def test_feature_rev(self):
import time
import numpy as np
import openmdao.api as om
from openmdao.core.tests.test_parallel_derivatives import PartialDependGroup
size = 4
of = ['ParallelGroup1.Con1.y', 'ParallelGroup1.Con2.y']
wrt = ['Comp1.x']
p = om.Problem(model=PartialDependGroup())
p.setup(mode='rev')
p.run_model()
J = p.compute_totals(of, wrt, return_format='dict')
assert_near_equal(J['ParallelGroup1.Con1.y']['Comp1.x'][0], np.ones(size)*2., 1e-6)
assert_near_equal(J['ParallelGroup1.Con2.y']['Comp1.x'][0], np.ones(size)*-3., 1e-6)
def test_feature_rev(self):
import time
import numpy as np
from openmdao.api import Problem
from openmdao.core.tests.test_parallel_derivatives import PartialDependGroup
size = 4
of = ['ParallelGroup1.Con1.y', 'ParallelGroup1.Con2.y']
wrt = ['Indep1.x']
# run first in fwd mode
p = Problem(model=PartialDependGroup())
p.setup(mode='rev')
p.run_model()
J = p.compute_totals(of, wrt, return_format='dict')
assert_rel_error(self, J['ParallelGroup1.Con1.y']['Indep1.x'][0], np.ones(size)*2., 1e-6)
assert_rel_error(self, J['ParallelGroup1.Con2.y']['Indep1.x'][0], np.ones(size)*-3., 1e-6)
def test_fwd_vs_rev(self):
import time
import numpy as np
import openmdao.api as om
from openmdao.core.tests.test_parallel_derivatives import PartialDependGroup
size = 4
of = ['ParallelGroup1.Con1.y', 'ParallelGroup1.Con2.y']
wrt = ['Comp1.x']
# run in rev mode
p = om.Problem(model=PartialDependGroup())
p.setup(mode='rev')
p.run_model()
elapsed_rev = time.time()
Jrev = p.compute_totals(of, wrt, return_format='dict')
elapsed_rev = time.time() - elapsed_rev
# run in fwd mode and compare times for deriv calculation
p.setup(mode='fwd')
p.run_model()
elapsed_fwd = time.time()
Jfwd = p.compute_totals(of, wrt, return_format='dict')
elapsed_fwd = time.time() - elapsed_fwd
assert_near_equal(Jfwd['ParallelGroup1.Con1.y']['Comp1.x'][0], np.ones(size)*2., 1e-6)
assert_near_equal(Jfwd['ParallelGroup1.Con2.y']['Comp1.x'][0], np.ones(size)*-3., 1e-6)
assert_near_equal(Jrev['ParallelGroup1.Con1.y']['Comp1.x'][0], np.ones(size)*2., 1e-6)
assert_near_equal(Jrev['ParallelGroup1.Con2.y']['Comp1.x'][0], np.ones(size)*-3., 1e-6)
# make sure that rev mode is faster than fwd mode
self.assertGreater(elapsed_fwd / elapsed_rev, 1.0)
