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Thanks a lot for providing such a nice framework to enable the job scheduling. However, when I tried to run your code with main.py and install the requirements. I found that some of the versions of the libraries didn't match. I spent a lot of time to match all the versions and now it seemed to work.
But I can't find the environment at all even if I refer to your answer here #28. Based on your answers, I added these lines in main.py
/home/fan/anaconda3/bin/conda run -n JSSEnv-master --no-capture-output python /mnt/d/OneDrive - The University of Nottingham/ESR1/work/Job Shop scheduling/RL-Job-Shop-Scheduling/JSS/main.py
wandb: Tracking run with wandb version 0.10.22
wandb: Syncing run legendary-lion-50
wandb: ⭐️ View project at https://wandb.ai/univeristynottingham/uncategorized
wandb: 🚀 View run at https://wandb.ai/univeristynottingham/uncategorized/runs/hyb4ba40
wandb: Run data is saved locally in /mnt/d/OneDrive - The University of Nottingham/ESR1/work/Job Shop scheduling/RL-Job-Shop-Scheduling/JSS/wandb/run-20230103_170136-hyb4ba40
wandb: Run wandb offline to turn off syncing.
2023-01-03 17:01:44,793 INFO trainer.py:2332 -- Your framework setting is 'tf', meaning you are using static-graph mode. Set framework='tf2' to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.
2023-01-03 17:01:44,794 WARNING deprecation.py:46 -- DeprecationWarning: simple_optimizer has been deprecated. This will raise an error in the future!
2023-01-03 17:01:44,795 WARNING deprecation.py:46 -- DeprecationWarning: metrics_smoothing_episodes has been deprecated. Use metrics_num_episodes_for_smoothing instead. This will raise an error in the future!
2023-01-03 17:01:44,795 WARNING ppo.py:386 -- train_batch_size (33000) cannot be achieved with your other settings (num_workers=16 num_envs_per_worker=4 rollout_fragment_length=704)! Auto-adjusting rollout_fragment_length to 515.
2023-01-03 17:01:44,795 INFO ppo.py:414 -- In multi-agent mode, policies will be optimized sequentially by the multi-GPU optimizer. Consider setting simple_optimizer=True if this doesn't work for you.
2023-01-03 17:01:44,795 INFO trainer.py:903 -- Current log_level is WARN. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.
(pid=5105)
(pid=5101)
(pid=5107)
(pid=5103)
(pid=5100)
(pid=5109)
(pid=5111)
(pid=5099)
(pid=5112)
(pid=5098)
(pid=5108)
(pid=5102)
(pid=5110)
(pid=5579)
(pid=5582)
(pid=5580)
(pid=5104)
(pid=5106)
(pid=5574)
(pid=5578)
(pid=5097)
(pid=5577)
(pid=5576)
(pid=5581)
(pid=5584)
(pid=5585)
(pid=5583)
(pid=5587)
(pid=5575)
(pid=5589)
(pid=5588)
(pid=5586)
(RolloutWorker pid=5576) 2023-01-03 17:01:53,202 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5576, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f9485a6ce80>)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5576) return registry.make(id, **kwargs)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5576) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5576) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5576) raise error.NameNotFound(message)
(RolloutWorker pid=5576) gym.error.NameNotFound: Environment jss doesn't exist.
(RolloutWorker pid=5576)
(RolloutWorker pid=5576) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5576)
(RolloutWorker pid=5576) ray::RolloutWorker.init() (pid=5576, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f9485a6ce80>)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5576) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5576) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5576) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5576) a) Not a supported/installed environment.
(RolloutWorker pid=5576) b) Not a tune-registered environment creator.
(RolloutWorker pid=5576) c) Not a valid env class string.
(RolloutWorker pid=5576)
(RolloutWorker pid=5576) Try one of the following:
(RolloutWorker pid=5576) a) For Atari support: pip install gym[atari] autorom[accept-rom-license].
(RolloutWorker pid=5576) For VizDoom support: Install VizDoom
(RolloutWorker pid=5576) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5576) pip install vizdoomgym.
(RolloutWorker pid=5576) For PyBullet support: pip install pybullet.
(RolloutWorker pid=5576) b) To register your custom env, do from ray import tune; (RolloutWorker pid=5576) tune.register('[name]', lambda cfg: [return env obj from here using cfg]).
(RolloutWorker pid=5576) Then in your config, do config['env'] = [name].
(RolloutWorker pid=5576) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5576) ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5584) 2023-01-03 17:01:53,224 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5584, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f26b16a8e80>)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5584) return registry.make(id, **kwargs)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5584) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5584) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5584) raise error.NameNotFound(message)
(RolloutWorker pid=5584) gym.error.NameNotFound: Environment jss doesn't exist.
