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Local transfer with out of bounds src_index
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import openmdao.api as om | |
import mpi4py.MPI as MPI | |
SRC_INDICES = 1 | |
class TestComp(om.ExplicitComponent): | |
def initialize(self): | |
self.options['distributed'] = False | |
def setup(self): | |
# src_indices = 1 will not raise an error, but reads a value of 1.0 on every proc | |
self.add_input('x', shape=1, src_indices=SRC_INDICES, val=-2038.0) | |
self.add_output('y', shape=1) | |
self.declare_partials('y', 'x') | |
def compute(self, inputs, outputs): | |
outputs['y'] = inputs['x'] ** 2 | |
def compute_partials(self, inputs, J): | |
J['y', 'x'] = 2 * inputs[x] | |
prob = om.Problem() | |
model = prob.model | |
# nobody should ever do this but... | |
if MPI.COMM_WORLD.rank == 0: | |
setval = 2.0 | |
else: | |
setval = -3.0 | |
# no parallel or distributed comps, so default_vector is used (local xfer only) | |
model.add_subsystem('p1', om.IndepVarComp('x', setval)) | |
model.add_subsystem('c3', TestComp()) | |
model.connect("p1.x", "c3.x") | |
prob.setup(check=False, mode='fwd') | |
prob.run_model() | |
print('rank: ' + str(MPI.COMM_WORLD.rank) + ' val: ' + str(prob['c3.y']) + ' value on proc is: ' + str(setval ** 2)) | |
# list_outputs only shows the value on the first proc (0th) | |
prob.model.list_outputs() |
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