Question

如果我只是复制粘贴代码，那么在this link中记录/访问导数的示例案例对我来说效果很好。我试图弄清楚为什么类似的方法不能解决我自己的问题。我将录制选项设置为相同。我试图列出一些差异，但不确定它们是否可能是造成这种情况的原因：

我有一个额外的maxiter选项，因此优化程序在3次迭代后“失败”。
我可以访问所有其他记录的变量（目标，约束，列表输出）
尽管前面提到的链接中的示例代码也是如此，但我无法访问list_inputs。
我也添加了N2，以为将单个组件包裹/“塞入”一组可能是原因。然后我改变了卖方问题的结构，我仍然可以访问卖方问题中的派生类，但不能访问我的。

我不确定我还能提供什么更多见解。我可能缺少明显的东西。任何想法？

这是我的问题和示例问题的N ^ 2图。

这是代码段。

prob = Problem()
probname = prob.model = Group()
recordername='recorder.sql'
GLOBAL_DESIGN_VAR = IndepVarComp()
#"The design variables Indepvar - Promotes none of the variables"
probname.add_subsystem('GLOBAL_DESIGN_VAR', GLOBAL_DESIGN_VAR)

listofloadcases=[inp.fatiguename]
AERO_GroupName='AERO%s' %''.join(listofloadcases)
probname.add_subsystem(AERO_GroupName, AERO(loadcase=listofloadcases))       

for key,val in infodict['sysdes']['desvar'].items():
    GLOBAL_DESIGN_VAR.add_output(key, val['init'])   
    probname.add_design_var('GLOBAL_DESIGN_VAR.{}'.format(key),lower=val['min'], upper=val['max'])     
    probname.connect('GLOBAL_DESIGN_VAR.{}'.format(key), '{}.{}'.format(AERO_GroupName,key))
probname.add_objective('{}.cumPSDerror'.format(AERO_GroupName))
probname.add_constraint('{}.cumDELerror'.format(AERO_GroupName),upper=0.1)

prob.driver=ScipyOptimizeDriver()
prob.driver.options['optimizer'] = 'SLSQP'
prob.driver.options['disp'] = True
prob.driver.options['tol'] = 1e-9

recorder = SqliteRecorder(recordername)
prob.driver.add_recorder(recorder)
prob.driver.recording_options['includes'] = []
prob.driver.recording_options['record_inputs'] = True
#        prob.driver.recording_options['record_outputs'] = True
prob.driver.recording_options['record_objectives'] = True
prob.driver.recording_options['record_constraints'] = True
prob.driver.recording_options['record_desvars'] = True
prob.driver.recording_options['record_derivatives'] = True

prob.setup(check=True)

prob.run_driver()

prob.cleanup()

cr = CaseReader('recorder.sql')

# Get derivatives associated with the last iteration.
derivs = cr.get_case(0).jacobian

# check that derivatives have been recorded.
print(set(derivs.keys()))

这是我运行此程序时得到的

case = cr.get_case(-1)
print(case)
print(case.jacobian.keys())

所以print（case）有效，但是jacobian为空

driver rank0:SLSQP|20 {'GLOBAL_DESIGN_VAR.d2100': array([1.29472574]), 'GLOBAL_DESIGN_VAR.Factor_c': array([1.29491178]), 'GLOBAL_DESIGN_VAR.lus': array([1.28847898]), 
'GLOBAL_DESIGN_VAR.ng': array([1.29981202]), 'GLOBAL_DESIGN_VAR.bl': array([1.2948257]), 'GLOBAL_DESIGN_VAR.d1700': array([1.29472449]),
 'GLOBAL_DESIGN_VAR.sFactor_c': array([1.29981202]), 'GoldflexFLS12.error': array([3.04801276]), 'GoldflexFLS12.Lerror': array([0.73301603])}

 Traceback (most recent call last):

  File "<ipython-input-6-9a0bfa8ec35f>", line 5, in <module>
    print(case.jacobian.keys())

AttributeError: 'NoneType' object has no attribute 'keys'