(RolloutWorker pid=5584)
(RolloutWorker pid=5584) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5584)
(RolloutWorker pid=5584) ray::RolloutWorker.init() (pid=5584, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f26b16a8e80>)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5584) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5584) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5584) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5584) a) Not a supported/installed environment.
(RolloutWorker pid=5584) b) Not a tune-registered environment creator.
(RolloutWorker pid=5584) c) Not a valid env class string.
(RolloutWorker pid=5584)
(RolloutWorker pid=5584) Try one of the following:
(RolloutWorker pid=5584) a) For Atari support: pip install gym[atari] autorom[accept-rom-license].
(RolloutWorker pid=5584) For VizDoom support: Install VizDoom
(RolloutWorker pid=5584) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5584) pip install vizdoomgym.
(RolloutWorker pid=5584) For PyBullet support: pip install pybullet.
(RolloutWorker pid=5584) b) To register your custom env, do from ray import tune; (RolloutWorker pid=5584) tune.register('[name]', lambda cfg: [return env obj from here using cfg]).
(RolloutWorker pid=5584) Then in your config, do config['env'] = [name].
(RolloutWorker pid=5584) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5584) ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5579) 2023-01-03 17:01:53,340 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5579, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f858809ce80>)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5579) return registry.make(id, **kwargs)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5579) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5579) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5579) raise error.NameNotFound(message)
(RolloutWorker pid=5579) gym.error.NameNotFound: Environment jss doesn't exist.
(RolloutWorker pid=5579)
(RolloutWorker pid=5579) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5579)
(RolloutWorker pid=5579) ray::RolloutWorker.init() (pid=5579, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f858809ce80>)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5579) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5579) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5579) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5579) a) Not a supported/installed environment.
(RolloutWorker pid=5579) b) Not a tune-registered environment creator.
(RolloutWorker pid=5579) c) Not a valid env class string.
(RolloutWorker pid=5579)
(RolloutWorker pid=5579) Try one of the following:
(RolloutWorker pid=5579) a) For Atari support: pip install gym[atari] autorom[accept-rom-license].
(RolloutWorker pid=5579) For VizDoom support: Install VizDoom
(RolloutWorker pid=5579) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5579) pip install vizdoomgym.
(RolloutWorker pid=5579) For PyBullet support: pip install pybullet.
(RolloutWorker pid=5579) b) To register your custom env, do from ray import tune; (RolloutWorker pid=5579) tune.register('[name]', lambda cfg: [return env obj from here using cfg]).
(RolloutWorker pid=5579) Then in your config, do config['env'] = [name].
(RolloutWorker pid=5579) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5579) ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5582) 2023-01-03 17:01:53,322 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5582, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f36879d4e50>)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5582) return registry.make(id, **kwargs)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5582) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5582) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5582) raise error.NameNotFound(message)
(RolloutWorker pid=5582) gym.error.NameNotFound: Environment jss doesn't exist.
(RolloutWorker pid=5582)
(RolloutWorker pid=5582) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5582)
(RolloutWorker pid=5582) ray::RolloutWorker.init() (pid=5582, ip=172.30.112.110, repr=
Process finished with exit code 1
The text was updated successfully, but these errors were encountered:
Thanks a lot for providing such a nice framework to enable the job scheduling. However, when I tried to run your code with main.py and install the requirements. I found that some of the versions of the libraries didn't match. I spent a lot of time to match all the versions and now it seemed to work.
But I can't find the environment at all even if I refer to your answer here
#28. Based on your answers, I added these lines in main.py
gym.envs.register(
id='JSSEnv:jss-v1',
entry_point='JSSEnv:JSSEnv'
)
This is what I got.
