本文整理匯總了Python中baselines.common.cmd_util.parse_unknown_args方法的典型用法代碼示例。如果您正苦於以下問題：Python cmd_util.parse_unknown_args方法的具體用法？Python cmd_util.parse_unknown_args怎麽用？Python cmd_util.parse_unknown_args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.cmd_util的用法示例。
在下文中一共展示了cmd_util.parse_unknown_args方法的2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: main
# 需要導入模塊: from baselines.common import cmd_util [as 別名]
# 或者: from baselines.common.cmd_util import parse_unknown_args [as 別名]
def main(custom_args=[]):
# configure logger, disable logging in child MPI processes (with rank > 0)
arg_parser = common_arg_parser()
args, unknown_args = arg_parser.parse_known_args()
extra_args = {}
for arg in custom_args:
if arg in vars(args).keys():
vars(args)[arg] = custom_args[arg]
else:
extra_args[arg] = custom_args[arg]
#extra_args = {k: parse(v) for k,v in parse_unknown_args(unknown_args).items()}
if MPI is None or MPI.COMM_WORLD.Get_rank() == 0:
rank = 0
logger.configure(format_strs = ['stdout', 'tensorboard'])
else:
logger.configure(format_strs = ['stdout', 'tensorboard'])
rank = MPI.COMM_WORLD.Get_rank()
model, _ = train(args, extra_args)
if args.save_path is not None and rank == 0:
save_path = osp.expanduser(args.save_path)
model.save(save_path)
if args.play:
logger.log("Running trained model")
env = build_env(args)
obs = env.reset()
while True:
actions = model.step(obs)[0]
obs, _, done, _ = env.step(actions)
env.render()
done = done.any() if isinstance(done, np.ndarray) else done
if done:
obs = env.reset() 示例2: parse_cmdline_kwargs
# 需要導入模塊: from baselines.common import cmd_util [as 別名]
# 或者: from baselines.common.cmd_util import parse_unknown_args [as 別名]
def parse_cmdline_kwargs(args):
'''
convert a list of '='-spaced command-line arguments to a dictionary, evaluating python objects when possible
'''
def parse(v):
assert isinstance(v, str)
try:
return eval(v)
except (NameError, SyntaxError):
return v
return {k: parse(v) for k,v in parse_unknown_args(args).items()}