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'
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?