/home/fan/anaconda3/bin/conda run -n JSSEnv-master --no-capture-output python /mnt/d/OneDrive - The University of Nottingham/ESR1/work/Job Shop scheduling/RL-Job-Shop-Scheduling/JSS/main.py
Starting Ray
<module 'tensorflow' from '/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/tensorflow/init.py'>
{'real_obs': array([[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
[1., 0., 0., 0., 0., 0., 0.],
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[1., 0., 0., 0., 0., 0., 0.]]), 'action_mask': array([ True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
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True, True, True, True, True, True, True, True, True,
True, True, True, True, True, True, True, True, True,
True, False])}
wandb: Currently logged in as: univeristynottingham (use
wandb login --relogin
to force relogin)wandb: wandb version 0.13.7 is available! To upgrade, please run:
wandb: $ pip install wandb --upgrade
wandb: Tracking run with wandb version 0.10.22
wandb: Syncing run legendary-lion-50
wandb: ⭐️ View project at https://wandb.ai/univeristynottingham/uncategorized
wandb: 🚀 View run at https://wandb.ai/univeristynottingham/uncategorized/runs/hyb4ba40
wandb: Run data is saved locally in /mnt/d/OneDrive - The University of Nottingham/ESR1/work/Job Shop scheduling/RL-Job-Shop-Scheduling/JSS/wandb/run-20230103_170136-hyb4ba40
wandb: Run
wandb offline
to turn off syncing.2023-01-03 17:01:44,793 INFO trainer.py:2332 -- Your framework setting is 'tf', meaning you are using static-graph mode. Set framework='tf2' to enable eager execution with tf2.x. You may also then want to set eager_tracing=True in order to reach similar execution speed as with static-graph mode.
2023-01-03 17:01:44,794 WARNING deprecation.py:46 -- DeprecationWarning:
simple_optimizer
has been deprecated. This will raise an error in the future!2023-01-03 17:01:44,795 WARNING deprecation.py:46 -- DeprecationWarning:
metrics_smoothing_episodes
has been deprecated. Usemetrics_num_episodes_for_smoothing
instead. This will raise an error in the future!2023-01-03 17:01:44,795 WARNING ppo.py:386 --
train_batch_size
(33000) cannot be achieved with your other settings (num_workers=16 num_envs_per_worker=4 rollout_fragment_length=704)! Auto-adjustingrollout_fragment_length
to 515.2023-01-03 17:01:44,795 INFO ppo.py:414 -- In multi-agent mode, policies will be optimized sequentially by the multi-GPU optimizer. Consider setting simple_optimizer=True if this doesn't work for you.
2023-01-03 17:01:44,795 INFO trainer.py:903 -- Current log_level is WARN. For more information, set 'log_level': 'INFO' / 'DEBUG' or use the -v and -vv flags.
(pid=5105)
(pid=5101)
(pid=5107)
(pid=5103)
(pid=5100)
(pid=5109)
(pid=5111)
(pid=5099)
(pid=5112)
(pid=5098)
(pid=5108)
(pid=5102)
(pid=5110)
(pid=5579)
(pid=5582)
(pid=5580)
(pid=5104)
(pid=5106)
(pid=5574)
(pid=5578)
(pid=5097)
(pid=5577)
(pid=5576)
(pid=5581)
(pid=5584)
(pid=5585)
(pid=5583)
(pid=5587)
(pid=5575)
(pid=5589)
(pid=5588)
(pid=5586)
(RolloutWorker pid=5576) 2023-01-03 17:01:53,202 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5576, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f9485a6ce80>)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5576) return registry.make(id, **kwargs)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5576) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5576) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5576) raise error.NameNotFound(message)
(RolloutWorker pid=5576) gym.error.NameNotFound: Environment
jss
doesn't exist.(RolloutWorker pid=5576)
(RolloutWorker pid=5576) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5576)
(RolloutWorker pid=5576) ray::RolloutWorker.init() (pid=5576, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f9485a6ce80>)
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5576) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5576) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5576) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5576) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5576) a) Not a supported/installed environment.
(RolloutWorker pid=5576) b) Not a tune-registered environment creator.
(RolloutWorker pid=5576) c) Not a valid env class string.
(RolloutWorker pid=5576)
(RolloutWorker pid=5576) Try one of the following:
(RolloutWorker pid=5576) a) For Atari support:
pip install gym[atari] autorom[accept-rom-license]
.(RolloutWorker pid=5576) For VizDoom support: Install VizDoom
(RolloutWorker pid=5576) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5576)
pip install vizdoomgym
.(RolloutWorker pid=5576) For PyBullet support:
pip install pybullet
.(RolloutWorker pid=5576) b) To register your custom env, do
from ray import tune; (RolloutWorker pid=5576) tune.register('[name]', lambda cfg: [return env obj from here using cfg])
.(RolloutWorker pid=5576) Then in your config, do
config['env'] = [name]
.(RolloutWorker pid=5576) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5576)
ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5584) 2023-01-03 17:01:53,224 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5584, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f26b16a8e80>)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5584) return registry.make(id, **kwargs)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5584) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5584) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5584) raise error.NameNotFound(message)
(RolloutWorker pid=5584) gym.error.NameNotFound: Environment
jss
doesn't exist.(RolloutWorker pid=5584)
(RolloutWorker pid=5584) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5584)
(RolloutWorker pid=5584) ray::RolloutWorker.init() (pid=5584, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f26b16a8e80>)
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5584) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5584) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5584) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5584) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5584) a) Not a supported/installed environment.
