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test_pre_post_iter.py
679 lines (497 loc) · 27.9 KB
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test_pre_post_iter.py
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import unittest
import numpy as np
import openmdao.api as om
from openmdao.utils.assert_utils import assert_check_totals, assert_near_equal
from openmdao.test_suite.components.exec_comp_for_test import ExecComp4Test
from openmdao.test_suite.components.sellar import SellarDis1withDerivatives, SellarDis2withDerivatives
from openmdao.utils.testing_utils import use_tempdirs
from openmdao.utils.mpi import MPI
try:
from openmdao.parallel_api import PETScVector
except ImportError:
PETScVector = None
class MissingPartialsComp(om.ExplicitComponent):
def setup(self):
self.add_input('a', 1.0)
self.add_input('b', 1.0)
self.add_output('y', 1.0)
self.add_output('z', 1.0)
self.declare_partials(of=['y'], wrt=['a'])
self.declare_partials(of=['z'], wrt=['b'])
def compute(self, inputs, outputs):
outputs['y'] = 2.0 * inputs['a']
outputs['z'] = 3.0 * inputs['b']
def compute_partials(self, inputs, partials, discrete_inputs=None):
partials['y', 'a'] = 2.0
partials['z', 'b'] = 3.0
def setup_problem(do_pre_post_opt, mode, use_ivc=False, coloring=False, size=3, group=False,
force=(), approx=False, force_complex=False, recording=False, parallel=False):
prob = om.Problem()
prob.options['group_by_pre_opt_post'] = do_pre_post_opt
prob.driver = om.ScipyOptimizeDriver(optimizer='SLSQP', disp=False)
prob.set_solver_print(level=0)
model = prob.model
if approx:
model.approx_totals()
if use_ivc:
model.add_subsystem('ivc', om.IndepVarComp('x', np.ones(size)))
if parallel:
par = model.add_subsystem('par', om.ParallelGroup(), promotes=['*'])
par.nonlinear_solver = om.NonlinearBlockJac()
parent = par
else:
parent = model
if group:
G1 = parent.add_subsystem('G1', om.Group(), promotes=['*'])
G2 = parent.add_subsystem('G2', om.Group(), promotes=['*'])
if parallel:
G2.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)
G2.linear_solver = om.DirectSolver(assemble_jac=True)
# this guy wouldn't be included in the iteration loop were it not under Newton
G1.add_subsystem('sub_post_comp', ExecComp4Test('y=.5*x', x=np.ones(size), y=np.zeros(size)))
else:
G1 = parent
G2 = parent
comps = {
'pre1': G1.add_subsystem('pre1', ExecComp4Test('y=2.*x', x=np.ones(size), y=np.zeros(size))),
'pre2': G1.add_subsystem('pre2', ExecComp4Test('y=3.*x - 7.*xx', x=np.ones(size), xx=np.ones(size), y=np.zeros(size))),
'iter1': G1.add_subsystem('iter1', ExecComp4Test('y=x1 + x2*4. + x3',
x1=np.ones(size), x2=np.ones(size),
x3=np.ones(size), y=np.zeros(size))),
'iter2': G1.add_subsystem('iter2', ExecComp4Test('y=.5*x', x=np.ones(size), y=np.zeros(size))),
'iter4': G2.add_subsystem('iter4', ExecComp4Test('y=7.*x', x=np.ones(size), y=np.zeros(size))),
'iter3': G2.add_subsystem('iter3', ExecComp4Test('y=6.*x', x=np.ones(size), y=np.zeros(size))),
'post1': G2.add_subsystem('post1', ExecComp4Test('y=8.*x', x=np.ones(size), y=np.zeros(size))),
'post2': G2.add_subsystem('post2', ExecComp4Test('y=x1*9. + x2*5. + x3*3.', x1=np.ones(size),
x2=np.ones(size), x3=np.zeros(size),
y=np.zeros(size))),
}
for name in force:
if name in comps:
comps[name].options['always_opt'] = True
else:
raise RuntimeError(f'"{name}" not in comps')
if use_ivc:
model.connect('ivc.x', 'iter1.x3')
model.connect('pre1.y', ['iter1.x1', 'post2.x1', 'pre2.xx'])
model.connect('pre2.y', 'iter1.x2')
model.connect('iter1.y', ['iter2.x', 'iter4.x'])
model.connect('iter2.y', 'post2.x2')
model.connect('iter3.y', 'post1.x')
model.connect('iter4.y', 'iter3.x')
model.connect('post1.y', 'post2.x3')
prob.model.add_design_var('iter1.x3', lower=-10, upper=10)
prob.model.add_constraint('iter2.y', upper=10.)
