Issue with running learn2learn-master\examples\rl\maml_trpo.py

[Gyn0802]

D:\Anaconda\python.exe D:\py\learn2learn-master\examples\rl\maml_trpo.py D:\Anaconda\lib\site-packages\gym\spaces\box.py:73: UserWarning: WARN: Box bound precision lowered by casting to float32 logger.warn( Traceback (most recent call last): File "D:\Anaconda\lib\site-packages\cherry\wrappers\base_wrapper.py", line 82, in getattr Traceback (most recent call last): File "D:\Anaconda\lib\multiprocessing\connection.py", line 312, in _recv_bytes return getattr(self.env, attr) File "D:\Anaconda\lib\site-packages\cherry\wrappers\base_wrapper.py", line 82, in getattr return getattr(self.env, attr) File "D:\Anaconda\lib\site-packages\cherry\wrappers\base_wrapper.py", line 82, in getattr nread, err = ov.GetOverlappedResult(True) return getattr(self.env, attr) BrokenPipeError [Previous line repeated 996 more times] File "D:\Anaconda\lib\site-packages\cherry\wrappers\base_wrapper.py", line 79, in getattr : [WinError 109] 管道已结束。

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "D:\py\learn2learn-master\examples\rl\maml_trpo.py", line 225, in if attr in self.dict.keys(): RecursionError: maximum recursion depth exceeded while calling a Python object main() File "D:\py\learn2learn-master\examples\rl\maml_trpo.py", line 140, in main env = l2l.gym.AsyncVectorEnv([make_env for _ in range(num_workers)]) File "D:\Anaconda\lib\site-packages\learn2learn\gym\async_vec_env.py", line 25, in init super(AsyncVectorEnv, self).init(env_fns, queue=self.queue) File "D:\Anaconda\lib\site-packages\learn2learn\gym\envs\subproc_vec_env.py", line 73, in init observation_space, action_space = self.remotes[0].recv() File "D:\Anaconda\lib\multiprocessing\connection.py", line 250, in recv buf = self._recv_bytes() File "D:\Anaconda\lib\multiprocessing\connection.py", line 321, in _recv_bytes raise EOFError EOFError

I encountered the above error when running the code in learn2learn-master\examples\rl\maml_trpo.py, and I'm not sure what the reason is. I suspect it might be related to the Cherry version. The Cherry version I have installed is 0.20.0. Who can help me pinpoint the issue?

[ermengji]

do u figure out?