(RolloutWorker pid=5584) b) Not a tune-registered environment creator.
(RolloutWorker pid=5584) c) Not a valid env class string.
(RolloutWorker pid=5584)
(RolloutWorker pid=5584) Try one of the following:
(RolloutWorker pid=5584) a) For Atari support:
pip install gym[atari] autorom[accept-rom-license]
.(RolloutWorker pid=5584) For VizDoom support: Install VizDoom
(RolloutWorker pid=5584) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5584)
pip install vizdoomgym
.(RolloutWorker pid=5584) For PyBullet support:
pip install pybullet
.(RolloutWorker pid=5584) b) To register your custom env, do
from ray import tune; (RolloutWorker pid=5584) tune.register('[name]', lambda cfg: [return env obj from here using cfg])
.(RolloutWorker pid=5584) Then in your config, do
config['env'] = [name]
.(RolloutWorker pid=5584) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5584)
ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5579) 2023-01-03 17:01:53,340 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5579, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f858809ce80>)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5579) return registry.make(id, **kwargs)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5579) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5579) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5579) raise error.NameNotFound(message)
(RolloutWorker pid=5579) gym.error.NameNotFound: Environment
jss
doesn't exist.(RolloutWorker pid=5579)
(RolloutWorker pid=5579) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5579)
(RolloutWorker pid=5579) ray::RolloutWorker.init() (pid=5579, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f858809ce80>)
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/evaluation/rollout_worker.py", line 506, in init
(RolloutWorker pid=5579) self.env = env_creator(copy.deepcopy(self.env_context))
(RolloutWorker pid=5579) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/ray/rllib/env/utils.py", line 56, in gym_env_creator
(RolloutWorker pid=5579) raise EnvError(ERR_MSG_INVALID_ENV_DESCRIPTOR.format(env_descriptor))
(RolloutWorker pid=5579) ray.rllib.utils.error.EnvError: The env string you provided ('jss-v1') is:
(RolloutWorker pid=5579) a) Not a supported/installed environment.
(RolloutWorker pid=5579) b) Not a tune-registered environment creator.
(RolloutWorker pid=5579) c) Not a valid env class string.
(RolloutWorker pid=5579)
(RolloutWorker pid=5579) Try one of the following:
(RolloutWorker pid=5579) a) For Atari support:
pip install gym[atari] autorom[accept-rom-license]
.(RolloutWorker pid=5579) For VizDoom support: Install VizDoom
(RolloutWorker pid=5579) (https://github.com/mwydmuch/ViZDoom/blob/master/doc/Building.md) and
(RolloutWorker pid=5579)
pip install vizdoomgym
.(RolloutWorker pid=5579) For PyBullet support:
pip install pybullet
.(RolloutWorker pid=5579) b) To register your custom env, do
from ray import tune; (RolloutWorker pid=5579) tune.register('[name]', lambda cfg: [return env obj from here using cfg])
.(RolloutWorker pid=5579) Then in your config, do
config['env'] = [name]
.(RolloutWorker pid=5579) c) Make sure you provide a fully qualified classpath, e.g.:
(RolloutWorker pid=5579)
ray.rllib.examples.env.repeat_after_me_env.RepeatAfterMeEnv
(RolloutWorker pid=5582) 2023-01-03 17:01:53,322 ERROR worker.py:451 -- Exception raised in creation task: The actor died because of an error raised in its creation task, ray::RolloutWorker.init() (pid=5582, ip=172.30.112.110, repr=<ray.rllib.evaluation.rollout_worker.RolloutWorker object at 0x7f36879d4e50>)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 676, in make
(RolloutWorker pid=5582) return registry.make(id, **kwargs)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 490, in make
(RolloutWorker pid=5582) versions = self.env_specs.versions(namespace, name)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 220, in versions
(RolloutWorker pid=5582) self._assert_name_exists(namespace, name)
(RolloutWorker pid=5582) File "/home/fan/anaconda3/envs/JSSEnv-master/lib/python3.10/site-packages/gym/envs/registration.py", line 297, in _assert_name_exists
(RolloutWorker pid=5582) raise error.NameNotFound(message)
(RolloutWorker pid=5582) gym.error.NameNotFound: Environment
jss
doesn't exist.(RolloutWorker pid=5582)
(RolloutWorker pid=5582) During handling of the above exception, another exception occurred:
(RolloutWorker pid=5582)
(RolloutWorker pid=5582) ray::RolloutWorker.init() (pid=5582, ip=172.30.112.110, repr=
Process finished with exit code 1
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