I'm using Ray library and then I want to Cythonize my package. While there is a reference of how to adapt regular remote function
some_cython_func = ray.remote(some_cython_module.some_cython_func)
it's not clear how to deal with Ray Actor (decorator on a class level)
@ray.remote
class MyService:
def __init__(self):
pass
def run(self):
...
def helper(self):
...
After being cythonized this code produces such an error
File "/Users/user/anaconda3/envs/ray-test/lib/python3.7/site-packages/ray/actor.py", line 538, in _remote
meta.method_meta.methods.keys())
File "/Users/user/anaconda3/envs/ray-test/lib/python3.7/site-packages/ray/function_manager.py", line 358, in export_actor_class
"class": pickle.dumps(Class),
File "/Users/user/anaconda3/envs/ray-test/lib/python3.7/site-packages/ray/cloudpickle/cloudpickle_fast.py", line 70, in dumps
cp.dump(obj)
File "/Users/user/anaconda3/envs/ray-test/lib/python3.7/site-packages/ray/cloudpickle/cloudpickle_fast.py", line 656, in dump
return Pickler.dump(self, obj)
_pickle.PicklingError: Can't pickle <cyfunction MyService.__init__ at 0x7fc230367c80>: it's not the same object as app.my_service.__init__
How to rewrite/adapt existing working ray code to work with Cython?
Python 3.7.9 / ray==0.8.6
Yes, seems like a simple solution as
MyService = ray.remote(_MyService)
works without issue.