You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I implemented a customized version of the gym reacher environment - actually using an aditional parameter (cameras) for rendering in multiple camera perspectives. I also wrapped the environment with GymEnv
This works in general fine, but I run into problems when using multiple workers (with LocalSampler). As far as I understand for splitting the work on multiple workers, multiple environments are generated. Unfortunately then my environments are not built correctly anymore - it seems not able to handle the custom parameter - does anyone know any help?
File "/home/name/Desktop/launch_script_reacher.py", line 86, in <module>
run_my_reacher(mode="rgb_array",iterations=10)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/garage/experiment/experiment.py", line 369, in __call__
result = self.function(ctxt, **kwargs)
File "/home/name/Desktop/my_folder/launch_reacher.py", line 53, in run_my_reacher
worker_class=worker_with_disc)
File "/home/name/Desktop/my_folder/helper/own_local_sampler.py", line 154, in __init__
worker_class=worker_class,worker_args=worker_args
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/garage/sampler/local_sampler.py", line 79, in __init__
envs, preprocess=copy.deepcopy)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/garage/sampler/worker_factory.py", line 95, in prepare_worker_messages
return [preprocess(objs) for _ in range(self.n_workers)]
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/garage/sampler/worker_factory.py", line 95, in <listcomp>
return [preprocess(objs) for _ in range(self.n_workers)]
File "/home/name/anaconda3/envs/my_env/lib/python3.7/copy.py", line 169, in deepcopy
rv = reductor(4)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/garage/envs/gym_env.py", line 353, in __getstate__
state = copy.deepcopy(self.__dict__)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/copy.py", line 150, in deepcopy
y = copier(x, memo)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/copy.py", line 241, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/copy.py", line 180, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/copy.py", line 283, in _reconstruct
y.__setstate__(state)
File "/home/name/anaconda3/envs/my_env/lib/python3.7/site-packages/gym/utils/ezpickle.py", line 26, in __setstate__
out = type(self)(*d["_ezpickle_args"], **d["_ezpickle_kwargs"])
TypeError: __init__() missing 1 required positional argument: 'cameras'
The text was updated successfully, but these errors were encountered:
Hi
I implemented a customized version of the gym reacher environment - actually using an aditional parameter (cameras) for rendering in multiple camera perspectives. I also wrapped the environment with GymEnv
This works in general fine, but I run into problems when using multiple workers (with LocalSampler). As far as I understand for splitting the work on multiple workers, multiple environments are generated. Unfortunately then my environments are not built correctly anymore - it seems not able to handle the custom parameter - does anyone know any help?
The text was updated successfully, but these errors were encountered: