本文整理匯總了Python中baselines.common.vec_env.CloudpickleWrapper方法的典型用法代碼示例。如果您正苦於以下問題：Python vec_env.CloudpickleWrapper方法的具體用法？Python vec_env.CloudpickleWrapper怎麽用？Python vec_env.CloudpickleWrapper使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類baselines.common.vec_env的用法示例。
在下文中一共展示了vec_env.CloudpickleWrapper方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: __init__
# 需要導入模塊: from baselines.common import vec_env [as 別名]
# 或者: from baselines.common.vec_env import CloudpickleWrapper [as 別名]
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__
# 需要導入模塊: from baselines.common import vec_env [as 別名]
# 或者: from baselines.common.vec_env import CloudpickleWrapper [as 別名]
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__
# 需要導入模塊: from baselines.common import vec_env [as 別名]
# 或者: from baselines.common.vec_env import CloudpickleWrapper [as 別名]
def __init__(self, env_fns, is_multi_agent=False):
"""
envs: list of gym environments to run in subprocesses
"""
nenvs = len(env_fns)
self.remotes, self.work_remotes = zip(*[Pipe() for _ in range(nenvs)])
self.ps = [Process(target=worker, args=(work_remote, CloudpickleWrapper(env_fn), is_multi_agent))
for (work_remote, env_fn) in zip(self.work_remotes, env_fns)]
for p in self.ps:
p.daemon = True
p.start()
for remote in self.work_remotes:
remote.close()
self.remotes[0].send(('get_spaces', None))
self.action_space, self.observation_space = self.remotes[0].recv()
self.is_multi_agent = is_multi_agent
self.num_agents = None
if is_multi_agent:
try:
n = len(self.action_space)
except:
n = len(self.action_space.spaces)
self.num_agents = n 示例4: __init__
# 需要導入模塊: from baselines.common import vec_env [as 別名]
# 或者: from baselines.common.vec_env import CloudpickleWrapper [as 別名]
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5: __init__
# 需要導入模塊: from baselines.common import vec_env [as 別名]
# 或者: from baselines.common.vec_env import CloudpickleWrapper [as 別名]
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())