可以运行的新代码；

from openmdao.api import Problem, ScipyOptimizeDriver, ExecComp, IndepVarComp, SqliteRecorder, CaseReader
from openmdao.api import Group
from openmdao.api import ExplicitComponent

class Exp(ExplicitComponent):    

    def setup(self):          
        self.add_input('des1',val=1)  
        self.add_input('des2',val=1)  
        self.add_output('out',val=1)                                          
        self.add_output('con',val=1)                                          
        self.declare_partials('*', '*',method='fd',step=0.001)

    def compute(self, inputs, outputs):
        outputs['out']=inputs['des1']**2+inputs['des2']
        outputs['con']=inputs['des1']

class AERO(Group):
    def setup(self):        
        self.add_subsystem('Exp',Exp(),promotes=['*'])


infodict={'desvar':{'des1':{"fdstep": 0.1,"init": 1.0,"max": 1.3,"min": 0.8},'des2':{"fdstep": 0.1,"init": 2.0,"max": 1.3,"min": 0.8}}}

prob = Problem()
probname = prob.model = Group()
recordername='recorder.sql'
GLOBAL_DESIGN_VAR = IndepVarComp()
probname.add_subsystem('GLOBAL_DESIGN_VAR', GLOBAL_DESIGN_VAR,promotes=['*'])
probname.add_subsystem('AERO', AERO(),promotes=['*']) 
for key,val in infodict['desvar'].items():
    GLOBAL_DESIGN_VAR.add_output(key, val['init'])   
    probname.add_design_var(key,lower=val['min'], upper=val['max'])     
probname.add_objective('out')
probname.add_constraint('con',upper=0.1)

prob.driver=ScipyOptimizeDriver()
prob.driver.options['optimizer'] = 'SLSQP'
prob.driver.options['disp'] = True
prob.driver.options['tol'] = 1e-9

recorder = SqliteRecorder(recordername)
prob.driver.add_recorder(recorder)
prob.driver.recording_options['includes'] = []
prob.driver.recording_options['record_inputs'] = True
#        prob.driver.recording_options['record_outputs'] = True
prob.driver.recording_options['record_objectives'] = True
prob.driver.recording_options['record_constraints'] = True
prob.driver.recording_options['record_desvars'] = True
prob.driver.recording_options['record_derivatives'] = True

prob.setup(check=True)

prob.run_driver()

prob.cleanup()

cr = CaseReader(recordername)

# Get derivatives associated with the last iteration.
derivs = cr.get_case(0).jacobian

# check that derivatives have been recorded.
print(set(derivs.keys()))

Answer 1

假设您正在使用默认驱动程序（RunOnceDriver）并调用run_driver（），则看不到任何派生的原因是默认驱动程序从不要求它们，因此也就不会对其进行计算。

因此，您需要选择一个基于梯度的驱动程序，然后还需要确保设置

prob.driver.recording_options['record_derivatives'] = True

这是一个最小的工作示例：

from openmdao.api import Problem, ScipyOptimizeDriver, ExecComp, IndepVarComp, SqliteRecorder, CaseReader

# build the model 
prob = Problem() 
indeps = prob.model.add_subsystem('indeps', IndepVarComp()) 
indeps.add_output('x', 3.0) 
indeps.add_output('y', -4.0) 

prob.model.add_subsystem('paraboloid', ExecComp('f = (x-3)**2 + x*y + (y+4)**2 - 3')) 

prob.model.connect('indeps.x', 'paraboloid.x') 
prob.model.connect('indeps.y', 'paraboloid.y') 

prob.driver = ScipyOptimizeDriver() 
prob.driver.options['optimizer'] = 'SLSQP' 

recorder = SqliteRecorder("cases.sql")
prob.driver.add_recorder(recorder)
prob.driver.recording_options['record_derivatives'] = True


prob.model.add_design_var('indeps.x', lower=-50, upper=50) 
prob.model.add_design_var('indeps.y', lower=-50, upper=50) 
prob.model.add_objective('paraboloid.f') 

prob.setup() 
prob.run_driver() 


# minimum value 
print(prob['paraboloid.f']) 
# location of the minimum 
print(prob['indeps.x']) 
print(prob['indeps.y'])

prob.cleanup()

cr = CaseReader("cases.sql")

# driver_cases = cr.list_cases('driver')

# Get derivatives associated with the last iteration.
case = cr.get_case(-1)
print(case)

# check that derivatives have been recorded.
print(case.jacobian.keys())

我无法记录/访问衍生产品

1 个答案: