mirror of
https://github.com/wassname/pytorch-a2c-ppo-acktr.git
synced 2026-06-27 16:20:05 +08:00
Ilya Kostrikov
37 lines
1.0 KiB
Python
Executable File
37 lines
1.0 KiB
Python
Executable File
import os
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import gym
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from gym.spaces.box import Box
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from baselines import bench
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from baselines.common.atari_wrappers import wrap_deepmind
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def make_env(env_id, seed, rank, log_dir):
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def _thunk():
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if env_id.find('Bullet') > -1:
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import pybullet_envs
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env = pybullet_envs.make(env_id)
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else:
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env = gym.make(env_id)
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env.seed(seed + rank)
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env = bench.Monitor(env,
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os.path.join(log_dir,
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"{}.monitor.json".format(rank)))
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# Ugly hack to detect atari.
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if env.action_space.__class__.__name__ == 'Discrete':
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env = wrap_deepmind(env)
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env = WrapPyTorch(env)
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return env
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return _thunk
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class WrapPyTorch(gym.ObservationWrapper):
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def __init__(self, env=None):
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super(WrapPyTorch, self).__init__(env)
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self.observation_space = Box(0.0, 1.0, [1, 84, 84])
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def _observation(self, observation):
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return observation.transpose(2, 0, 1)
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