本文整理汇总了Python中baselines.common.vec_env.VecEnv.__init__方法的典型用法代码示例。如果您正苦于以下问题：Python VecEnv.__init__方法的具体用法？Python VecEnv.__init__怎么用？Python VecEnv.__init__使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类baselines.common.vec_env.VecEnv的用法示例。
在下文中一共展示了VecEnv.__init__方法的6个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, env_fns, spaces=None):
"""
envs: list of gym environments to run in subprocesses
"""
self.waiting = False
self.closed = False
nenvs = len(env_fns)
self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(nenvs)])
self.ps = [Process(target=worker, args=(work_remote, remote, CloudpickleWrapper(env_fn)))
for (work_remote, remote, env_fn) in zip(self.work_remotes, self.remotes, env_fns)]
for p in self.ps:
p.daemon = True # if the main process crashes, we should not cause things to hang
p.start()
for remote in self.work_remotes:
remote.close()
self.remotes[0].send(('get_spaces', None))
observation_space, action_space = self.remotes[0].recv()
VecEnv.__init__(self, len(env_fns), observation_space, action_space) 示例2: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, env_fns, spaces=None):
"""
envs: list of gym environments to run in subprocesses
"""
self.waiting = False
self.closed = False
nenvs = len(env_fns)
self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(nenvs)])
self.ps = [Process(target=worker, args=(work_remote, remote, CloudpickleWrapper(env_fn)))
for (work_remote, remote, env_fn) in zip(self.work_remotes, self.remotes, env_fns)]
for p in self.ps:
p.daemon = True # if the main process crashes, we should not cause things to hang
p.start()
for remote in self.work_remotes:
remote.close()
self.remotes[0].send(('get_spaces', None))
observation_space, action_space = self.remotes[0].recv()
VecEnv.__init__(self, len(env_fns), observation_space, action_space) 示例3: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, env_fns, spaces=None):
"""
envs: list of gym environments to run in subprocesses
"""
self.waiting = False
self.closed = False
nenvs = len(env_fns)
self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(nenvs)])
self.ps = [Process(target=worker, args=(work_remote, remote, CloudpickleWrapper(env_fn)))
for (work_remote, remote, env_fn) in zip(self.work_remotes, self.remotes, env_fns)]
for p in self.ps:
p.daemon = True # if the main process crashes, we should not cause things to hang
p.start()
for remote in self.work_remotes:
remote.close()
self.remotes[0].send(('get_spaces', None))
observation_space, action_space = self.remotes[0].recv()
self.remotes[0].send(('get_agent_types', None))
self.agent_types = self.remotes[0].recv()
VecEnv.__init__(self, len(env_fns), observation_space, action_space) 示例4: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, env_fns, spaces=None):
"""
envs: list of gym environments to run in subprocesses
"""
self.waiting = False
self.closed = False
nenvs = len(env_fns)
self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(nenvs)])
self.ps = [Process(target=worker, args=(work_remote, remote, CloudpickleWrapper(env_fn)))
for (work_remote, remote, env_fn) in zip(self.work_remotes, self.remotes, env_fns)]
for p in self.ps:
p.daemon = True # if the main process crashes, we should not cause things to hang
p.start()
for remote in self.work_remotes:
remote.close()
self.remotes[0].send(('get_spaces', None))
observation_space, action_space = self.remotes[0].recv()
VecEnv.__init__(self, len(env_fns), observation_space, action_space)
self.sensor_names = set(observation_space.spaces.keys()) 示例5: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, env_fns):
self.envs = [fn() for fn in env_fns]
env = self.envs[0]
VecEnv.__init__(self, len(env_fns), env.observation_space, env.action_space)
shapes, dtypes = {}, {}
self.keys = []
obs_space = env.observation_space
if isinstance(obs_space, spaces.Dict):
assert isinstance(obs_space.spaces, OrderedDict)
subspaces = obs_space.spaces
else:
subspaces = {None: obs_space}
for key, box in subspaces.items():
shapes[key] = box.shape
dtypes[key] = box.dtype
self.keys.append(key)
self.buf_obs = { k: np.zeros((self.num_envs,) + tuple(shapes[k]), dtype=dtypes[k]) for k in self.keys }
self.buf_dones = np.zeros((self.num_envs,), dtype=np.bool)
self.buf_rews = np.zeros((self.num_envs,), dtype=np.float32)
self.buf_infos = [{} for _ in range(self.num_envs)]
self.actions = None 示例6: __init__
# 需要导入模块: from baselines.common.vec_env import VecEnv [as 别名]
# 或者: from baselines.common.vec_env.VecEnv import __init__ [as 别名]
def __init__(self, venv, nstack, device=None):
self.venv = venv
self.nstack = nstack
wos = venv.observation_space # wrapped ob space
self.shape_dim0 = wos.shape[0]
low = np.repeat(wos.low, self.nstack, axis=0)
high = np.repeat(wos.high, self.nstack, axis=0)
if device is None:
device = torch.device('cpu')
self.stacked_obs = torch.zeros((venv.num_envs,) + low.shape).to(device)
observation_space = gym.spaces.Box(
low=low, high=high, dtype=venv.observation_space.dtype)
VecEnvWrapper.__init__(
self, venv, observation_space=observation_space)