prob.model.add_objective('iter3.y', index=0)
if coloring:
prob.driver.declare_coloring()
if recording:
model.recording_options['record_inputs'] = True
model.recording_options['record_outputs'] = True
model.recording_options['record_residuals'] = True
recorder = om.SqliteRecorder("sqlite_test_pre_post", record_viewer_data=False)
model.add_recorder(recorder)
prob.driver.add_recorder(recorder)
for comp in comps.values():
comp.add_recorder(recorder)
prob.setup(mode=mode, force_alloc_complex=force_complex)
# we don't want ExecComps to be colored because it makes the iter counting more complicated.
for comp in model.system_iter(recurse=True, typ=ExecComp4Test):
comp.options['do_coloring'] = False
comp.options['has_diag_partials'] = True
return prob
@use_tempdirs
class TestPrePostIter(unittest.TestCase):
def test_pre_post_iter_rev(self):
prob = setup_problem(do_pre_post_opt=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_grouped(self):
prob = setup_problem(do_pre_post_opt=True, group=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_coloring(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_coloring_grouped(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, group=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_ivc(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_ivc_grouped(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, group=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_rev_ivc_coloring(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, coloring=True, mode='rev')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd(self):
prob = setup_problem(do_pre_post_opt=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_grouped(self):
prob = setup_problem(do_pre_post_opt=True, group=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_coloring(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_coloring_grouped(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, group=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_coloring_grouped_force_post(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, group=True,
force=['post2'], mode='fwd')
prob.run_driver()
self.assertEqual(prob.model._pre_components, ['G1.pre1', 'G1.pre2'])
self.assertEqual(prob.model._post_components, [])
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 3)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_coloring_grouped_force_pre(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, group=True,
force=['pre1'], mode='fwd')
prob.run_driver()
self.assertEqual(prob.model._pre_components, [])
self.assertEqual(prob.model._post_components, ['G2.post1', 'G2.post2'])
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_ivc(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_fwd_ivc_coloring(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, coloring=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 3)
self.assertEqual(prob.model.iter2.num_nl_solves, 3)
self.assertEqual(prob.model.iter3.num_nl_solves, 3)
self.assertEqual(prob.model.iter4.num_nl_solves, 3)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_approx(self):
prob = setup_problem(do_pre_post_opt=True, mode='fwd', approx=True, force_complex=True)
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 9)
self.assertEqual(prob.model.iter2.num_nl_solves, 9)
self.assertEqual(prob.model.iter3.num_nl_solves, 9)
self.assertEqual(prob.model.iter4.num_nl_solves, 9)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_approx_grouped(self):
prob = setup_problem(do_pre_post_opt=True, group=True, approx=True, force_complex=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.G1.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.G1.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.G1.iter1.num_nl_solves, 9)
self.assertEqual(prob.model.G1.iter2.num_nl_solves, 9)
self.assertEqual(prob.model.G2.iter3.num_nl_solves, 9)
self.assertEqual(prob.model.G2.iter4.num_nl_solves, 9)
self.assertEqual(prob.model.G2.post1.num_nl_solves, 1)
self.assertEqual(prob.model.G2.post2.num_nl_solves, 1)
data = prob.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_approx_coloring(self):
prob = setup_problem(do_pre_post_opt=True, coloring=True, approx=True, force_complex=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 16)
self.assertEqual(prob.model.iter2.num_nl_solves, 16)
self.assertEqual(prob.model.iter3.num_nl_solves, 16)
self.assertEqual(prob.model.iter4.num_nl_solves, 16)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_approx_ivc(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, approx=True, force_complex=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 9)
self.assertEqual(prob.model.iter2.num_nl_solves, 9)
self.assertEqual(prob.model.iter3.num_nl_solves, 9)
self.assertEqual(prob.model.iter4.num_nl_solves, 9)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_pre_post_iter_approx_ivc_coloring(self):
prob = setup_problem(do_pre_post_opt=True, use_ivc=True, coloring=True, approx=True, force_complex=True, mode='fwd')
prob.run_driver()
self.assertEqual(prob.model.pre1.num_nl_solves, 1)
self.assertEqual(prob.model.pre2.num_nl_solves, 1)
self.assertEqual(prob.model.iter1.num_nl_solves, 16)
self.assertEqual(prob.model.iter2.num_nl_solves, 16)
self.assertEqual(prob.model.iter3.num_nl_solves, 16)
self.assertEqual(prob.model.iter4.num_nl_solves, 16)
self.assertEqual(prob.model.post1.num_nl_solves, 1)
self.assertEqual(prob.model.post2.num_nl_solves, 1)
data = prob.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_newton_with_densejac_under_full_model_fd(self):
for dosplit in (True, False):
with self.subTest(dosplit):
prob = om.Problem(group_by_pre_opt_post=dosplit)
prob.driver = om.ScipyOptimizeDriver(optimizer='SLSQP', disp=False)
prob.set_solver_print(level=0)
model = prob.model = om.Group(assembled_jac_type='dense')
model.add_subsystem('px', om.IndepVarComp('x', 1.0))
model.add_subsystem('pz', om.IndepVarComp('z', np.array([5.0, 2.0])), promotes=['z'])
model.add_subsystem('pre_comp', om.ExecComp('out = x + 5.'))
