Python DEAP和Windows上的多处理:AttributeError
我有以下情况:Python DEAP和Windows上的多处理:AttributeError,python,python-3.x,windows,multiprocessing,deap,Python,Python 3.x,Windows,Multiprocessing,Deap,我有以下情况: 视窗10 Python 3.7 deap 1.3.1 有一个main.py与 def main(): ... schedule.schedule() ... if __name__== "__main__": main() 然后,我还有一个文件schedule.py def schedule() ... toolbox = base.Toolbox() creator.create("FitnessMin", bas
- 视窗10
- Python 3.7
- deap 1.3.1
def main():
...
schedule.schedule()
...
if __name__== "__main__":
main()
然后,我还有一个文件schedule.py
def schedule()
...
toolbox = base.Toolbox()
creator.create("FitnessMin", base.Fitness, weights=(-1.0,))
creator.create("Individual", list, fitness=creator.FitnessMin)
toolbox.register('individual', init_indiv, creator.Individual, bounds=bounds)
toolbox.register("population", tools.initRepeat, list, toolbox.individual)
toolbox.register("evaluate", fitness, data=args)
toolbox.register("mate", tools.cxTwoPoint)
toolbox.register("mutate", tools.mutFlipBit, indpb=0.05)
toolbox.register("select", tools.selTournament, tournsize=3)
# Further parameters
cxpb = 0.7
mutpb = 0.2
# Measure how long it takes to caluclate 1 generation
MAX_HOURS_GA = parameter._MAX_HOURS_GA
POPSIZE_GA = parameter._POPSIZE_GA
pool = multiprocessing.Pool(processes=4)
toolbox.register("map", pool.map)
pop = toolbox.population(n=POPSIZE_GA * len(bounds))
result = algorithms.eaSimple(pop, toolbox, cxpb, mutpb, 1, verbose=False)
现在,执行此操作会产生以下错误:
Process SpawnPoolWorker-1:
Traceback (most recent call last):
File "C:\Users\...\lib\multiprocessing\process.py", line 297, in _bootstrap
self.run()
File "C:\Users\...\lib\multiprocessing\process.py", line 99, in run
self._target(*self._args, **self._kwargs)
File "C:\Users\...\lib\multiprocessing\pool.py", line 110, in worker
task = get()
File "C:\Users\...\lib\multiprocessing\queues.py", line 354, in get
return _ForkingPickler.loads(res)
AttributeError: Can't get attribute 'Individual' on <module 'deap.creator' from 'C:\\Users...
对大多数人没有帮助
似乎还有其他人有类似的问题,即使是最近()。对他们中的大多数人来说,似乎存在某种变通方法,但似乎没有一种适合我的情况,或者至少我不知道如何让它们发挥作用。
我也尝试过注册函数和初始化池的顺序,但没有成功。我也尝试过用勺子代替,但效果相似
有什么想法吗 解决方案是在全局范围内创建“FitnessMin”和“Individual”,即在main.py中:
import ...
creator.create("FitnessMin", base.Fitness, weights=(-1.0,))
creator.create("Individual", list, fitness=creator.FitnessMin)
def main():
...
schedule.schedule()
...
if __name__== "__main__":
main()
import ...
creator.create("FitnessMin", base.Fitness, weights=(-1.0,))
creator.create("Individual", list, fitness=creator.FitnessMin)
def main():
...
schedule.schedule()
...
if __name__== "__main__":
main()