SubprocVecEnv example code does not work
See original GitHub issueI am opening a new issue because #40 does not match, and is a bit messy (and closed).
Describe the bug Subprocess creation fails. Same env works with DummyVecEnv.
UPDATE: Wrapping the whole code (or at least the SubprocVecEnv construction and subsequent usage) in an if __name__=="__main__":
solves the problem. Thus I guess this report should now be seen as a request to update the documentation to better accommodate for Windows users, as this seems to be a Windows thing, ref. where to put freeze_support() in a Python script?
Code example Example code from the documentation:
import gym
import numpy as np
from stable_baselines.common.policies import MlpPolicy
from stable_baselines.common.vec_env import SubprocVecEnv
from stable_baselines.common import set_global_seeds
from stable_baselines import ACKTR
def make_env(env_id, rank, seed=0):
"""
Utility function for multiprocessed env.
:param env_id: (str) the environment ID
:param num_env: (int) the number of environments you wish to have in subprocesses
:param seed: (int) the inital seed for RNG
:param rank: (int) index of the subprocess
"""
def _init():
env = gym.make(env_id)
env.seed(seed + rank)
return env
set_global_seeds(seed)
return _init
env_id = "CartPole-v1"
num_cpu = 4 # Number of processes to use
# Create the vectorized environment
env = SubprocVecEnv([make_env(env_id, i) for i in range(num_cpu)])
model = ACKTR(MlpPolicy, env, verbose=1)
model.learn(total_timesteps=25000)
obs = env.reset()
for _ in range(1000):
action, _states = model.predict(obs)
obs, rewards, dones, info = env.step(action)
env.render()
System Info
- Windows 10 x64
- Installed stable-baselines with pip yesterday
- GPU: Single Nvidia GTX1070
- Python 3.6.7
- tensorflow-gpu 1.12.0 (from pip)
- gym 0.10.9 (from pip)
- MS_MPI 10.0.12498.5 and MS_MPI SDK (default download from Microsoft as of yesterday)
- CUDA 9.0 with patches and CuDNN 7.4.1.5
Additional context Console output for num_cpus=1 (same error message, but a shorter read):
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 105, in spawn_main
exitcode = _main(fd)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 114, in _main
prepare(preparation_data)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 225, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 277, in _fixup_main_from_path
run_name="__mp_main__")
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 263, in run_path
pkg_name=pkg_name, script_name=fname)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 96, in _run_module_code
mod_name, mod_spec, pkg_name, script_name)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\runpy.py", line 85, in _run_code
exec(code, run_globals)
File "C:\Users\elias\Dropbox (Personal)\PhD\Projects\SMB\stable_baselines_multiproc_example.py", line 28, in <module>
env = SubprocVecEnv([make_env(env_id, i) for i in range(num_cpu)])
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\site-packages\stable_baselines\common\vec_env\subproc_vec_env.py", line 59, in __init__
process.start()
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\process.py", line 105, in start
self._popen = self._Popen(self)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\context.py", line 223, in _Popen
return _default_context.get_context().Process._Popen(process_obj)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\context.py", line 322, in _Popen
return Popen(process_obj)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\popen_spawn_win32.py", line 33, in __init__
prep_data = spawn.get_preparation_data(process_obj._name)
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 143, in get_preparation_data
_check_not_importing_main()
File "C:\Users\elias\AppData\Local\Programs\Python\Python36\lib\multiprocessing\spawn.py", line 136, in _check_not_importing_main
is not going to be frozen to produce an executable.''')
RuntimeError:
An attempt has been made to start a new process before the
current process has finished its bootstrapping phase.
This probably means that you are not using fork to start your
child processes and you have forgotten to use the proper idiom
in the main module:
if __name__ == '__main__':
freeze_support()
...
The "freeze_support()" line can be omitted if the program
is not going to be frozen to produce an executable.
Note that the program does not terminate.
Commenting out lines from the bottom of the file reveals that the crucial line is the one where the SubprocVecEnv is constructed (as can also be seen from the stack trace).
Issue Analytics
- State:
- Created 5 years ago
- Comments:7
Top GitHub Comments
You can put it around your whole script. Just make sure to indent the encapsulated code.
Could you update this post with a new example showing the solution? I’m trying to figure this out myself and can’t seem to solve where to put the
if name == ‘main’:
Will keep searching. Thanks in advance, have a great day.