9c100e0705
- change the internal API name of worker: send_action -> send, get_result -> recv (align with envpool) - add a timing test for venvs.reset() to make sure the concurrent execution - change venvs.reset() logic Co-authored-by: Jiayi Weng <trinkle23897@gmail.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
from typing import Any, Callable, List, Optional, Tuple, Union
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import gym
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import numpy as np
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from tianshou.env.worker import EnvWorker
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try:
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import ray
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except ImportError:
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pass
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class _SetAttrWrapper(gym.Wrapper):
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def set_env_attr(self, key: str, value: Any) -> None:
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setattr(self.env, key, value)
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def get_env_attr(self, key: str) -> Any:
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return getattr(self.env, key)
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class RayEnvWorker(EnvWorker):
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"""Ray worker used in RayVectorEnv."""
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def __init__(self, env_fn: Callable[[], gym.Env]) -> None:
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self.env = ray.remote(_SetAttrWrapper).options(num_cpus=0).remote(env_fn())
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super().__init__(env_fn)
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def get_env_attr(self, key: str) -> Any:
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return ray.get(self.env.get_env_attr.remote(key))
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def set_env_attr(self, key: str, value: Any) -> None:
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ray.get(self.env.set_env_attr.remote(key, value))
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def reset(self) -> Any:
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return ray.get(self.env.reset.remote())
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@staticmethod
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def wait( # type: ignore
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workers: List["RayEnvWorker"], wait_num: int, timeout: Optional[float] = None
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) -> List["RayEnvWorker"]:
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results = [x.result for x in workers]
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ready_results, _ = ray.wait(results, num_returns=wait_num, timeout=timeout)
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return [workers[results.index(result)] for result in ready_results]
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def send(self, action: Optional[np.ndarray]) -> None:
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# self.action is actually a handle
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if action is None:
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self.result = self.env.reset.remote()
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else:
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self.result = self.env.step.remote(action)
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def recv(
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self
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) -> Union[Tuple[np.ndarray, np.ndarray, np.ndarray, np.ndarray], np.ndarray]:
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return ray.get(self.result)
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def seed(self, seed: Optional[int] = None) -> List[int]:
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super().seed(seed)
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return ray.get(self.env.seed.remote(seed))
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def render(self, **kwargs: Any) -> Any:
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return ray.get(self.env.render.remote(**kwargs))
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def close_env(self) -> None:
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ray.get(self.env.close.remote())
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