model.connect('px.x', 'pre_comp.x')
model.connect('pre_comp.out', 'x')
sub = model.add_subsystem('sub', om.Group(), promotes=['*'])
sub.add_subsystem('d1', SellarDis1withDerivatives(), promotes=['x', 'z', 'y1', 'y2'])
sub.add_subsystem('d2', SellarDis2withDerivatives(), promotes=['z', 'y1', 'y2'])
sub.add_subsystem('post_comp', om.ExecComp('out = y1 + y2'), promotes=['y1', 'y2'])
model.add_subsystem('obj_cmp', om.ExecComp('obj = x**2 + z[1] + y1 + exp(-y2)',
z=np.array([0.0, 0.0]), x=0.0),
promotes=['obj', 'x', 'z', 'y1', 'y2'])
model.add_subsystem('post_cmp1', om.ExecComp('con1 = 3.16 - y1'), promotes=['con1', 'y1'])
model.add_subsystem('post_cmp2', om.ExecComp('con2 = y2 - 24.0'), promotes=['con2', 'y2'])
sub.nonlinear_solver = om.NewtonSolver(solve_subsystems=False)
sub.linear_solver = om.DirectSolver(assemble_jac=True)
model.add_design_var('z')
model.add_objective('obj')
prob.setup()
prob.set_solver_print(level=0)
prob.run_model()
J = prob.compute_totals(return_format='flat_dict')
assert_near_equal(J[('obj_cmp.obj', 'pz.z')], np.array([[9.62568658, 1.78576699]]), .00001)
def test_reading_system_cases_pre_opt_post(self):
prob = setup_problem(do_pre_post_opt=True, mode='fwd', recording=True)
prob.run_driver()
prob.cleanup()
cr = om.CaseReader('sqlite_test_pre_post')
# check that we only have the three system sources
self.assertEqual(sorted(cr.list_sources(out_stream=None)), ['driver', 'root', 'root.iter1', 'root.iter2', 'root.iter3', 'root.iter4', 'root.post1', 'root.post2', 'root.pre1', 'root.pre2'])
# check source vars
source_vars = cr.list_source_vars('root', out_stream=None)
self.assertEqual(sorted(source_vars['inputs']), ['iter1.x1', 'iter1.x2', 'iter1.x3', 'iter2.x', 'iter3.x', 'iter4.x', 'post1.x', 'post2.x1', 'post2.x2', 'post2.x3', 'pre1.x', 'pre2.x', 'pre2.xx'])
self.assertEqual(sorted(source_vars['outputs']), ['iter1.x3', 'iter1.y', 'iter2.y', 'iter3.y', 'iter4.y', 'post1.y', 'post2.y', 'pre1.x', 'pre1.y', 'pre2.x', 'pre2.y'])
# Test to see if we got the correct number of cases
self.assertEqual(len(cr.list_cases('root', recurse=False, out_stream=None)), 5)
self.assertEqual(len(cr.list_cases('root.iter1', recurse=False, out_stream=None)), 3)
self.assertEqual(len(cr.list_cases('root.iter2', recurse=False, out_stream=None)), 3)
self.assertEqual(len(cr.list_cases('root.iter3', recurse=False, out_stream=None)), 3)
self.assertEqual(len(cr.list_cases('root.pre1', recurse=False, out_stream=None)), 1)
self.assertEqual(len(cr.list_cases('root.pre2', recurse=False, out_stream=None)), 1)
self.assertEqual(len(cr.list_cases('root.post1', recurse=False, out_stream=None)), 1)
self.assertEqual(len(cr.list_cases('root.post2', recurse=False, out_stream=None)), 1)
# Test to see if the case keys (iteration coords) come back correctly
for i, iter_coord in enumerate(cr.list_cases('root.pre1', recurse=False, out_stream=None)):
self.assertEqual(iter_coord, f'rank0:root._solve_nonlinear|{i}|NLRunOnce|{i}|pre1._solve_nonlinear|{i}')
for i, iter_coord in enumerate(cr.list_cases('root.iter1', recurse=False, out_stream=None)):
self.assertEqual(iter_coord, f'rank0:ScipyOptimize_SLSQP|{i}|root._solve_nonlinear|{i + 1}|NLRunOnce|0|iter1._solve_nonlinear|{i}')
