以下简单的平方函数多重处理效果很好:
from multiprocessing import Pool
class A(object):
def square(self, x):
return x * x
def test(self):
pool = Pool()
result = pool.map(self.square, range(5))
return result
但是当我像这样在类中添加 Gurobi 模型的初始化时,
from multiprocessing import Pool
from gurobipy import *
class A(object):
def __init__(self):
self.b = Model()
def square(self, x):
return x * x
def test(self):
pool = Pool()
result = pool.map(self.square, range(5))
return result
A().test()
它返回以下错误:
File "model.pxi", line 290, in gurobipy.Model.__getattr__ (../../src/python/gurobipy.c:53411)
KeyError: '__getstate__'
Gurobi 的串行版本工作正常:
from gurobipy import *
class A(object):
def __init__(self):
self.b = Model()
def square(self, x):
return x * x
def test(self):
res = [self.square(i) for i in range(5)]
return res
A().test()
最佳答案
Gurobi API 不支持跨多个进程或线程共享单个 Gurobi 环境。如果要在多个进程或线程中解决多个模块,则必须在每个进程或线程中显式创建多个Gurobi环境。
关于python - Gurobi 的多处理兼容性问题,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50571191/