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>
47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
from typing import Any, Callable, List, Optional
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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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class DummyEnvWorker(EnvWorker):
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"""Dummy worker used in sequential vector environments."""
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def __init__(self, env_fn: Callable[[], gym.Env]) -> None:
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self.env = 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 getattr(self.env, key)
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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 reset(self) -> Any:
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return self.env.reset()
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@staticmethod
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def wait( # type: ignore
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workers: List["DummyEnvWorker"], wait_num: int, timeout: Optional[float] = None
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) -> List["DummyEnvWorker"]:
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# Sequential EnvWorker objects are always ready
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return workers
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def send(self, action: Optional[np.ndarray]) -> None:
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if action is None:
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self.result = self.env.reset()
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else:
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self.result = self.env.step(action)
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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 self.env.seed(seed)
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def render(self, **kwargs: Any) -> Any:
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return self.env.render(**kwargs)
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def close_env(self) -> None:
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self.env.close()
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