| """ |
| ManiSkill StackThreeCube 向量化环境构造。 |
| |
| - ``sim_backend=gpu``:单进程内 ``num_envs=n``(GPU 批量仿真)。 |
| - ``sim_backend=cpu``:禁止单进程 ``num_envs>1``,使用 ``AsyncVectorEnv`` 多进程,每进程 ``num_envs=1``。 |
| |
| SAC / PPO 等脚本应复用 ``make_batched_stack_threecube_env``,避免再踩坑。 |
| """ |
| from __future__ import annotations |
|
|
| import os |
| from typing import Any |
|
|
|
|
| def single_action_space(env: Any) -> Any: |
| """ManiSkill 批量 env 与 gymnasium.VectorEnv:用 single_action_space 表示单环境动作。""" |
| return getattr(env, "single_action_space", env.action_space) |
|
|
|
|
| def make_batched_stack_threecube_env( |
| *, |
| env_id: str, |
| obs_mode: str, |
| control_mode: str, |
| sim_backend: str, |
| render_backend: str, |
| num_envs: int, |
| ) -> Any: |
| import gymnasium as gym |
| from gymnasium.vector import AsyncVectorEnv |
|
|
| import mani_skill.envs |
| import vagen.env.primitive_skill.maniskill.env |
|
|
| n = int(num_envs) |
| sb = str(sim_backend).lower() |
|
|
| if sb == "cpu" and n > 1: |
|
|
| def make_one() -> Any: |
| |
| os.environ.setdefault("CUDA_VISIBLE_DEVICES", "") |
| return gym.make( |
| env_id, |
| num_envs=1, |
| obs_mode=obs_mode, |
| control_mode=control_mode, |
| render_mode="rgb_array", |
| sim_backend=sim_backend, |
| render_backend=render_backend, |
| ) |
|
|
| if n >= 32: |
| print( |
| f"[maniskill_vector_env] CPU 仿真 + AsyncVectorEnv:将启动 {n} 个子进程;" |
| "大规模训练请使用 --sim-backend gpu。" |
| ) |
| return AsyncVectorEnv( |
| [make_one for _ in range(n)], |
| shared_memory=False, |
| context="spawn", |
| ) |
|
|
| return gym.make( |
| env_id, |
| num_envs=n, |
| obs_mode=obs_mode, |
| control_mode=control_mode, |
| render_mode="rgb_array", |
| sim_backend=sim_backend, |
| render_backend=render_backend, |
| ) |
|
|