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([makeenv 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?
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([makeenv 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?