def test_incomplete_partials(self):
p = om.Problem()
model = p.model
size = 3
p.options['group_by_pre_opt_post'] = True
p.driver = om.ScipyOptimizeDriver(optimizer='SLSQP', disp=False)
p.set_solver_print(level=0)
model.add_subsystem('pre1', ExecComp4Test('y=2.*x', shape=size))
model.add_subsystem('pre2', ExecComp4Test('y=3.*x1 - 7.*x2', shape=size))
model.add_subsystem('ivc', om.IndepVarComp('x', np.ones(size)))
model.add_subsystem('iter1', ExecComp4Test('y=x*3.2', shape=size))
model.add_subsystem('incomplete', ExecComp4Test(['y1=3.*x1', 'y2=5*x2'], shape=size))
model.add_subsystem('obj', ExecComp4Test('obj=.5*x', shape=size))
model.add_subsystem('post1', ExecComp4Test('y=8.*x', shape=size))
model.connect('ivc.x', 'iter1.x')
model.connect('iter1.y', 'incomplete.x2')
model.connect('incomplete.y2', 'obj.x')
model.connect('incomplete.y1', 'post1.x')
model.connect('pre1.y', 'pre2.x2')
model.connect('pre2.y', 'incomplete.x1')
p.model.add_design_var('ivc.x', lower=-10, upper=10)
p.model.add_objective('obj.obj', index=0)
p.setup(mode='fwd', force_alloc_complex=True)
# we don't want ExecComps to be colored because it makes the iter counting more complicated.
for comp in model.system_iter(recurse=True, typ=ExecComp4Test):
comp.options['do_coloring'] = False
comp.options['has_diag_partials'] = True
p.run_driver()
self.assertEqual(p.model.pre1.num_nl_solves, 1)
self.assertEqual(p.model.pre2.num_nl_solves, 1)
self.assertEqual(p.model.incomplete.num_nl_solves, 4)
self.assertEqual(p.model.iter1.num_nl_solves, 4)
self.assertEqual(p.model.obj.num_nl_solves, 4)
self.assertEqual(p.model.post1.num_nl_solves, 1)
data = p.check_totals(method='cs', out_stream=None)
assert_check_totals(data)
def test_comp_multiple_iter_lists(self):
# Groups can be in multiple iteration lists, but not components.
p = om.Problem()
model = p.model
G1 = model.add_subsystem('G1', om.Group(), promotes=['*'])
G2 = model.add_subsystem('G2', om.Group(), promotes=['*'])
G3 = model.add_subsystem('G3', om.Group(), promotes=['*'])
C1 = G1.add_subsystem('C1', MissingPartialsComp())
C2 = G1.add_subsystem('C2', MissingPartialsComp())
C3 = G1.add_subsystem('C3', MissingPartialsComp())
C4 = G2.add_subsystem('C4', MissingPartialsComp())
C5 = G3.add_subsystem('C5', MissingPartialsComp())
model.connect('C1.y', 'C2.a')
model.connect('C1.z', 'C4.a')
model.connect('C2.y', 'C3.a')
model.connect('C3.z', 'C4.b')
model.connect('C4.y', 'C5.a')
model.add_design_var('C3.b')
model.add_objective('C4.z')
p.driver = om.ScipyOptimizeDriver()
p.options["group_by_pre_opt_post"] = True
p.setup()
p.final_setup()
self.assertEqual(C1._run_on_opt, [True, False, False])
self.assertEqual(C2._run_on_opt, [True, False, False])
self.assertEqual(C3._run_on_opt, [False, True, False])
self.assertEqual(C4._run_on_opt, [False, True, False])
self.assertEqual(C5._run_on_opt, [False, False, True])
@unittest.skipUnless(MPI and PETScVector, "MPI and PETSc are required.")
class PrePostMPITestCase(unittest.TestCase):
N_PROCS = 2
def test_newton_on_one_rank(self):
prob = setup_problem(do_pre_post_opt=True, mode='fwd', parallel=True, group=True)
prob.run_driver()
if __name__ == "__main__":
unittest.main()