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python多进程调用DLL报错
问题总结:在使用多进程时,调用DLL函数报错ValueError: ctypes objects containing pointers cannot be pickled,因为ctypes指针无法被pickle模块序列化。
解决方案:由于ctypes指针无法被pickle模块序列化,因此不能使用多进程方式调用DLL函数。可以使用以下方法来解决问题:
- 使用fork方式rather than spawning new processes. This allows the child process to inherit the parent process's memory, including the DLL handles.
import multiprocessing
from multiprocessing import Process
class Foo:
def __init__(self):
# Load the DLL here
self.dll = self.load_dll()
def load_dll(self):
# Load the DLL using ctypes
return ctypes.CDLL('path/to/dll.so')
def run(self):
# Call the DLL function
self.dll.my_function()
if __name__ == '__main__':
foo = Foo()
parent_process = multiprocessing.current_process()
child_process = Process(target=foo.run)
child_process.start()
print("Parent process:", parent_process)
print("Child process:", child_process)
child_process.join()
- 使用共享内存来共享DLL handle。可以使用
multiprocessing.Manager来创建共享内存,并在多进程下共享DLL handle。
import multiprocessing
class Foo:
def __init__(self, dll):
# Load the DLL here
self.dll = dll
def run(self):
# Call the DLL function
self.dll.my_function()
if __name__ == '__main__':
manager = multiprocessing.Manager()
dll = manager.Value('c', ctypes.CDLL('path/to/dll.so'))
foo = Foo(dll)
parent_process = multiprocessing.current_process()
child_process = Process(target=foo.run)
child_process.start()
print("Parent process:", parent_process)
print("Child process:", child_process)
child_process.join()
- 使用ipc通信来共享DLL handle。可以使用
multiprocessing.Pipe来创建IPC通信管道,并在多进程下共享DLL handle。
import multiprocessing
class Foo:
def __init__(self, dll):
# Load the DLL here
self.dll = dll
def run(self):
# Call the DLL function
self.dll.my_function()
if __name__ == '__main__':
parent_process = multiprocessing.current_process()
child_process = Process(target=foo.run)
manager = multiprocessing.Manager()
pipe = multiprocessing.Pipe()
manager.connect(pipe)
dll = manager.Value('c', ctypes.CDLL('path/to/dll.so'))
foo = Foo(dll)
child_process.start()
print("Parent process:", parent_process)
print("Child process:", child_process)
child_process.join()
以上三个方法都可以解决问题,但是可能存在其他的限制和限制。