear_solver')
# Test values from cases
last_case = cr.get_case(solver_cases[-1])
self.assertEqual(sorted(last_case.inputs.keys()), ['d1.x', 'd1.y2'])
self.assertEqual(sorted(last_case.outputs.keys()), ['d1.y1'])
rec = om.SqliteRecorder(os.path.join(self.tempdir, "gleep.sql"), record_viewer_data=False)
nl.add_recorder(rec)
nl.recording_options['includes'] = ['*']
nl.recording_options['excludes'] = []
prob.setup()
# Make sure default includes and excludes still works
prob = om.Problem()
prob.model = SellarMDAConnect()
prob.driver = om.ScipyOptimizeDriver()
prob.driver.options['optimizer'] = 'SLSQP'
prob.driver.options['tol'] = 1e-8
prob.set_solver_print(level=0)
prob.model.add_design_var('indeps.x', lower=0, upper=10)
prob.model.add_design_var('indeps.z', lower=0, upper=10)
prob.model.add_objective('obj_cmp.obj')
prob.model.add_constraint('con_cmp1.con1', upper=0)
prob.model.add_constraint('con_cmp2.con2', upper=0)
prob.setup()
nl = prob.model._get_subsystem('cycle').nonlinear_solver
# Default includes and excludes
nl.recording_options['includes'] = ['*']
nl.recording_options['excludes'] = []
filename = "sqlite2"
recorder = om.SqliteRecorder(filename, record_viewer_data=False)
nl.add_recorder(recorder)
prob['indeps.x'] = 2.
prob['indeps.z'] = [-1., -1.]
prob.run_driver()
cr = om.CaseReader(filename)
solver_cases = cr.list_cases('root.cycle.nonlinear_solver')
# Test values from cases
last_case = cr.get_case(solver_cases[-1])
self.assertEqual(sorted(last_case.inputs.keys()),
['d1.x', 'd1.y2', 'd1.z', 'd2.y1', 'd2.z'])
self.assertEqual(sorted(last_case.outputs.keys()), ['d1.y1', 'd2.y2'])
def test_record_line_search_armijo_goldstein(self):
prob = om.Problem()
prob.model.add_subsystem('px', om.IndepVarComp('x', 1.0))
prob.model.add_subsystem('comp', ImplCompTwoStates())
prob.model.connect('px.x', 'comp.x')
prob.model.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)
prob.model.nonlinear_solver.options['maxiter'] = 10
prob.model.linear_solver = om.ScipyKrylov()
ls = prob.model.nonlinear_solver.linesearch = om.ArmijoGoldsteinLS(bound_enforcement='vector')
ls.add_recorder(self.recorder)
ls.options['c'] = .1
prob.setup()
prob['px.x'] = 2.0
prob['comp.y'] = 0.
prob['comp.z'] = 1.6
t0, t1 = run_driver(prob)
prob.cleanup()
coordinate = [
0,
'Driver', (0,),
'root._solve_nonlinear', (0,),
'NewtonSolver', (2,),
'ArmijoGoldsteinLS', (2,)
]
expected_abs_error = 3.2882366094914777
expected_rel_error = 0.9999999999999998
expected_solver_output = {
"comp.z": [1.5],
"comp.y": [1.75],
"px.x": [2.0],
}
expected_solver_residuals = None
expected_data = ((coordinate, (t0, t1), expected_abs_error, expected_rel_error,
expected_solver_output, expected_solver_residuals),)